Tomoki Nishimura
- Biomaterials top 5%
- Supramolecular Self-Assembly in Materials 16
- Nanoparticle-Based Drug Delivery 8
- Organic Chemistry top 5%
- Advanced Polymer Synthesis and Characterization 14
- Surfactants and Colloidal Systems 7
- Molecular Medicine top 10%
- Surfaces, Coatings and Films top 10%
- Spectroscopy top 10%
-
- RNA Interference and Gene Delivery 11
- Advanced biosensing and bioanalysis techniques 9
-
- Dendrimers and Hyperbranched Polymers 7
-
- Luminescence and Fluorescent Materials 7
- Co-authors
- Kazunari AkiyoshiYoshihiro SasakiKazuo SakuraiSada‐atsu MukaiAkio KurodaShin‐ichi SawadaSteven D. BullJohn Fossey
- Partner nations
- JapanUnited StatesSouth Korea
In The Last Decade
Tomoki Nishimura
75 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 108
- Biomaterials 387
- Organic Chemistry 386
- Molecular Medicine 65
- Surfaces, Coatings and Films 80
- Spectroscopy 127
Countries citing papers authored by Tomoki Nishimura
This map shows the geographic impact of Tomoki Nishimura'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 Tomoki Nishimura with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tomoki Nishimura more than expected).
Fields of papers citing papers by Tomoki Nishimura
This network shows the impact of papers produced by Tomoki Nishimura. 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 Tomoki Nishimura. The network helps show where Tomoki Nishimura may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Tomoki Nishimura, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 1 | |
| 2 | 2025 | 2 | |
| 3 | 2024 | 2 | |
| 4 | 2024 | 9 | |
| 5 | 2024 | 4 | |
| 6 | 2023 | 8 | |
| 7 | 2022 | 2 | |
| 8 | 2022 | 12 | |
| 9 | 2021 | 13 | |
| 10 | 2020 | 2 | |
| 11 | 2018 | 3 | |
| 12 | 2015 | 9 | |
| 13 | 2013 | 6 | |
| 14 | 2013 | 34 | |
| 15 | 2012 | 18 | |
| 16 | 2012 | 81 | |
| 17 | 2011 | 6 | |
| 18 | Effects of photoperiod and temperature on reproductive diapause in the camphor tree weevil, Dyscerus hylobioides (Desbrochers) (Coleoptera: Curculionidae). | 2000 | 4 |
| 19 | 1997 | 1 | |
| 20 | 1995 | 1 |
About Tomoki Nishimura
Tomoki Nishimura is a scholar working on Biomaterials, Organic Chemistry, Molecular Medicine, Surfaces, Coatings and Films and Polymers and Plastics, having authored 80 papers that have together received 1.1k indexed citations. Recurring topics across this work include Supramolecular Self-Assembly in Materials (16 papers), Advanced Polymer Synthesis and Characterization (14 papers), RNA Interference and Gene Delivery (11 papers), Advanced biosensing and bioanalysis techniques (9 papers), Nanoparticle-Based Drug Delivery (8 papers), Surfactants and Colloidal Systems (7 papers), Dendrimers and Hyperbranched Polymers (7 papers) and Luminescence and Fluorescent Materials (7 papers). The work is most often cited by research in Biomaterials (387 citations), Organic Chemistry (386 citations), Molecular Medicine (65 citations), Surfaces, Coatings and Films (80 citations) and Spectroscopy (127 citations). Tomoki Nishimura has collaborated with scholars based in Japan, United States and South Korea. Frequent co-authors include Kazunari Akiyoshi, Yoshihiro Sasaki, Kazuo Sakurai, Sada‐atsu Mukai, Akio Kuroda, Shin‐ichi Sawada, Steven D. Bull, John Fossey, Tony D. James and Shota Fujii. Their work appears in journals such as Polymer Chemistry, Chemical Communications, Chemistry Letters, Biomacromolecules and Langmuir.
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.