Shigeru Kawakami

8.4k citations
221 papers · 6.9k indexed · h-index 50

Shigeru Kawakami

217 papers receiving 6.8k citations

Peers

Shigeru Kawakami
Comparison fields: 5 of 132
  • Biomaterials 1.4k
  • Pharmaceutical Science 540
  • Molecular Biology 4.7k
  • Immunology 1.1k
  • Genetics 1.1k
Replace Hidetaka Akita with:
Hidetaka Akita Japan
Dominik Witzigmann Canada
Hu‐Lin Jiang China
David Oupický United States
Gaurav Sahay United States
Kathryn A. Whitehead United States
Qiang Cheng China
Margaret M. Billingsley United States
Ram I. Mahato United States
Roy van der Meel Netherlands
Shigeru Kawakami relative to Hidetaka Akita Japan Hidetaka Akita's profile →
Citations per field
00.5×1.5×
Hidetaka Akita · 1×
Citations per year

Countries citing papers authored by Shigeru Kawakami

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

The 25 scholars most cited alongside Shigeru Kawakami, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Shigeru Kawakami Line = papers co-authored together Shigeru Kawakami links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20243
2 202410
3 20242
4 20241
5 20248
6 20241
7 20238
8 20234
9 202237
10 20223
11 202017
12 201735
13 20156
14 201143
15 200923
16 20082
17 200250
18
The effect of lipid composition on receptor-mediated in vivo gene transfection using mannosylated cationic liposomes in mice
200111
19
Propagation Characteristics of 60-GHz Millimeter Waves for ITS Inter-Vehicle Communications
200150
20 200136

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), Advanced biosensing and bioanalysis techniques (41 papers), Immunotherapy and Immune Responses (37 papers), Nanoparticle-Based Drug Delivery (23 papers), Ultrasound and Hyperthermia Applications (18 papers), Viral gastroenteritis research and epidemiology (15 papers) and Immune Response and Inflammation (15 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.

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