Yi‐Pin Lin
Impact in
- Parasitology top 0.2%
- Vector-borne infectious diseases
- Leptospirosis research and findings
- Infectious Diseases top 2%
- Viral Infections and Vectors
Papers in
- Parasitology 61
- Vector-borne infectious diseases 50
- Leptospirosis research and findings 11
-
- Viral Infections and Vectors 40
- Co-authors
- Yung‐Fu Chang (9 shared papers)Peter Kraiczy (17 shared papers)John M. Leong (13 shared papers)Yogendra Sharma (7 shared papers)Sean P. McDonough (8 shared papers)Amber M. Frye (3 shared papers)Jenifer Coburn (6 shared papers)Maria A. Diuk‐Wasser (9 shared papers)
- Journals
- Cellular Microbiology (6 papers)PLoS Pathogens (6 papers)Journal of Biological Chemistry (5 papers)Infection and Immunity (4 papers)Molecular Microbiology (4 papers)
- Partner nations
- United StatesGermanyIndia
In The Last Decade
Yi‐Pin Lin
67 papers receiving 1.9k citations
Peers
Comparison fields: 5 of 107
- Parasitology 1.3k
- Infectious Diseases 874
- Small Animals 158
- Immunology 280
- Insect Science 169
Countries citing papers authored by Yi‐Pin Lin
This map shows the geographic impact of Yi‐Pin Lin'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 Yi‐Pin Lin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yi‐Pin Lin more than expected).
Fields of papers citing papers by Yi‐Pin Lin
This network shows the impact of papers produced by Yi‐Pin Lin. 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 Yi‐Pin Lin. The network helps show where Yi‐Pin Lin may publish in the future.
Co-authors
The 25 scholars most cited alongside Yi‐Pin Lin, 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 70 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 180 | |
| 2 | 2009 | 98 | |
| 3 | 2017 | 83 | |
| 4 | 2012 | 78 | |
| 5 | 2007 | 75 | |
| 6 | 2014 | 72 | |
| 7 | 2014 | 63 | |
| 8 | 2008 | 60 | |
| 9 | 2011 | 57 | |
| 10 | 2018 | 56 | |
| 11 | 2009 | 52 | |
| 12 | 2008 | 49 | |
| 13 | 2020 | 47 | |
| 14 | 2010 | 44 | |
| 15 | 2015 | 40 | |
| 16 | 2007 | 38 | |
| 17 | 2020 | 38 | |
| 18 | 2016 | 36 | |
| 19 | 2018 | 36 | |
| 20 | 2010 | 35 |
About Yi‐Pin Lin
Yi‐Pin Lin is a scholar working on Parasitology, Infectious Diseases, Public Health, Environmental and Occupational Health, Immunology and Small Animals, having authored 70 papers that have together received 1.9k indexed citations. Recurring topics across this work include Vector-borne infectious diseases (50 papers), Viral Infections and Vectors (40 papers), Mosquito-borne diseases and control (14 papers), Toxin Mechanisms and Immunotoxins (12 papers), Leptospirosis research and findings (11 papers), Veterinary medicine and infectious diseases (7 papers), Vector-Borne Animal Diseases (6 papers) and Yersinia bacterium, plague, ectoparasites research (5 papers). The work is most often cited by research in Parasitology (1.3k citations), Infectious Diseases (874 citations), Small Animals (158 citations), Immunology (280 citations) and Insect Science (169 citations). Yi‐Pin Lin has collaborated with scholars based in United States, Germany and India. Frequent co-authors include Yung‐Fu Chang, Peter Kraiczy, John M. Leong, Yogendra Sharma, Sean P. McDonough, Amber M. Frye, Jenifer Coburn, Maria A. Diuk‐Wasser, Linda K. Nicholson and Yung‐Fu Chang. Their work appears in journals such as Cellular Microbiology, PLoS Pathogens, Journal of Biological Chemistry, Infection and Immunity and Molecular Microbiology.
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.