Ko Ko
Impact in
- Hepatology top 5%
- Hepatitis C virus research
- Hepatitis Viruses Studies and Epidemiology
- Hepatocellular Carcinoma Treatment and Prognosis
- Epidemiology top 10%
- Hepatitis B Virus Studies
- Liver Disease Diagnosis and Treatment
Papers in
- Hepatology 18
- Hepatitis C virus research 12
- Hepatitis Viruses Studies and Epidemiology 6
- Epidemiology 24
- Hepatitis B Virus Studies 21
- Liver Disease Diagnosis and Treatment 3
- Co-authors
- Junko Tanaka (53 shared papers)Tomoyuki Akita (47 shared papers)Masahiro Satake (4 shared papers)Aya Sugiyama (43 shared papers)Shintaro Nagashima (25 shared papers)Masayuki Ohisa (15 shared papers)Serge Ouoba (28 shared papers)Kazuaki Takahashi (22 shared papers)
- Journals
- Hepatology Research (10 papers)Scientific Reports (10 papers)BMC Infectious Diseases (6 papers)Journal of Medical Virology (4 papers)PLoS ONE (3 papers)
- Partner nations
- JapanCambodiaBurkina Faso
In The Last Decade
Ko Ko
49 papers receiving 531 citations
Peers
Comparison fields: 5 of 59
- Hepatology 171
- Epidemiology 231
- Infectious Diseases 75
- Neurology 23
- Oncology 22
Countries citing papers authored by Ko Ko
This map shows the geographic impact of Ko Ko'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 Ko Ko with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ko Ko more than expected).
Fields of papers citing papers by Ko Ko
This network shows the impact of papers produced by Ko Ko. 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 Ko Ko. The network helps show where Ko Ko may publish in the future.
Co-authors
The 25 scholars most cited alongside Ko Ko, 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 56 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 68 | |
| 2 | 2022 | 45 | |
| 3 | 2017 | 39 | |
| 4 | 2020 | 31 | |
| 5 | 2021 | 27 | |
| 6 | 2019 | 22 | |
| 7 | 2019 | 20 | |
| 8 | 2020 | 19 | |
| 9 | 2021 | 18 | |
| 10 | 2024 | 17 | |
| 11 | 2017 | 15 | |
| 12 | 2017 | 14 | |
| 13 | 2018 | 14 | |
| 14 | 2018 | 13 | |
| 15 | 2020 | 13 | |
| 16 | 2022 | 13 | |
| 17 | 2024 | 13 | |
| 18 | 2022 | 11 | |
| 19 | 2019 | 9 | |
| 20 | 2021 | 9 |
About Ko Ko
Ko Ko is a scholar working on Hepatology, Epidemiology, Infectious Diseases, Neurology and Oncology, having authored 56 papers that have together received 544 indexed citations. Recurring topics across this work include Hepatitis B Virus Studies (21 papers), Hepatitis C virus research (12 papers), SARS-CoV-2 and COVID-19 Research (9 papers), Hepatitis Viruses Studies and Epidemiology (6 papers), SARS-CoV-2 detection and testing (4 papers), Liver Disease Diagnosis and Treatment (3 papers), Long-Term Effects of COVID-19 (3 papers) and Clinical Laboratory Practices and Quality Control (2 papers). The work is most often cited by research in Hepatology (171 citations), Epidemiology (231 citations), Infectious Diseases (75 citations), Neurology (23 citations) and Oncology (22 citations). Ko Ko has collaborated with scholars based in Japan, Cambodia and Burkina Faso. Frequent co-authors include Junko Tanaka, Tomoyuki Akita, Masahiro Satake, Aya Sugiyama, Shintaro Nagashima, Masayuki Ohisa, Serge Ouoba, Kazuaki Takahashi, Keiko Katayama and Shigeharu Uchida. Their work appears in journals such as Hepatology Research, Scientific Reports, BMC Infectious Diseases, Journal of Medical Virology and PLoS ONE.
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.