Haruka Okamoto
- Molecular Biology top 10%
- Surgery top 5%
- Endocrinology, Diabetes and Metabolism top 2%
- Physiology top 5%
- Genetics top 5%
- Co-authors
- Jesper GromadaGeorge D. YancopoulosDomenico AcciliYurong XinJinrang KimAndrew MurphyChristina AdlerMin Ni
- Topics
- Pancreatic function and diabetes (21 papers)Diabetes and associated disorders (10 papers)Metabolism, Diabetes, and Cancer (10 papers)
- Journals
- Proceedings of the National Academy of SciencesJournal of Biological ChemistryJournal of Clinical Investigation
- Partner nations
- United StatesJapanAustralia
In The Last Decade
Haruka Okamoto
41 papers receiving 2.2k citations
Hit Papers
Peers
Comparison fields: 5 of 100
- Molecular Biology 1.2k
- Surgery 993
- Endocrinology, Diabetes and Metabolism 554
- Physiology 479
- Genetics 462
Countries citing papers authored by Haruka Okamoto
This map shows the geographic impact of Haruka Okamoto'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 Haruka Okamoto with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Haruka Okamoto more than expected).
Fields of papers citing papers by Haruka Okamoto
This network shows the impact of papers produced by Haruka Okamoto. 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 Haruka Okamoto. The network helps show where Haruka Okamoto may publish in the future.
Co-authorship network of co-authors of Haruka Okamoto
This figure shows the co-authorship network connecting the top 25 collaborators of Haruka Okamoto. A scholar is included among the top collaborators of Haruka Okamoto 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 Haruka Okamoto. Haruka Okamoto is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 49 | |
| 3 | 42 | |
| 4 | 8 | |
| 5 | 1 | |
| 6 | RNA Sequencing of Single Human Islet Cells Reveals Type 2 Diabetes Genesbreakdown → | 439 |
| 7 | 79 | |
| 8 | 11 | |
| 9 | 7 | |
| 10 | 23 | |
| 11 | 26 | |
| 12 | 35 | |
| 13 | 69 | |
| 14 | 91 | |
| 15 | 84 | |
| 16 | 110 | |
| 17 | 186 | |
| 18 | 20 | |
| 19 | Reg protein may mediate gastrin-induced gastric mucosal cell proliferation in rat | 1 |
| 20 | Glucose stimulates proinsulin synthesis in pancreatic islets without a concomitant increase in proinsulin mRNA synthesis | 6 |
About Haruka Okamoto
Haruka Okamoto is a scholar working on Endocrine and Autonomic Systems, Endocrinology, Diabetes and Metabolism and Surgery, having authored 42 papers that have together received 2.3k indexed citations. Recurring topics across this work include Pancreatic function and diabetes (21 papers), Diabetes and associated disorders (10 papers) and Metabolism, Diabetes, and Cancer (10 papers). The work is most often cited by research in Endocrine and Autonomic Systems (244 citations), Endocrinology, Diabetes and Metabolism (554 citations) and Surgery (993 citations). Haruka Okamoto has collaborated with scholars based in United States, Japan and Australia. Frequent co-authors include Jesper Gromada, George D. Yancopoulos, Domenico Accili, Yurong Xin, Jinrang Kim, Andrew Murphy, Christina Adler, Min Ni, Calvin Lin and Yi Wei. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Journal of Clinical Investigation.
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.