Fei Tu
Impact in
- Cancer Research top 5%
- Cancer, Hypoxia, and Metabolism
- Epidemiology top 5%
- Sepsis Diagnosis and Treatment
Papers in
- Epidemiology 11
- Sepsis Diagnosis and Treatment 9
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- Inflammation biomarkers and pathways 2
- Co-authors
- Chuanfu Li (15 shared papers)David Williams (12 shared papers)Tuanzhu Ha (8 shared papers)Min Fan (7 shared papers)Kun Yang (6 shared papers)Xiaohui Wang (2 shared papers)Yana Wang (4 shared papers)Li Liu (1 shared paper)
- Journals
- Frontiers in Immunology (3 papers)Journal of Cellular and Molecular Medicine (2 papers)Cell Death and Disease (2 papers)Transboundary and Emerging Diseases (2 papers)Shock (2 papers)
- Partner nations
- United StatesChina
In The Last Decade
Fei Tu
20 papers receiving 1.6k citations
Fei Tu's Hit Papers
Peers
Comparison fields: 5 of 75
- Cancer Research 314
- Epidemiology 369
- Immunology 216
- Molecular Biology 453
- Nephrology 61
Countries citing papers authored by Fei Tu
This map shows the geographic impact of Fei Tu'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 Fei Tu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Fei Tu more than expected).
Fields of papers citing papers by Fei Tu
This network shows the impact of papers produced by Fei Tu. 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 Fei Tu. The network helps show where Fei Tu may publish in the future.
Co-authors
The 25 scholars most cited alongside Fei Tu, 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 21 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Lactate promotes macrophage HMGB1 lactylation, acetylation, and exosomal release in polymicrobial sepsis Hit paper breakdown → | 2021 | 632 |
| 2 | 2020 | 234 | |
| 3 | 2017 | 160 | |
| 4 | 2017 | 135 | |
| 5 | 2020 | 49 | |
| 6 | 2018 | 48 | |
| 7 | Distinct CD8+ T cell dynamics associate with response to neoadjuvant cancer immunotherapies Hit paper breakdown → | 2025 | 41 |
| 8 | 2020 | 39 | |
| 9 | 2020 | 39 | |
| 10 | 2015 | 34 | |
| 11 | 2020 | 31 | |
| 12 | 2014 | 29 | |
| 13 | 2021 | 25 | |
| 14 | 2016 | 24 | |
| 15 | 2022 | 16 | |
| 16 | 2022 | 14 | |
| 17 | 2025 | 14 | |
| 18 | 2023 | 13 | |
| 19 | 2025 | 3 | |
| 20 | 2025 | 1 |
About Fei Tu
Fei Tu is a scholar working on Epidemiology, Immunology, Animal Science and Zoology, Cell Biology and Endocrinology, having authored 21 papers that have together received 1.6k indexed citations. Recurring topics across this work include Sepsis Diagnosis and Treatment (9 papers), Heat shock proteins research (2 papers), Inflammasome and immune disorders (2 papers), Inflammation biomarkers and pathways (2 papers), Telomeres, Telomerase, and Senescence (2 papers), Animal Virus Infections Studies (2 papers), Biosensors and Analytical Detection (2 papers) and Hippo pathway signaling and YAP/TAZ (2 papers). The work is most often cited by research in Cancer Research (314 citations), Epidemiology (369 citations), Immunology (216 citations), Molecular Biology (453 citations) and Nephrology (61 citations). Fei Tu has collaborated with scholars based in United States and China. Frequent co-authors include Chuanfu Li, David Williams, Tuanzhu Ha, Min Fan, Kun Yang, Xiaohui Wang, Yana Wang, Li Liu, Jingjing Xu and Jingjing Xu. Their work appears in journals such as Frontiers in Immunology, Journal of Cellular and Molecular Medicine, Cell Death and Disease, Transboundary and Emerging Diseases and Shock.
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.