Fei Tu
Impact in
- Cancer Research top 5%
- Cancer, Hypoxia, and Metabolism
- MicroRNA in disease regulation
- Immunology top 10%
- Immune cells in cancer
Papers in
-
- Heat shock proteins research 4
- Immunology 12
- Immune cells in cancer 3
- Biomarkers in Disease Mechanisms 2
- interferon and immune responses 2
- Co-authors
- Chuanfu Li (13 shared papers)David L. Williams (10 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)Parkash S. Gill (3 shared papers)
- Journals
- Frontiers in Immunology (3 papers)eLife (2 papers)Journal of Cellular and Molecular Medicine (2 papers)Shock (2 papers)Cell Death and Disease (2 papers)
- Partner nations
- ChinaUnited StatesAustralia
In The Last Decade
Fei Tu
34 papers receiving 1.5k citations
Fei Tu's Hit Papers
Peers
Comparison fields: 5 of 104
- Cancer Research 329
- Immunology 323
- Molecular Biology 721
- Critical Care and Intensive Care Medicine 40
- Clinical Biochemistry 58
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 40 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 | 552 |
| 2 | 2020 | 207 | |
| 3 | 2017 | 145 | |
| 4 | 2017 | 131 | |
| 5 | 2016 | 56 | |
| 6 | 2020 | 48 | |
| 7 | 2018 | 47 | |
| 8 | 2014 | 40 | |
| 9 | 2020 | 38 | |
| 10 | 2020 | 36 | |
| 11 | 2015 | 35 | |
| 12 | 2014 | 29 | |
| 13 | 2020 | 27 | |
| 14 | 2021 | 24 | |
| 15 | 2016 | 24 | |
| 16 | 2022 | 16 | |
| 17 | 2022 | 13 | |
| 18 | 2023 | 12 | |
| 19 | 2023 | 11 | |
| 20 | 2025 | 10 |
About Fei Tu
Fei Tu is a scholar working on Molecular Biology, Immunology, Epidemiology, Cancer Research and Cell Biology, having authored 40 papers that have together received 1.5k indexed citations. Recurring topics across this work include Cancer-related molecular mechanisms research (4 papers), Heat shock proteins research (4 papers), MicroRNA in disease regulation (4 papers), Immune cells in cancer (3 papers), Sepsis Diagnosis and Treatment (3 papers), Biomarkers in Disease Mechanisms (2 papers), Vibrio bacteria research studies (2 papers) and interferon and immune responses (2 papers). The work is most often cited by research in Cancer Research (329 citations), Immunology (323 citations), Molecular Biology (721 citations), Critical Care and Intensive Care Medicine (40 citations) and Clinical Biochemistry (58 citations). Fei Tu has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Chuanfu Li, David L. Williams, Tuanzhu Ha, Min Fan, Kun Yang, Xiaohui Wang, Yana Wang, Parkash S. Gill, Jingjing Xu and Li Liu. Their work appears in journals such as Frontiers in Immunology, eLife, Journal of Cellular and Molecular Medicine, Shock and Cell Death and Disease.
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.