Yan Ge
Impact in
- Immunology top 5%
- Immunotherapy and Immune Responses
- Immune Cell Function and Interaction
- Oncology top 5%
- Cancer Immunotherapy and Biomarkers
- CAR-T cell therapy research
Papers in
-
- RNA Interference and Gene Delivery 10
- Immunology 44
- Immunotherapy and Immune Responses 27
- Immune Cell Function and Interaction 16
- T-cell and B-cell Immunology 14
- Co-authors
- Gavin Gong (5 shared papers)Songguang Ju (14 shared papers)Ximing Cai (5 shared papers)Yasuko Rikihisa (2 shared papers)Xueguang Zhang (15 shared papers)Baoshan Ma (2 shared papers)Fengju Song (2 shared papers)Charles Rougé (1 shared paper)
- Journals
- Scientific Reports (4 papers)Journal of Climate (3 papers)Cell Cycle (3 papers)Advanced Science (2 papers)Biomedicine & Pharmacotherapy (2 papers)
- Partner nations
- ChinaUnited StatesGermany
In The Last Decade
Yan Ge
155 papers receiving 3.3k citations
Peers
Comparison fields: 5 of 164
- Immunology 771
- Oncology 596
- Cancer Research 327
- Parasitology 139
- Molecular Biology 952
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 164 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 161 | |
| 2 | 2018 | 144 | |
| 3 | 2018 | 125 | |
| 4 | 2017 | 113 | |
| 5 | 2012 | 104 | |
| 6 | 2022 | 90 | |
| 7 | 2013 | 76 | |
| 8 | 2021 | 75 | |
| 9 | 2019 | 73 | |
| 10 | 2004 | 72 | |
| 11 | 2018 | 68 | |
| 12 | 2006 | 64 | |
| 13 | 2020 | 62 | |
| 14 | 2018 | 59 | |
| 15 | 2016 | 57 | |
| 16 | 2014 | 56 | |
| 17 | 2019 | 55 | |
| 18 | 2019 | 54 | |
| 19 | 2019 | 51 | |
| 20 | 2021 | 50 |
About Yan Ge
Yan Ge is a scholar working on Molecular Biology, Immunology, Oncology, Genetics and Global and Planetary Change, having authored 164 papers that have together received 3.3k indexed citations. Recurring topics across this work include Immunotherapy and Immune Responses (27 papers), Immune Cell Function and Interaction (16 papers), T-cell and B-cell Immunology (14 papers), Cancer Immunotherapy and Biomarkers (11 papers), RNA Interference and Gene Delivery (10 papers), Climate variability and models (9 papers), Virus-based gene therapy research (9 papers) and CAR-T cell therapy research (9 papers). The work is most often cited by research in Immunology (771 citations), Oncology (596 citations), Cancer Research (327 citations), Parasitology (139 citations) and Molecular Biology (952 citations). Yan Ge has collaborated with scholars based in China, United States and Germany. Frequent co-authors include Gavin Gong, Songguang Ju, Ximing Cai, Yasuko Rikihisa, Xueguang Zhang, Baoshan Ma, Fengju Song, Charles Rougé, Songwen Ju and Fanyu Meng. Their work appears in journals such as Scientific Reports, Journal of Climate, Cell Cycle, Advanced Science and Biomedicine & Pharmacotherapy.
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.