Tianfu Wu
Impact in
- Immunology top 2%
- T-cell and B-cell Immunology
- Immune Cell Function and Interaction
- Atherosclerosis and Cardiovascular Diseases
- Immune Response and Inflammation
- Rheumatology top 0.5%
- Systemic Lupus Erythematosus Research
Papers in
- Rheumatology 38
- Systemic Lupus Erythematosus Research 36
- Nephrology 13
- Renal Diseases and Glomerulopathies 5
- Co-authors
- Chandra MohanChun XieChaim PuttermanZuan‐Tao LinJie HanRamesh SaxenaQuan‐Zhen LiLaurie S. Davis
- Journals
- PLoS ONE (6 papers)The Journal of Immunology (5 papers)Life Sciences (4 papers)Frontiers in Immunology (3 papers)Clinical & Experimental Immunology (3 papers)
- Partner nations
- United StatesChinaSouth Korea
In The Last Decade
Tianfu Wu
95 papers receiving 3.4k citations
Peers
Comparison fields: 5 of 135
- Immunology 1.5k
- Rheumatology 1.0k
- Nephrology 342
- Radiology, Nuclear Medicine and Imaging 420
- Aquatic Science 121
Countries citing papers authored by Tianfu Wu
This map shows the geographic impact of Tianfu Wu'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 Tianfu Wu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tianfu Wu more than expected).
Fields of papers citing papers by Tianfu Wu
This network shows the impact of papers produced by Tianfu Wu. 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 Tianfu Wu. The network helps show where Tianfu Wu may publish in the future.
Co-authors
The 25 scholars most cited alongside Tianfu Wu, 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 | 2025 | 1 | |
| 2 | 2024 | 1 | |
| 3 | 2024 | 14 | |
| 4 | 2024 | 0 | |
| 5 | 2023 | 8 | |
| 6 | 2022 | 12 | |
| 7 | 2021 | 16 | |
| 8 | 2016 | 10 | |
| 9 | 2015 | 91 | |
| 10 | 2015 | 17 | |
| 11 | 2015 | 12 | |
| 12 | 2012 | 54 | |
| 13 | 2012 | 46 | |
| 14 | 2010 | 35 | |
| 15 | 2010 | 7 | |
| 16 | 2008 | 85 | |
| 17 | 2007 | 147 | |
| 18 | 2007 | 37 | |
| 19 | 2006 | 22 | |
| 20 | 2004 | 51 |
About Tianfu Wu
Tianfu Wu is a scholar working on Rheumatology, Nephrology, Immunology, Radiology, Nuclear Medicine and Imaging and Molecular Biology, having authored 98 papers that have together received 3.4k indexed citations. Recurring topics across this work include Systemic Lupus Erythematosus Research (36 papers), Monoclonal and Polyclonal Antibodies Research (18 papers), Atherosclerosis and Cardiovascular Diseases (12 papers), Advanced Biosensing Techniques and Applications (10 papers), T-cell and B-cell Immunology (8 papers), Cytokine Signaling Pathways and Interactions (5 papers), Renal Diseases and Glomerulopathies (5 papers) and Biosensors and Analytical Detection (5 papers). The work is most often cited by research in Immunology (1.5k citations), Rheumatology (1.0k citations), Nephrology (342 citations), Radiology, Nuclear Medicine and Imaging (420 citations) and Aquatic Science (121 citations). Tianfu Wu has collaborated with scholars based in United States, China and South Korea. Frequent co-authors include Chandra Mohan, Chun Xie, Chaim Putterman, Zuan‐Tao Lin, Jie Han, Ramesh Saxena, Quan‐Zhen Li, Laurie S. Davis, Cynthia Aranow and Meggan Mackay. Their work appears in journals such as PLoS ONE, The Journal of Immunology, Life Sciences, Frontiers in Immunology and Clinical & Experimental Immunology.
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.