Jun Hayashi

2.9k citations
151 papers · 2.3k · h-index 26

Impact in

  • Hepatology top 5%
    • Hepatitis C virus research
  • Immunology top 10%
    • T-cell and Retrovirus Studies
    • T-cell and B-cell Immunology

Papers in

Jun Hayashi

136 papers receiving 2.2k citations

Peers

Jun Hayashi
Comparison fields: 5 of 116
  • Hepatology 215
  • Immunology 378
  • Immunology and Allergy 76
  • Oncology 294
  • Neurology 139
Replace Aleksander Koj with:
Aleksander Koj Poland
Eiji Uchida Japan
Hung Huynh Singapore
Jeng‐Jer Shieh Taiwan
Simcha Urieli-Shoval Israel
Reiko Yamamoto Japan
Yutaka Aoyagi Japan
Steven R. Tahan United States
Gloria Gallo United States
Bing Wan China
Jun Hayashi relative to Aleksander Koj Poland Aleksander Koj's profile →
Citations per field
00.5×5.5×
Aleksander Koj · 1×
Citations per year

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-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 151 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2002178
2 1995142
3 1988110
4
p53 null mutations undetected by immunohistochemical staining predict a poor outcome with early-stage non-small cell lung carcinomas.
199991
5 200083
6 199776
7 200471
8 200067
9 200463
10 199763
11
PC cell-derived growth factor (granulin precursor) expression and action in human multiple myeloma.
200361
12 201461
13 200853
14 198947
15 200145
16 200142
17 200441
18 201940
19 202038
20 200637

About Jun Hayashi

Jun Hayashi is a scholar working on Epidemiology, Pulmonary and Respiratory Medicine, Surgery, Molecular Biology and Immunology, having authored 151 papers that have together received 2.3k indexed citations. Recurring topics across this work include Cardiac Valve Diseases and Treatments (12 papers), Hepatitis B Virus Studies (11 papers), Aortic Disease and Treatment Approaches (11 papers), Aortic aneurysm repair treatments (9 papers), Hepatitis C virus research (8 papers), T-cell and Retrovirus Studies (7 papers), T-cell and B-cell Immunology (7 papers) and Cardiac and Coronary Surgery Techniques (7 papers). The work is most often cited by research in Hepatology (215 citations), Immunology (378 citations), Immunology and Allergy (76 citations), Oncology (294 citations) and Neurology (139 citations). Jun Hayashi has collaborated with scholars based in Japan, United States and Vietnam. Frequent co-authors include Seizaburo Kashiwagi, Ginette Serrero, Hideyuki Ikematsu, Norihiro Furusyo, Wataru Kajiyama, Naoko Kinukawa, Hideyuki Nomura, Yanming Li, K. G. Moore and Wengang Wang. Their work appears in journals such as Cellular Immunology, American Journal of Epidemiology, Cancer Research, Biochemical Journal and Interactive Cardiovascular and Thoracic Surgery.

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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