Qin Ma

14.3k citations

382 papers · 9.0k · 4 hit papers · h-index 51

Impact in

Molecular Biology top 1%
- Single-cell and spatial transcriptomics
- Machine Learning in Bioinformatics
- Bioinformatics and Genomic Networks
- Gene expression and cancer classification
- RNA and protein synthesis mechanisms
- Genomics and Phylogenetic Studies
- Synthesis and bioactivity of alkaloids
Cancer Research top 2%

Papers in

Molecular Biology 198
- Single-cell and spatial transcriptomics 43
- Genomics and Phylogenetic Studies 36
- RNA and protein synthesis mechanisms 31
- Synthesis and bioactivity of alkaloids 27
- Gene expression and cancer classification 24
- Machine Learning in Bioinformatics 24
- Bioinformatics and Genomic Networks 23
Plant Science 35

Co-authors: Anjun Ma (46 shared papers)Bin Yu (17 shared papers)Bingqiang Liu (33 shared papers)Adam McDermaid (15 shared papers)Cankun Wang (33 shared papers)Dong Xu (18 shared papers)Yuzhou Chang (19 shared papers)Ying Xu (15 shared papers)
Journals: Briefings in Bioinformatics (14 papers)Bioinformatics (13 papers)Nature Communications (13 papers)Nucleic Acids Research (12 papers)European Journal of Medicinal Chemistry (8 papers)
Partner nations: China United States Israel

In The Last Decade

Qin Ma

359 papers receiving 8.9k citations

Qin Ma's Hit Papers

align trajectories log scale

A visual–omics foundation model to bridge histopathology with spatial transcriptomics 2025 · 25 citations

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if any of the following hold:

it has ≥500 total citations;
it reaches ≥1.5× the top-1% citation threshold for papers in the same subfield and year (the threshold is the minimum needed to enter the top 1%, not the average within it);
it reaches the top citation threshold in at least one of its specific research topics.

2025 Nature Methods
2023 BMC Psychiatry
2022 Nature Communications
2021 Nature Communications

Peers

Countries citing papers authored by Qin Ma

Since Specialization

Citations

This map shows the geographic impact of Qin Ma's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Qin Ma with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Qin Ma more than expected).

Fields of papers citing papers by Qin Ma

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Qin Ma. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Qin Ma. The network helps show where Qin Ma may publish in the future.

Co-authors

The 25 scholars most cited alongside Qin Ma, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Qin Ma Line = papers co-authored together Qin Ma links everyone, so they are left out of the graph.

All Works

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20 of 20 papers shown

Showing the 20 most-cited of 382 papers — load more, or switch the sort, to bring in the rest.

