Xiu‐Jun Yu
Impact in
- Endocrinology top 0.5%
- Vibrio bacteria research studies
- Escherichia coli research studies
- Food Science top 2%
- Salmonella and Campylobacter epidemiology
Papers in
-
- Escherichia coli research studies 8
- Vibrio bacteria research studies 6
- Food Science 10
- Salmonella and Campylobacter epidemiology 10
- Co-authors
- David W. Holden (12 shared papers)Mei Liu (8 shared papers)Javier Ruiz‐Albert (3 shared papers)Carmen R. Beuzón (2 shared papers)Kate E. Unsworth (2 shared papers)Edouard E. Galyov (1 shared paper)Kieran McGourty (1 shared paper)Keisaku Fujimoto (1 shared paper)
- Journals
- mBio (3 papers)Infection and Immunity (3 papers)Microbiology (2 papers)Molecular Microbiology (2 papers)Journal of Alzheimer s Disease (1 paper)
- Partner nations
- United KingdomChinaJapan
In The Last Decade
Xiu‐Jun Yu
25 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 86
- Endocrinology 539
- Food Science 414
- Molecular Medicine 58
- Genetics 205
- Immunology 146
Countries citing papers authored by Xiu‐Jun Yu
This map shows the geographic impact of Xiu‐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 Xiu‐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 Xiu‐Jun Yu more than expected).
Fields of papers citing papers by Xiu‐Jun Yu
This network shows the impact of papers produced by Xiu‐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 Xiu‐Jun Yu. The network helps show where Xiu‐Jun Yu may publish in the future.
Co-authors
The 25 scholars most cited alongside Xiu‐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 27 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2002 | 208 | |
| 2 | 2010 | 154 | |
| 3 | 2003 | 132 | |
| 4 | 2015 | 87 | |
| 5 | 2005 | 69 | |
| 6 | 2002 | 63 | |
| 7 | 2015 | 59 | |
| 8 | 2016 | 51 | |
| 9 | 2003 | 51 | |
| 10 | 2004 | 47 | |
| 11 | 2014 | 40 | |
| 12 | 2023 | 38 | |
| 13 | 2011 | 34 | |
| 14 | 2018 | 29 | |
| 15 | 2012 | 28 | |
| 16 | 2011 | 19 | |
| 17 | 1997 | 16 | |
| 18 | 2021 | 15 | |
| 19 | 2013 | 14 | |
| 20 | 2021 | 8 |
About Xiu‐Jun Yu
Xiu‐Jun Yu is a scholar working on Endocrinology, Food Science, Ecology, Molecular Biology and Immunology, having authored 27 papers that have together received 1.2k indexed citations. Recurring topics across this work include Salmonella and Campylobacter epidemiology (10 papers), Escherichia coli research studies (8 papers), Vibrio bacteria research studies (6 papers), Bacteriophages and microbial interactions (5 papers), Bacterial Genetics and Biotechnology (3 papers), Aquaculture disease management and microbiota (3 papers), Amyotrophic Lateral Sclerosis Research (2 papers) and Viral gastroenteritis research and epidemiology (2 papers). The work is most often cited by research in Endocrinology (539 citations), Food Science (414 citations), Molecular Medicine (58 citations), Genetics (205 citations) and Immunology (146 citations). Xiu‐Jun Yu has collaborated with scholars based in United Kingdom, China and Japan. Frequent co-authors include David W. Holden, Mei Liu, Javier Ruiz‐Albert, Carmen R. Beuzón, Kate E. Unsworth, Edouard E. Galyov, Kieran McGourty, Keisaku Fujimoto, Kazuhisa Urushibata and Keishi Kubo. Their work appears in journals such as mBio, Infection and Immunity, Microbiology, Molecular Microbiology and Journal of Alzheimer s Disease.
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.