Weiwei Tong
Impact in
- Infectious Diseases top 10%
- Tuberculosis Research and Epidemiology
-
- Immunotherapy and Immune Responses
- T-cell and B-cell Immunology
Papers in
-
- Gut microbiota and health 2
- Epigenetics and DNA Methylation 2
- Oncology 4
- Co-authors
- Guanghui Tong (9 shared papers)Zhiping Weng (3 shared papers)Yong Liu (4 shared papers)Yong Liu (2 shared papers)Xiaosong Qin (4 shared papers)Alessandro Sette (1 shared paper)John Sidney (1 shared paper)Björn Peters (1 shared paper)
- Journals
- International Journal of Oncology (2 papers)Precision Clinical Medicine (2 papers)Proteins Structure Function and Bioinformatics (2 papers)Mathematics and Computers in Simulation (1 paper)Applied Physics Letters (1 paper)
- Partner nations
- ChinaUnited StatesHong Kong
In The Last Decade
Weiwei Tong
34 papers receiving 891 citations
Peers
Comparison fields: 5 of 120
- Infectious Diseases 116
- Immunology 122
- Cancer Research 80
- Oncology 141
- Molecular Biology 359
Countries citing papers authored by Weiwei Tong
This map shows the geographic impact of Weiwei Tong'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 Weiwei Tong with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Weiwei Tong more than expected).
Fields of papers citing papers by Weiwei Tong
This network shows the impact of papers produced by Weiwei Tong. 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 Weiwei Tong. The network helps show where Weiwei Tong may publish in the future.
Co-authors
The 25 scholars most cited alongside Weiwei Tong, 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 37 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2011 | 120 | |
| 2 | 2003 | 92 | |
| 3 | 2020 | 76 | |
| 4 | 2019 | 72 | |
| 5 | 2003 | 70 | |
| 6 | 2018 | 69 | |
| 7 | 2008 | 59 | |
| 8 | 2012 | 40 | |
| 9 | 2018 | 40 | |
| 10 | 2010 | 36 | |
| 11 | 2020 | 27 | |
| 12 | 2013 | 27 | |
| 13 | 2024 | 25 | |
| 14 | 2014 | 23 | |
| 15 | 2016 | 22 | |
| 16 | 2023 | 18 | |
| 17 | 2023 | 15 | |
| 18 | 2022 | 11 | |
| 19 | 2025 | 9 | |
| 20 | 2021 | 8 |
About Weiwei Tong
Weiwei Tong is a scholar working on Molecular Biology, Oncology, Cancer Research, Infectious Diseases and Modeling and Simulation, having authored 37 papers that have together received 906 indexed citations. Recurring topics across this work include Cancer, Hypoxia, and Metabolism (3 papers), COVID-19 epidemiological studies (2 papers), Gut microbiota and health (2 papers), Antioxidants, Aging, Portulaca oleracea (2 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (2 papers), Epigenetics and DNA Methylation (2 papers), Mycobacterium research and diagnosis (2 papers) and Enzyme Structure and Function (2 papers). The work is most often cited by research in Infectious Diseases (116 citations), Immunology (122 citations), Cancer Research (80 citations), Oncology (141 citations) and Molecular Biology (359 citations). Weiwei Tong has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Guanghui Tong, Zhiping Weng, Yong Liu, Yong Liu, Xiaosong Qin, Alessandro Sette, John Sidney, Björn Peters, Julian Mintseris and Li Li. Their work appears in journals such as International Journal of Oncology, Precision Clinical Medicine, Proteins Structure Function and Bioinformatics, Mathematics and Computers in Simulation and Applied Physics Letters.
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.