Anjun Ma

4.2k citations

61 papers · 2.5k · 3 hit papers · h-index 27

Impact in

Biophysics top 2%
- Cell Image Analysis Techniques
Molecular Biology top 5%
- Single-cell and spatial transcriptomics
- Gene expression and cancer classification
- Machine Learning in Bioinformatics
- Bioinformatics and Genomic Networks
- Gene Regulatory Network Analysis
- RNA and protein synthesis mechanisms

Papers in

Molecular Biology 47
- Single-cell and spatial transcriptomics 23
- Bioinformatics and Genomic Networks 12
- Gene expression and cancer classification 10
- Gene Regulatory Network Analysis 9
- RNA and protein synthesis mechanisms 7
- Machine Learning in Bioinformatics 6
- Gut microbiota and health 5
Cancer Research 10
- Cancer-related molecular mechanisms research 6

Co-authors: Qin Ma (48 shared papers)Bingqiang Liu (22 shared papers)Yuzhou Chang (9 shared papers)Ren Qi (3 shared papers)Bin Yu (6 shared papers)Dong Xu (12 shared papers)Cankun Wang (17 shared papers)Juexin Wang (7 shared papers)
Journals: Nature Communications (9 papers)Bioinformatics (6 papers)Briefings in Bioinformatics (6 papers)Computational and Structural Biotechnology Journal (3 papers)Advanced Science (2 papers)
Partner nations: United States China Canada

In The Last Decade

Anjun Ma

58 papers receiving 2.5k citations

Anjun Ma's Hit Papers

align trajectories log scale

Single-cell biological network inference using a heterogeneous graph transformer 2023 · 107 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.

2023 Nature Communications
2022 Nature Communications
2021 Nature Communications

Peers

Countries citing papers authored by Anjun Ma

Since Specialization

Citations

This map shows the geographic impact of Anjun 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 Anjun Ma with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Anjun Ma more than expected).

Fields of papers citing papers by Anjun Ma

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Anjun 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 Anjun Ma. The network helps show where Anjun Ma may publish in the future.

Co-authors

The 25 scholars most cited alongside Anjun 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 Anjun Ma Line = papers co-authored together Anjun 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 61 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	280
2	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
3	Integrative Methods and Practical Challenges for Single-Cell Multi-omics Trends in biotechnology ·Anjun Ma, Adam McDermaid, Jennifer Xu, Yuzhou Chang, Qin Ma	2020	180
4	Clustering and classification methods for single-cell RNA-sequencing data Briefings in Bioinformatics ·Ren Qi, Anjun Ma, Qin Ma, Quan Zou	2019	149
5	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	144
6	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	138
7	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	135
8	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
9	Single-cell biological network inference using a heterogeneous graph transformer Nature Communications ·Anjun Ma, Xiaoying Wang, Jingxian Li, Cankun Wang, Tong Xiao, Yuntao Liu, Hao Cheng, Juexin Wang, Yang Li, Yuzhou Chang, Jinpu Li, Duolin Wang, Yuexu Jiang, Li Su, Gang Xin, Shaopeng Gu, Zihai Li, Bingqiang Liu, Dong Xu, Qin Ma Hit paper breakdown →	2023	107
10	Network analyses in microbiome based on high-throughput multi-omics data Briefings in Bioinformatics ·Zhaoqian Liu, Anjun Ma, Ewy A. Mathé, Marlena R. Merling, Qin Ma, Bingqiang Liu	2020	69
11	Prediction of protein–protein interactions based on elastic net and deep forest Expert Systems with Applications ·Bin Yu, Cheng Chen, Xiaolin Wang, Zhaomin Yu, Anjun Ma, Bingqiang Liu	2021	61
12	Explainable Deep Hypergraph Learning Modeling the Peptide Secondary Structure Prediction Advanced Science ·Yi Jiang, Ruheng Wang, Jiuxin Feng, Junru Jin, Sirui Liang, Zhongshen Li, Yingying Yu, Anjun Ma, Ran Su, Quan Zou, Qin Ma, Leyi Wei	2023	61
13	Inductive inference of gene regulatory network using supervised and semi-supervised graph neural networks Computational and Structural Biotechnology Journal ·Juexin Wang, Anjun Ma, Qin Ma, Dong Xu, Trupti Joshi	2020	57
14	A Review of Matched-pairs Feature Selection Methods for Gene Expression Data Analysis Computational and Structural Biotechnology Journal ·Sen Liang, Anjun Ma, Sen Yang, Yan Wang, Qin Ma	2018	54
15	scGMAI: a Gaussian mixture model for clustering single-cell RNA-Seq data based on deep autoencoder Briefings in Bioinformatics ·Bin Yu, Chen Chen, Ren Qi, Ruiqing Zheng, Patrick J Skillman-Lawrence, Xiaolin Wang, Anjun Ma, Haiming Gu	2020	54
16	It is time to apply biclustering: a comprehensive review of biclustering applications in biological and biomedical data Briefings in Bioinformatics ·Juan Xie, Anjun Ma, Anne Fennell, Qin Ma, Jing Zhao	2018	52
17	Prediction of regulatory motifs from human Chip-sequencing data using a deep learning framework Nucleic Acids Research ·Jinyu Yang, Anjun Ma, Adam D. Hoppe, Cankun Wang, Yang Li, Chi Zhang, Yan Wang, Bingqiang Liu, Qin Ma	2019	50
18	Single-Cell Techniques and Deep Learning in Predicting Drug Response Trends in Pharmacological Sciences ·Zhenyu Wu, Patrick J. Lawrence, Anjun Ma, Jian Zhu, Dong Xu, Qin Ma	2020	45
19	DNNAce: Prediction of prokaryote lysine acetylation sites through deep neural networks with multi-information fusion Chemometrics and Intelligent Laboratory Systems ·Bin Yu, Zhaomin Yu, Cheng Chen, Anjun Ma, Bingqiang Liu, Baoguang Tian, Qin Ma	2020	45
20	QUBIC2: a novel and robust biclustering algorithm for analyses and interpretation of large-scale RNA-Seq data Bioinformatics ·Juan Xie, Anjun Ma, Yu Zhang, Bingqiang Liu, Sha Cao, Cankun Wang, Jennifer Xu, Chi Zhang, Qin Ma	2019	41

About Anjun Ma

Anjun Ma is a scholar working on Molecular Biology, Cancer Research, Immunology, Oncology and Biophysics, having authored 61 papers that have together received 2.5k indexed citations. Recurring topics across this work include Single-cell and spatial transcriptomics (23 papers), Bioinformatics and Genomic Networks (12 papers), Gene expression and cancer classification (10 papers), Gene Regulatory Network Analysis (9 papers), RNA and protein synthesis mechanisms (7 papers), Machine Learning in Bioinformatics (6 papers), Cancer-related molecular mechanisms research (6 papers) and Gut microbiota and health (5 papers). The work is most often cited by research in Biophysics (179 citations), Molecular Biology (1.7k citations), Cancer Research (301 citations), Neurology (151 citations) and Immunology (198 citations). Anjun Ma has collaborated with scholars based in United States, China and Canada. Frequent co-authors include Qin Ma, Bingqiang Liu, Yuzhou Chang, Ren Qi, Bin Yu, Dong Xu, Cankun Wang, Juexin Wang, Xiaoying Wang and Quan Zou. Their work appears in journals such as Nature Communications, Bioinformatics, Briefings in Bioinformatics, Computational and Structural Biotechnology Journal and Advanced Science.

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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