Jin-Yan Mei
- Parasitology top 1%
- Ecology top 10%
- Small Animals top 2%
- Public Health, Environmental and Occupational Health top 10%
- Pediatrics, Perinatology and Child Health
- Co-authors
- Jacques CholletMarcel TannerJürg UtzingerShu-Hua XiaoPei-ying JiaoJennifer KeiserHugues MatileBernard Scorneaux
- Topics
- Parasites and Host Interactions (8 papers)Drug-Induced Hepatotoxicity and Protection (3 papers)Parasite Biology and Host Interactions (3 papers)
- Cited by
- ParasitologySmall AnimalsEcology
- Journals
- PLoS neglected tropical diseasesTransactions of the Royal Society of Tropical Medicine and HygieneActa Tropica
- Partner nations
- ChinaSwitzerlandUnited States
In The Last Decade
Jin-Yan Mei
8 papers receiving 410 citations
Peers
Comparison fields: 5 of 35
- Parasitology 389
- Ecology 242
- Small Animals 186
- Public Health, Environmental and Occupational Health 184
- Pediatrics, Perinatology and Child Health 35
Countries citing papers authored by Jin-Yan Mei
This map shows the geographic impact of Jin-Yan Mei'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 Jin-Yan Mei with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jin-Yan Mei more than expected).
Fields of papers citing papers by Jin-Yan Mei
This network shows the impact of papers produced by Jin-Yan Mei. 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 Jin-Yan Mei. The network helps show where Jin-Yan Mei may publish in the future.
Co-authorship network of co-authors of Jin-Yan Mei
This figure shows the co-authorship network connecting the top 25 collaborators of Jin-Yan Mei. A scholar is included among the top collaborators of Jin-Yan Mei based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Jin-Yan Mei. Jin-Yan Mei is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 167 | |
| 2 | 26 | |
| 3 | 40 | |
| 4 | 32 | |
| 5 | 72 | |
| 6 | 67 | |
| 7 | Effect of artemether on glucose uptake and glycogen content in Schistosoma japonicum. | 17 |
| 8 | Early treatment of schistosomal infection with artemether and praziquantel in rabbits. | 5 |
About Jin-Yan Mei
Jin-Yan Mei is a scholar working on Parasitology, Pharmacology and Small Animals, having authored 8 papers that have together received 426 indexed citations. Recurring topics across this work include Parasites and Host Interactions (8 papers), Drug-Induced Hepatotoxicity and Protection (3 papers) and Parasite Biology and Host Interactions (3 papers). The work is most often cited by research in Parasitology (389 citations), Small Animals (186 citations) and Ecology (242 citations). Jin-Yan Mei has collaborated with scholars based in China, Switzerland and United States. Frequent co-authors include Jacques Chollet, Marcel Tanner, Jürg Utzinger, Shu-Hua Xiao, Pei-ying Jiao, Jennifer Keiser, Marcel Tanner, Jürg Utzinger, Hugues Matile and Jürg Utzinger. Their work appears in journals such as PLoS neglected tropical diseases, Transactions of the Royal Society of Tropical Medicine and Hygiene and Acta Tropica.
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.