Hideki Koi
Impact in
- Obstetrics and Gynecology top 5%
- Pregnancy and preeclampsia studies
- COVID-19 Impact on Reproduction
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- Reproductive System and Pregnancy
Papers in
-
- Parvovirus B19 Infection Studies 5
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- TGF-β signaling in diseases 2
- Co-authors
- Samuel Parry (7 shared papers)Jerome F. Strauss (5 shared papers)Jian Zhang (2 shared papers)Fabián Arechavaleta-Velasco (2 shared papers)Spiro Getsios (2 shared papers)Colin D. MacCalman (2 shared papers)Antonis Makrigiannakis (2 shared papers)Takeshi Asô (4 shared papers)
- Journals
- Biology of Reproduction (3 papers)American Journal of Reproductive Immunology (1 paper)Placenta (1 paper)Journal of Reproductive Immunology (1 paper)Journal of General Virology (1 paper)
- Partner nations
- JapanUnited StatesCanada
In The Last Decade
Hideki Koi
14 papers receiving 400 citations
Peers
Comparison fields: 5 of 68
- Obstetrics and Gynecology 172
- Immunology 158
- Pediatrics, Perinatology and Child Health 112
- Infectious Diseases 89
- Virology 15
Countries citing papers authored by Hideki Koi
This map shows the geographic impact of Hideki Koi'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 Hideki Koi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hideki Koi more than expected).
Fields of papers citing papers by Hideki Koi
This network shows the impact of papers produced by Hideki Koi. 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 Hideki Koi. The network helps show where Hideki Koi may publish in the future.
Co-authors
The 25 scholars most cited alongside Hideki Koi, 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 | 2002 | 68 | |
| 2 | 2001 | 67 | |
| 3 | 2002 | 65 | |
| 4 | 2001 | 41 | |
| 5 | 2003 | 36 | |
| 6 | 2006 | 31 | |
| 7 | 2006 | 25 | |
| 8 | 2019 | 21 | |
| 9 | 2003 | 14 | |
| 10 | 2004 | 12 | |
| 11 | 2002 | 10 | |
| 12 | 1995 | 7 | |
| 13 | 1995 | 6 | |
| 14 | 1999 | 4 |
About Hideki Koi
Hideki Koi is a scholar working on Infectious Diseases, Molecular Biology, Epidemiology, Obstetrics and Gynecology and Pediatrics, Perinatology and Child Health, having authored 14 papers that have together received 407 indexed citations. Recurring topics across this work include Parvovirus B19 Infection Studies (5 papers), Cytomegalovirus and herpesvirus research (4 papers), Pregnancy and preeclampsia studies (3 papers), Reproductive System and Pregnancy (3 papers), TGF-β signaling in diseases (2 papers), Virus-based gene therapy research (2 papers), HIV Research and Treatment (1 paper) and Alcohol Consumption and Health Effects (1 paper). The work is most often cited by research in Obstetrics and Gynecology (172 citations), Immunology (158 citations), Pediatrics, Perinatology and Child Health (112 citations), Infectious Diseases (89 citations) and Virology (15 citations). Hideki Koi has collaborated with scholars based in Japan, United States and Canada. Frequent co-authors include Samuel Parry, Jerome F. Strauss, Jian Zhang, Fabián Arechavaleta-Velasco, Spiro Getsios, Colin D. MacCalman, Antonis Makrigiannakis, Jian Zhang, Takeshi Asô and Tatsuya Harada. Their work appears in journals such as Biology of Reproduction, American Journal of Reproductive Immunology, Placenta, Journal of Reproductive Immunology and Journal of General Virology.
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.