Yan Ge
Impact in
- Immunology top 5%
- Immunotherapy and Immune Responses
- T-cell and B-cell Immunology
- Parasitology top 5%
- Vector-borne infectious diseases
Papers in
- Immunology 29
- T-cell and B-cell Immunology 12
- Immunotherapy and Immune Responses 11
- Oncology 19
- Cancer Immunotherapy and Biomarkers 9
- Co-authors
- Xueguang Zhang (29 shared papers)Songguang Ju (14 shared papers)Yasuko Rikihisa (2 shared papers)Fengju Song (2 shared papers)Baoshan Ma (2 shared papers)Songwen Ju (10 shared papers)Haowen Yan (1 shared paper)Lin Fang (2 shared papers)
- Journals
- Scientific Reports (4 papers)Cell Cycle (3 papers)Advanced Science (2 papers)The Journal of Experimental Medicine (2 papers)Cellular Immunology (2 papers)
- Partner nations
- ChinaUnited StatesGermany
In The Last Decade
Yan Ge
128 papers receiving 3k citations
Peers
Comparison fields: 5 of 130
- Immunology 499
- Parasitology 144
- Oncology 467
- Cancer Research 259
- Cell Biology 148
Countries citing papers authored by Yan Ge
This map shows the geographic impact of Yan Ge'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 Yan Ge with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yan Ge more than expected).
Fields of papers citing papers by Yan Ge
This network shows the impact of papers produced by Yan Ge. 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 Yan Ge. The network helps show where Yan Ge may publish in the future.
Co-authors
The 25 scholars most cited alongside Yan Ge, 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 134 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 175 | |
| 2 | 2018 | 153 | |
| 3 | 2018 | 138 | |
| 4 | 2017 | 118 | |
| 5 | 2022 | 115 | |
| 6 | 2021 | 91 | |
| 7 | 2013 | 78 | |
| 8 | 2019 | 74 | |
| 9 | 2018 | 73 | |
| 10 | 2004 | 72 | |
| 11 | 2020 | 68 | |
| 12 | 2006 | 64 | |
| 13 | 2014 | 59 | |
| 14 | 2016 | 58 | |
| 15 | 2019 | 56 | |
| 16 | 2019 | 56 | |
| 17 | 2021 | 55 | |
| 18 | 2019 | 54 | |
| 19 | 2020 | 53 | |
| 20 | 2020 | 48 |
About Yan Ge
Yan Ge is a scholar working on Immunology, Oncology, Molecular Biology, Radiology, Nuclear Medicine and Imaging and Cancer Research, having authored 134 papers that have together received 3k indexed citations. Recurring topics across this work include T-cell and B-cell Immunology (12 papers), Immunotherapy and Immune Responses (11 papers), Monoclonal and Polyclonal Antibodies Research (10 papers), Cancer Immunotherapy and Biomarkers (9 papers), Virus-based gene therapy research (8 papers), RNA Interference and Gene Delivery (6 papers), Cancer-related molecular mechanisms research (3 papers) and Tuberculosis Research and Epidemiology (3 papers). The work is most often cited by research in Immunology (499 citations), Parasitology (144 citations), Oncology (467 citations), Cancer Research (259 citations) and Cell Biology (148 citations). Yan Ge has collaborated with scholars based in China, United States and Germany. Frequent co-authors include Xueguang Zhang, Songguang Ju, Yasuko Rikihisa, Fengju Song, Baoshan Ma, Songwen Ju, Haowen Yan, Lin Fang, Wen Zhang and Qian Cheng. Their work appears in journals such as Scientific Reports, Cell Cycle, Advanced Science, The Journal of Experimental Medicine and Cellular Immunology.
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.