Hiroshi Ida
Impact in
- Hepatology top 1%
- Hepatocellular Carcinoma Treatment and Prognosis
- Cancer Research top 5%
- MicroRNA in disease regulation
- Cancer-related molecular mechanisms research
Papers in
- Hepatology 36
- Hepatocellular Carcinoma Treatment and Prognosis 23
- Hepatitis C virus research 9
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- TGF-β signaling in diseases 5
- Epigenetics and DNA Methylation 4
- Co-authors
- Naoshi Nishida (57 shared papers)Yoshiaki Ito (11 shared papers)Masatoshi Kudo (56 shared papers)Satoru Hagiwara (53 shared papers)Kazuomi Ueshima (50 shared papers)Yasunori Minami (46 shared papers)Masahiro Takita (43 shared papers)Toshiharu Sakurai (29 shared papers)
- Journals
- Digestive Diseases (17 papers)Liver Cancer (7 papers)Oncology (7 papers)Cancers (7 papers)Hepatology Research (4 papers)
- Partner nations
- JapanSingaporeUnited States
In The Last Decade
Hiroshi Ida
88 papers receiving 2.5k citations
Peers
Comparison fields: 5 of 90
- Hepatology 794
- Cancer Research 441
- Oncology 409
- Rheumatology 222
- Hematology 159
Countries citing papers authored by Hiroshi Ida
This map shows the geographic impact of Hiroshi Ida'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 Hiroshi Ida with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hiroshi Ida more than expected).
Fields of papers citing papers by Hiroshi Ida
This network shows the impact of papers produced by Hiroshi Ida. 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 Hiroshi Ida. The network helps show where Hiroshi Ida may publish in the future.
Co-authors
The 25 scholars most cited alongside Hiroshi Ida, 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 90 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 210 | |
| 2 | 2005 | 202 | |
| 3 | 2006 | 138 | |
| 4 | 2015 | 135 | |
| 5 | 2007 | 119 | |
| 6 | 2005 | 118 | |
| 7 | 2019 | 89 | |
| 8 | 2004 | 78 | |
| 9 | 2010 | 71 | |
| 10 | 2007 | 67 | |
| 11 | 2010 | 62 | |
| 12 | 2017 | 61 | |
| 13 | 2021 | 61 | |
| 14 | 2016 | 51 | |
| 15 | 2021 | 46 | |
| 16 | 2007 | 45 | |
| 17 | Quantitative analysis of tumor-derived methylated RUNX3 sequences in the serum of gastric cancer patients. | 2009 | 44 |
| 18 | 2017 | 42 | |
| 19 | 2008 | 38 | |
| 20 | 2015 | 37 |
About Hiroshi Ida
Hiroshi Ida is a scholar working on Hepatology, Molecular Biology, Epidemiology, Surgery and Oncology, having authored 90 papers that have together received 2.5k indexed citations. Recurring topics across this work include Hepatocellular Carcinoma Treatment and Prognosis (23 papers), Hepatitis C virus research (9 papers), Liver Disease Diagnosis and Treatment (9 papers), Hepatitis B Virus Studies (6 papers), TGF-β signaling in diseases (5 papers), Cholangiocarcinoma and Gallbladder Cancer Studies (4 papers), Epigenetics and DNA Methylation (4 papers) and Ferroptosis and cancer prognosis (4 papers). The work is most often cited by research in Hepatology (794 citations), Cancer Research (441 citations), Oncology (409 citations), Rheumatology (222 citations) and Hematology (159 citations). Hiroshi Ida has collaborated with scholars based in Japan, Singapore and United States. Frequent co-authors include Naoshi Nishida, Yoshiaki Ito, Masatoshi Kudo, Satoru Hagiwara, Kazuomi Ueshima, Yasunori Minami, Masahiro Takita, Toshiharu Sakurai, Hirokazu Chishina and Kosei Ito. Their work appears in journals such as Digestive Diseases, Liver Cancer, Oncology, Cancers and Hepatology Research.
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.