Tatsuki Ichikawa
Impact in
- Hepatology top 0.5%
- Hepatitis C virus research
- Liver Disease and Transplantation
- Hepatocellular Carcinoma Treatment and Prognosis
- Epidemiology top 2%
- Liver Disease Diagnosis and Treatment
- Hepatitis B Virus Studies
Papers in
- Hepatology 70
- Hepatitis C virus research 38
- Liver Disease and Transplantation 18
- Hepatocellular Carcinoma Treatment and Prognosis 13
- Epidemiology 76
- Liver Disease Diagnosis and Treatment 61
- Hepatitis B Virus Studies 23
- Co-authors
- Kazuhiko NakaoKatsumi EguchiHisamitsu MiyaakiKeisuke HamasakiNaota TauraHiroki IshikawaHidetaka ShibataSatoshi Miuma
- Journals
- Biomedical Reports (11 papers)Hepatology Research (11 papers)Hepatology International (5 papers)Journal of Gastroenterology (5 papers)Endoscopy (5 papers)
- Partner nations
- JapanUnited StatesChina
In The Last Decade
Tatsuki Ichikawa
145 papers receiving 3.1k citations
Peers
Comparison fields: 5 of 109
- Hepatology 1.3k
- Epidemiology 1.5k
- Cancer Research 460
- Endocrinology, Diabetes and Metabolism 369
- Immunology 408
Countries citing papers authored by Tatsuki Ichikawa
This map shows the geographic impact of Tatsuki Ichikawa'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 Tatsuki Ichikawa with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tatsuki Ichikawa more than expected).
Fields of papers citing papers by Tatsuki Ichikawa
This network shows the impact of papers produced by Tatsuki Ichikawa. 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 Tatsuki Ichikawa. The network helps show where Tatsuki Ichikawa may publish in the future.
Co-authors
The 25 scholars most cited alongside Tatsuki Ichikawa, 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 | 2025 | 0 | |
| 2 | 2025 | 1 | |
| 3 | 2024 | 0 | |
| 4 | 2024 | 1 | |
| 5 | 2024 | 3 | |
| 6 | 2024 | 0 | |
| 7 | 2022 | 2 | |
| 8 | 2016 | 4 | |
| 9 | 2014 | 118 | |
| 10 | 2012 | 10 | |
| 11 | 2011 | 19 | |
| 12 | 2011 | 11 | |
| 13 | 2011 | 4 | |
| 14 | 2010 | 9 | |
| 15 | 2009 | 1 | |
| 16 | 2008 | 1 | |
| 17 | 2007 | 2 | |
| 18 | 2006 | 6 | |
| 19 | 2002 | 32 | |
| 20 | 2001 | 15 |
About Tatsuki Ichikawa
Tatsuki Ichikawa is a scholar working on Hepatology, Epidemiology, Gastroenterology, Immunology and Cancer Research, having authored 155 papers that have together received 3.2k indexed citations. Recurring topics across this work include Liver Disease Diagnosis and Treatment (61 papers), Hepatitis C virus research (38 papers), Hepatitis B Virus Studies (23 papers), Liver Disease and Transplantation (18 papers), Hepatocellular Carcinoma Treatment and Prognosis (13 papers), Organ Transplantation Techniques and Outcomes (11 papers), Systemic Lupus Erythematosus Research (8 papers) and Cytokine Signaling Pathways and Interactions (8 papers). The work is most often cited by research in Hepatology (1.3k citations), Epidemiology (1.5k citations), Cancer Research (460 citations), Endocrinology, Diabetes and Metabolism (369 citations) and Immunology (408 citations). Tatsuki Ichikawa has collaborated with scholars based in Japan, United States and China. Frequent co-authors include Kazuhiko Nakao, Katsumi Eguchi, Hisamitsu Miyaaki, Keisuke Hamasaki, Naota Taura, Hiroki Ishikawa, Hidetaka Shibata, Satoshi Miuma, Kojiro Matsumoto and Keisuke Nakata. Their work appears in journals such as Biomedical Reports, Hepatology Research, Hepatology International, Journal of Gastroenterology and Endoscopy.
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.