Akihiro Kuma
Impact in
- Nephrology top 5%
- Chronic Kidney Disease and Diabetes
- Dialysis and Renal Disease Management
- Gout, Hyperuricemia, Uric Acid
- Renal Diseases and Glomerulopathies
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- Galectins and Cancer Biology
Papers in
- Nephrology 11
- Chronic Kidney Disease and Diabetes 4
- Gout, Hyperuricemia, Uric Acid 3
- Parathyroid Disorders and Treatments 3
- Renal Diseases and Glomerulopathies 2
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- Glycosylation and Glycoproteins Research 2
- Renal and related cancers 2
- Co-authors
- Akihiko Kato (6 shared papers)Hiroto Izumi (7 shared papers)Kimitoshi Kohno (6 shared papers)Yutaka Otsuji (7 shared papers)Masahito Tamura (7 shared papers)Sohsuke Yamada (4 shared papers)Ke‐Yong Wang (4 shared papers)Shohei Kitada (2 shared papers)
- Journals
- BMC Nephrology (3 papers)The FASEB Journal (1 paper)Frontiers in Physiology (1 paper)PLoS ONE (1 paper)Journal of Nephrology (1 paper)
- Partner nations
- JapanUnited StatesChina
In The Last Decade
Akihiro Kuma
22 papers receiving 288 citations
Peers
Comparison fields: 5 of 58
- Nephrology 78
- Immunology 40
- Molecular Biology 118
- Cancer Research 22
- Cell Biology 21
Countries citing papers authored by Akihiro Kuma
This map shows the geographic impact of Akihiro Kuma'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 Akihiro Kuma with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Akihiro Kuma more than expected).
Fields of papers citing papers by Akihiro Kuma
This network shows the impact of papers produced by Akihiro Kuma. 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 Akihiro Kuma. The network helps show where Akihiro Kuma may publish in the future.
Co-authors
The 25 scholars most cited alongside Akihiro Kuma, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 23 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2013 | 57 | |
| 2 | 2022 | 30 | |
| 3 | 2017 | 26 | |
| 4 | 2015 | 24 | |
| 5 | 2015 | 21 | |
| 6 | 2011 | 19 | |
| 7 | 2021 | 16 | |
| 8 | 2018 | 14 | |
| 9 | 2016 | 13 | |
| 10 | 2014 | 12 | |
| 11 | 2020 | 11 | |
| 12 | 2022 | 8 | |
| 13 | 2014 | 8 | |
| 14 | 2021 | 5 | |
| 15 | 2016 | 5 | |
| 16 | 2021 | 5 | |
| 17 | 2015 | 5 | |
| 18 | 2022 | 4 | |
| 19 | 2020 | 4 | |
| 20 | 2016 | 4 |
About Akihiro Kuma
Akihiro Kuma is a scholar working on Nephrology, Molecular Biology, Pulmonary and Respiratory Medicine, Epidemiology and Immunology, having authored 23 papers that have together received 293 indexed citations. Recurring topics across this work include Chronic Kidney Disease and Diabetes (4 papers), Gout, Hyperuricemia, Uric Acid (3 papers), Liver Disease Diagnosis and Treatment (3 papers), Kidney Stones and Urolithiasis Treatments (3 papers), Parathyroid Disorders and Treatments (3 papers), Glycosylation and Glycoproteins Research (2 papers), Renal and related cancers (2 papers) and Renal Diseases and Glomerulopathies (2 papers). The work is most often cited by research in Nephrology (78 citations), Immunology (40 citations), Molecular Biology (118 citations), Cancer Research (22 citations) and Cell Biology (21 citations). Akihiro Kuma has collaborated with scholars based in Japan, United States and China. Frequent co-authors include Akihiko Kato, Hiroto Izumi, Kimitoshi Kohno, Yutaka Otsuji, Masahito Tamura, Sohsuke Yamada, Ke‐Yong Wang, Shohei Kitada, Noriaki Kitamura and Yasuyuki Sasaguri. Their work appears in journals such as BMC Nephrology, The FASEB Journal, Frontiers in Physiology, PLoS ONE and Journal of Nephrology.
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.