Keiichi Ishihara

69 papers receiving 1.6k citations

Peers

Keiichi Ishihara
Comparison fields: 5 of 120
  • Aging 35
  • Molecular Biology 827
  • Physiology 220
  • Cell Biology 136
  • Cardiology and Cardiovascular Medicine 156
Replace Masato Yano with:
Masato Yano Japan
Julia M. Corton United Kingdom
Graciela Piwien‐Pilipuk Argentina
Brigitte Gaume United States
Lori L. Bonnycastle United States
Nicola Vahsen France
Georges Stepien France
Alfonso Mora Spain
Rosella Scrima Italy
Heather Towery United States
Keiichi Ishihara relative to Masato Yano Japan Masato Yano's profile →
Citations per field
00.5×1.6×
Masato Yano · 1×
Citations per year

Countries citing papers authored by Keiichi Ishihara

Since Specialization
Citations

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

Fields of papers citing papers by Keiichi Ishihara

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 72 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1993261
2 200989
3 200369
4 199961
5 200958
6 201153
7 200953
8 200346
9 200445
10 201345
11 201141
12 201540
13 200637
14 201233
15 201333
16 201933
17 201532
18 200931
19 200229
20 201728

About Keiichi Ishihara

Keiichi Ishihara is a scholar working on Molecular Biology, Public Health, Environmental and Occupational Health, Immunology, Epidemiology and Physiology, having authored 72 papers that have together received 1.6k indexed citations. Recurring topics across this work include Heat shock proteins research (18 papers), Down syndrome and intellectual disability research (14 papers), Liver Disease Diagnosis and Treatment (8 papers), thermodynamics and calorimetric analyses (6 papers), Genetics and Neurodevelopmental Disorders (5 papers), Medical Imaging Techniques and Applications (5 papers), Liver Disease and Transplantation (5 papers) and Liver physiology and pathology (4 papers). The work is most often cited by research in Aging (35 citations), Molecular Biology (827 citations), Physiology (220 citations), Cell Biology (136 citations) and Cardiology and Cardiovascular Medicine (156 citations). Keiichi Ishihara has collaborated with scholars based in Japan, United States and Singapore. Frequent co-authors include Takumi Hatayama, Nobuyuki Yamagishi, Youhei Saito, Satoshi Akiba, H E Shubeita, Joan Heller Brown, Martin C. Michel, Kenneth R. Chien, Kirk U. Knowlton and Shin‐ichiro Kumita. Their work appears in journals such as Biochemical and Biophysical Research Communications, Biological and Pharmaceutical Bulletin, Journal of Biological Chemistry, European Journal of Biochemistry and Journal of Nuclear Cardiology.

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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