Tanwei Yuan
Impact in
- Health Informatics top 5%
- Infectious Diseases top 5%
- COVID-19 Clinical Research Studies
- SARS-CoV-2 and COVID-19 Research
- HIV/AIDS Research and Interventions
Papers in
-
- HIV/AIDS Research and Interventions 10
- SARS-CoV-2 and COVID-19 Research 3
- Oncology 7
- Co-authors
- Huachun Zou (24 shared papers)Hermann Brenner (13 shared papers)Michael Hoffmeister (13 shared papers)Peiyang Li (15 shared papers)Han‐Zhu Qian (4 shared papers)Linghua Li (6 shared papers)Yuewei Zhan (6 shared papers)Jakob Nikolas Kather (8 shared papers)
In The Last Decade
Tanwei Yuan
44 papers receiving 1.9k citations
Tanwei Yuan's Hit Papers
Peers
Comparison fields: 5 of 129
- Health Informatics 52
- Infectious Diseases 552
- Modeling and Simulation 91
- Neurology 195
- Radiology, Nuclear Medicine and Imaging 239
Countries citing papers authored by Tanwei Yuan
This map shows the geographic impact of Tanwei Yuan'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 Tanwei Yuan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tanwei Yuan more than expected).
Fields of papers citing papers by Tanwei Yuan
This network shows the impact of papers produced by Tanwei Yuan. 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 Tanwei Yuan. The network helps show where Tanwei Yuan may publish in the future.
Co-authors
The 25 scholars most cited alongside Tanwei Yuan, 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 48 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Clinical characteristics of coronavirus disease 2019 (COVID-19) in China: A systematic review and meta-analysis Hit paper breakdown → | 2020 | 805 |
| 2 | Transformer-based biomarker prediction from colorectal cancer histology: A large-scale multicentric study Hit paper breakdown → | 2023 | 185 |
| 3 | 2022 | 157 | |
| 4 | 2019 | 75 | |
| 5 | 2022 | 75 | |
| 6 | 2022 | 72 | |
| 7 | 2023 | 62 | |
| 8 | 2024 | 58 | |
| 9 | 2023 | 56 | |
| 10 | 2024 | 45 | |
| 11 | 2020 | 43 | |
| 12 | 2021 | 32 | |
| 13 | 2020 | 26 | |
| 14 | 2018 | 25 | |
| 15 | 2019 | 22 | |
| 16 | 2019 | 20 | |
| 17 | 2021 | 19 | |
| 18 | 2024 | 18 | |
| 19 | 2021 | 16 | |
| 20 | 2021 | 16 |
About Tanwei Yuan
Tanwei Yuan is a scholar working on Infectious Diseases, Oncology, Epidemiology, Surgery and Radiology, Nuclear Medicine and Imaging, having authored 48 papers that have together received 2.0k indexed citations. Recurring topics across this work include HIV/AIDS Research and Interventions (10 papers), Genital Health and Disease (7 papers), AI in cancer detection (5 papers), Cervical Cancer and HPV Research (4 papers), Epigenetics and DNA Methylation (4 papers), Cancer Genomics and Diagnostics (3 papers), SARS-CoV-2 and COVID-19 Research (3 papers) and Genetic factors in colorectal cancer (3 papers). The work is most often cited by research in Health Informatics (52 citations), Infectious Diseases (552 citations), Modeling and Simulation (91 citations), Neurology (195 citations) and Radiology, Nuclear Medicine and Imaging (239 citations). Tanwei Yuan has collaborated with scholars based in China, Australia and Germany. Frequent co-authors include Huachun Zou, Hermann Brenner, Michael Hoffmeister, Peiyang Li, Han‐Zhu Qian, Linghua Li, Yuewei Zhan, Jakob Nikolas Kather, Yiguo Zhou and Hui Wang. Their work appears in journals such as npj Precision Oncology, Sexual Health, EClinicalMedicine, BMC Infectious Diseases and Frontiers in Medicine.
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.