Ge Ma

3.5k citations
53 papers · 2.6k indexed · h-index 24

Impact in

  • Immunology top 2%
    • Immune cells in cancer
    • Immune Cell Function and Interaction
    • Immunotherapy and Immune Responses
    • Immune Response and Inflammation
  • Oncology top 5%
    • Cancer Immunotherapy and Biomarkers
    • CAR-T cell therapy research
    • Cancer Cells and Metastasis

Papers in

    • Cancer Genomics and Diagnostics 7
    • Cancer-related molecular mechanisms research 4
    • Immune cells in cancer 9
    • Immunotherapy and Immune Responses 7
    • Immune Cell Function and Interaction 6

Ge Ma

53 papers receiving 2.6k citations

Peers

Ge Ma
Comparison fields: 5 of 111
  • Immunology 1.4k
  • Oncology 902
  • Cancer Research 480
  • Virology 100
  • Molecular Biology 837
Replace Evemie Schutyser with:
Evemie Schutyser Belgium
Jiang-Hong Gong Canada
Matthew E. Pipkin United States
Jaime Llodrá United States
Vanja Sisirak France
Anna‐Marie Fairhurst Singapore
Hilke Brühl Germany
Jean‐Pierre Lenaerts Belgium
Youjin Lee United States
Md. Zahidunnabi Dewan Japan
Ge Ma relative to Evemie Schutyser Belgium Evemie Schutyser's profile →
Citations per field
00.5×1.5×2.4×
Evemie Schutyser · 1×
Citations per year

Countries citing papers authored by Ge Ma

Since Specialization
Citations

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

Fields of papers citing papers by Ge Ma

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20232
2 20221
3 202218
4 20213
5 202026
6 202048
7 20205
8 201938
9 20184
10 20169
11 201618
12 201590
13 201526
14 201421
15 201364
16 20127
17 2011134
18 20118
19 200860
20
[Cytotoxic T cell].
20029

About Ge Ma

Ge Ma is a scholar working on Cancer Research, Immunology, Oncology, Immunology and Allergy and Molecular Biology, having authored 53 papers that have together received 2.6k indexed citations. Recurring topics across this work include Cancer Cells and Metastasis (13 papers), Immune cells in cancer (9 papers), Immunotherapy and Immune Responses (7 papers), Cancer Genomics and Diagnostics (7 papers), Immune Cell Function and Interaction (6 papers), Cancer-related molecular mechanisms research (4 papers), Cancer Immunotherapy and Biomarkers (4 papers) and Wnt/β-catenin signaling in development and cancer (4 papers). The work is most often cited by research in Immunology (1.4k citations), Oncology (902 citations), Cancer Research (480 citations), Virology (100 citations) and Molecular Biology (837 citations). Ge Ma has collaborated with scholars based in China, United States and Taiwan. Frequent co-authors include Shu‐Hsia Chen, Ping‐Ying Pan, Celia M. Divino, Junko Ozao‐Choy, Bingjiao Yin, Marcia Meseck, Johnny Kao, Max W. Sung, Myron Schwartz and George Wang. Their work appears in journals such as The Journal of Immunology, Cancer Research, International Journal of Hyperthermia, Oncotarget and Cancer Biomarkers.

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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2026