Lei Wei
Impact in
- Hepatology top 5%
- Hepatitis C virus research
- Infectious Diseases top 10%
- Viral Infections and Vectors
Papers in ⓘ
- Virology 4
- HIV Research and Treatment 4
-
- Hepatitis C virus research 4
- Co-authors
- Alexander Ploß (6 shared papers)Xiaolan Zhao (10 shared papers)Qiang Ding (1 shared paper)Brigitte Heller (1 shared paper)Jenna M. Gaska (1 shared paper)David D. Kim (1 shared paper)Florian Douam (1 shared paper)Catherine H. Freudenreich (2 shared papers)
- Journals
- Nature Communications (3 papers)Cell Reports (2 papers)Journal of Biological Chemistry (2 papers)Proceedings of the National Academy of Sciences (2 papers)Scientific Reports (1 paper)
- Partner nations
- United StatesChinaGermany
In The Last Decade
Lei Wei
32 papers receiving 848 citations
Peers
Comparison fields: 5 of 82
- Hepatology 189
- Infectious Diseases 167
- Epidemiology 299
- Virology 38
- Immunology 128
Countries citing papers authored by Lei Wei
This map shows the geographic impact of Lei Wei'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 Lei Wei with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lei Wei more than expected).
Fields of papers citing papers by Lei Wei
This network shows the impact of papers produced by Lei Wei. 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 Lei Wei. The network helps show where Lei Wei may publish in the future.
Co-authors
The 25 scholars most cited alongside Lei Wei, 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 32 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 147 | |
| 2 | 2020 | 81 | |
| 3 | 2021 | 74 | |
| 4 | 2021 | 64 | |
| 5 | 2016 | 60 | |
| 6 | 2016 | 54 | |
| 7 | 2020 | 49 | |
| 8 | 2017 | 37 | |
| 9 | 2014 | 27 | |
| 10 | 1999 | 25 | |
| 11 | 2018 | 24 | |
| 12 | 2018 | 22 | |
| 13 | 2016 | 21 | |
| 14 | 2010 | 18 | |
| 15 | 2022 | 17 | |
| 16 | 2019 | 16 | |
| 17 | 2021 | 14 | |
| 18 | 2020 | 14 | |
| 19 | 2017 | 13 | |
| 20 | 2012 | 12 |
About Lei Wei
Lei Wei is a scholar working on Virology, Hepatology, Infectious Diseases, Neurology and Developmental Neuroscience, having authored 32 papers that have together received 858 indexed citations. Recurring topics across this work include DNA Repair Mechanisms (9 papers), Hepatitis B Virus Studies (6 papers), Ubiquitin and proteasome pathways (6 papers), HIV Research and Treatment (4 papers), Hepatitis C virus research (4 papers), Genetics and Neurodevelopmental Disorders (4 papers), RNA Research and Splicing (3 papers) and Cytokine Signaling Pathways and Interactions (2 papers). The work is most often cited by research in Hepatology (189 citations), Infectious Diseases (167 citations), Epidemiology (299 citations), Virology (38 citations) and Immunology (128 citations). Lei Wei has collaborated with scholars based in United States, China and Germany. Frequent co-authors include Alexander Ploß, Xiaolan Zhao, Qiang Ding, Brigitte Heller, Jenna M. Gaska, David D. Kim, Florian Douam, Catherine H. Freudenreich, Xiang‐Zhou Meng and Pingyi Xu. Their work appears in journals such as Nature Communications, Cell Reports, Journal of Biological Chemistry, Proceedings of the National Academy of Sciences and Scientific Reports.
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.