Wei Tan
Impact in
- Biophysics top 5%
- Cell Image Analysis Techniques
- Infectious Diseases top 10%
- SARS-CoV-2 and COVID-19 Research
- HIV/AIDS Research and Interventions
Papers in
-
- Genomics and Phylogenetic Studies 17
- Identification and Quantification in Food 6
-
- Mycorrhizal Fungi and Plant Interactions 4
- Co-authors
- Sanjna Nilesh Nerurkar (2 shared papers)Tony Kiat Hon Lim (1 shared paper)Duoduo Wu (1 shared paper)Jeffrey Chun Tatt Lim (1 shared paper)Joe Yeong (1 shared paper)Harry Ho Man Ng (1 shared paper)Xiaoxuan Tian (13 shared papers)Leora A. Shelef (4 shared papers)
- Journals
- Scientific Reports (3 papers)PeerJ (3 papers)British Journal of Urology (2 papers)Horticulturae (2 papers)International Journal of Biological Macromolecules (2 papers)
- Partner nations
- ChinaUnited StatesGermany
In The Last Decade
Wei Tan
66 papers receiving 1.4k citations
Wei Tan's Hit Papers
Peers
Comparison fields: 5 of 132
- Biophysics 90
- Infectious Diseases 182
- Molecular Biology 472
- Oncology 160
- Hematology 60
Countries citing papers authored by Wei Tan
This map shows the geographic impact of Wei Tan'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 Wei Tan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Wei Tan more than expected).
Fields of papers citing papers by Wei Tan
This network shows the impact of papers produced by Wei Tan. 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 Wei Tan. The network helps show where Wei Tan may publish in the future.
Co-authors
The 25 scholars most cited alongside Wei Tan, 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 66 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Overview of multiplex immunohistochemistry/immunofluorescence techniques in the era of cancer immunotherapy Hit paper breakdown → | 2020 | 426 |
| 2 | 2020 | 85 | |
| 3 | 2020 | 64 | |
| 4 | 2009 | 44 | |
| 5 | 2024 | 40 | |
| 6 | 2019 | 36 | |
| 7 | 2019 | 33 | |
| 8 | 2008 | 30 | |
| 9 | 2010 | 29 | |
| 10 | 2017 | 24 | |
| 11 | 2019 | 23 | |
| 12 | 2013 | 21 | |
| 13 | 2019 | 21 | |
| 14 | 2019 | 20 | |
| 15 | 2020 | 20 | |
| 16 | 1997 | 19 | |
| 17 | 2010 | 19 | |
| 18 | 2020 | 19 | |
| 19 | 2017 | 19 | |
| 20 | 1999 | 18 |
About Wei Tan
Wei Tan is a scholar working on Molecular Biology, Plant Science, Infectious Diseases, Pharmacology and Genetics, having authored 66 papers that have together received 1.4k indexed citations. Recurring topics across this work include Genomics and Phylogenetic Studies (17 papers), Fungal Biology and Applications (8 papers), Genetic diversity and population structure (8 papers), HIV/AIDS Research and Interventions (6 papers), Identification and Quantification in Food (6 papers), Mycorrhizal Fungi and Plant Interactions (4 papers), Acute Myeloid Leukemia Research (4 papers) and Biocrusts and Microbial Ecology (4 papers). The work is most often cited by research in Biophysics (90 citations), Infectious Diseases (182 citations), Molecular Biology (472 citations), Oncology (160 citations) and Hematology (60 citations). Wei Tan has collaborated with scholars based in China, United States and Germany. Frequent co-authors include Sanjna Nilesh Nerurkar, Tony Kiat Hon Lim, Duoduo Wu, Jeffrey Chun Tatt Lim, Joe Yeong, Harry Ho Man Ng, Xiaoxuan Tian, Leora A. Shelef, Xiaolei Yu and Han Gao. Their work appears in journals such as Scientific Reports, PeerJ, British Journal of Urology, Horticulturae and International Journal of Biological Macromolecules.
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.