Hitoshi Ikeda

414 papers receiving 10.2k citations

Peers

Hitoshi Ikeda
Comparison fields: 5 of 154
  • Hepatology 1.0k
  • Endocrine and Autonomic Systems 593
  • Endocrinology, Diabetes and Metabolism 946
  • Cell Biology 962
  • Molecular Biology 3.8k
Replace Wouter H. Lamers with:
Wouter H. Lamers Netherlands
Wataru Ogawa Japan
Hisashi Hidaka Japan
John A. Wagner United States
Lisardo Boscá Spain
Jöerg Heeren Germany
Kiyoshi Mori Japan
Je Kyung Seong South Korea
Raymond C. Koehler United States
Hisao Ito Japan
Hitoshi Ikeda relative to Wouter H. Lamers Netherlands Wouter H. Lamers's profile →
Citations per field
00.5×1.5×2.2×
Wouter H. Lamers · 1×
Citations per year

Countries citing papers authored by Hitoshi Ikeda

Since Specialization
Citations

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

Fields of papers citing papers by Hitoshi Ikeda

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 426 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2009307
2 1991260
3 1986194
4 1987182
5 1981173
6 2002172
7 2007158
8 2010154
9
Effects of pioglitazone on glucose and lipid metabolism in normal and insulin resistant animals.
1990143
10 2002141
11 1999132
12 1985119
13 2007109
14 2008107
15 1996102
16 200895
17 200795
18 200793
19 201190
20 197987

About Hitoshi Ikeda

Hitoshi Ikeda is a scholar working on Molecular Biology, Surgery, Epidemiology, Physiology and Immunology, having authored 426 papers that have together received 10.5k indexed citations. Recurring topics across this work include Sphingolipid Metabolism and Signaling (51 papers), Liver Disease Diagnosis and Treatment (29 papers), Adipose Tissue and Metabolism (24 papers), T-cell and B-cell Immunology (21 papers), Liver physiology and pathology (20 papers), T-cell and Retrovirus Studies (20 papers), Pancreatic function and diabetes (20 papers) and Neuroblastoma Research and Treatments (19 papers). The work is most often cited by research in Hepatology (1.0k citations), Endocrine and Autonomic Systems (593 citations), Endocrinology, Diabetes and Metabolism (946 citations), Cell Biology (962 citations) and Molecular Biology (3.8k citations). Hitoshi Ikeda has collaborated with scholars based in Japan, United States and United Kingdom. Frequent co-authors include Yutaka Yatomi, Kenji Fujiwara, Hiroyuki Odaka, Masao Omata, Takashi Sohda, Makoto Kurano, Junken Aoki, Katsuya Nobuhara, Ryunosuke Ohkawa and Kanji Meguro. Their work appears in journals such as Journal of Pediatric Surgery, Biochemical and Biophysical Research Communications, Scientific Reports, Clinica Chimica Acta and Journal of Gastroenterology.

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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