Hiroki Yokoyama
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- Diabetes Treatment and Management 53
- Diabetes Management and Research 29
- Diabetes, Cardiovascular Risks, and Lipoproteins 21
- Nephrology top 0.5%
- Chronic Kidney Disease and Diabetes 20
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- Blood Pressure and Hypertension Studies 12
- Clinical Biochemistry top 5%
- Hematology top 5%
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- Metabolism, Diabetes, and Cancer 20
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- Diabetes and associated disorders 14
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- Diet and metabolism studies 11
- Co-authors
- S. D. BrorsonT. DeckertYasuko UchigataToshika OtaniHirohito SoneJan Skov JensenMaki OkudairaNaoto Katakami
- Partner nations
- JapanDenmarkUnited States
In The Last Decade
Hiroki Yokoyama
171 papers receiving 3.9k citations
Peers
Comparison fields: 5 of 130
- Endocrinology, Diabetes and Metabolism 1.6k
- Nephrology 683
- Cardiology and Cardiovascular Medicine 750
- Clinical Biochemistry 135
- Hematology 211
Countries citing papers authored by Hiroki Yokoyama
This map shows the geographic impact of Hiroki Yokoyama'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 Hiroki Yokoyama with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hiroki Yokoyama more than expected).
Fields of papers citing papers by Hiroki Yokoyama
This network shows the impact of papers produced by Hiroki Yokoyama. 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 Hiroki Yokoyama. The network helps show where Hiroki Yokoyama may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Hiroki Yokoyama, 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 | 0 | |
| 2 | 2024 | 2 | |
| 3 | 2024 | 2 | |
| 4 | 2023 | 0 | |
| 5 | 2023 | 8 | |
| 6 | 2023 | 20 | |
| 7 | 2023 | 4 | |
| 8 | 2023 | 9 | |
| 9 | 2023 | 1 | |
| 10 | 2022 | 3 | |
| 11 | 2022 | 1 | |
| 12 | 2021 | 1 | |
| 13 | 2020 | 1 | |
| 14 | 2018 | 27 | |
| 15 | 2018 | 24 | |
| 16 | 2012 | 39 | |
| 17 | 1997 | 117 | |
| 18 | 1991 | 1 | |
| 19 | 1990 | 1 | |
| 20 | The effects of left heart bypass (LHB) on left ventricular function and limitation of myocardial infarct size during reperfusion after LAD occlusion. | 1987 | 2 |
About Hiroki Yokoyama
Hiroki Yokoyama is a scholar working on Endocrinology, Diabetes and Metabolism, Nephrology and Hematology, having authored 185 papers that have together received 4.1k indexed citations. Recurring topics across this work include Diabetes Treatment and Management (53 papers), Diabetes Management and Research (29 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (21 papers), Metabolism, Diabetes, and Cancer (20 papers), Chronic Kidney Disease and Diabetes (20 papers), Diabetes and associated disorders (14 papers), Blood Pressure and Hypertension Studies (12 papers) and Diet and metabolism studies (11 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (1.6k citations), Nephrology (683 citations) and Cardiology and Cardiovascular Medicine (750 citations). Hiroki Yokoyama has collaborated with scholars based in Japan, Denmark and United States. Frequent co-authors include S. D. Brorson, T. Deckert, Yasuko Uchigata, Toshika Otani, Hirohito Sone, Jan Skov Jensen, Maki Okudaira, Naoto Katakami, Koichi Kawai and Yasue Omori. Their work appears in journals such as Journal of Clinical Oncology, Blood and Applied Physics Letters.
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.