Lin Ai
Impact in
- Parasitology top 0.5%
- Parasites and Host Interactions
- Parasitic Infections and Diagnostics
- Small Animals top 0.5%
- Helminth infection and control
Papers in
- Parasitology 34
- Parasites and Host Interactions 21
- Parasitic Infections and Diagnostics 9
- Ecology 28
- Parasite Biology and Host Interactions 28
- Co-authors
- Xing‐Quan Zhu (20 shared papers)Mu-Xin Chen (19 shared papers)Jiaxu Chen (25 shared papers)Xiao‐Nong Zhou (13 shared papers)Rui-Qing Lin (9 shared papers)Hongyu Zhao (2 shared papers)Aaron J. Berger (1 shared paper)Kenneth R. Williams (1 shared paper)
- Journals
- Parasitology Research (7 papers)Infectious Diseases of Poverty (7 papers)Acta Tropica (5 papers)Parasites & Vectors (4 papers)Journal of Parasitology (3 papers)
- Partner nations
- ChinaUnited StatesUnited Kingdom
In The Last Decade
Lin Ai
103 papers receiving 2.1k citations
Peers
Comparison fields: 5 of 122
- Parasitology 593
- Small Animals 514
- Ecology 603
- Animal Science and Zoology 183
- Cancer Research 131
Countries citing papers authored by Lin Ai
This map shows the geographic impact of Lin Ai'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 Lin Ai with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lin Ai more than expected).
Fields of papers citing papers by Lin Ai
This network shows the impact of papers produced by Lin Ai. 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 Lin Ai. The network helps show where Lin Ai may publish in the future.
Co-authors
The 25 scholars most cited alongside Lin Ai, 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 106 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2004 | 371 | |
| 2 | 2020 | 96 | |
| 3 | 2014 | 88 | |
| 4 | 2014 | 79 | |
| 5 | 2013 | 70 | |
| 6 | 2008 | 64 | |
| 7 | 2011 | 60 | |
| 8 | 2019 | 55 | |
| 9 | 2010 | 51 | |
| 10 | 2006 | 50 | |
| 11 | 2012 | 46 | |
| 12 | 2010 | 43 | |
| 13 | 2021 | 42 | |
| 14 | 2010 | 38 | |
| 15 | 2013 | 37 | |
| 16 | 2016 | 36 | |
| 17 | 2018 | 36 | |
| 18 | 2011 | 35 | |
| 19 | 2014 | 34 | |
| 20 | 2020 | 31 |
About Lin Ai
Lin Ai is a scholar working on Parasitology, Ecology, Small Animals, Molecular Biology and Public Health, Environmental and Occupational Health, having authored 106 papers that have together received 2.1k indexed citations. Recurring topics across this work include Parasite Biology and Host Interactions (28 papers), Helminth infection and control (26 papers), Parasites and Host Interactions (21 papers), Parasitic Infections and Diagnostics (9 papers), RNA Research and Splicing (9 papers), Mollusks and Parasites Studies (9 papers), Coccidia and coccidiosis research (7 papers) and RNA modifications and cancer (7 papers). The work is most often cited by research in Parasitology (593 citations), Small Animals (514 citations), Ecology (603 citations), Animal Science and Zoology (183 citations) and Cancer Research (131 citations). Lin Ai has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Xing‐Quan Zhu, Mu-Xin Chen, Jiaxu Chen, Xiao‐Nong Zhou, Rui-Qing Lin, Hongyu Zhao, Aaron J. Berger, Kenneth R. Williams, E. Sergio Trombetta and Harriet M. Kluger. Their work appears in journals such as Parasitology Research, Infectious Diseases of Poverty, Acta Tropica, Parasites & Vectors and Journal of Parasitology.
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.