Masashi Ninomiya
- Epidemiology top 5%
- Hepatology top 1%
- Molecular Biology
- Developmental Neuroscience top 1%
- Cellular and Molecular Neuroscience top 10%
- Co-authors
- Tooru ShimosegawaEiji KakazuYasuteru KondoJun InoueOsamu KimuraYoshiyuki UenoHiroaki OkamotoMasaharu Takahashi
- Topics
- Liver Disease Diagnosis and Treatment (32 papers)Hepatitis B Virus Studies (31 papers)Hepatitis C virus research (28 papers)
- Journals
- Journal of NeuroscienceSHILAP Revista de lepidopterologíaGastroenterology
- Partner nations
- JapanUnited StatesGreece
In The Last Decade
Masashi Ninomiya
77 papers receiving 2.0k citations
Hit Papers
Peers
Comparison fields: 5 of 103
- Epidemiology 754
- Hepatology 609
- Molecular Biology 492
- Developmental Neuroscience 397
- Cellular and Molecular Neuroscience 241
Countries citing papers authored by Masashi Ninomiya
This map shows the geographic impact of Masashi Ninomiya'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 Masashi Ninomiya with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Masashi Ninomiya more than expected).
Fields of papers citing papers by Masashi Ninomiya
This network shows the impact of papers produced by Masashi Ninomiya. 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 Masashi Ninomiya. The network helps show where Masashi Ninomiya may publish in the future.
Co-authorship network of co-authors of Masashi Ninomiya
This figure shows the co-authorship network connecting the top 25 collaborators of Masashi Ninomiya. A scholar is included among the top collaborators of Masashi Ninomiya 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 Masashi Ninomiya. Masashi Ninomiya is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 0 | |
| 3 | 1 | |
| 4 | 0 | |
| 5 | 1 | |
| 6 | 1 | |
| 7 | 1 | |
| 8 | 3 | |
| 9 | 10 | |
| 10 | 3 | |
| 11 | 9 | |
| 12 | 40 | |
| 13 | 1 | |
| 14 | 72 | |
| 15 | 7 | |
| 16 | 27 | |
| 17 | 7 | |
| 18 | 18 | |
| 19 | 30 | |
| 20 | Subventricular Zone-Derived Neuroblasts Migrate and Differentiate into Mature Neurons in the Post-Stroke Adult Striatumbreakdown → | 586 |
About Masashi Ninomiya
Masashi Ninomiya is a scholar working on Hepatology, Epidemiology and Cancer Research, having authored 82 papers that have together received 2.0k indexed citations. Recurring topics across this work include Liver Disease Diagnosis and Treatment (32 papers), Hepatitis B Virus Studies (31 papers) and Hepatitis C virus research (28 papers). The work is most often cited by research in Developmental Neuroscience (397 citations), Hepatology (609 citations) and Neurology (210 citations). Masashi Ninomiya has collaborated with scholars based in Japan, United States and Greece. Frequent co-authors include Tooru Shimosegawa, Eiji Kakazu, Yasuteru Kondo, Jun Inoue, Osamu Kimura, Yoshiyuki Ueno, Hiroaki Okamoto, Masaharu Takahashi, Takayuki Kogure and Kazunobu Sawamoto. Their work appears in journals such as Journal of Neuroscience, SHILAP Revista de lepidopterología and Gastroenterology.
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.