Jin Cui
Impact in
- Agronomy and Crop Science top 5%
- Animal Disease Management and Epidemiology
- Biophysics top 5%
- Spectroscopy Techniques in Biomedical and Chemical Research
Papers in
-
- Synthetic Organic Chemistry Methods 7
- Oxidative Organic Chemistry Reactions 5
- Epidemiology 14
- Influenza Virus Research Studies 9
- Co-authors
- Takumi Watanabe (14 shared papers)Masakatsu Shibasaki (14 shared papers)Michio Murata (5 shared papers)Ming Liao (9 shared papers)Peirong Jiao (9 shared papers)Yafen Song (8 shared papers)Kosuke Dodo (2 shared papers)Masanao Kinoshita (2 shared papers)
- Journals
- Frontiers in Microbiology (7 papers)Veterinary Microbiology (4 papers)Frontiers in Immunology (2 papers)Angewandte Chemie International Edition (2 papers)Organic Letters (2 papers)
- Partner nations
- ChinaJapanUnited States
In The Last Decade
Jin Cui
43 papers receiving 706 citations
Peers
Comparison fields: 5 of 85
- Agronomy and Crop Science 100
- Biophysics 55
- Infectious Diseases 143
- Epidemiology 205
- Animal Science and Zoology 68
Countries citing papers authored by Jin Cui
This map shows the geographic impact of Jin Cui'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 Jin Cui with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jin Cui more than expected).
Fields of papers citing papers by Jin Cui
This network shows the impact of papers produced by Jin Cui. 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 Jin Cui. The network helps show where Jin Cui may publish in the future.
Co-authors
The 25 scholars most cited alongside Jin Cui, 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 46 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2015 | 118 | |
| 2 | 2020 | 46 | |
| 3 | 2013 | 34 | |
| 4 | 2013 | 34 | |
| 5 | 2017 | 33 | |
| 6 | 2018 | 27 | |
| 7 | 2020 | 27 | |
| 8 | 2017 | 25 | |
| 9 | 2016 | 25 | |
| 10 | 2017 | 24 | |
| 11 | 2016 | 22 | |
| 12 | 2022 | 21 | |
| 13 | 2020 | 21 | |
| 14 | 2018 | 21 | |
| 15 | 2016 | 20 | |
| 16 | 2015 | 17 | |
| 17 | 2017 | 17 | |
| 18 | 2015 | 17 | |
| 19 | 2018 | 16 | |
| 20 | 2014 | 16 |
About Jin Cui
Jin Cui is a scholar working on Organic Chemistry, Epidemiology, Molecular Biology, Infectious Diseases and Pharmacology, having authored 46 papers that have together received 716 indexed citations. Recurring topics across this work include Influenza Virus Research Studies (9 papers), Animal Disease Management and Epidemiology (8 papers), Viral gastroenteritis research and epidemiology (7 papers), Synthetic Organic Chemistry Methods (7 papers), Synthesis of Organic Compounds (6 papers), Animal Virus Infections Studies (6 papers), Lipid Membrane Structure and Behavior (5 papers) and Oxidative Organic Chemistry Reactions (5 papers). The work is most often cited by research in Agronomy and Crop Science (100 citations), Biophysics (55 citations), Infectious Diseases (143 citations), Epidemiology (205 citations) and Animal Science and Zoology (68 citations). Jin Cui has collaborated with scholars based in China, Japan and United States. Frequent co-authors include Takumi Watanabe, Masakatsu Shibasaki, Michio Murata, Ming Liao, Peirong Jiao, Yafen Song, Kosuke Dodo, Masanao Kinoshita, Mikiko Sodeoka and Jun Ando. Their work appears in journals such as Frontiers in Microbiology, Veterinary Microbiology, Frontiers in Immunology, Angewandte Chemie International Edition and Organic Letters.
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.