Wanshan Ma

683 citations
34 papers · 452 · h-index 12

Impact in

Papers in

    • RNA modifications and cancer 6
    • Epigenetics and DNA Methylation 5
    • Advanced biosensing and bioanalysis techniques 4
    • Histone Deacetylase Inhibitors Research 3
    • Peroxisome Proliferator-Activated Receptors 3
    • Cancer-related molecular mechanisms research 5

Wanshan Ma

33 papers receiving 445 citations

Peers

Wanshan Ma
Comparison fields: 5 of 84
  • Molecular Medicine 48
  • Cancer Research 69
  • Endocrinology 23
  • Electrochemistry 22
  • Molecular Biology 246
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Lin Tan China
Wenxuan Guo China
Yuhan Li China
Chiao‐Hsi Chiang Taiwan
Chia-Wen Huang Taiwan
Roghayyeh Vakili‐Ghartavol Iran
Yoshiko Uesugi Japan
Yuexi Wang China
Emanuela Gentile United States
Mingfang Wang China
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Citations per field
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Citations per year

Countries citing papers authored by Wanshan Ma

Since Specialization
Citations

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

Fields of papers citing papers by Wanshan Ma

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 34 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201280
2 201957
3 201028
4 201725
5 202125
6 201623
7 202021
8 202118
9 201614
10 201414
11 201513
12 202313
13 201811
14 202211
15 202110
16 20149
17 20109
18 20229
19 20218
20 20238

About Wanshan Ma

Wanshan Ma is a scholar working on Molecular Biology, Cancer Research, Physiology, Pulmonary and Respiratory Medicine and Molecular Medicine, having authored 34 papers that have together received 452 indexed citations. Recurring topics across this work include RNA modifications and cancer (6 papers), Epigenetics and DNA Methylation (5 papers), Cancer-related molecular mechanisms research (5 papers), Advanced biosensing and bioanalysis techniques (4 papers), Ferroptosis and cancer prognosis (4 papers), Antibiotic Resistance in Bacteria (4 papers), Histone Deacetylase Inhibitors Research (3 papers) and Peroxisome Proliferator-Activated Receptors (3 papers). The work is most often cited by research in Molecular Medicine (48 citations), Cancer Research (69 citations), Endocrinology (23 citations), Electrochemistry (22 citations) and Molecular Biology (246 citations). Wanshan Ma has collaborated with scholars based in China, United States and Canada. Frequent co-authors include Sumei Lu, Hong Wang, Linlin Cao, Yu Cai, Yunshan Wang, Pingping Zhao, Xia Zhao, Rui Ren, Qing Liu and Yueyun Li. Their work appears in journals such as Lipids in Health and Disease, Nutrition & Metabolism, Frontiers in Bioengineering and Biotechnology, Scientific Reports and Infection and Drug Resistance.

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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