Hideki Uedono
Impact in
- Nephrology top 5%
- Gout, Hyperuricemia, Uric Acid
- Parathyroid Disorders and Treatments
- Chronic Kidney Disease and Diabetes
- Dialysis and Renal Disease Management
- Renal Diseases and Glomerulopathies
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- Alcohol Consumption and Health Effects
Papers in
- Nephrology 21
- Parathyroid Disorders and Treatments 9
- Renal Diseases and Glomerulopathies 5
- Chronic Kidney Disease and Diabetes 4
- Gout, Hyperuricemia, Uric Acid 3
- Surgery 5
- Co-authors
- Katsuhito Mori (31 shared papers)Shinya Nakatani (29 shared papers)Masanori Emoto (27 shared papers)Akihiro Tsuda (23 shared papers)Masaaki Inaba (13 shared papers)Eiji Ishimura (15 shared papers)Junji Uchida (8 shared papers)Tatsuya Nakatani (5 shared papers)
In The Last Decade
Hideki Uedono
27 papers receiving 288 citations
Peers
Comparison fields: 5 of 51
- Nephrology 143
- Pathology and Forensic Medicine 34
- Endocrinology, Diabetes and Metabolism 29
- Genetics 39
- Nutrition and Dietetics 21
Countries citing papers authored by Hideki Uedono
This map shows the geographic impact of Hideki Uedono'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 Hideki Uedono with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hideki Uedono more than expected).
Fields of papers citing papers by Hideki Uedono
This network shows the impact of papers produced by Hideki Uedono. 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 Hideki Uedono. The network helps show where Hideki Uedono may publish in the future.
Co-authors
The 25 scholars most cited alongside Hideki Uedono, 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 31 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2015 | 35 | |
| 2 | 2018 | 33 | |
| 3 | 2017 | 30 | |
| 4 | 2018 | 23 | |
| 5 | 2022 | 20 | |
| 6 | 2020 | 19 | |
| 7 | 2019 | 18 | |
| 8 | 2023 | 17 | |
| 9 | 2016 | 11 | |
| 10 | 2023 | 10 | |
| 11 | 2021 | 10 | |
| 12 | 2021 | 9 | |
| 13 | 2024 | 9 | |
| 14 | 2022 | 9 | |
| 15 | 2022 | 5 | |
| 16 | 2024 | 5 | |
| 17 | 2020 | 5 | |
| 18 | 2024 | 4 | |
| 19 | 2024 | 3 | |
| 20 | 2024 | 3 |
About Hideki Uedono
Hideki Uedono is a scholar working on Nephrology, Surgery, Molecular Biology, Genetics and Pulmonary and Respiratory Medicine, having authored 31 papers that have together received 294 indexed citations. Recurring topics across this work include Parathyroid Disorders and Treatments (9 papers), Renal Diseases and Glomerulopathies (5 papers), Chronic Kidney Disease and Diabetes (4 papers), Genetic and Kidney Cyst Diseases (4 papers), Gout, Hyperuricemia, Uric Acid (3 papers), Biomedical Research and Pathophysiology (2 papers), Diabetes Treatment and Management (2 papers) and Trace Elements in Health (2 papers). The work is most often cited by research in Nephrology (143 citations), Pathology and Forensic Medicine (34 citations), Endocrinology, Diabetes and Metabolism (29 citations), Genetics (39 citations) and Nutrition and Dietetics (21 citations). Hideki Uedono has collaborated with scholars based in Japan and Venezuela. Frequent co-authors include Katsuhito Mori, Shinya Nakatani, Masanori Emoto, Akihiro Tsuda, Masaaki Inaba, Eiji Ishimura, Junji Uchida, Tatsuya Nakatani, Akinobu Ochi and Tomoaki Morioka. Their work appears in journals such as Kidney & Blood Pressure Research, Scientific Reports, Nutrients, Biochemical and Biophysical Research Communications and Clinical Kidney Journal.
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.