Tetsuo Shoji
- Nephrology top 0.1%
- Dialysis and Renal Disease Management 57
- Parathyroid Disorders and Treatments 37
- Chronic Kidney Disease and Diabetes 16
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- Cardiovascular Health and Disease Prevention 46
- Blood Pressure and Hypertension Studies 25
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- Diabetes, Cardiovascular Risks, and Lipoproteins 37
- Clinical Biochemistry top 0.5%
- Physiology top 1%
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- Adipokines, Inflammation, and Metabolic Diseases 31
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- Lipoproteins and Cardiovascular Health 14
- Co-authors
- Yoshiki NishizawàMasanori EmotoMasaaki InabaHidenori KoyamaEiji IshimuraTsutomu TabataKayo ShinoharaTakahiko Kawagishi
- Partner nations
- JapanUnited StatesGermany
In The Last Decade
Tetsuo Shoji
243 papers receiving 10.2k citations
Hit Papers
Peers
Comparison fields: 5 of 143
- Nephrology 3.2k
- Cardiology and Cardiovascular Medicine 3.9k
- Endocrinology, Diabetes and Metabolism 2.5k
- Clinical Biochemistry 691
- Physiology 1.4k
Countries citing papers authored by Tetsuo Shoji
This map shows the geographic impact of Tetsuo Shoji'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 Tetsuo Shoji with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tetsuo Shoji more than expected).
Fields of papers citing papers by Tetsuo Shoji
This network shows the impact of papers produced by Tetsuo Shoji. 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 Tetsuo Shoji. The network helps show where Tetsuo Shoji may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Tetsuo Shoji, 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 | 2024 | 0 | |
| 2 | 2023 | 1 | |
| 3 | 2022 | 5 | |
| 4 | 2021 | 8 | |
| 5 | 2014 | 22 | |
| 6 | 2012 | 14 | |
| 7 | 2010 | 131 | |
| 8 | 2010 | 43 | |
| 9 | 2010 | 23 | |
| 10 | 2009 | 54 | |
| 11 | 2007 | 29 | |
| 12 | 2007 | 22 | |
| 13 | 2005 | 3 | |
| 14 | 2005 | 44 | |
| 15 | 2004 | 109 | |
| 16 | 2004 | 11 | |
| 17 | 2004 | 80 | |
| 18 | 1998 | 48 | |
| 19 | 1992 | 19 | |
| 20 | 1991 | 7 |
About Tetsuo Shoji
Tetsuo Shoji is a scholar working on Nephrology, Endocrinology, Diabetes and Metabolism and Cardiology and Cardiovascular Medicine, having authored 252 papers that have together received 10.5k indexed citations. Recurring topics across this work include Dialysis and Renal Disease Management (57 papers), Cardiovascular Health and Disease Prevention (46 papers), Parathyroid Disorders and Treatments (37 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (37 papers), Adipokines, Inflammation, and Metabolic Diseases (31 papers), Blood Pressure and Hypertension Studies (25 papers), Chronic Kidney Disease and Diabetes (16 papers) and Lipoproteins and Cardiovascular Health (14 papers). The work is most often cited by research in Nephrology (3.2k citations), Cardiology and Cardiovascular Medicine (3.9k citations) and Endocrinology, Diabetes and Metabolism (2.5k citations). Tetsuo Shoji has collaborated with scholars based in Japan, United States and Germany. Frequent co-authors include Yoshiki Nishizawà, Masanori Emoto, Masaaki Inaba, Hidenori Koyama, Eiji Ishimura, Tsutomu Tabata, Kayo Shinohara, Takahiko Kawagishi, Hideki Tahara and Katsuhito Mori. Their work appears in journals such as The Lancet, Circulation and Journal of Clinical Investigation.
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.