Bin Ma

1.8k citations
57 papers · 1.4k · h-index 21

Impact in

  • Oncology top 5%
    • Colorectal Cancer Surgical Treatments
    • Inflammatory Biomarkers in Disease Prognosis
    • Colorectal Cancer Screening and Detection
    • Cancer-related molecular mechanisms research

Papers in

    • Colorectal Cancer Surgical Treatments 10
    • Colorectal Cancer Screening and Detection 7
    • Cancer Immunotherapy and Biomarkers 2
    • Inflammatory Biomarkers in Disease Prognosis 2
    • Colorectal Cancer Treatments and Studies 2
    • Cancer-related molecular mechanisms research 9

Bin Ma

52 papers receiving 1.4k citations

Peers

Bin Ma
Comparison fields: 5 of 69
  • Oncology 618
  • Cancer Research 190
  • Gastroenterology 52
  • Pulmonary and Respiratory Medicine 218
  • Surgery 234
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Bin Ma relative to Tetsushi Ogawa Japan Tetsushi Ogawa's profile →
Citations per field
00.5×2×3×4.2×
Tetsushi Ogawa · 1×
Citations per year

Countries citing papers authored by Bin Ma

Since Specialization
Citations

This map shows the geographic impact of 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 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 Bin Ma more than expected).

Fields of papers citing papers by Bin Ma

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside 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 Bin Ma Line = papers co-authored together 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 57 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2016214
2 2016143
3 201797
4 201684
5 200966
6 201566
7 202158
8 201556
9 201652
10 201949
11 201831
12 201931
13 201730
14 202030
15 201729
16 202126
17 201624
18 201724
19 201824
20 201823

About Bin Ma

Bin Ma is a scholar working on Oncology, Cancer Research, Gastroenterology, Pulmonary and Respiratory Medicine and Surgery, having authored 57 papers that have together received 1.4k indexed citations. Recurring topics across this work include Colorectal Cancer Surgical Treatments (10 papers), Cancer-related molecular mechanisms research (9 papers), Colorectal Cancer Screening and Detection (7 papers), Gastric Cancer Management and Outcomes (5 papers), Gastrointestinal Bleeding Diagnosis and Treatment (2 papers), Cancer Immunotherapy and Biomarkers (2 papers), Inflammatory Biomarkers in Disease Prognosis (2 papers) and Colorectal Cancer Treatments and Studies (2 papers). The work is most often cited by research in Oncology (618 citations), Cancer Research (190 citations), Gastroenterology (52 citations), Pulmonary and Respiratory Medicine (218 citations) and Surgery (234 citations). Bin Ma has collaborated with scholars based in China and Australia. Frequent co-authors include Yongxi Song, Zhenning Wang, Jingxu Sun, Peng Gao, Yuchong Yang, Junhua Zhao, Xuanzhang Huang, Xiaowan Chen, Shulei Gong and Jia Zhao. Their work appears in journals such as Gastrointestinal Endoscopy, Surgical Endoscopy, Frontiers in Oncology, BMC Cancer and European Journal of Surgical Oncology.

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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