Junfei Wei
Impact in
- Parasitology top 2%
- Parasites and Host Interactions
- Infectious Diseases top 5%
- Parasitic Diseases Research and Treatment
- SARS-CoV-2 and COVID-19 Research
Papers in
- Parasitology 12
- Parasites and Host Interactions 10
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- Parasitic Diseases Research and Treatment 10
- SARS-CoV-2 and COVID-19 Research 6
- Co-authors
- Bin Zhan (18 shared papers)María Elena Bottazzi (18 shared papers)Yuan Gu (6 shared papers)Peter Jay Hotez (17 shared papers)Jing Yang (6 shared papers)Zhuyun Liu (15 shared papers)Yaping Yang (5 shared papers)Ulrich Strych (10 shared papers)
- Journals
- Vaccine (4 papers)PLoS neglected tropical diseases (4 papers)Human Vaccines & Immunotherapeutics (3 papers)PLoS Pathogens (2 papers)Protein Expression and Purification (2 papers)
- Partner nations
- United StatesChinaBrazil
In The Last Decade
Junfei Wei
29 papers receiving 862 citations
Peers
Comparison fields: 5 of 68
- Parasitology 284
- Infectious Diseases 477
- Small Animals 68
- Ecology 161
- Immunology 114
Countries citing papers authored by Junfei Wei
This map shows the geographic impact of Junfei 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 Junfei Wei with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Junfei Wei more than expected).
Fields of papers citing papers by Junfei Wei
This network shows the impact of papers produced by Junfei 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 Junfei Wei. The network helps show where Junfei Wei may publish in the future.
Co-authors
The 25 scholars most cited alongside Junfei 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 29 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2021 | 72 | |
| 2 | 2021 | 65 | |
| 3 | 2011 | 53 | |
| 4 | 2021 | 51 | |
| 5 | 2009 | 47 | |
| 6 | 2015 | 46 | |
| 7 | 2013 | 44 | |
| 8 | 2016 | 43 | |
| 9 | 2010 | 42 | |
| 10 | 2021 | 38 | |
| 11 | 2007 | 37 | |
| 12 | 2011 | 36 | |
| 13 | 2021 | 35 | |
| 14 | 2017 | 30 | |
| 15 | 2022 | 30 | |
| 16 | 2015 | 25 | |
| 17 | 2016 | 24 | |
| 18 | 2016 | 23 | |
| 19 | 2020 | 23 | |
| 20 | 2014 | 20 |
About Junfei Wei
Junfei Wei is a scholar working on Parasitology, Infectious Diseases, Ecology, Epidemiology and Public Health, Environmental and Occupational Health, having authored 29 papers that have together received 873 indexed citations. Recurring topics across this work include Parasitic Diseases Research and Treatment (10 papers), Parasites and Host Interactions (10 papers), Parasite Biology and Host Interactions (7 papers), SARS-CoV-2 and COVID-19 Research (6 papers), Research on Leishmaniasis Studies (5 papers), Trypanosoma species research and implications (4 papers), Bacillus and Francisella bacterial research (4 papers) and vaccines and immunoinformatics approaches (3 papers). The work is most often cited by research in Parasitology (284 citations), Infectious Diseases (477 citations), Small Animals (68 citations), Ecology (161 citations) and Immunology (114 citations). Junfei Wei has collaborated with scholars based in United States, China and Brazil. Frequent co-authors include Bin Zhan, María Elena Bottazzi, Yuan Gu, Peter Jay Hotez, Jing Yang, Zhuyun Liu, Yaping Yang, Ulrich Strych, Shaohua Wang and Xinping Zhu. Their work appears in journals such as Vaccine, PLoS neglected tropical diseases, Human Vaccines & Immunotherapeutics, PLoS Pathogens and Protein Expression and Purification.
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.