Yuichi Honma
Impact in
- Hepatology top 10%
- Hepatocellular Carcinoma Treatment and Prognosis
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- Autophagy in Disease and Therapy
- Liver Disease Diagnosis and Treatment
Papers in
- Hepatology 15
- Hepatocellular Carcinoma Treatment and Prognosis 6
- Hepatitis C virus research 5
- Epidemiology 18
- Liver Disease Diagnosis and Treatment 11
- Autophagy in Disease and Therapy 7
- Co-authors
- Masaru Harada (59 shared papers)Shinji Oe (33 shared papers)Koichiro Miyagawa (29 shared papers)Michihiko Shibata (38 shared papers)Ryoko Baba (3 shared papers)Hiroto Izumi (1 shared paper)Tsuguru Hayashi (11 shared papers)Shintaro Abe (15 shared papers)
- Journals
- Experimental Cell Research (4 papers)Medical Molecular Morphology (4 papers)Hepatology Research (4 papers)Cancers (2 papers)Scientific Reports (2 papers)
- Partner nations
- JapanUnited States
In The Last Decade
Yuichi Honma
54 papers receiving 564 citations
Peers
Comparison fields: 5 of 89
- Hepatology 79
- Epidemiology 169
- Nutrition and Dietetics 77
- Cell Biology 79
- Biological Psychiatry 11
Countries citing papers authored by Yuichi Honma
This map shows the geographic impact of Yuichi Honma'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 Yuichi Honma with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yuichi Honma more than expected).
Fields of papers citing papers by Yuichi Honma
This network shows the impact of papers produced by Yuichi Honma. 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 Yuichi Honma. The network helps show where Yuichi Honma may publish in the future.
Co-authors
The 25 scholars most cited alongside Yuichi Honma, 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 62 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2016 | 81 | |
| 2 | 2016 | 75 | |
| 3 | 2019 | 34 | |
| 4 | 2020 | 27 | |
| 5 | 2017 | 26 | |
| 6 | 2013 | 21 | |
| 7 | 2020 | 21 | |
| 8 | 2013 | 21 | |
| 9 | 2021 | 19 | |
| 10 | 2011 | 19 | |
| 11 | 2019 | 16 | |
| 12 | 2019 | 11 | |
| 13 | 2021 | 11 | |
| 14 | 2019 | 11 | |
| 15 | 2017 | 11 | |
| 16 | 2015 | 10 | |
| 17 | 2023 | 10 | |
| 18 | 2020 | 9 | |
| 19 | 2011 | 9 | |
| 20 | 2018 | 9 |
About Yuichi Honma
Yuichi Honma is a scholar working on Hepatology, Epidemiology, Hematology, Nutrition and Dietetics and Cell Biology, having authored 62 papers that have together received 574 indexed citations. Recurring topics across this work include Liver Disease Diagnosis and Treatment (11 papers), Trace Elements in Health (10 papers), Endoplasmic Reticulum Stress and Disease (8 papers), Autophagy in Disease and Therapy (7 papers), Hepatocellular Carcinoma Treatment and Prognosis (6 papers), Iron Metabolism and Disorders (6 papers), Heavy Metal Exposure and Toxicity (6 papers) and Hepatitis C virus research (5 papers). The work is most often cited by research in Hepatology (79 citations), Epidemiology (169 citations), Nutrition and Dietetics (77 citations), Cell Biology (79 citations) and Biological Psychiatry (11 citations). Yuichi Honma has collaborated with scholars based in Japan and United States. Frequent co-authors include Masaru Harada, Shinji Oe, Koichiro Miyagawa, Michihiko Shibata, Ryoko Baba, Hiroto Izumi, Tsuguru Hayashi, Shintaro Abe, Michio Senju and Satoshi Shimizu. Their work appears in journals such as Experimental Cell Research, Medical Molecular Morphology, Hepatology Research, Cancers and Scientific Reports.
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.