Hideto Kojima

109 papers receiving 4.4k citations

Hideto Kojima's Hit Papers

Identification of a gene, ABCG5, important in the regulation of dietary cholesterol absorption 2001 · 544 citations
5440+8+16Years since publication100200300400500

Peers

Hideto Kojima
Comparison fields: 5 of 126
  • Endocrinology, Diabetes and Metabolism 786
  • Surgery 1.8k
  • Biochemistry 289
  • Physiology 837
  • Neurology 233
Replace Richard M. Mortensen with:
Richard M. Mortensen United States
Fred S. Gorelick United States
Peiyong Zhai United States
Carla J. Weinheimer United States
Victor E. Laubach United States
Hiroki Mizukami Japan
Zhao V. Wang United States
Joseph Satriano United States
Davide D’Amico Italy
Fadi N. Salloum United States
Hideto Kojima relative to Richard M. Mortensen United States Richard M. Mortensen's profile →
Citations per field
00.5×1.5×1.9×
Richard M. Mortensen · 1×
Citations per year

Countries citing papers authored by Hideto Kojima

Since Specialization
Citations

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

Fields of papers citing papers by Hideto Kojima

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 110 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Identification of a gene, ABCG5, important in the regulation of dietary cholesterol absorption
Hit paper breakdown →
2001544
2 2003331
3 2001283
4 2002246
5 2000201
6 2004169
7 2019159
8 2009137
9 2011123
10 2002116
11 200491
12 200786
13 199983
14 199874
15 198573
16 199873
17 198573
18 199069
19 201060
20 200558

About Hideto Kojima

Hideto Kojima is a scholar working on Surgery, Molecular Biology, Endocrinology, Diabetes and Metabolism, Physiology and Genetics, having authored 110 papers that have together received 4.6k indexed citations. Recurring topics across this work include Pancreatic function and diabetes (23 papers), Metabolism, Diabetes, and Cancer (14 papers), Diabetes Management and Research (12 papers), Diabetes and associated disorders (10 papers), Nerve injury and regeneration (10 papers), Diet, Metabolism, and Disease (10 papers), Pain Mechanisms and Treatments (9 papers) and Diabetes, Cardiovascular Risks, and Lipoproteins (9 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (786 citations), Surgery (1.8k citations), Biochemistry (289 citations), Physiology (837 citations) and Neurology (233 citations). Hideto Kojima has collaborated with scholars based in Japan, United States and Canada. Frequent co-authors include Lawrence Chan, Mineko Fujimiya, Hideki Hidaka, Tomoya Terashima, Hiroshi Maegawa, Kazuhiro Matsumura, Ryuichi Kikkawa, Atsunori Kashiwagi, Miwako Katagi and Yoshihiko Nishio. Their work appears in journals such as Diabetologia, Diabetes, Biochemical and Biophysical Research Communications, PLoS ONE and Proceedings of the National Academy of Sciences.

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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