Kun Cai
Impact in
- Endocrinology top 5%
- Escherichia coli research studies
- Infectious Diseases top 10%
- Viral gastroenteritis research and epidemiology
Papers in
-
- Viral gastroenteritis research and epidemiology 10
- Clostridium difficile and Clostridium perfringens research 5
- Co-authors
- Gui‐Sheng Zhang (5 shared papers)Yang Liu (6 shared papers)Wei Tu (15 shared papers)Qin Wang (13 shared papers)Le Xiao (12 shared papers)Dongfei Qi (4 shared papers)Oumei Wang (4 shared papers)Yingying Le (4 shared papers)
- Journals
- Vaccine (4 papers)Scientific Reports (3 papers)Microbes and Infection (3 papers)Journal of Biological Chemistry (2 papers)Protein Expression and Purification (2 papers)
- Partner nations
- ChinaBelarusUnited States
In The Last Decade
Kun Cai
56 papers receiving 983 citations
Peers
Comparison fields: 5 of 104
- Endocrinology 158
- Infectious Diseases 168
- Molecular Medicine 45
- Rehabilitation 57
- Food Science 120
Countries citing papers authored by Kun Cai
This map shows the geographic impact of Kun Cai'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 Cai with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kun Cai more than expected).
Fields of papers citing papers by Kun Cai
This network shows the impact of papers produced by Kun Cai. 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 Cai. The network helps show where Kun Cai may publish in the future.
Co-authors
The 25 scholars most cited alongside Kun Cai, 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 56 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2021 | 96 | |
| 2 | 2021 | 73 | |
| 3 | 2011 | 54 | |
| 4 | 2022 | 45 | |
| 5 | 2009 | 43 | |
| 6 | 2020 | 43 | |
| 7 | 1997 | 43 | |
| 8 | 2009 | 41 | |
| 9 | 2007 | 38 | |
| 10 | 1997 | 32 | |
| 11 | 2010 | 29 | |
| 12 | 2016 | 28 | |
| 13 | 2010 | 28 | |
| 14 | 2021 | 27 | |
| 15 | 1998 | 24 | |
| 16 | 2015 | 22 | |
| 17 | 2023 | 21 | |
| 18 | 2011 | 20 | |
| 19 | 2015 | 19 | |
| 20 | 1998 | 19 |
About Kun Cai
Kun Cai is a scholar working on Molecular Biology, Infectious Diseases, Endocrinology, Organic Chemistry and Neurology, having authored 56 papers that have together received 1.0k indexed citations. Recurring topics across this work include Escherichia coli research studies (10 papers), Viral gastroenteritis research and epidemiology (10 papers), Botulinum Toxin and Related Neurological Disorders (6 papers), Chemical Synthesis and Reactions (6 papers), Clostridium difficile and Clostridium perfringens research (5 papers), Hereditary Neurological Disorders (4 papers), Pancreatitis Pathology and Treatment (3 papers) and Neurological disorders and treatments (3 papers). The work is most often cited by research in Endocrinology (158 citations), Infectious Diseases (168 citations), Molecular Medicine (45 citations), Rehabilitation (57 citations) and Food Science (120 citations). Kun Cai has collaborated with scholars based in China, Belarus and United States. Frequent co-authors include Gui‐Sheng Zhang, Yang Liu, Wei Tu, Qin Wang, Le Xiao, Dongfei Qi, Oumei Wang, Yingying Le, Hui Wang and Wancong Zhang. Their work appears in journals such as Vaccine, Scientific Reports, Microbes and Infection, Journal of Biological Chemistry and Protein Expression and Purification.
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.