Jun Hayashi

5.9k total citations
215 papers, 4.5k citations indexed

About

Jun Hayashi is a scholar working on Epidemiology, Hepatology and Immunology. According to data from OpenAlex, Jun Hayashi has authored 215 papers receiving a total of 4.5k indexed citations (citations by other indexed papers that have themselves been cited), including 120 papers in Epidemiology, 105 papers in Hepatology and 40 papers in Immunology. Recurrent topics in Jun Hayashi's work include Hepatitis C virus research (97 papers), Hepatitis B Virus Studies (81 papers) and Liver Disease Diagnosis and Treatment (66 papers). Jun Hayashi is often cited by papers focused on Hepatitis C virus research (97 papers), Hepatitis B Virus Studies (81 papers) and Liver Disease Diagnosis and Treatment (66 papers). Jun Hayashi collaborates with scholars based in Japan, United States and France. Jun Hayashi's co-authors include Norihiro Furusyo, Seizaburo Kashiwagi, Hideyuki Nomura, Wataru Kajiyama, Eiichi Ogawa, Masayuki Murata, Hideyuki Ikematsu, Yasunori Sawayama, Kazuhiro Toyoda and Koya Nakashima and has published in prestigious journals such as PLoS ONE, American Journal of Clinical Nutrition and Hepatology.

In The Last Decade

Jun Hayashi

212 papers receiving 4.3k citations

Peers

Jun Hayashi
Comparison fields: 5 of 121
  • Epidemiology 2.6k
  • Hepatology 2.2k
  • Immunology 596
  • Endocrinology, Diabetes and Metabolism 520
  • Surgery 479
Replace Norihiro Furusyo with:
Norihiro Furusyo Japan
Seizaburo Kashiwagi Japan
David Wong Canada
George Ν. Dalekos Greece
Flair José Carrilho Brazil
Ulrich Baumann Germany
Antonina Smedile Italy
Giorgio Maria Saracco Italy
Alessandra Mangia Italy
Sook‐Hyang Jeong South Korea
Norihiro Furusyo Japan View profile →
Citations per field, relative to Jun Hayashi
Jun Hayashi · 1×
Citations per year, relative to Jun Hayashi
Jun Hayashi · 1×

Countries citing papers authored by Jun Hayashi

Since Specialization
Citations

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

Fields of papers citing papers by Jun Hayashi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jun Hayashi

This figure shows the co-authorship network connecting the top 25 collaborators of Jun Hayashi. A scholar is included among the top collaborators of Jun Hayashi based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Jun Hayashi. Jun Hayashi is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
# Work Indexed citations
1 1
2 12
3 37
4 11
5 8
6 4
7 3
8 2
9 3
10 44
11 36
12 51
13
[Epidemiological and clinical study for hepatitis C virus infection].
1
14 29
15 54
16 119
17 15
18 10
19
Transmission of hepatitis C virus by health care workers in a rural area of Japan.
80
20
A preliminary study of retreatment of chronic hepatitis C with interferon.
2

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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