Han Wan
Impact in
- Infectious Diseases top 10%
- SARS-CoV-2 and COVID-19 Research
- Viral gastroenteritis research and epidemiology
-
- RNA and protein synthesis mechanisms
- RNA modifications and cancer
- RNA Research and Splicing
Papers in
-
- RNA and protein synthesis mechanisms 7
- RNA modifications and cancer 3
- Oncology 3
- Lung Cancer Research Studies 1
- Co-authors
- Anna Marie Pyle (7 shared papers)Nicholas C. Huston (4 shared papers)Rafael de Cesaris Araujo Tavares (4 shared papers)Craig B. Wilen (1 shared paper)Madison S. Strine (1 shared paper)Ye Tian (2 shared papers)Guang Tan (2 shared papers)Tong Shao (1 shared paper)
- Journals
- Journal of Virology (2 papers)Journal of Molecular Biology (2 papers)Bioinformatics (1 paper)PLoS Genetics (1 paper)Protein & Cell (1 paper)
- Partner nations
- United StatesChinaGermany
In The Last Decade
Han Wan
12 papers receiving 477 citations
Peers
Comparison fields: 5 of 65
- Infectious Diseases 133
- Molecular Biology 282
- Animal Science and Zoology 38
- Cardiology and Cardiovascular Medicine 59
- Immunology 57
Countries citing papers authored by Han Wan
This map shows the geographic impact of Han Wan'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 Han Wan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Han Wan more than expected).
Fields of papers citing papers by Han Wan
This network shows the impact of papers produced by Han Wan. 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 Han Wan. The network helps show where Han Wan may publish in the future.
Co-authors
The 25 scholars most cited alongside Han Wan, 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 | 2021 | 196 | |
| 2 | 2017 | 73 | |
| 3 | 2020 | 49 | |
| 4 | 2020 | 49 | |
| 5 | 2012 | 33 | |
| 6 | 2013 | 29 | |
| 7 | 2022 | 15 | |
| 8 | 2018 | 13 | |
| 9 | 2023 | 12 | |
| 10 | 2023 | 9 | |
| 11 | 2023 | 3 | |
| 12 | 2023 | 1 | |
| 13 | 2026 | 0 |
About Han Wan
Han Wan is a scholar working on Molecular Biology, Oncology, Immunology, Cancer Research and Infectious Diseases, having authored 13 papers that have together received 482 indexed citations. Recurring topics across this work include RNA and protein synthesis mechanisms (7 papers), RNA modifications and cancer (3 papers), interferon and immune responses (2 papers), Cancer-related molecular mechanisms research (2 papers), Immune Response and Inflammation (1 paper), Lung Cancer Research Studies (1 paper), Hepatitis B Virus Studies (1 paper) and Chromosomal and Genetic Variations (1 paper). The work is most often cited by research in Infectious Diseases (133 citations), Molecular Biology (282 citations), Animal Science and Zoology (38 citations), Cardiology and Cardiovascular Medicine (59 citations) and Immunology (57 citations). Han Wan has collaborated with scholars based in United States, China and Germany. Frequent co-authors include Anna Marie Pyle, Nicholas C. Huston, Rafael de Cesaris Araujo Tavares, Craig B. Wilen, Madison S. Strine, Ye Tian, Guang Tan, Tong Shao, Xiaoxiao Xu and Li‐xin Xiang. Their work appears in journals such as Journal of Virology, Journal of Molecular Biology, Bioinformatics, PLoS Genetics and Protein & Cell.
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.