Wen Ma

1.2k citations
56 papers · 793 · h-index 18

Impact in

Papers in

    • Pancreatic and Hepatic Oncology Research 6
    • Colorectal Cancer Treatments and Studies 5
    • Cancer Treatment and Pharmacology 4
    • HER2/EGFR in Cancer Research 4

Wen Ma

50 papers receiving 777 citations

Peers

Wen Ma
Comparison fields: 5 of 109
  • Biological Psychiatry 39
  • Complementary and alternative medicine 81
  • Oncology 228
  • Biomaterials 94
  • Cancer Research 103
Replace Chuan Wang with:
Chuan Wang China
Zhibing Wu China
Mohammad Sheibani Iran
Guoliang Xiong China
Ning Yao China
Hongxiang Gao China
Abdullah Al Shoyaib United States
Yu Feng China
Hyun Ji Kim South Korea
Bin Huang China
Wen Ma relative to Chuan Wang China Chuan Wang's profile →
Citations per field
00.5×3.2×
Chuan Wang · 1×
Citations per year

Countries citing papers authored by Wen Ma

Since Specialization
Citations

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

Fields of papers citing papers by Wen Ma

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 56 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201998
2 202085
3 201868
4 200850
5 202237
6 201635
7 201633
8 201232
9 201930
10 201030
11 201928
12 202226
13 202026
14 201625
15 201022
16 202221
17 201020
18 202120
19 201913
20 201111

About Wen Ma

Wen Ma is a scholar working on Oncology, Molecular Biology, Pulmonary and Respiratory Medicine, Cancer Research and Complementary and alternative medicine, having authored 56 papers that have together received 793 indexed citations. Recurring topics across this work include Cancer Genomics and Diagnostics (7 papers), Pancreatic and Hepatic Oncology Research (6 papers), Colorectal Cancer Treatments and Studies (5 papers), Acupuncture Treatment Research Studies (5 papers), Advanced Breast Cancer Therapies (5 papers), Cancer Treatment and Pharmacology (4 papers), HER2/EGFR in Cancer Research (4 papers) and Cancer Mechanisms and Therapy (4 papers). The work is most often cited by research in Biological Psychiatry (39 citations), Complementary and alternative medicine (81 citations), Oncology (228 citations), Biomaterials (94 citations) and Cancer Research (103 citations). Wen Ma has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Zhiqiang Yu, Yuanyuan Yang, Mengxue He, Aimin Li, Gaurav Goyal, Sri Harsha Tella, Anuhya Kommalapati, Amit Mahipal, Wei-Dong Shen and Bin Yu. Their work appears in journals such as Cancer Research, Journal of Clinical Oncology, Frontiers in Oncology, Cancer Science and International Journal of Surgery.

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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