Goki Suda
Impact in
- Hepatology top 2%
- Hepatitis C virus research
- Liver Disease and Transplantation
- Hepatocellular Carcinoma Treatment and Prognosis
- Epidemiology top 10%
- Liver Disease Diagnosis and Treatment
- Hepatitis B Virus Studies
Papers in
- Hepatology 49
- Hepatitis C virus research 25
- Hepatocellular Carcinoma Treatment and Prognosis 14
- Liver Disease and Transplantation 12
- Epidemiology 30
- Liver Disease Diagnosis and Treatment 26
- Hepatitis B Virus Studies 13
- Co-authors
- Naoya Sakamoto (60 shared papers)Kenichi Morikawa (39 shared papers)Osamu Maehara (27 shared papers)Masatsugu Ohara (33 shared papers)Koji Ogawa (40 shared papers)Shunsuke Ohnishi (14 shared papers)Takuya Sho (44 shared papers)Mitsuteru Natsuizaka (30 shared papers)
- Journals
- Hepatology Research (12 papers)Journal of Hepatology (5 papers)PLoS ONE (4 papers)Journal of Gastroenterology (3 papers)Journal of Viral Hepatitis (3 papers)
- Partner nations
- JapanUnited StatesUnited Kingdom
In The Last Decade
Goki Suda
63 papers receiving 1.0k citations
Peers
Comparison fields: 5 of 82
- Hepatology 475
- Epidemiology 433
- Cancer Research 162
- Genetics 62
- Oncology 140
Countries citing papers authored by Goki Suda
This map shows the geographic impact of Goki Suda'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 Goki Suda with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Goki Suda more than expected).
Fields of papers citing papers by Goki Suda
This network shows the impact of papers produced by Goki Suda. 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 Goki Suda. The network helps show where Goki Suda may publish in the future.
Co-authors
The 25 scholars most cited alongside Goki Suda, 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 71 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 120 | |
| 2 | 2018 | 70 | |
| 3 | 2018 | 58 | |
| 4 | 2015 | 44 | |
| 5 | 2011 | 43 | |
| 6 | 2015 | 39 | |
| 7 | 2008 | 32 | |
| 8 | 2013 | 31 | |
| 9 | 2019 | 31 | |
| 10 | 2018 | 31 | |
| 11 | 2017 | 31 | |
| 12 | 2016 | 26 | |
| 13 | 2019 | 24 | |
| 14 | 2018 | 23 | |
| 15 | 2020 | 23 | |
| 16 | 2022 | 20 | |
| 17 | 2010 | 19 | |
| 18 | 2019 | 19 | |
| 19 | 2024 | 18 | |
| 20 | 2016 | 17 |
About Goki Suda
Goki Suda is a scholar working on Hepatology, Epidemiology, Molecular Biology, Oncology and Surgery, having authored 71 papers that have together received 1.0k indexed citations. Recurring topics across this work include Liver Disease Diagnosis and Treatment (26 papers), Hepatitis C virus research (25 papers), Hepatocellular Carcinoma Treatment and Prognosis (14 papers), Hepatitis B Virus Studies (13 papers), Liver Disease and Transplantation (12 papers), Nutrition and Health in Aging (5 papers), Glycosylation and Glycoproteins Research (4 papers) and Systemic Lupus Erythematosus Research (4 papers). The work is most often cited by research in Hepatology (475 citations), Epidemiology (433 citations), Cancer Research (162 citations), Genetics (62 citations) and Oncology (140 citations). Goki Suda has collaborated with scholars based in Japan, United States and United Kingdom. Frequent co-authors include Naoya Sakamoto, Kenichi Morikawa, Osamu Maehara, Masatsugu Ohara, Koji Ogawa, Shunsuke Ohnishi, Takuya Sho, Mitsuteru Natsuizaka, Masato Nakai and Megumi Kimura. Their work appears in journals such as Hepatology Research, Journal of Hepatology, PLoS ONE, Journal of Gastroenterology and Journal of Viral Hepatitis.
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.