Tinghe Wu
Impact in
- Reproductive Medicine top 10%
Papers in
-
- Extracellular vesicles in disease 2
-
- T-cell and B-cell Immunology 3
- Reproductive System and Pregnancy 2
- Immune Cell Function and Interaction 2
- Co-authors
- Jing Li (7 shared papers)Weijie Yang (3 shared papers)Wei Liu (4 shared papers)Joseph D. Puglisi (1 shared paper)Elisabetta Viani Puglisi (1 shared paper)Alexey Petrov (1 shared paper)Jing Zhang (2 shared papers)Yuanlin He (2 shared papers)
- Journals
- Cell Death and Disease (2 papers)Clinical and Translational Medicine (1 paper)Journal of Autoimmunity (1 paper)Cancer Letters (1 paper)Methods in enzymology on CD-ROM/Methods in enzymology (1 paper)
- Partner nations
- ChinaUnited StatesSouth Korea
In The Last Decade
Tinghe Wu
15 papers receiving 447 citations
Peers
Comparison fields: 5 of 75
- Reproductive Medicine 55
- Aging 12
- Immunology 91
- Public Health, Environmental and Occupational Health 103
- Molecular Biology 225
Countries citing papers authored by Tinghe Wu
This map shows the geographic impact of Tinghe 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 Tinghe Wu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tinghe Wu more than expected).
Fields of papers citing papers by Tinghe Wu
This network shows the impact of papers produced by Tinghe 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 Tinghe Wu. The network helps show where Tinghe Wu may publish in the future.
Co-authors
The 25 scholars most cited alongside Tinghe 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 | 2020 | 119 | |
| 2 | 2021 | 83 | |
| 3 | 2013 | 57 | |
| 4 | 2022 | 42 | |
| 5 | 2017 | 25 | |
| 6 | 2007 | 24 | |
| 7 | 2012 | 22 | |
| 8 | 2005 | 17 | |
| 9 | BTLA, a new inhibitory B7 family receptor with a TNFR family ligand. | 2005 | 17 |
| 10 | 2017 | 10 | |
| 11 | 2025 | 10 | |
| 12 | 2007 | 8 | |
| 13 | 2003 | 7 | |
| 14 | 2003 | 6 | |
| 15 | 2022 | 3 |
About Tinghe Wu
Tinghe Wu is a scholar working on Molecular Biology, Immunology, Epidemiology, Public Health, Environmental and Occupational Health and Genetics, having authored 15 papers that have together received 450 indexed citations. Recurring topics across this work include T-cell and B-cell Immunology (3 papers), Endometriosis Research and Treatment (2 papers), Virology and Viral Diseases (2 papers), Reproductive System and Pregnancy (2 papers), Immune Cell Function and Interaction (2 papers), Extracellular vesicles in disease (2 papers), MicroRNA in disease regulation (2 papers) and Reproductive Biology and Fertility (2 papers). The work is most often cited by research in Reproductive Medicine (55 citations), Aging (12 citations), Immunology (91 citations), Public Health, Environmental and Occupational Health (103 citations) and Molecular Biology (225 citations). Tinghe Wu has collaborated with scholars based in China, United States and South Korea. Frequent co-authors include Jing Li, Weijie Yang, Wei Liu, Joseph D. Puglisi, Elisabetta Viani Puglisi, Alexey Petrov, Jing Zhang, Yuanlin He, Xiaona Lin and Boqun Xu. Their work appears in journals such as Cell Death and Disease, Clinical and Translational Medicine, Journal of Autoimmunity, Cancer Letters and Methods in enzymology on CD-ROM/Methods in enzymology.
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.