Xiu‐Jun Yu

1.5k citations
25 papers · 1.1k indexed · h-index 17

Impact in

  • Endocrinology top 0.5%
    • Vibrio bacteria research studies
    • Escherichia coli research studies
    • Salmonella and Campylobacter epidemiology

Papers in

    • Escherichia coli research studies 8
    • Vibrio bacteria research studies 7
    • Salmonella and Campylobacter epidemiology 11

Xiu‐Jun Yu

24 papers receiving 1.1k citations

Peers

Xiu‐Jun Yu
Comparison fields: 5 of 89
  • Endocrinology 545
  • Food Science 410
  • Endocrine and Autonomic Systems 88
  • Molecular Medicine 60
  • Genetics 218
Replace Jérémy Denizot with:
Jérémy Denizot France
Lynne S. Cairns United Kingdom
Roney S. Coimbra Brazil
Bertrand Kaeffer France
Karen H. Berger United States
María Álvarez Sánchez United States
D K Rabert United States
Laurence Zulianello Netherlands
Jan Burghoorn Sweden
Danny S. Park United States
Xiu‐Jun Yu relative to Jérémy Denizot France Jérémy Denizot's profile →
Citations per field
00.5×
Jérémy Denizot · 1×
Citations per year

Countries citing papers authored by Xiu‐Jun Yu

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Xiu‐Jun Yu Line = papers co-authored together Xiu‐Jun Yu links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20251
2 20251
3 20241
4 20243
5 20240
6 202334
7 20218
8 202114
9 201827
10 201584
11 201555
12 201228
13 201119
14 201133
15 2010152
16 200445
17 2003131
18 2002208
19 200262
20 199716

About Xiu‐Jun Yu

Xiu‐Jun Yu is a scholar working on Endocrinology, Food Science, Developmental Neuroscience, Immunology and Neurology, having authored 25 papers that have together received 1.1k indexed citations. Recurring topics across this work include Salmonella and Campylobacter epidemiology (11 papers), Escherichia coli research studies (8 papers), Vibrio bacteria research studies (7 papers), Bacteriophages and microbial interactions (4 papers), Aquaculture disease management and microbiota (3 papers), Viral gastroenteritis research and epidemiology (2 papers), Parkinson's Disease Mechanisms and Treatments (2 papers) and Amyotrophic Lateral Sclerosis Research (2 papers). The work is most often cited by research in Endocrinology (545 citations), Food Science (410 citations), Endocrine and Autonomic Systems (88 citations), Molecular Medicine (60 citations) and Genetics (218 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 Y. Matsuzawa. Their work appears in journals such as Infection and Immunity, mBio, Molecular Microbiology, Microbiology and Journal of Structural Biology.

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.

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