Makoto Ohneda

52 papers receiving 2.5k citations

Makoto Ohneda's Hit Papers

Beta-cell lipotoxicity in the pathogenesis of non-insulin-dependent diabetes mellitus of obese rats: impairment in adipocyte-beta-cell relationships. 1994 · 684 citations
6840+10+21Years since publication200400600

Peers

Makoto Ohneda
Comparison fields: 5 of 85
  • Endocrinology, Diabetes and Metabolism 738
  • Endocrine and Autonomic Systems 291
  • Cellular and Molecular Neuroscience 533
  • Physiology 647
  • Surgery 1.0k
Replace Lisa Hahner with:
Lisa Hahner United States
Yasuhiko Okimura Japan
Yinghong Cui United States
Gerhard Böttcher Sweden
D Ganten Germany
Adam R. Kennedy United States
Diego Álvarez de la Rosa Spain
Naoko Yamauchi Japan
Heather A. Ferris United States
S. Nishi Japan
Makoto Ohneda relative to Lisa Hahner United States Lisa Hahner's profile →
Citations per field
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Citations per year

Countries citing papers authored by Makoto Ohneda

Since Specialization
Citations

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

Fields of papers citing papers by Makoto Ohneda

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 52 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Beta-cell lipotoxicity in the pathogenesis of non-insulin-dependent diabetes mellitus of obese rats: impairment in adipocyte-beta-cell relationships.
Hit paper breakdown →
1994684
2 1997241
3 1995234
4 1994141
5 1995135
6 1992124
7 1996114
8 199596
9 199293
10 199367
11 199752
12 199349
13 199439
14 199338
15 199633
16 199331
17 198730
18 198927
19 199926
20 198824

About Makoto Ohneda

Makoto Ohneda is a scholar working on Surgery, Cellular and Molecular Neuroscience, Endocrinology, Diabetes and Metabolism, Molecular Biology and Genetics, having authored 52 papers that have together received 2.6k indexed citations. Recurring topics across this work include Neuropeptides and Animal Physiology (22 papers), Pancreatic function and diabetes (17 papers), Receptor Mechanisms and Signaling (9 papers), Diabetes and associated disorders (8 papers), Metabolism, Diabetes, and Cancer (8 papers), Hormonal Regulation and Hypertension (7 papers), Adrenal and Paraganglionic Tumors (6 papers) and Diabetes Treatment and Management (6 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (738 citations), Endocrine and Autonomic Systems (291 citations), Cellular and Molecular Neuroscience (533 citations), Physiology (647 citations) and Surgery (1.0k citations). Makoto Ohneda has collaborated with scholars based in Japan, United States and New Zealand. Frequent co-authors include Roger H. Unger, John H. Johnson, Ying Lee, Julie McGarry, Hitoshi Hirose, Kazuhiro Takahashi, Kazuhito Totsune, Osamu Murakami, Toraichi Mouri and Masahiko Sone. Their work appears in journals such as Peptides, Journal of Cardiovascular Pharmacology, American Journal of Physiology-Endocrinology and Metabolism, Journal of Clinical Investigation and Clinical Science.

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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