Motohide Isono
- Molecular Biology top 5%
- Nephrology top 0.2%
- Endocrinology, Diabetes and Metabolism top 2%
- Clinical Biochemistry top 0.5%
- Cardiology and Cardiovascular Medicine top 5%
- Co-authors
- Fuad N. ZiyadehDaisuke KoyaMasakazu HanedaM. Carmen Iglesias‐de la CruzSheldon ChenToshiro SugimotoSoon Won HongBrenda B. Hoffman
- Topics
- Chronic Kidney Disease and Diabetes (19 papers)TGF-β signaling in diseases (9 papers)Renal Diseases and Glomerulopathies (6 papers)
- Journals
- Proceedings of the National Academy of SciencesJournal of Biological ChemistryDiabetes Care
- Partner nations
- JapanUnited StatesAustralia
In The Last Decade
Motohide Isono
42 papers receiving 3.6k citations
Hit Papers
Peers
Comparison fields: 5 of 103
- Molecular Biology 1.6k
- Nephrology 1.5k
- Endocrinology, Diabetes and Metabolism 589
- Clinical Biochemistry 515
- Cardiology and Cardiovascular Medicine 454
Countries citing papers authored by Motohide Isono
This map shows the geographic impact of Motohide Isono'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 Motohide Isono with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Motohide Isono more than expected).
Fields of papers citing papers by Motohide Isono
This network shows the impact of papers produced by Motohide Isono. 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 Motohide Isono. The network helps show where Motohide Isono may publish in the future.
Co-authorship network of co-authors of Motohide Isono
This figure shows the co-authorship network connecting the top 25 collaborators of Motohide Isono. A scholar is included among the top collaborators of Motohide Isono 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 Motohide Isono. Motohide Isono is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 6 | |
| 2 | 18 | |
| 3 | 8 | |
| 4 | 13 | |
| 5 | 4 | |
| 6 | 207 | |
| 7 | 18 | |
| 8 | 62 | |
| 9 | 110 | |
| 10 | 45 | |
| 11 | 101 | |
| 12 | 160 | |
| 13 | 182 | |
| 14 | 177 | |
| 15 | 109 | |
| 16 | 128 | |
| 17 | 34 | |
| 18 | 4 | |
| 19 | 24 | |
| 20 | 72 |
About Motohide Isono
Motohide Isono is a scholar working on Nephrology, Clinical Biochemistry and Endocrinology, Diabetes and Metabolism, having authored 43 papers that have together received 3.6k indexed citations. Recurring topics across this work include Chronic Kidney Disease and Diabetes (19 papers), TGF-β signaling in diseases (9 papers) and Renal Diseases and Glomerulopathies (6 papers). The work is most often cited by research in Nephrology (1.5k citations), Clinical Biochemistry (515 citations) and Geriatrics and Gerontology (218 citations). Motohide Isono has collaborated with scholars based in Japan, United States and Australia. Frequent co-authors include Fuad N. Ziyadeh, Daisuke Koya, Masakazu Haneda, M. Carmen Iglesias‐de la Cruz, Sheldon Chen, Toshiro Sugimoto, Soon Won Hong, Brenda B. Hoffman, Atsunori Kashiwagi and Shin‐ichi Araki. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Diabetes Care.
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.