Naofumi Ono
- Epidemiology top 2%
- Hepatology top 1%
- Endocrinology, Diabetes and Metabolism top 5%
- Physiology top 10%
- Surgery top 10%
- Co-authors
- Yuichiro EguchiToshihiko MizutaKazuma FujimotoHideyuki HyogoMasafumi OnoYoichiro KitajimaTakahisa EguchiToshiji Saibara
- Topics
- Liver Disease Diagnosis and Treatment (17 papers)Liver Disease and Transplantation (7 papers)Hepatocellular Carcinoma Treatment and Prognosis (6 papers)
- Journals
- Journal of HepatologyBritish Journal of HaematologyAlcoholism Clinical and Experimental Research
- Partner nations
- JapanUgandaUnited States
In The Last Decade
Naofumi Ono
30 papers receiving 1.4k citations
Hit Papers
Peers
Comparison fields: 5 of 80
- Epidemiology 1.0k
- Hepatology 599
- Endocrinology, Diabetes and Metabolism 415
- Physiology 345
- Surgery 300
Countries citing papers authored by Naofumi Ono
This map shows the geographic impact of Naofumi Ono'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 Naofumi Ono with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Naofumi Ono more than expected).
Fields of papers citing papers by Naofumi Ono
This network shows the impact of papers produced by Naofumi Ono. 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 Naofumi Ono. The network helps show where Naofumi Ono may publish in the future.
Co-authorship network of co-authors of Naofumi Ono
This figure shows the co-authorship network connecting the top 25 collaborators of Naofumi Ono. A scholar is included among the top collaborators of Naofumi Ono 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 Naofumi Ono. Naofumi Ono is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 110 | |
| 2 | 1 | |
| 3 | Prevalence and associated metabolic factors of nonalcoholic fatty liver disease in the general population from 2009 to 2010 in Japan: a multicenter large retrospective studybreakdown → | 413 |
| 4 | 191 | |
| 5 | 68 | |
| 6 | 28 | |
| 7 | 80 | |
| 8 | 35 | |
| 9 | 100 | |
| 10 | 19 | |
| 11 | [A case of mesenteric cavernous hemangioma showing interestingly image study]. | 2 |
| 12 | 14 | |
| 13 | 2 | |
| 14 | 16 | |
| 15 | 12 | |
| 16 | 2 | |
| 17 | 13 | |
| 18 | 3 | |
| 19 | 14 | |
| 20 | 1 |
About Naofumi Ono
Naofumi Ono is a scholar working on Hepatology, Epidemiology and Pathology and Forensic Medicine, having authored 31 papers that have together received 1.5k indexed citations. Recurring topics across this work include Liver Disease Diagnosis and Treatment (17 papers), Liver Disease and Transplantation (7 papers) and Hepatocellular Carcinoma Treatment and Prognosis (6 papers). The work is most often cited by research in Hepatology (599 citations), Epidemiology (1.0k citations) and Endocrinology, Diabetes and Metabolism (415 citations). Naofumi Ono has collaborated with scholars based in Japan, Uganda and United States. Frequent co-authors include Yuichiro Eguchi, Toshihiko Mizuta, Kazuma Fujimoto, Hideyuki Hyogo, Masafumi Ono, Yoichiro Kitajima, Takahisa Eguchi, Toshiji Saibara, Kazuaki Chayama and Iwata Ozaki. Their work appears in journals such as Journal of Hepatology, British Journal of Haematology and Alcoholism Clinical and Experimental 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.