Danlan Wei
Impact in
- Virology top 5%
- HIV Research and Treatment
-
- Immune Cell Function and Interaction
- T-cell and B-cell Immunology
Papers in
- Virology 9
- HIV Research and Treatment 9
-
- Immune Cell Function and Interaction 7
- Phagocytosis and Immune Regulation 2
- T-cell and B-cell Immunology 2
- Reproductive System and Pregnancy 1
- Co-authors
- Claudia Cicala (11 shared papers)James Arthos (11 shared papers)Donald Van Ryk (7 shared papers)Anthony S. Fauci (6 shared papers)Fatima Nawaz (6 shared papers)Katija Jelicic (5 shared papers)Massimiliano Pascuccio (3 shared papers)Katharine E. Block (1 shared paper)
- Journals
- PLoS Pathogens (2 papers)eLife (2 papers)Scientific Reports (1 paper)The Journal of Immunology (1 paper)JAIDS Journal of Acquired Immune Deficiency Syndromes (1 paper)
- Partner nations
- United StatesThailandCanada
In The Last Decade
Danlan Wei
12 papers receiving 282 citations
Peers
Comparison fields: 5 of 54
- Virology 180
- Immunology 137
- Infectious Diseases 76
- Epidemiology 62
- Immunology and Allergy 10
Countries citing papers authored by Danlan Wei
This map shows the geographic impact of Danlan 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 Danlan Wei with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Danlan Wei more than expected).
Fields of papers citing papers by Danlan Wei
This network shows the impact of papers produced by Danlan 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 Danlan Wei. The network helps show where Danlan Wei may publish in the future.
Co-authors
The 25 scholars most cited alongside Danlan 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
| # | Work | ||
|---|---|---|---|
| 1 | 2011 | 95 | |
| 2 | 2013 | 78 | |
| 3 | 2003 | 39 | |
| 4 | 2018 | 35 | |
| 5 | 2018 | 17 | |
| 6 | 2023 | 9 | |
| 7 | 2023 | 3 | |
| 8 | 2024 | 3 | |
| 9 | 2024 | 1 | |
| 10 | 2023 | 1 | |
| 11 | 2016 | 1 | |
| 12 | 2013 | 1 |
About Danlan Wei
Danlan Wei is a scholar working on Virology, Immunology, Infectious Diseases, Molecular Biology and Epidemiology, having authored 12 papers that have together received 283 indexed citations. Recurring topics across this work include HIV Research and Treatment (9 papers), Immune Cell Function and Interaction (7 papers), Phagocytosis and Immune Regulation (2 papers), SARS-CoV-2 and COVID-19 Research (2 papers), T-cell and B-cell Immunology (2 papers), COVID-19 Clinical Research Studies (2 papers), Cytomegalovirus and herpesvirus research (1 paper) and Reproductive System and Pregnancy (1 paper). The work is most often cited by research in Virology (180 citations), Immunology (137 citations), Infectious Diseases (76 citations), Epidemiology (62 citations) and Immunology and Allergy (10 citations). Danlan Wei has collaborated with scholars based in United States, Thailand and Canada. Frequent co-authors include Claudia Cicala, James Arthos, Donald Van Ryk, Anthony S. Fauci, Fatima Nawaz, Katija Jelicic, Massimiliano Pascuccio, Katharine E. Block, David S. Strayer and Nikita Patel. Their work appears in journals such as PLoS Pathogens, eLife, Scientific Reports, The Journal of Immunology and JAIDS Journal of Acquired Immune Deficiency Syndromes.
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.