Xiaofei Gao
Impact in
- Endocrinology top 2%
- Escherichia coli research studies
- Immunology top 5%
- Immune Cell Function and Interaction
Papers in
-
- RNA modifications and cancer 6
- Immunology 18
- Immune Cell Function and Interaction 9
- T-cell and B-cell Immunology 6
- Co-authors
- Philip R. Hardwidge (11 shared papers)Woo‐Ping Ge (11 shared papers)Fengyi Wan (3 shared papers)Ming Zhao (11 shared papers)Michael J. Lenardo (2 shared papers)Xiaogang Wang (2 shared papers)Thanh H. Pham (4 shared papers)Haijing Wu (4 shared papers)
- Journals
- Nature Communications (5 papers)Frontiers in Immunology (4 papers)Journal of Biological Chemistry (3 papers)PLoS ONE (2 papers)Blood (2 papers)
- Partner nations
- ChinaUnited StatesUnited Kingdom
In The Last Decade
Xiaofei Gao
121 papers receiving 3.0k citations
Peers
Comparison fields: 5 of 149
- Endocrinology 255
- Immunology 510
- Biophysics 136
- Cancer Research 301
- Physiology 93
Countries citing papers authored by Xiaofei Gao
This map shows the geographic impact of Xiaofei Gao'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 Xiaofei Gao with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xiaofei Gao more than expected).
Fields of papers citing papers by Xiaofei Gao
This network shows the impact of papers produced by Xiaofei Gao. 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 Xiaofei Gao. The network helps show where Xiaofei Gao may publish in the future.
Co-authors
The 25 scholars most cited alongside Xiaofei Gao, 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 124 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 266 | |
| 2 | 2018 | 216 | |
| 3 | 2009 | 131 | |
| 4 | 2011 | 119 | |
| 5 | 2013 | 119 | |
| 6 | 2015 | 110 | |
| 7 | 2018 | 98 | |
| 8 | 2017 | 73 | |
| 9 | 2020 | 66 | |
| 10 | 2021 | 59 | |
| 11 | 2022 | 57 | |
| 12 | 2019 | 56 | |
| 13 | Iron-dependent epigenetic modulation promotes pathogenic T cell differentiation in lupus | 2022 | 55 |
| 14 | 2021 | 54 | |
| 15 | 2017 | 52 | |
| 16 | 2023 | 51 | |
| 17 | 2019 | 50 | |
| 18 | 2022 | 50 | |
| 19 | 2008 | 49 | |
| 20 | 2011 | 47 |
About Xiaofei Gao
Xiaofei Gao is a scholar working on Molecular Biology, Immunology, Oncology, Physiology and Epidemiology, having authored 124 papers that have together received 3.0k indexed citations. Recurring topics across this work include Immune Cell Function and Interaction (9 papers), CAR-T cell therapy research (7 papers), Neuroscience of respiration and sleep (6 papers), T-cell and B-cell Immunology (6 papers), RNA modifications and cancer (6 papers), Adenosine and Purinergic Signaling (6 papers), Aquatic Ecosystems and Phytoplankton Dynamics (5 papers) and Erythrocyte Function and Pathophysiology (5 papers). The work is most often cited by research in Endocrinology (255 citations), Immunology (510 citations), Biophysics (136 citations), Cancer Research (301 citations) and Physiology (93 citations). Xiaofei Gao has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Philip R. Hardwidge, Woo‐Ping Ge, Fengyi Wan, Ming Zhao, Michael J. Lenardo, Xiaogang Wang, Thanh H. Pham, Haijing Wu, Harvey F. Lodish and M. Inmaculada Barrasa. Their work appears in journals such as Nature Communications, Frontiers in Immunology, Journal of Biological Chemistry, PLoS ONE and Blood.
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.