Fan Hui Wen
- Virology top 0.2%
- Rabies epidemiology and control 62
- Genetics top 0.5%
- Venomous Animal Envenomation and Studies 78
- Paleontology top 1%
- Marine Invertebrate Physiology and Ecology 13
- Insect Science top 2%
- Insect and Pesticide Research 10
- Pharmacology top 2%
- Healthcare and Venom Research 13
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- Mosquito-borne diseases and control 10
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- Amphibian and Reptile Biology 8
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- Entomological Studies and Ecology 7
- Co-authors
- David A. WarrellJosé Marı́a GutiérrezWuelton Marcelo MonteiroJoão Luiz Costa CardosoDavid J. WilliamsFrancisco Oscar de Siqueira FrançaGeoffrey K. IsbisterR.D.G. Theakston
- Cited by
- VirologyGeneticsPaleontology
- Journals
- The Lancet (1 paper)SHILAP Revista de lepidopterología (2 papers)PLoS ONE (4 papers)
- Partner nations
- BrazilUnited StatesUnited Kingdom
In The Last Decade
Fan Hui Wen
93 papers receiving 3.0k citations
Hit Papers
Peers
Comparison fields: 5 of 113
- Virology 1.9k
- Genetics 2.7k
- Paleontology 632
- Insect Science 377
- Pharmacology 483
Countries citing papers authored by Fan Hui Wen
This map shows the geographic impact of Fan Hui Wen'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 Fan Hui Wen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Fan Hui Wen more than expected).
Fields of papers citing papers by Fan Hui Wen
This network shows the impact of papers produced by Fan Hui Wen. 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 Fan Hui Wen. The network helps show where Fan Hui Wen may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Fan Hui Wen, 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 | 2024 | 2 | |
| 2 | 2023 | 6 | |
| 3 | 2023 | 3 | |
| 4 | 2023 | 5 | |
| 5 | 2022 | 2 | |
| 6 | 2021 | 27 | |
| 7 | 2021 | 41 | |
| 8 | 2021 | 19 | |
| 9 | 2021 | 7 | |
| 10 | 2020 | 28 | |
| 11 | 2020 | 18 | |
| 12 | 2020 | 46 | |
| 13 | Strategy for a globally coordinated response to a priority neglected tropical disease: Snakebite envenomingbreakdown → | 2019 | 290 |
| 14 | 2019 | 1 | |
| 15 | 2018 | 53 | |
| 16 | 2017 | 68 | |
| 17 | 2011 | 150 | |
| 18 | 2008 | 75 | |
| 19 | 2006 | 58 | |
| 20 | Acidentes provocados por celenterados: Aspectos clinicos e terapeuticos | 1997 | 3 |
About Fan Hui Wen
Fan Hui Wen is a scholar working on Virology, Genetics and Paleontology, having authored 98 papers that have together received 3.1k indexed citations. Recurring topics across this work include Venomous Animal Envenomation and Studies (78 papers), Rabies epidemiology and control (62 papers), Marine Invertebrate Physiology and Ecology (13 papers), Healthcare and Venom Research (13 papers), Insect and Pesticide Research (10 papers), Mosquito-borne diseases and control (10 papers), Amphibian and Reptile Biology (8 papers) and Entomological Studies and Ecology (7 papers). The work is most often cited by research in Virology (1.9k citations), Genetics (2.7k citations) and Paleontology (632 citations). Fan Hui Wen has collaborated with scholars based in Brazil, United States and United Kingdom. Frequent co-authors include David A. Warrell, José Marı́a Gutiérrez, Wuelton Marcelo Monteiro, João Luiz Costa Cardoso, David J. Williams, Francisco Oscar de Siqueira França, Geoffrey K. Isbister, R.D.G. Theakston, Jacqueline de Almeida Gonçalves Sachett and Marcus Lacerda. Their work appears in journals such as The Lancet, SHILAP Revista de lepidopterología and PLoS ONE.
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.