Yan‐Bin Ma

624 citations
32 papers · 484 · h-index 12

Impact in

    • MicroRNA in disease regulation
    • Cancer-related molecular mechanisms research
    • Glioma Diagnosis and Treatment

Papers in

    • Glioma Diagnosis and Treatment 7
    • Cancer-related molecular mechanisms research 3
    • MicroRNA in disease regulation 3

Yan‐Bin Ma

32 papers receiving 477 citations

Peers

Yan‐Bin Ma
Comparison fields: 5 of 92
  • Cancer Research 99
  • Genetics 45
  • Molecular Biology 222
  • Biomaterials 41
  • Oncology 53
Replace Gwan-Shik Kim with:
Gwan-Shik Kim South Korea
Yang Ying China
Ling Zhou China
Iljin Kim South Korea
Sheng‐Hua Chu China
Xiangnan Zhao China
Dajin Zhang China
Xiaoqin He China
Hossen Mohammad Jamil Bangladesh
Yan‐Bin Ma relative to Gwan-Shik Kim South Korea Gwan-Shik Kim's profile →
Citations per field
00.5×1.5×2×
Gwan-Shik Kim · 1×
Citations per year

Countries citing papers authored by Yan‐Bin Ma

Since Specialization
Citations

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

Fields of papers citing papers by Yan‐Bin Ma

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Yan‐Bin 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 Yan‐Bin Ma Line = papers co-authored together Yan‐Bin Ma links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 32 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201267
2 201247
3 201136
4 201133
5 202231
6 200831
7 201630
8 200930
9 201219
10 201317
11 201815
12 201814
13 201912
14 201112
15 201312
16 202011
17 200711
18 201310
19 20208
20 20198

About Yan‐Bin Ma

Yan‐Bin Ma is a scholar working on Genetics, Cancer Research, Molecular Biology, Hepatology and Management, Monitoring, Policy and Law, having authored 32 papers that have together received 484 indexed citations. Recurring topics across this work include Glioma Diagnosis and Treatment (7 papers), RNA Interference and Gene Delivery (4 papers), Cancer-related molecular mechanisms research (3 papers), Epigenetics and DNA Methylation (3 papers), MicroRNA in disease regulation (3 papers), Meningioma and schwannoma management (2 papers), Ferroptosis and cancer prognosis (2 papers) and Genomics and Chromatin Dynamics (2 papers). The work is most often cited by research in Cancer Research (99 citations), Genetics (45 citations), Molecular Biology (222 citations), Biomaterials (41 citations) and Oncology (53 citations). Yan‐Bin Ma has collaborated with scholars based in China. Frequent co-authors include Sheng‐Hua Chu, Dong‐Fu Feng, Pucha Jiang, Zhiqiang Li, Zhiqiang Li, Biao Yang, Haitao Zhang, Jianhua Qiu, Xinxin Fu and Shuang Liang. Their work appears in journals such as Journal of Translational Medicine, Molecular Biology Reports, International Journal of Pavement Engineering, Journal of Cellular and Molecular Medicine and Journal of Surgical Research.

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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