Jun Yu
Impact in
- Endocrinology top 0.5%
- Escherichia coli research studies
- Microbiology top 1%
Papers in
-
- Escherichia coli research studies 22
- Vibrio bacteria research studies 6
-
- Viral gastroenteritis research and epidemiology 11
- Co-authors
- Kevin P. Francis (12 shared papers)Jagath L. Kadurugamuwa (8 shared papers)Pamela R. Contag (6 shared papers)Elaine Tuomanen (3 shared papers)Carlos J. Orihuela (3 shared papers)Geli Gao (2 shared papers)Tony Purchio (5 shared papers)J. Simon Kroll (4 shared papers)
- Journals
- Infection and Immunity (8 papers)Antimicrobial Agents and Chemotherapy (4 papers)Journal of Medical Microbiology (3 papers)Microbiology (2 papers)The Journal of Infectious Diseases (2 papers)
- Partner nations
- United KingdomChinaUnited States
In The Last Decade
Jun Yu
58 papers receiving 2.6k citations
Peers
Comparison fields: 5 of 116
- Endocrinology 717
- Microbiology 359
- Molecular Medicine 221
- Infectious Diseases 642
- Food Science 296
Countries citing papers authored by Jun Yu
This map shows the geographic impact of Jun Yu'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 Jun Yu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jun Yu more than expected).
Fields of papers citing papers by Jun Yu
This network shows the impact of papers produced by Jun Yu. 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 Jun Yu. The network helps show where Jun Yu may publish in the future.
Co-authors
The 25 scholars most cited alongside Jun Yu, 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 58 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2004 | 252 | |
| 2 | 2001 | 215 | |
| 3 | 2003 | 206 | |
| 4 | 2012 | 200 | |
| 5 | 2004 | 136 | |
| 6 | 2003 | 129 | |
| 7 | 2004 | 129 | |
| 8 | 1992 | 117 | |
| 9 | 2004 | 85 | |
| 10 | 2003 | 82 | |
| 11 | 2011 | 62 | |
| 12 | 1998 | 62 | |
| 13 | 1999 | 61 | |
| 14 | 2003 | 61 | |
| 15 | 2006 | 59 | |
| 16 | 2003 | 59 | |
| 17 | 2008 | 54 | |
| 18 | 2005 | 50 | |
| 19 | 2001 | 48 | |
| 20 | 2004 | 47 |
About Jun Yu
Jun Yu is a scholar working on Endocrinology, Infectious Diseases, Molecular Biology, Epidemiology and Ecology, having authored 58 papers that have together received 2.7k indexed citations. Recurring topics across this work include Escherichia coli research studies (22 papers), Viral gastroenteritis research and epidemiology (11 papers), Salmonella and Campylobacter epidemiology (9 papers), Bacterial biofilms and quorum sensing (7 papers), bioluminescence and chemiluminescence research (7 papers), Bacterial Genetics and Biotechnology (7 papers), Bacteriophages and microbial interactions (7 papers) and Vibrio bacteria research studies (6 papers). The work is most often cited by research in Endocrinology (717 citations), Microbiology (359 citations), Molecular Medicine (221 citations), Infectious Diseases (642 citations) and Food Science (296 citations). Jun Yu has collaborated with scholars based in United Kingdom, China and United States. Frequent co-authors include Kevin P. Francis, Jagath L. Kadurugamuwa, Pamela R. Contag, Elaine Tuomanen, Carlos J. Orihuela, Geli Gao, Tony Purchio, J. Simon Kroll, Timothy R. Hirst and Helen Webb. Their work appears in journals such as Infection and Immunity, Antimicrobial Agents and Chemotherapy, Journal of Medical Microbiology, Microbiology and The Journal of Infectious Diseases.
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.