Takehiro Nishikawa
Impact in
- Surfaces, Coatings and Films top 1%
- Polymer Surface Interaction Studies
- Surface Modification and Superhydrophobicity
- Biomaterials top 2%
- Nanoparticle-Based Drug Delivery
- Electrospun Nanofibers in Biomedical Applications
Papers in
-
- Polymer Surface Interaction Studies 7
-
- Electrospun Nanofibers in Biomedical Applications 6
- Co-authors
- Kazunari AkiyoshiJunzo SunamotoMasatsugu ShimomuraJin NishidaRyusuke OokuraTakeshi KarinoKeiko AraiMasahiko Hara
- Journals
- Polymer Journal (3 papers)Journal of Materials Science (3 papers)Langmuir (3 papers)Chemistry Letters (2 papers)Macromolecules (2 papers)
- Partner nations
- JapanGermanyUnited States
In The Last Decade
Takehiro Nishikawa
44 papers receiving 2.0k citations
Peers
Comparison fields: 5 of 104
- Surfaces, Coatings and Films 481
- Biomaterials 472
- Molecular Medicine 172
- Pharmaceutical Science 108
- Organic Chemistry 500
Countries citing papers authored by Takehiro Nishikawa
This map shows the geographic impact of Takehiro Nishikawa'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 Takehiro Nishikawa with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Takehiro Nishikawa more than expected).
Fields of papers citing papers by Takehiro Nishikawa
This network shows the impact of papers produced by Takehiro Nishikawa. 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 Takehiro Nishikawa. The network helps show where Takehiro Nishikawa may publish in the future.
Co-authors
The 25 scholars most cited alongside Takehiro Nishikawa, 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 | 2019 | 14 | |
| 2 | 2016 | 13 | |
| 3 | 2014 | 116 | |
| 4 | 2012 | 28 | |
| 5 | 2009 | 3 | |
| 6 | 2008 | 153 | |
| 7 | 2007 | 12 | |
| 8 | 2006 | 8 | |
| 9 | 2006 | 60 | |
| 10 | 2002 | 184 | |
| 11 | 2002 | 49 | |
| 12 | Levels of alpha 2 macroglobulin can predict bone metastases in prostate cancer. | 2001 | 25 |
| 13 | 2000 | 113 | |
| 14 | 2000 | 11 | |
| 15 | 1999 | 45 | |
| 16 | 1998 | 41 | |
| 17 | 1997 | 1 | |
| 18 | 1996 | 35 | |
| 19 | 1995 | 21 | |
| 20 | 1992 | 18 |
About Takehiro Nishikawa
Takehiro Nishikawa is a scholar working on Surfaces, Coatings and Films, Biomaterials, Cell Biology, Materials Chemistry and Organic Chemistry, having authored 45 papers that have together received 2.1k indexed citations. Recurring topics across this work include Polymer Surface Interaction Studies (7 papers), Electrospun Nanofibers in Biomedical Applications (6 papers), Block Copolymer Self-Assembly (5 papers), Glycosylation and Glycoproteins Research (4 papers), Tissue Engineering and Regenerative Medicine (3 papers), RNA and protein synthesis mechanisms (3 papers), Lipid Membrane Structure and Behavior (3 papers) and Semiconductor materials and devices (3 papers). The work is most often cited by research in Surfaces, Coatings and Films (481 citations), Biomaterials (472 citations), Molecular Medicine (172 citations), Pharmaceutical Science (108 citations) and Organic Chemistry (500 citations). Takehiro Nishikawa has collaborated with scholars based in Japan, Germany and United States. Frequent co-authors include Kazunari Akiyoshi, Junzo Sunamoto, Masatsugu Shimomura, Jin Nishida, Ryusuke Ookura, Junzo Sunamoto, Takeshi Karino, Keiko Arai, Masahiko Hara and Junko Hayashi. Their work appears in journals such as Polymer Journal, Journal of Materials Science, Langmuir, Chemistry Letters and Macromolecules.
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.