Jun Terajima

3.2k citations
108 papers · 2.5k indexed · h-index 31
  • Endocrinology top 0.1%
    • Escherichia coli research studies 59
    • Enterobacteriaceae and Cronobacter Research 26
    • Vibrio bacteria research studies 14
    • Antibiotic Resistance in Bacteria 9
  • Food Science top 0.5%
    • Salmonella and Campylobacter epidemiology 44
    • Viral gastroenteritis research and epidemiology 36
    • Listeria monocytogenes in Food Safety 8
    • Bacteriophages and microbial interactions 30

Jun Terajima

105 papers receiving 2.4k citations

Peers

Jun Terajima
Comparison fields: 5 of 91
  • Endocrinology 1.6k
  • Molecular Medicine 322
  • Food Science 1.1k
  • Infectious Diseases 932
  • Biotechnology 258
Replace Catherine A. Lee with:
Catherine A. Lee United States
Helene Andrews‐Polymenis United States
Eduardo N. Taboada Canada
Christoph J. Hueck Germany
D G Guiney United States
Waldir P. Elias Brazil
Peter Roggentin Germany
Juan Xicohtencatl‐Cortés Mexico
Toru Tobe Japan
Michael W. Heuzenroeder Australia
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Citations per field
00.5×1.5×
Catherine A. Lee · 1×
Citations per year

Countries citing papers authored by Jun Terajima

Since Specialization
Citations

This map shows the geographic impact of Jun Terajima'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 Terajima with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jun Terajima more than expected).

Fields of papers citing papers by Jun Terajima

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jun Terajima. 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 Terajima. The network helps show where Jun Terajima may publish in the future.

Co-authorship network

The 25 scholars most cited alongside Jun Terajima, 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 Jun Terajima Line = papers co-authored together Jun Terajima links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 201917
2 201634
3 20104
4 20090
5 200922
6 200928
7 200817
8 20070
9 200613
10 200610
11 2006132
12 20059
13 200317
14 2002139
15 20022
16 200037
17 199911
18 199818
19 199211
20 19928

About Jun Terajima

Jun Terajima is a scholar working on Endocrinology, Food Science and Infectious Diseases, having authored 108 papers that have together received 2.5k indexed citations. Recurring topics across this work include Escherichia coli research studies (59 papers), Salmonella and Campylobacter epidemiology (44 papers), Viral gastroenteritis research and epidemiology (36 papers), Bacteriophages and microbial interactions (30 papers), Enterobacteriaceae and Cronobacter Research (26 papers), Vibrio bacteria research studies (14 papers), Antibiotic Resistance in Bacteria (9 papers) and Listeria monocytogenes in Food Safety (8 papers). The work is most often cited by research in Endocrinology (1.6k citations), Molecular Medicine (322 citations) and Food Science (1.1k citations). Jun Terajima has collaborated with scholars based in Japan, United States and Taiwan. Frequent co-authors include Haruo Watanabe, Hidemasa Izumiya, Makoto Ohnishi, Kazumichi Tamura, Sunao Iyoda, Tetsuya Hayashi, Eiji Arakawa, Ro Osawa, Yoshitoshi Ogura and Keisuke Nakayama. Their work appears in journals such as Journal of Clinical Microbiology, Epidemiology and Infection, Infection and Immunity, International Journal of Food Microbiology and Antimicrobial Agents and Chemotherapy.

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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