Hideki Doi

51 papers receiving 2.1k citations

Peers

Hideki Doi
Comparison fields: 5 of 114
  • Endocrinology, Diabetes and Metabolism 352
  • Biochemistry 132
  • Cardiology and Cardiovascular Medicine 407
  • Cancer Research 248
  • Cellular and Molecular Neuroscience 234
Replace Masako Mitsumata with:
Masako Mitsumata Japan
Helena E. Miettinen Finland
Alykhan S. Motani United States
Viktor M. Brovkovych United States
Michael B. Stemerman United States
David L. Crandall United States
Clara E. Magyar United States
Shin-ichiro Miura Japan
Héctor De León United States
Jianguo Jin United States
Hideki Doi relative to Masako Mitsumata Japan Masako Mitsumata's profile →
Citations per field
00.5×1.5×1.9×
Masako Mitsumata · 1×
Citations per year

Countries citing papers authored by Hideki Doi

Since Specialization
Citations

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

Fields of papers citing papers by Hideki Doi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 53 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1999254
2 1999224
3 2000194
4 1998162
5 2012133
6 1997132
7 1998111
8 200899
9 199878
10 200071
11 201069
12 199953
13 201351
14 199951
15 201348
16 199947
17 198441
18 200034
19 199634
20 201433

About Hideki Doi

Hideki Doi is a scholar working on Cellular and Molecular Neuroscience, Genetics, Biochemistry, Surgery and Cardiology and Cardiovascular Medicine, having authored 53 papers that have together received 2.2k indexed citations. Recurring topics across this work include Muscle Physiology and Disorders (7 papers), Genetic Neurodegenerative Diseases (7 papers), Antioxidant Activity and Oxidative Stress (4 papers), Neurogenetic and Muscular Disorders Research (4 papers), Physics of Superconductivity and Magnetism (4 papers), Nitric Oxide and Endothelin Effects (3 papers), Fatty Acid Research and Health (3 papers) and Cardiovascular, Neuropeptides, and Oxidative Stress Research (3 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (352 citations), Biochemistry (132 citations), Cardiology and Cardiovascular Medicine (407 citations), Cancer Research (248 citations) and Cellular and Molecular Neuroscience (234 citations). Hideki Doi has collaborated with scholars based in Japan, United States and Greece. Frequent co-authors include Hirofumi Yasue, Seigo Sugiyama, Kiyotaka Kugiyama, Hideki Oka, Toshiyuki Matsumura, Nobuhiko Ogata, Hirofumi Soejima, Yasutaka Ota, Hisao Ogawa and Hiroaki Kawano. Their work appears in journals such as Atherosclerosis, Circulation, Japanese Journal of Applied Physics, Arteriosclerosis Thrombosis and Vascular Biology and Journal of Neuroscience.

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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