Makoto Ohneda

3.1k total citations · 1 hit paper
52 papers, 2.6k citations indexed

About

Makoto Ohneda is a scholar working on Surgery, Cellular and Molecular Neuroscience and Endocrinology, Diabetes and Metabolism. According to data from OpenAlex, Makoto Ohneda has authored 52 papers receiving a total of 2.6k indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Surgery, 23 papers in Cellular and Molecular Neuroscience and 22 papers in Endocrinology, Diabetes and Metabolism. Recurrent topics in Makoto Ohneda's work include Neuropeptides and Animal Physiology (22 papers), Pancreatic function and diabetes (17 papers) and Receptor Mechanisms and Signaling (9 papers). Makoto Ohneda is often cited by papers focused on Neuropeptides and Animal Physiology (22 papers), Pancreatic function and diabetes (17 papers) and Receptor Mechanisms and Signaling (9 papers). Makoto Ohneda collaborates with scholars based in Japan, United States and New Zealand. Makoto Ohneda's co-authors include Roger H. Unger, John H. Johnson, Ying Lee, Julie McGarry, Hitoshi Hirose, Kazuhiro Takahashi, Kazuhito Totsune, Toraichi Mouri, Osamu Murakami and Masahiko Sone and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Journal of Clinical Investigation.

In The Last Decade

Makoto Ohneda

52 papers receiving 2.5k citations

Hit Papers

Beta-cell lipotoxicity in the pathogenesis of non-insulin... 1994 2026 2004 2015 1994 200 400 600

Peers

Makoto Ohneda
Comparison fields: 5 of 86
  • Surgery 1.1k
  • Molecular Biology 1.0k
  • Endocrinology, Diabetes and Metabolism 865
  • Physiology 727
  • Cellular and Molecular Neuroscience 543
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Citations per field, relative to Makoto Ohneda
Makoto Ohneda · 1×
Citations per year, relative to Makoto Ohneda
Makoto Ohneda · 1×

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-authorship network of co-authors of Makoto Ohneda

This figure shows the co-authorship network connecting the top 25 collaborators of Makoto Ohneda. A scholar is included among the top collaborators of Makoto Ohneda based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Makoto Ohneda. Makoto Ohneda is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
# Work Indexed citations
1 27
2 52
3 22
4 33
5 14
6 39
7 13
8 23
9
Beta-cell lipotoxicity in the pathogenesis of non-insulin-dependent diabetes mellitus of obese rats: impairment in adipocyte-beta-cell relationships. breakdown →
682
10
The structure-function relationship of GLP-1-related peptides in the endocrine function of the pancreas
2
11 49
12 19
13 3
14 93
15 123
16 1
17 12
18 27
19 24
20 30

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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2026