Mei Ren
Impact in
- Parasitology top 5%
- Parasitic Infections and Diagnostics
- Toxoplasma gondii Research Studies
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- Animal Disease Management and Epidemiology
Papers in
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- Plant Gene Expression Analysis 4
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- Animal Disease Management and Epidemiology 8
- Co-authors
- Qing Lin (7 shared papers)Huichen Guo (5 shared papers)Shiqi Sun (9 shared papers)Min Zou (3 shared papers)Fan Yang (3 shared papers)Kai Liu (1 shared paper)Jiajun Li (2 shared papers)Huijun Zhang (2 shared papers)
- Journals
- Plant Science (2 papers)Vaccines (2 papers)Parasites & Vectors (2 papers)Applied Microbiology and Biotechnology (1 paper)Stem Cell Research & Therapy (1 paper)
- Partner nations
- ChinaBelgiumUnited States
In The Last Decade
Mei Ren
38 papers receiving 265 citations
Peers
Comparison fields: 5 of 82
- Parasitology 74
- Agronomy and Crop Science 36
- Infectious Diseases 49
- Animal Science and Zoology 19
- Pathology and Forensic Medicine 25
Countries citing papers authored by Mei Ren
This map shows the geographic impact of Mei Ren'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 Mei Ren with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mei Ren more than expected).
Fields of papers citing papers by Mei Ren
This network shows the impact of papers produced by Mei Ren. 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 Mei Ren. The network helps show where Mei Ren may publish in the future.
Co-authors
The 25 scholars most cited alongside Mei Ren, 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 41 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 31 | |
| 2 | 2022 | 30 | |
| 3 | 2022 | 23 | |
| 4 | 2020 | 18 | |
| 5 | 2020 | 15 | |
| 6 | 2021 | 13 | |
| 7 | 2023 | 13 | |
| 8 | 2022 | 11 | |
| 9 | 2023 | 10 | |
| 10 | 2019 | 10 | |
| 11 | 2024 | 9 | |
| 12 | 2022 | 9 | |
| 13 | 2024 | 8 | |
| 14 | 2024 | 7 | |
| 15 | 2021 | 7 | |
| 16 | 2025 | 7 | |
| 17 | 2024 | 6 | |
| 18 | 2023 | 5 | |
| 19 | 2024 | 4 | |
| 20 | 2019 | 4 |
About Mei Ren
Mei Ren is a scholar working on Molecular Biology, Agronomy and Crop Science, Parasitology, Cardiology and Cardiovascular Medicine and Animal Science and Zoology, having authored 41 papers that have together received 269 indexed citations. Recurring topics across this work include Animal Disease Management and Epidemiology (8 papers), Parasitic Infections and Diagnostics (5 papers), Viral Infections and Immunology Research (5 papers), Plant Gene Expression Analysis (4 papers), Vector-Borne Animal Diseases (3 papers), Toxoplasma gondii Research Studies (3 papers), Coccidia and coccidiosis research (2 papers) and Plant Molecular Biology Research (2 papers). The work is most often cited by research in Parasitology (74 citations), Agronomy and Crop Science (36 citations), Infectious Diseases (49 citations), Animal Science and Zoology (19 citations) and Pathology and Forensic Medicine (25 citations). Mei Ren has collaborated with scholars based in China, Belgium and United States. Frequent co-authors include Qing Lin, Huichen Guo, Shiqi Sun, Min Zou, Fan Yang, Kai Liu, Jiajun Li, Huijun Zhang, Jun-Ke Song and Jiaxi Ru. Their work appears in journals such as Plant Science, Vaccines, Parasites & Vectors, Applied Microbiology and Biotechnology and Stem Cell Research & Therapy.
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.