Degui Geng
Impact in
- Immunology top 10%
- Immune Cell Function and Interaction
- Immunotherapy and Immune Responses
- Immune Response and Inflammation
- T-cell and B-cell Immunology
- Oncology top 10%
- CAR-T cell therapy research
Papers in
- Immunology 12
- Immunotherapy and Immune Responses 7
- Immune Cell Function and Interaction 7
- T-cell and B-cell Immunology 4
- Immune Response and Inflammation 4
- Oncology 6
- Cancer Immunotherapy and Biomarkers 5
- CAR-T cell therapy research 2
- Co-authors
- Eduardo Dávila (10 shared papers)Ratika Srivastava (4 shared papers)Zhaoyang Li (2 shared papers)Navneeta Bansal (2 shared papers)Koji Tamada (2 shared papers)Liqin Zheng (5 shared papers)Yukimi Sakoda (2 shared papers)Cruz Velasco‐Gonzalez (5 shared papers)
- Journals
- Cancer Research (3 papers)Blood (2 papers)The Journal of Immunology (2 papers)Clinical Cancer Research (1 paper)The FASEB Journal (1 paper)
- Partner nations
- United StatesJapanAustralia
In The Last Decade
Degui Geng
14 papers receiving 556 citations
Peers
Comparison fields: 5 of 60
- Immunology 303
- Oncology 299
- Cancer Research 44
- Genetics 78
- Biomedical Engineering 124
Countries citing papers authored by Degui Geng
This map shows the geographic impact of Degui Geng'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 Degui Geng with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Degui Geng more than expected).
Fields of papers citing papers by Degui Geng
This network shows the impact of papers produced by Degui Geng. 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 Degui Geng. The network helps show where Degui Geng may publish in the future.
Co-authors
The 25 scholars most cited alongside Degui Geng, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2012 | 217 | |
| 2 | 2010 | 72 | |
| 3 | 2012 | 67 | |
| 4 | 2008 | 66 | |
| 5 | 2011 | 43 | |
| 6 | 2010 | 37 | |
| 7 | 2015 | 30 | |
| 8 | 2020 | 10 | |
| 9 | 2006 | 9 | |
| 10 | [Effects of centipede extracts on normal mouse and S180, H22 bearing mouse]. | 2010 | 8 |
| 11 | 2024 | 5 | |
| 12 | 2010 | 3 | |
| 13 | 2023 | 1 | |
| 14 | 2017 | 1 |
About Degui Geng
Degui Geng is a scholar working on Immunology, Oncology, Molecular Biology, Epidemiology and Immunology and Allergy, having authored 14 papers that have together received 569 indexed citations. Recurring topics across this work include Immunotherapy and Immune Responses (7 papers), Immune Cell Function and Interaction (7 papers), Cancer Immunotherapy and Biomarkers (5 papers), T-cell and B-cell Immunology (4 papers), Immune Response and Inflammation (4 papers), CAR-T cell therapy research (2 papers), Cell Adhesion Molecules Research (1 paper) and Cytomegalovirus and herpesvirus research (1 paper). The work is most often cited by research in Immunology (303 citations), Oncology (299 citations), Cancer Research (44 citations), Genetics (78 citations) and Biomedical Engineering (124 citations). Degui Geng has collaborated with scholars based in United States, Japan and Australia. Frequent co-authors include Eduardo Dávila, Ratika Srivastava, Zhaoyang Li, Navneeta Bansal, Koji Tamada, Liqin Zheng, Yukimi Sakoda, Cruz Velasco‐Gonzalez, Yingjia Liu and Luis Sánchez-Pérez. Their work appears in journals such as Cancer Research, Blood, The Journal of Immunology, Clinical Cancer Research and The FASEB Journal.
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.