Junichi Koga
Impact in
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- Growth Hormone and Insulin-like Growth Factors
- Virology top 10%
Papers in
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- Muscle Physiology and Disorders 4
- Genetics 9
- Genetics and Neurodevelopmental Disorders 5
- Genetic Syndromes and Imprinting 5
- Co-authors
- Richard J. Whitley (6 shared papers)Takehiro Masumura (9 shared papers)Hisahide Nishio (4 shared papers)Hajime Nakamura (4 shared papers)Toru Takumi (4 shared papers)Masafumi Matsuo (4 shared papers)Yoshihiko Kitoh (4 shared papers)S. Chatterjee (4 shared papers)
- Journals
- Biochemical and Biophysical Research Communications (4 papers)Thrombosis Research (2 papers)Journal of Clinical Investigation (2 papers)Journal of Virology (1 paper)Analytical Biochemistry (1 paper)
- Partner nations
- JapanUnited StatesGreece
In The Last Decade
Junichi Koga
38 papers receiving 791 citations
Peers
Comparison fields: 5 of 80
- Endocrinology, Diabetes and Metabolism 150
- Virology 42
- Cancer Research 87
- Epidemiology 186
- Clinical Biochemistry 38
Countries citing papers authored by Junichi Koga
This map shows the geographic impact of Junichi 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 Junichi Koga with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Junichi Koga more than expected).
Fields of papers citing papers by Junichi Koga
This network shows the impact of papers produced by Junichi 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 Junichi Koga. The network helps show where Junichi Koga may publish in the future.
Co-authors
The 25 scholars most cited alongside Junichi Koga, 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 39 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1991 | 135 | |
| 2 | 1997 | 88 | |
| 3 | 1997 | 59 | |
| 4 | 1987 | 57 | |
| 5 | 1997 | 54 | |
| 6 | 1990 | 46 | |
| 7 | 1986 | 42 | |
| 8 | 1987 | 40 | |
| 9 | 1993 | 39 | |
| 10 | 1993 | 33 | |
| 11 | 1989 | 25 | |
| 12 | 1988 | 24 | |
| 13 | 2001 | 23 | |
| 14 | 1992 | 16 | |
| 15 | 1994 | 16 | |
| 16 | 1997 | 16 | |
| 17 | 2006 | 16 | |
| 18 | 2001 | 12 | |
| 19 | 2002 | 12 | |
| 20 | 1989 | 10 |
About Junichi Koga
Junichi Koga is a scholar working on Molecular Biology, Genetics, Epidemiology, Endocrinology, Diabetes and Metabolism and Immunology, having authored 39 papers that have together received 857 indexed citations. Recurring topics across this work include Herpesvirus Infections and Treatments (7 papers), Growth Hormone and Insulin-like Growth Factors (6 papers), Genetics and Neurodevelopmental Disorders (5 papers), Genetic Syndromes and Imprinting (5 papers), Muscle Physiology and Disorders (4 papers), Protease and Inhibitor Mechanisms (4 papers), interferon and immune responses (3 papers) and Monoclonal and Polyclonal Antibodies Research (3 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (150 citations), Virology (42 citations), Cancer Research (87 citations), Epidemiology (186 citations) and Clinical Biochemistry (38 citations). Junichi Koga has collaborated with scholars based in Japan, United States and Greece. Frequent co-authors include Richard J. Whitley, Takehiro Masumura, Hisahide Nishio, Hajime Nakamura, Toru Takumi, Masafumi Matsuo, Yoshihiko Kitoh, S. Chatterjee, Fred D. Lakeman and Takeshi Nakajima. Their work appears in journals such as Biochemical and Biophysical Research Communications, Thrombosis Research, Journal of Clinical Investigation, Journal of Virology and Analytical Biochemistry.
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.