#	Work
1	scGNN is a novel graph neural network framework for single-cell RNA-Seq analyses Nature Communications ·Juexin Wang, Anjun Ma, Yuzhou Chang, Jianting Gong, Yuexu Jiang, Ren Qi, Cankun Wang, Hongjun Fu, Qin Ma, Dong Xu Hit paper breakdown →	2021	275
2	LightGBM-PPI: Predicting protein-protein interactions through LightGBM with multi-information fusion Chemometrics and Intelligent Laboratory Systems ·Cheng Chen, Qingmei Zhang, Qin Ma, Bin Yu	2019	220
3	Microglia coordinate cellular interactions during spinal cord repair in mice Nature Communications ·Faith H. Brennan, Yang Li, Cankun Wang, Anjun Ma, Qi Guo, Yi Li, Nicole Pukos, Warren A. Campbell, Kristina G. Witcher, Zhen Guan, Kristina A. Kigerl, Jodie C.E. Hall, Jonathan P. Godbout, Andy J. Fischer, Dana M. McTigue, Zhigang He, Qin Ma, Phillip G. Popovich Hit paper breakdown →	2022	201
4	Interpretation of differential gene expression results of RNA-seq data: review and integration Briefings in Bioinformatics ·Adam McDermaid, Brandon Monier, Jing Zhao, Bingqiang Liu, Qin Ma	2018	188
5	QUBIC: a qualitative biclustering algorithm for analyses of gene expression data Nucleic Acids Research ·Guojun Li, Qin Ma, Haibao Tang, Andrew H. Paterson, Ying Xu	2009	185
6	Improving protein-protein interactions prediction accuracy using XGBoost feature selection and stacked ensemble classifier Computers in Biology and Medicine ·Cheng Chen, Qingmei Zhang, Bin Yu, Zhaomin Yu, Patrick J. Lawrence, Qin Ma, Yan Zhang	2020	179
7	Predicting drug-target interactions using Lasso with random forest based on evolutionary information and chemical structure Genomics ·Shi Han, Simin Liu, Junqi Chen, Xuan Li, Qin Ma, Bin Yu	2018	178
8	Integrative Methods and Practical Challenges for Single-Cell Multi-omics Trends in biotechnology ·Anjun Ma, Adam McDermaid, Jennifer Xu, Yuzhou Chang, Qin Ma	2020	174
9	Clustering and classification methods for single-cell RNA-sequencing data Briefings in Bioinformatics ·Ren Qi, Anjun Ma, Qin Ma, Quan Zou	2019	143
10	SubMito-XGBoost: predicting protein submitochondrial localization by fusing multiple feature information and eXtreme gradient boosting Bioinformatics ·Bin Yu, Wenying Qiu, Cheng Chen, Anjun Ma, Jing Jiang, Hongyan Zhou, Qin Ma	2019	137
11	Androgen conspires with the CD8 ⁺ T cell exhaustion program and contributes to sex bias in cancer Science Immunology ·Hyunwoo Kwon, Johanna M. Schafer, No‐Joon Song, Satoshi Kaneko, (unknown), Tong Xiao, Anjun Ma, Carter Allen, Komal Das, Lei Zhou, Brian Riesenberg, Yuzhou Chang, Payton Weltge, Maria Velegraki, David Y. Oh, Lawrence Fong, Qin Ma, Debasish Sundi, Dongjun Chung, Xue Li, Zihai Li	2022	137
12	A graph neural network model to estimate cell-wise metabolic flux using single-cell RNA-seq data Genome Research ·Norah Alghamdi, Wennan Chang, Pengtao Dang, Xiaoyu Lu, Changlin Wan, Silpa Gampala, Zhi Huang, Jiashi Wang, Qin Ma, Yong Zang, Melissa L. Fishel, Sha Cao, Chi Zhang	2021	135
13	Long-term high-P fertilizer input decreased the total bacterial diversity but not phoD-harboring bacteria in wheat rhizosphere soil with available-P deficiency Soil Biology and Biochemistry ·Jinshan Liu, Qin Ma, Xiaoli Hui, Jinyi Ran, Qingxia Ma, Xingshu Wang, Zhaohui Wang	2020	135
14	Protein–protein interaction sites prediction by ensemble random forests with synthetic minority oversampling technique Bioinformatics ·Xiaoying Wang, Bin Yu, Anjun Ma, Cheng Chen, Bingqiang Liu, Qin Ma	2018	134
15	Transforming growth factor (TGF)-β1-induced miR-133a inhibits myofibroblast differentiation and pulmonary fibrosis Cell Death and Disease ·Peng Wei, Yan Xie, Peter W. Abel, Yapei Huang, Qin Ma, Linghai Li, Junfeng Hao, Dennis W. Wolff, Taotao Wei, Yaping Tu	2019	131
16	DOOR 2.0: presenting operons and their functions through dynamic and integrated views Nucleic Acids Research ·Xizeng Mao, Qin Ma, Chuan‐Min Zhou, Xin Chen, Hanyuan Zhang, Jincai Yang, Fenglou Mao, Lai Wei, Ying Xu	2013	128
17	Loss of 5-hydroxymethylcytosine is linked to gene body hypermethylation in kidney cancer Cell Research ·Ke Chen, Jing Zhang, Zhongqiang Guo, Qin Ma, Zhengzheng Xu, Yuanyuan Zhou, Ziying Xu, Zhongwu Li, Yiqiang Liu, Xiongjun Ye, Xuesong Li, Bi‐Feng Yuan, Yuwen Ke, Chuan He, Liqun Zhou, Jiang Liu, Weimin Ci	2015	128
18	A shared disease-associated oligodendrocyte signature among multiple CNS pathologies Nature Neuroscience ·Mor Kenigsbuch, Pierre Bost, Shahar Halevi, Yuzhou Chang, Shuo Chen, Qin Ma, Renana Hajbi, Benno Schwikowski, Bernd Bodenmiller, Hongjun Fu, Michal Schwartz, Ido Amit	2022	123
19	Deep transfer learning of cancer drug responses by integrating bulk and single-cell RNA-seq data Nature Communications ·Junyi Chen, Xiaoying Wang, Anjun Ma, Qi‐En Wang, Bingqiang Liu, Lang Li, Dong Xu, Qin Ma	2022	111
20	LncFinder: an integrated platform for long non-coding RNA identification utilizing sequence intrinsic composition, structural information and physicochemical property Briefings in Bioinformatics ·Siyu Han, Yanchun Liang, Qin Ma, Yangyi Xu, Yu Zhang, Wei Du, Cankun Wang, Ying Li	2018	106

About Qin Ma

Qin Ma is a scholar working on Molecular Biology, Plant Science, Cancer Research, Genetics and Ecology, having authored 382 papers that have together received 9.0k indexed citations. Recurring topics across this work include Single-cell and spatial transcriptomics (43 papers), Genomics and Phylogenetic Studies (36 papers), RNA and protein synthesis mechanisms (31 papers), Synthesis and bioactivity of alkaloids (27 papers), Gene expression and cancer classification (24 papers), Machine Learning in Bioinformatics (24 papers), Bioinformatics and Genomic Networks (23 papers) and Cancer-related molecular mechanisms research (14 papers). The work is most often cited by research in Molecular Biology (5.0k citations), Cancer Research (759 citations), Biophysics (240 citations), Neurology (283 citations) and Computational Theory and Mathematics (481 citations). Qin Ma has collaborated with scholars based in China, United States and Israel. Frequent co-authors include Anjun Ma, Bin Yu, Bingqiang Liu, Adam McDermaid, Cankun Wang, Dong Xu, Yuzhou Chang, Ying Xu, Cheng Chen and Qingmei Zhang. Their work appears in journals such as Briefings in Bioinformatics, Bioinformatics, Nature Communications, Nucleic Acids Research and European Journal of Medicinal Chemistry.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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