Tomohito Doke
Impact in
- Nephrology top 2%
- Chronic Kidney Disease and Diabetes
- Renal Diseases and Glomerulopathies
- Acute Kidney Injury Research
- Clinical Biochemistry top 10%
Papers in
-
- Renal and related cancers 3
- Epigenetics and DNA Methylation 2
- Nephrology 10
- Chronic Kidney Disease and Diabetes 8
- Renal Diseases and Glomerulopathies 5
- Co-authors
- Katalin Suszták (14 shared papers)Dhanunjay Mukhi (7 shared papers)Hailong Hu (4 shared papers)Poonam Dhillon (3 shared papers)Ziyuan Ma (5 shared papers)Amin Abedini (6 shared papers)Hongbo Liu (8 shared papers)Xin Sheng (4 shared papers)
- Journals
- Journal of Clinical Investigation (4 papers)Journal of the American Society of Nephrology (3 papers)Molecular Therapy — Nucleic Acids (2 papers)Nature Genetics (1 paper)Analytical Chemistry (1 paper)
- Partner nations
- United StatesJapanCanada
In The Last Decade
Tomohito Doke
22 papers receiving 928 citations
Hit Papers
Peers
Comparison fields: 5 of 90
- Nephrology 328
- Clinical Biochemistry 59
- Cancer Research 108
- Endocrinology, Diabetes and Metabolism 111
- Molecular Biology 427
Countries citing papers authored by Tomohito Doke
This map shows the geographic impact of Tomohito Doke'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 Tomohito Doke with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tomohito Doke more than expected).
Fields of papers citing papers by Tomohito Doke
This network shows the impact of papers produced by Tomohito Doke. 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 Tomohito Doke. The network helps show where Tomohito Doke may publish in the future.
Co-authors
The 25 scholars most cited alongside Tomohito Doke, 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 24 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Molecular pathways that drive diabetic kidney disease Hit paper breakdown → | 2023 | 202 |
| 2 | 2022 | 116 | |
| 3 | 2022 | 102 | |
| 4 | 2022 | 90 | |
| 5 | 2022 | 75 | |
| 6 | 2023 | 62 | |
| 7 | 2021 | 50 | |
| 8 | 2016 | 38 | |
| 9 | 2024 | 33 | |
| 10 | 2023 | 26 | |
| 11 | 2023 | 22 | |
| 12 | 2023 | 22 | |
| 13 | 2021 | 22 | |
| 14 | 2020 | 20 | |
| 15 | 2018 | 18 | |
| 16 | 2019 | 15 | |
| 17 | 2022 | 13 | |
| 18 | 2016 | 4 | |
| 19 | 2025 | 3 | |
| 20 | 2024 | 2 |
About Tomohito Doke
Tomohito Doke is a scholar working on Molecular Biology, Nephrology, Epidemiology, Endocrinology, Diabetes and Metabolism and Pulmonary and Respiratory Medicine, having authored 24 papers that have together received 937 indexed citations. Recurring topics across this work include Chronic Kidney Disease and Diabetes (8 papers), Liver Disease Diagnosis and Treatment (5 papers), Renal Diseases and Glomerulopathies (5 papers), Diet, Metabolism, and Disease (3 papers), Renal and related cancers (3 papers), Diet and metabolism studies (3 papers), Metabolism and Genetic Disorders (2 papers) and Epigenetics and DNA Methylation (2 papers). The work is most often cited by research in Nephrology (328 citations), Clinical Biochemistry (59 citations), Cancer Research (108 citations), Endocrinology, Diabetes and Metabolism (111 citations) and Molecular Biology (427 citations). Tomohito Doke has collaborated with scholars based in United States, Japan and Canada. Frequent co-authors include Katalin Suszták, Dhanunjay Mukhi, Hailong Hu, Poonam Dhillon, Ziyuan Ma, Amin Abedini, Hongbo Liu, Xin Sheng, Michael S. Balzer and Christopher A. Hunter. Their work appears in journals such as Journal of Clinical Investigation, Journal of the American Society of Nephrology, Molecular Therapy — Nucleic Acids, Nature Genetics and Analytical Chemistry.
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.