Shigeru Kawakami
- Molecular Biology top 1%
- Biomaterials top 0.5%
- Biomedical Engineering top 2%
- Genetics top 2%
- Immunology top 2%
- Co-authors
- Mitsuru HashidaFumiyoshi YamashitaYuriko HiguchiMakiya NishikawaShintaro FumotoYoshiyuki HattoriWassana WijagkanalanKazuo Maruyama
- Topics
- RNA Interference and Gene Delivery (126 papers)Virus-based gene therapy research (43 papers)Advanced biosensing and bioanalysis techniques (41 papers)
- Journals
- PLoS ONEBiomaterialsHepatology
- Partner nations
- JapanUnited StatesEgypt
In The Last Decade
Shigeru Kawakami
217 papers receiving 6.8k citations
Peers
Comparison fields: 5 of 132
- Molecular Biology 4.7k
- Biomaterials 1.4k
- Biomedical Engineering 1.3k
- Genetics 1.1k
- Immunology 1.1k
Countries citing papers authored by Shigeru Kawakami
This map shows the geographic impact of Shigeru Kawakami'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 Shigeru Kawakami with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shigeru Kawakami more than expected).
Fields of papers citing papers by Shigeru Kawakami
This network shows the impact of papers produced by Shigeru Kawakami. 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 Shigeru Kawakami. The network helps show where Shigeru Kawakami may publish in the future.
Co-authorship network of co-authors of Shigeru Kawakami
This figure shows the co-authorship network connecting the top 25 collaborators of Shigeru Kawakami. A scholar is included among the top collaborators of Shigeru Kawakami 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 Shigeru Kawakami. Shigeru Kawakami is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 3 | |
| 2 | 10 | |
| 3 | 2 | |
| 4 | 1 | |
| 5 | 8 | |
| 6 | 1 | |
| 7 | 8 | |
| 8 | 4 | |
| 9 | 37 | |
| 10 | 3 | |
| 11 | 17 | |
| 12 | 35 | |
| 13 | 6 | |
| 14 | 43 | |
| 15 | 23 | |
| 16 | 2 | |
| 17 | 50 | |
| 18 | The effect of lipid composition on receptor-mediated in vivo gene transfection using mannosylated cationic liposomes in mice | 11 |
| 19 | Propagation Characteristics of 60-GHz Millimeter Waves for ITS Inter-Vehicle Communications | 50 |
| 20 | 36 |
About Shigeru Kawakami
Shigeru Kawakami is a scholar working on Immunology, Molecular Biology and Biomaterials, having authored 221 papers that have together received 6.9k indexed citations. Recurring topics across this work include RNA Interference and Gene Delivery (126 papers), Virus-based gene therapy research (43 papers) and Advanced biosensing and bioanalysis techniques (41 papers). The work is most often cited by research in Biomaterials (1.4k citations), Pharmaceutical Science (540 citations) and Molecular Biology (4.7k citations). Shigeru Kawakami has collaborated with scholars based in Japan, United States and Egypt. Frequent co-authors include Mitsuru Hashida, Fumiyoshi Yamashita, Yuriko Higuchi, Makiya Nishikawa, Shintaro Fumoto, Yoshiyuki Hattori, Wassana Wijagkanalan, Kazuo Maruyama, Hidefumi Mukai and Ryo Suzuki. Their work appears in journals such as PLoS ONE, Biomaterials and Hepatology.
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.