Naoki Okada

8.4k citations
279 papers · 6.4k indexed · h-index 43
Topics
Immunotherapy and Immune Responses (52 papers)Virus-based gene therapy research (38 papers)RNA Interference and Gene Delivery (37 papers)
Partner nations
JapanChinaUnited States

In The Last Decade

Naoki Okada

268 papers receiving 6.3k citations

Peers

Naoki Okada
Comparison fields: 5 of 165
  • Molecular Biology 2.1k
  • Immunology 1.6k
  • Pharmaceutical Science 1.5k
  • Oncology 1.3k
  • Genetics 857
Replace Akira Matsuda with:
Akira Matsuda Japan
Robert H. Rice United States
Kenichi Suzuki Japan
Nicholas C. Nicolaides United States
Man Li China
Ling Zhang China
Jessie L.‐S. Au United States
Albert Duschl Austria
Jacques Robert France
Asta Juzeniene Norway
Naoki Okada relative to Akira Matsuda Japan Akira Matsuda's profile →
Citations per field
00.5×3.7×
Akira Matsuda · 1×
Citations per year

Countries citing papers authored by Naoki Okada

Since Specialization
Citations

This map shows the geographic impact of Naoki Okada'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 Naoki Okada with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Naoki Okada more than expected).

Fields of papers citing papers by Naoki Okada

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Naoki Okada. 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 Naoki Okada. The network helps show where Naoki Okada may publish in the future.

Co-authorship network of co-authors of Naoki Okada

This figure shows the co-authorship network connecting the top 25 collaborators of Naoki Okada. A scholar is included among the top collaborators of Naoki Okada 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 Naoki Okada. Naoki Okada is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 3
2 0
3 1
4 2
5 3
6 3
7 3
8 5
9 2
10 13
11 1
12 59
13 131
14 14
15 28
16 10
17 7
18
Data Archives and Transmission System (DARTS)
0
19 0
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Relationship of Mechanical Characteristics of Dual Coated Single Mode Optical Fibers and Microbending Loss
3

About Naoki Okada

Naoki Okada is a scholar working on Pharmaceutical Science, Immunology and Biotechnology, having authored 279 papers that have together received 6.4k indexed citations. Recurring topics across this work include Immunotherapy and Immune Responses (52 papers), Virus-based gene therapy research (38 papers) and RNA Interference and Gene Delivery (37 papers). The work is most often cited by research in Pharmaceutical Science (1.5k citations), Immunology (1.6k citations) and Dermatology (544 citations). Naoki Okada has collaborated with scholars based in Japan, China and United States. Frequent co-authors include Shinsaku Nakagawa, Takuya Fujita, Akira Yamamoto, Yohei Mukai, Ying-Shu Quan, Sachiko Hirobe, Fumio Kamiyama, Kazuhiko Matsuo, Hiroyuki Mizuguchi and Tadanori Mayumi. Their work appears in journals such as Journal of the American Chemical Society, Journal of Clinical Oncology and SHILAP Revista de lepidopterología.

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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