Shuichi Yatsuga
- Clinical Biochemistry top 0.5%
- Metabolism and Genetic Disorders 4
- Aging top 5%
- Molecular Biology top 5%
- Mitochondrial Function and Pathology 13
- Sexual Differentiation and Disorders 5
- ATP Synthase and ATPases Research 4
- Rheumatology top 5%
- GDF15 and Related Biomarkers 7
- Physiology top 5%
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- Hypothalamic control of reproductive hormones 5
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- Genetic and Clinical Aspects of Sex Determination and Chromosomal Abnormalities 4
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- Growth Hormone and Insulin-like Growth Factors 4
- Co-authors
- Yasutoshi KogaToyojiro MatsuishiNataliya PovalkoAnu SuomalainenJunko NishiokaYukihiro AkitaTatsuyuki KakumaYasunori Fujita
- Journals
- SHILAP Revista de lepidopterología (2 papers)The Journal of Clinical Endocrinology & Metabolism (1 paper)Neurology (3 papers)
In The Last Decade
Shuichi Yatsuga
46 papers receiving 2.0k citations
Peers
Comparison fields: 5 of 89
- Clinical Biochemistry 657
- Aging 71
- Molecular Biology 1.5k
- Rheumatology 290
- Physiology 442
Countries citing papers authored by Shuichi Yatsuga
This map shows the geographic impact of Shuichi Yatsuga'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 Shuichi Yatsuga with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shuichi Yatsuga more than expected).
Fields of papers citing papers by Shuichi Yatsuga
This network shows the impact of papers produced by Shuichi Yatsuga. 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 Shuichi Yatsuga. The network helps show where Shuichi Yatsuga may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Shuichi Yatsuga, 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 | 0 | |
| 3 | 2022 | 1 | |
| 4 | 2022 | 12 | |
| 5 | 2021 | 2 | |
| 6 | 2020 | 7 | |
| 7 | 2019 | 4 | |
| 8 | 2018 | 5 | |
| 9 | 2017 | 63 | |
| 10 | 2017 | 280 | |
| 11 | 2017 | 14 | |
| 12 | 2016 | 10 | |
| 13 | A Case of ACTH Resistance with Generalized Hyperpigmentation at Birth | 2015 | 0 |
| 14 | 2015 | 3 | |
| 15 | Growth Differentiation Factor 15 and Fibroblast Growth Factor 21: Novel Biomarkers for Mitochondrial Diseases | 2014 | 1 |
| 16 | 2014 | 17 | |
| 17 | 2013 | 8 | |
| 18 | 2012 | 4 | |
| 19 | 2011 | 197 | |
| 20 | 2011 | 49 |
About Shuichi Yatsuga
Shuichi Yatsuga is a scholar working on Rheumatology, Reproductive Medicine and Clinical Biochemistry, having authored 50 papers that have together received 2.0k indexed citations. Recurring topics across this work include Mitochondrial Function and Pathology (13 papers), GDF15 and Related Biomarkers (7 papers), Sexual Differentiation and Disorders (5 papers), Hypothalamic control of reproductive hormones (5 papers), Metabolism and Genetic Disorders (4 papers), Genetic and Clinical Aspects of Sex Determination and Chromosomal Abnormalities (4 papers), Growth Hormone and Insulin-like Growth Factors (4 papers) and ATP Synthase and ATPases Research (4 papers). The work is most often cited by research in Clinical Biochemistry (657 citations), Aging (71 citations) and Molecular Biology (1.5k citations). Shuichi Yatsuga has collaborated with scholars based in Japan, Finland and Sweden. Frequent co-authors include Yasutoshi Koga, Toyojiro Matsuishi, Nataliya Povalko, Anu Suomalainen, Junko Nishioka, Yukihiro Akita, Tatsuyuki Kakuma, Yasunori Fujita, M. Tanaka and Toshio Kojima. Their work appears in journals such as SHILAP Revista de lepidopterología, The Journal of Clinical Endocrinology & Metabolism and Neurology.
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.