Ge Ma
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
- Immunology 16
- Immune cells in cancer 9
- Immune Cell Function and Interaction 6
- Immunotherapy and Immune Responses 5
- Immune Response and Inflammation 3
- Co-authors
- Shu‐Hsia Chen (11 shared papers)Ping‐Ying Pan (8 shared papers)Celia M. Divino (6 shared papers)Junko Ozao‐Choy (2 shared papers)Bingjiao Yin (2 shared papers)Marcia Meseck (3 shared papers)Myron Schwartz (2 shared papers)Max W. Sung (2 shared papers)
- Journals
- The Journal of Immunology (3 papers)Cancer Research (3 papers)International Journal of Hyperthermia (2 papers)Oncotarget (2 papers)Cancer Biomarkers (2 papers)
- Partner nations
- ChinaUnited StatesTaiwan
In The Last Decade
Ge Ma
53 papers receiving 2.6k citations
Peers
Comparison fields: 5 of 107
- Immunology 1.3k
- Oncology 786
- Cancer Research 405
- Virology 94
- Molecular Biology 764
Countries citing papers authored by Ge Ma
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
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.
All Works
Showing the 20 most-cited of 55 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2009 | 432 | |
| 2 | 2009 | 372 | |
| 3 | 2004 | 184 | |
| 4 | 2010 | 148 | |
| 5 | 2012 | 136 | |
| 6 | 2011 | 136 | |
| 7 | 2015 | 91 | |
| 8 | 2017 | 87 | |
| 9 | 2006 | 72 | |
| 10 | 2021 | 68 | |
| 11 | 2013 | 64 | |
| 12 | 2017 | 62 | |
| 13 | 2008 | 60 | |
| 14 | 2020 | 59 | |
| 15 | 2003 | 54 | |
| 16 | 2020 | 49 | |
| 17 | 2019 | 39 | |
| 18 | 2019 | 38 | |
| 19 | 2019 | 38 | |
| 20 | 2020 | 32 |
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 2.6k 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 (786 citations), Cancer Research (405 citations), Virology (94 citations) and Molecular Biology (764 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, Myron Schwartz, Max W. Sung, Johnny Kao 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.