Yasutoshi Koga
- Molecular Biology top 1%
- Clinical Biochemistry top 0.02%
- Materials Chemistry top 5%
- Physiology top 2%
- Epidemiology top 5%
- Co-authors
- Eric A. SchonMercy M. DavidsonMichael P. KingSalvatore DiMauroIkuya NonakaShuichi YatsugaMichio HiranoMassimo Zeviani
- Topics
- Mitochondrial Function and Pathology (62 papers)Metabolism and Genetic Disorders (43 papers)Diamond and Carbon-based Materials Research (28 papers)
- Partner nations
- JapanUnited StatesGermany
In The Last Decade
Yasutoshi Koga
200 papers receiving 8.6k citations
Hit Papers
Peers
Comparison fields: 5 of 161
- Molecular Biology 5.8k
- Clinical Biochemistry 3.1k
- Materials Chemistry 1.1k
- Physiology 875
- Epidemiology 625
Countries citing papers authored by Yasutoshi Koga
This map shows the geographic impact of Yasutoshi Koga'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 Yasutoshi Koga with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yasutoshi Koga more than expected).
Fields of papers citing papers by Yasutoshi Koga
This network shows the impact of papers produced by Yasutoshi Koga. 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 Yasutoshi Koga. The network helps show where Yasutoshi Koga may publish in the future.
Co-authorship network of co-authors of Yasutoshi Koga
This figure shows the co-authorship network connecting the top 25 collaborators of Yasutoshi Koga. A scholar is included among the top collaborators of Yasutoshi Koga based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Yasutoshi Koga. Yasutoshi Koga is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 6 | |
| 3 | 5 | |
| 4 | 1 | |
| 5 | 103 | |
| 6 | 21 | |
| 7 | A Case of ACTH Resistance with Generalized Hyperpigmentation at Birth | 0 |
| 8 | 84 | |
| 9 | Growth Differentiation Factor 15 and Fibroblast Growth Factor 21: Novel Biomarkers for Mitochondrial Diseases | 1 |
| 10 | 4 | |
| 11 | 197 | |
| 12 | 24 | |
| 13 | 78 | |
| 14 | 21 | |
| 15 | 6 | |
| 16 | 427 | |
| 17 | 32 | |
| 18 | 88 | |
| 19 | 28 | |
| 20 | 11 |
About Yasutoshi Koga
Yasutoshi Koga is a scholar working on Clinical Biochemistry, Molecular Biology and Rheumatology, having authored 204 papers that have together received 8.8k indexed citations. Recurring topics across this work include Mitochondrial Function and Pathology (62 papers), Metabolism and Genetic Disorders (43 papers) and Diamond and Carbon-based Materials Research (28 papers). The work is most often cited by research in Clinical Biochemistry (3.1k citations), Molecular Biology (5.8k citations) and Aging (61 citations). Yasutoshi Koga has collaborated with scholars based in Japan, United States and Germany. Frequent co-authors include Eric A. Schon, Mercy M. Davidson, Michael P. King, Salvatore DiMauro, Ikuya Nonaka, Shuichi Yatsuga, Michio Hirano, Massimo Zeviani, Toyojiro Matsuishi and Nataliya Povalko. Their work appears in journals such as Nature, New England Journal of Medicine and Journal of the American Chemical Society.
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.