Atsushi Hagihara
- Hepatology top 2%
- Hepatocellular Carcinoma Treatment and Prognosis 28
- Hepatitis C virus research 23
- Liver Disease and Transplantation 7
- Epidemiology top 5%
- Liver Disease Diagnosis and Treatment 28
- Hepatitis B Virus Studies 15
- Oncology top 10%
- Pancreatic and Hepatic Oncology Research 12
- Pathology and Forensic Medicine top 10%
- Cancer Mechanisms and Therapy 7
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- Cholangiocarcinoma and Gallbladder Cancer Studies 7
- Co-authors
- Norifumi KawadaMasaru EnomotoAkihiro TamoriHideki FujiiSawako Uchida‐KobayashiHiroyasu MorikawaEtsushi KawamuraChigusa Morizane
- Cited by
- HepatologyEpidemiologyOncology
- Partner nations
- JapanUnited StatesCanada
In The Last Decade
Atsushi Hagihara
81 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 95
- Hepatology 516
- Epidemiology 490
- Oncology 366
- Pathology and Forensic Medicine 140
- Cancer Research 117
Countries citing papers authored by Atsushi Hagihara
This map shows the geographic impact of Atsushi Hagihara'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 Atsushi Hagihara with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Atsushi Hagihara more than expected).
Fields of papers citing papers by Atsushi Hagihara
This network shows the impact of papers produced by Atsushi Hagihara. 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 Atsushi Hagihara. The network helps show where Atsushi Hagihara may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Atsushi Hagihara, 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 | 2023 | 3 | |
| 2 | 2023 | 8 | |
| 3 | 2022 | 0 | |
| 4 | 2021 | 4 | |
| 5 | 2020 | 2 | |
| 6 | 2020 | 47 | |
| 7 | 2017 | 5 | |
| 8 | 2017 | 23 | |
| 9 | 2016 | 110 | |
| 10 | 2012 | 1 | |
| 11 | 2010 | 26 | |
| 12 | 2010 | 126 | |
| 13 | 2009 | 25 | |
| 14 | 2007 | 10 | |
| 15 | 2007 | 4 | |
| 16 | 2007 | 4 | |
| 17 | 2006 | 2 | |
| 18 | 1998 | 6 | |
| 19 | 0901 EFFECT OF A CLASS III ANTIARRHYTHMIC DRUG ON REFRATORY PERIOD. : DEMONSTRATION OF REVERSE USE DEPENDENCY ASSESSED BY MONOPHASIC ACTION POTENTIALS. | 1997 | 1 |
| 20 | 1970 | 7 |
About Atsushi Hagihara
Atsushi Hagihara is a scholar working on Hepatology, Epidemiology and Oncology, having authored 86 papers that have together received 1.3k indexed citations. Recurring topics across this work include Hepatocellular Carcinoma Treatment and Prognosis (28 papers), Liver Disease Diagnosis and Treatment (28 papers), Hepatitis C virus research (23 papers), Hepatitis B Virus Studies (15 papers), Pancreatic and Hepatic Oncology Research (12 papers), Liver Disease and Transplantation (7 papers), Cholangiocarcinoma and Gallbladder Cancer Studies (7 papers) and Cancer Mechanisms and Therapy (7 papers). The work is most often cited by research in Hepatology (516 citations), Epidemiology (490 citations) and Oncology (366 citations). Atsushi Hagihara has collaborated with scholars based in Japan, United States and Canada. Frequent co-authors include Norifumi Kawada, Masaru Enomoto, Akihiro Tamori, Hideki Fujii, Sawako Uchida‐Kobayashi, Hiroyasu Morikawa, Etsushi Kawamura, Chigusa Morizane, Shunsuke Kondo and Takuji Okusaka. Their work appears in journals such as Journal of Clinical Oncology, PLoS ONE and Oncogene.
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.