Mikiro Nakashima
- Molecular Biology
- Pharmaceutical Science top 1%
- Genetics top 10%
- Public Health, Environmental and Occupational Health top 10%
- Infectious Diseases top 10%
- Co-authors
- Hitoshi SasakiKoyo NishidaJunzo NakamuraTakahiro MukaiMasataka IchikawaShintaro FumotoTakashi KitaharaShigeru Kawakami
- Topics
- RNA Interference and Gene Delivery (27 papers)Virus-based gene therapy research (19 papers)Drug Transport and Resistance Mechanisms (14 papers)
- Journals
- Biochemical and Biophysical Research CommunicationsJournal of Controlled ReleaseInternational Journal of Pharmaceutics
- Partner nations
- JapanUnited StatesChina
In The Last Decade
Mikiro Nakashima
118 papers receiving 1.5k citations
Peers
Comparison fields: 5 of 114
- Molecular Biology 583
- Pharmaceutical Science 255
- Genetics 244
- Public Health, Environmental and Occupational Health 235
- Infectious Diseases 158
Countries citing papers authored by Mikiro Nakashima
This map shows the geographic impact of Mikiro Nakashima'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 Mikiro Nakashima with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mikiro Nakashima more than expected).
Fields of papers citing papers by Mikiro Nakashima
This network shows the impact of papers produced by Mikiro Nakashima. 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 Mikiro Nakashima. The network helps show where Mikiro Nakashima may publish in the future.
Co-authorship network of co-authors of Mikiro Nakashima
This figure shows the co-authorship network connecting the top 25 collaborators of Mikiro Nakashima. A scholar is included among the top collaborators of Mikiro Nakashima 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 Mikiro Nakashima. Mikiro Nakashima is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 13 | |
| 3 | 3 | |
| 4 | 17 | |
| 5 | 4 | |
| 6 | 14 | |
| 7 | 2 | |
| 8 | 1 | |
| 9 | 14 | |
| 10 | 20 | |
| 11 | 5 | |
| 12 | 1 | |
| 13 | 37 | |
| 14 | 23 | |
| 15 | 1 | |
| 16 | 1 | |
| 17 | In Vivo Ocular Pharmacokinetic Model for Designing Dosage Schedules and Formulations of Ophthalmic Drugs in Human | 8 |
| 18 | 7 | |
| 19 | 27 | |
| 20 | 1 |
About Mikiro Nakashima
Mikiro Nakashima is a scholar working on Pharmacology, Pharmaceutical Science and Geriatrics and Gerontology, having authored 120 papers that have together received 1.5k indexed citations. Recurring topics across this work include RNA Interference and Gene Delivery (27 papers), Virus-based gene therapy research (19 papers) and Drug Transport and Resistance Mechanisms (14 papers). The work is most often cited by research in Pharmaceutical Science (255 citations), Ophthalmology (138 citations) and Pharmacology (100 citations). Mikiro Nakashima has collaborated with scholars based in Japan, United States and China. Frequent co-authors include Hitoshi Sasaki, Koyo Nishida, Junzo Nakamura, Takahiro Mukai, Masataka Ichikawa, Shintaro Fumoto, Takashi Kitahara, Shigeru Kawakami, Nobuhiro Ichikawa and Toshiyuki Sakaeda. Their work appears in journals such as Biochemical and Biophysical Research Communications, Journal of Controlled Release and International Journal of Pharmaceutics.
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.