Masami Niwa
- Neurology top 0.2%
- Molecular Biology top 5%
- Cellular and Molecular Neuroscience top 2%
- Oncology top 5%
- Physiology top 5%
- Co-authors
- Mária A. DeliShinsuke NakagawaYasufumi KataokaCsongor S. ÁbrahámKunihiko TanakaÁgnes KittelKentaro HayashiYuji Nagayama
- Topics
- Barrier Structure and Function Studies (31 papers)Receptor Mechanisms and Signaling (23 papers)Neuroscience and Neuropharmacology Research (22 papers)
- Journals
- Journal of Biological ChemistryThe Journal of Clinical Endocrinology & MetabolismJournal of Virology
- Partner nations
- JapanHungaryUnited States
In The Last Decade
Masami Niwa
146 papers receiving 5.3k citations
Hit Papers
Peers
Comparison fields: 5 of 145
- Neurology 2.0k
- Molecular Biology 1.8k
- Cellular and Molecular Neuroscience 960
- Oncology 946
- Physiology 760
Countries citing papers authored by Masami Niwa
This map shows the geographic impact of Masami Niwa'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 Masami Niwa with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Masami Niwa more than expected).
Fields of papers citing papers by Masami Niwa
This network shows the impact of papers produced by Masami Niwa. 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 Masami Niwa. The network helps show where Masami Niwa may publish in the future.
Co-authorship network of co-authors of Masami Niwa
This figure shows the co-authorship network connecting the top 25 collaborators of Masami Niwa. A scholar is included among the top collaborators of Masami Niwa 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 Masami Niwa. Masami Niwa is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 19 | |
| 2 | 14 | |
| 3 | 4 | |
| 4 | 16 | |
| 5 | 29 | |
| 6 | Permeability Studies on In Vitro Blood–Brain Barrier Models: Physiology, Pathology, and Pharmacologybreakdown → | 510 |
| 7 | 9 | |
| 8 | 36 | |
| 9 | 49 | |
| 10 | 40 | |
| 11 | 38 | |
| 12 | 57 | |
| 13 | 11 | |
| 14 | 21 | |
| 15 | 11 | |
| 16 | 1 | |
| 17 | 4 | |
| 18 | 8 | |
| 19 | 9 | |
| 20 | 3 |
About Masami Niwa
Masami Niwa is a scholar working on Neurology, Cellular and Molecular Neuroscience and Biochemistry, having authored 147 papers that have together received 5.5k indexed citations. Recurring topics across this work include Barrier Structure and Function Studies (31 papers), Receptor Mechanisms and Signaling (23 papers) and Neuroscience and Neuropharmacology Research (22 papers). The work is most often cited by research in Neurology (2.0k citations), Complementary and Manual Therapy (165 citations) and Cellular and Molecular Neuroscience (960 citations). Masami Niwa has collaborated with scholars based in Japan, Hungary and United States. Frequent co-authors include Mária A. Deli, Shinsuke Nakagawa, Yasufumi Kataoka, Csongor S. Ábrahám, Kunihiko Tanaka, Ágnes Kittel, Kentaro Hayashi, Yuji Nagayama, Takeshi Shimizudani and Hiroko Kawaguchi. Their work appears in journals such as Journal of Biological Chemistry, The Journal of Clinical Endocrinology & Metabolism and Journal of Virology.
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.