Jun Nagano

45 papers receiving 1.6k citations

Peers

Jun Nagano
Comparison fields: 5 of 119
  • Pathology and Forensic Medicine 305
  • Public Health, Environmental and Occupational Health 437
  • Nutrition and Dietetics 231
  • Biochemistry 88
  • Applied Microbiology and Biotechnology 18
Replace Wanshui Yang with:
Wanshui Yang China
Jeannette M. Schenk United States
Mark A. Moyad United States
Jay H. Fowke United States
Valeria Edefonti Italy
Kazuko Arakawa United States
Guo‐Chong Chen China
Παγώνα Λάγιου Greece
Carolyn K. Clifford United States
Anette Hjartåker Norway
Jun Nagano relative to Wanshui Yang China Wanshui Yang's profile →
Citations per field
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Citations per year

Countries citing papers authored by Jun Nagano

Since Specialization
Citations

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

Fields of papers citing papers by Jun Nagano

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 51 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2003145
2 2001145
3 2003133
4 2000117
5 2004115
6 2004113
7 2003110
8 2007108
9 200477
10 201069
11 200563
12 200859
13 201053
14 201646
15 200939
16 200437
17 200535
18
A case-control study of colorectal cancer in relation to lifestyle factors and genetic polymorphisms: design and conduct of the Fukuoka colorectal cancer study.
200535
19 200732
20 200229

About Jun Nagano

Jun Nagano is a scholar working on Oncology, Surgery, Public Health, Environmental and Occupational Health, Physiology and Cardiology and Cardiovascular Medicine, having authored 51 papers that have together received 1.8k indexed citations. Recurring topics across this work include Nutritional Studies and Diet (5 papers), Olfactory and Sensory Function Studies (4 papers), Health, psychology, and well-being (4 papers), Urban Green Space and Health (3 papers), Liver Disease Diagnosis and Treatment (3 papers), Cancer, Lipids, and Metabolism (3 papers), Cardiovascular and exercise physiology (3 papers) and Optimism, Hope, and Well-being (2 papers). The work is most often cited by research in Pathology and Forensic Medicine (305 citations), Public Health, Environmental and Occupational Health (437 citations), Nutrition and Dietetics (231 citations), Biochemistry (88 citations) and Applied Microbiology and Biotechnology (18 citations). Jun Nagano has collaborated with scholars based in Japan, United Kingdom and United States. Frequent co-authors include Catherine Sauvaget, Naomi E. Allen, Suminori Kono, Kiyóhiko Mabuchi, Mikiko Hayashi, Dale L. Preston, Kazunori Kodama, Kojiro Koyama, Nobuyuki Sudo and Kengo Toyomura. Their work appears in journals such as Cancer Causes & Control, Journal of Epidemiology, Journal of Wood Science, Cancer Epidemiology Biomarkers & Prevention and Cancer Science.

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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