Ge Ma

3.6k citations
55 papers · 2.7k · 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

    • Wnt/β-catenin signaling in development and cancer 4
    • Immune cells in cancer 9
    • Immune Cell Function and Interaction 6
    • Immunotherapy and Immune Responses 5
    • Immune Response and Inflammation 3

Ge Ma

53 papers receiving 2.7k citations

Peers

Ge Ma
Comparison fields: 5 of 109
  • Immunology 1.3k
  • Oncology 819
  • Cancer Research 410
  • Virology 97
  • Molecular Biology 787
Replace Evemie Schutyser with:
Evemie Schutyser Belgium
Hidefumi Kojima Japan
Matthew E. Pipkin United States
Vanja Sisirak France
Hilke Brühl Germany
Jaime Llodrá United States
Alexandre Iannello Canada
Youjin Lee United States
Jianxun Song United States
Erietta Stelekati United States
Ge Ma relative to Evemie Schutyser Belgium Evemie Schutyser's profile →
Citations per field
00.5×1.5×2.5×
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-authors

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

Showing the 20 most-cited of 55 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2009454
2 2009392
3 2004186
4 2010151
5 2012139
6 2011138
7 201594
8 201789
9 200677
10 202168
11 201365
12 200864
13 201764
14 202061
15 200355
16 202049
17 201939
18 201938
19 201938
20 202032

About Ge Ma

Ge Ma is a scholar working on Molecular Biology, Immunology, Oncology, Cancer Research and Surgery, having authored 55 papers that have together received 2.7k indexed citations. Recurring topics across this work include Cancer Cells and Metastasis (10 papers), Immune cells in cancer (9 papers), Immune Cell Function and Interaction (6 papers), Immunotherapy and Immune Responses (5 papers), Wnt/β-catenin signaling in development and cancer (4 papers), Cancer-related molecular mechanisms research (4 papers), Cancer Genomics and Diagnostics (4 papers) and Immune Response and Inflammation (3 papers). The work is most often cited by research in Immunology (1.3k citations), Oncology (819 citations), Cancer Research (410 citations), Virology (97 citations) and Molecular Biology (787 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, Myron Schwartz, Max W. Sung and George Wang. Their work appears in journals such as Cancer Research, The Journal of Immunology, Oncotarget, International Journal of Hyperthermia 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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