Haruya Ohno

3.0k total citations · 2 hit papers
67 papers, 2.2k citations indexed

About

Haruya Ohno is a scholar working on Physiology, Endocrinology, Diabetes and Metabolism and Molecular Biology. According to data from OpenAlex, Haruya Ohno has authored 67 papers receiving a total of 2.2k indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Physiology, 25 papers in Endocrinology, Diabetes and Metabolism and 19 papers in Molecular Biology. Recurrent topics in Haruya Ohno's work include Adipose Tissue and Metabolism (19 papers), Hormonal Regulation and Hypertension (13 papers) and Adrenal and Paraganglionic Tumors (11 papers). Haruya Ohno is often cited by papers focused on Adipose Tissue and Metabolism (19 papers), Hormonal Regulation and Hypertension (13 papers) and Adrenal and Paraganglionic Tumors (11 papers). Haruya Ohno collaborates with scholars based in Japan, United States and Indonesia. Haruya Ohno's co-authors include Kosaku Shinoda, Shingo Kajimura, Bruce M. Spiegelman, Louis Z. Sharp, Masayasu Yoneda, Kana Ohyama, Kenji Oki, Zdena Pavlova, Larry Wang and David Scheel and has published in prestigious journals such as Nature, Proceedings of the National Academy of Sciences and Journal of Biological Chemistry.

In The Last Decade

Haruya Ohno

66 papers receiving 2.2k citations

Hit Papers

PPARγ agonists Induce a White-to-Brown Fat Conversion thr... 2012 2026 2016 2021 2012 2012 200 400 600

Peers

Haruya Ohno
Comparison fields: 5 of 107
  • Physiology 1.5k
  • Epidemiology 889
  • Molecular Biology 618
  • Cardiology and Cardiovascular Medicine 374
  • Rehabilitation 345
Replace Matthias Johannes Betz with:
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Heikki A. Koistinen Finland
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Matthias Johannes Betz Switzerland View profile →
Citations per field, relative to Haruya Ohno
Haruya Ohno · 1×
Citations per year, relative to Haruya Ohno
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Countries citing papers authored by Haruya Ohno

Since Specialization
Citations

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

Fields of papers citing papers by Haruya Ohno

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Haruya Ohno

This figure shows the co-authorship network connecting the top 25 collaborators of Haruya Ohno. A scholar is included among the top collaborators of Haruya Ohno 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 Haruya Ohno. Haruya Ohno 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 1
2 1
3 7
4 1
5 3
6 1
7 2
8 6
9 8
10 8
11 3
12 12
13 17
14 32
15 21
16 17
17 42
18
PPARγ agonists Induce a White-to-Brown Fat Conversion through Stabilization of PRDM16 Protein breakdown →
627
19
Human BAT Possesses Molecular Signatures That Resemble Beige/Brite Cells breakdown →
527
20
Insulin stimulates the expression of basic fibroblast growth factor in rat brown adipocyte primary culture.
8

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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