Hironori Mawatari
- Epidemiology top 1%
- Hepatology top 0.5%
- Endocrinology, Diabetes and Metabolism top 2%
- Surgery top 10%
- Molecular Biology
- Co-authors
- Atsushi NakajimaKoji FujitaSatoru SaitoMasato YonedaKento ImajoHiroyuki KirikoshiYuji OgawaYuichi Nozaki
- Topics
- Liver Disease Diagnosis and Treatment (30 papers)Liver Disease and Transplantation (8 papers)Pancreatitis Pathology and Treatment (7 papers)
- Journals
- SHILAP Revista de lepidopterologíaGastroenterologyPLoS ONE
- Partner nations
- JapanUnited StatesItaly
In The Last Decade
Hironori Mawatari
45 papers receiving 2.4k citations
Hit Papers
Peers
Comparison fields: 5 of 96
- Epidemiology 2.0k
- Hepatology 994
- Endocrinology, Diabetes and Metabolism 763
- Surgery 449
- Molecular Biology 319
Countries citing papers authored by Hironori Mawatari
This map shows the geographic impact of Hironori Mawatari'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 Hironori Mawatari with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hironori Mawatari more than expected).
Fields of papers citing papers by Hironori Mawatari
This network shows the impact of papers produced by Hironori Mawatari. 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 Hironori Mawatari. The network helps show where Hironori Mawatari may publish in the future.
Co-authorship network of co-authors of Hironori Mawatari
This figure shows the co-authorship network connecting the top 25 collaborators of Hironori Mawatari. A scholar is included among the top collaborators of Hironori Mawatari based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Hironori Mawatari. Hironori Mawatari is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 30 | |
| 2 | 1 | |
| 3 | 0 | |
| 4 | 3 | |
| 5 | 76 | |
| 6 | Magnetic Resonance Imaging More Accurately Classifies Steatosis and Fibrosis in Patients With Nonalcoholic Fatty Liver Disease Than Transient Elastographybreakdown → | 598 |
| 7 | 41 | |
| 8 | 10 | |
| 9 | 283 | |
| 10 | 29 | |
| 11 | 110 | |
| 12 | 1 | |
| 13 | 14 | |
| 14 | 61 | |
| 15 | 65 | |
| 16 | 75 | |
| 17 | 72 | |
| 18 | 64 | |
| 19 | 55 | |
| 20 | 233 |
About Hironori Mawatari
Hironori Mawatari is a scholar working on Hepatology, Gastroenterology and Epidemiology, having authored 51 papers that have together received 2.5k indexed citations. Recurring topics across this work include Liver Disease Diagnosis and Treatment (30 papers), Liver Disease and Transplantation (8 papers) and Pancreatitis Pathology and Treatment (7 papers). The work is most often cited by research in Hepatology (994 citations), Epidemiology (2.0k citations) and Endocrinology, Diabetes and Metabolism (763 citations). Hironori Mawatari has collaborated with scholars based in Japan, United States and Italy. Frequent co-authors include Atsushi Nakajima, Koji Fujita, Satoru Saito, Masato Yoneda, Kento Imajo, Hiroyuki Kirikoshi, Yuji Ogawa, Yuichi Nozaki, Koichiro Wada and Wataru Tomeno. Their work appears in journals such as SHILAP Revista de lepidopterología, Gastroenterology and PLoS ONE.
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.