Kun Li
Impact in
- Parasitology top 1%
- Parasitic Infections and Diagnostics
- Molecular Medicine top 2%
- Antibiotic Resistance in Bacteria
Papers in
-
- Gut microbiota and health 44
- Genetics 49
- Genetic Mapping and Diversity in Plants and Animals 21
- Genetic and phenotypic traits in livestock 14
- Co-authors
- Jiakui Li (63 shared papers)Khalid Mehmood (45 shared papers)Muhammad Fakhar‐e‐Alam Kulyar (35 shared papers)Muhammad Shahzad (28 shared papers)Hui Zhang (22 shared papers)Houqiang Luo (33 shared papers)Fazul Nabi (22 shared papers)Hu Yang (1 shared paper)
- Journals
- Microbial Pathogenesis (13 papers)Frontiers in Microbiology (10 papers)Ecotoxicology and Environmental Safety (10 papers)Frontiers in Pharmacology (10 papers)Animal Genetics (7 papers)
- Partner nations
- ChinaPakistanUnited States
In The Last Decade
Kun Li
419 papers receiving 6.5k citations
Peers
Comparison fields: 5 of 192
- Parasitology 400
- Molecular Medicine 213
- Animal Science and Zoology 385
- Infectious Diseases 584
- Agronomy and Crop Science 305
Countries citing papers authored by Kun Li
This map shows the geographic impact of Kun Li'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 Kun Li with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kun Li more than expected).
Fields of papers citing papers by Kun Li
This network shows the impact of papers produced by Kun Li. 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 Kun Li. The network helps show where Kun Li may publish in the future.
Co-authors
The 25 scholars most cited alongside Kun Li, 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 453 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2014 | 320 | |
| 2 | 2004 | 152 | |
| 3 | 2015 | 142 | |
| 4 | 2002 | 126 | |
| 5 | 2006 | 110 | |
| 6 | 2013 | 103 | |
| 7 | 2019 | 92 | |
| 8 | 2007 | 88 | |
| 9 | 2021 | 74 | |
| 10 | 2017 | 70 | |
| 11 | 2020 | 68 | |
| 12 | 2022 | 67 | |
| 13 | 2022 | 64 | |
| 14 | 2022 | 64 | |
| 15 | 2020 | 63 | |
| 16 | 2019 | 63 | |
| 17 | 2011 | 62 | |
| 18 | 2016 | 61 | |
| 19 | 2001 | 59 | |
| 20 | 2003 | 57 |
About Kun Li
Kun Li is a scholar working on Molecular Biology, Genetics, Epidemiology, Parasitology and Infectious Diseases, having authored 453 papers that have together received 6.6k indexed citations. Recurring topics across this work include Gut microbiota and health (44 papers), Parasitic Infections and Diagnostics (27 papers), Genetic Mapping and Diversity in Plants and Animals (21 papers), Probiotics and Fermented Foods (20 papers), Helminth infection and control (15 papers), Pharmacological Effects of Natural Compounds (15 papers), Genetic and phenotypic traits in livestock (14 papers) and Ruminant Nutrition and Digestive Physiology (12 papers). The work is most often cited by research in Parasitology (400 citations), Molecular Medicine (213 citations), Animal Science and Zoology (385 citations), Infectious Diseases (584 citations) and Agronomy and Crop Science (305 citations). Kun Li has collaborated with scholars based in China, Pakistan and United States. Frequent co-authors include Jiakui Li, Khalid Mehmood, Muhammad Fakhar‐e‐Alam Kulyar, Muhammad Shahzad, Hui Zhang, Houqiang Luo, Fazul Nabi, Hu Yang, Aimin Li and Han Yan. Their work appears in journals such as Microbial Pathogenesis, Frontiers in Microbiology, Ecotoxicology and Environmental Safety, Frontiers in Pharmacology and Animal Genetics.
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.