Masayuki Iwano
- Nephrology top 0.1%
- Renal Diseases and Glomerulopathies 36
- Chronic Kidney Disease and Diabetes 23
- Parathyroid Disorders and Treatments 8
- Dialysis and Renal Disease Management 6
- Cancer Research top 2%
- Immunology top 2%
- Molecular Biology top 2%
- Rheumatology top 1%
- Systemic Lupus Erythematosus Research 19
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- Cell Adhesion Molecules Research 7
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- Hormonal Regulation and Hypertension 6
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- Coagulation, Bradykinin, Polyphosphates, and Angioedema 6
- Co-authors
- Eric G. NeilsonHirokazu OkadaDavid PliethTheodore M. DanoffChengsen XueYasuhiro AkaiKazuhiro DohiKuniko Kimura
- Cited by
- NephrologyCancer ResearchImmunology
- Journals
- Circulation (1 paper)Journal of Clinical Investigation (4 papers)The Journal of Immunology (1 paper)
- Partner nations
- JapanUnited StatesUnited Kingdom
In The Last Decade
Masayuki Iwano
134 papers receiving 8.3k citations
Hit Papers
Peers
Comparison fields: 5 of 128
- Nephrology 2.6k
- Cancer Research 998
- Immunology 1.2k
- Molecular Biology 3.4k
- Rheumatology 700
Countries citing papers authored by Masayuki Iwano
This map shows the geographic impact of Masayuki Iwano'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 Masayuki Iwano with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Masayuki Iwano more than expected).
Fields of papers citing papers by Masayuki Iwano
This network shows the impact of papers produced by Masayuki Iwano. 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 Masayuki Iwano. The network helps show where Masayuki Iwano may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Masayuki Iwano, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 1 | |
| 2 | 2023 | 3 | |
| 3 | 2023 | 1 | |
| 4 | 2021 | 4 | |
| 5 | 2018 | 27 | |
| 6 | 2018 | 14 | |
| 7 | 2017 | 7 | |
| 8 | 2015 | 4 | |
| 9 | 2015 | 2 | |
| 10 | 2014 | 13 | |
| 11 | 2013 | 8 | |
| 12 | 2012 | 20 | |
| 13 | 2011 | 39 | |
| 14 | 2009 | 2 | |
| 15 | 2009 | 32 | |
| 16 | Hypoxia promotes fibrogenesis in vivo via HIF-1 stimulation of epithelial-to-mesenchymal transitionbreakdown → | 2007 | 828 |
| 17 | 2005 | 89 | |
| 18 | 1998 | 50 | |
| 19 | 1996 | 7 | |
| 20 | 1990 | 1 |
About Masayuki Iwano
Masayuki Iwano is a scholar working on Nephrology, Rheumatology and Pathology and Forensic Medicine, having authored 138 papers that have together received 8.4k indexed citations. Recurring topics across this work include Renal Diseases and Glomerulopathies (36 papers), Chronic Kidney Disease and Diabetes (23 papers), Systemic Lupus Erythematosus Research (19 papers), Parathyroid Disorders and Treatments (8 papers), Cell Adhesion Molecules Research (7 papers), Dialysis and Renal Disease Management (6 papers), Hormonal Regulation and Hypertension (6 papers) and Coagulation, Bradykinin, Polyphosphates, and Angioedema (6 papers). The work is most often cited by research in Nephrology (2.6k citations), Cancer Research (998 citations) and Immunology (1.2k citations). Masayuki Iwano has collaborated with scholars based in Japan, United States and United Kingdom. Frequent co-authors include Eric G. Neilson, Hirokazu Okada, David Plieth, Theodore M. Danoff, Chengsen Xue, Yasuhiro Akai, Kazuhiro Dohi, Kuniko Kimura, Debra F. Higgins and Volker H. Haase. Their work appears in journals such as Circulation, Journal of Clinical Investigation and The Journal of Immunology.
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.