Sei Yoshida

594 citations
22 papers · 395 · h-index 11

Impact in

Papers in

    • Melanoma and MAPK Pathways 6
    • Cell death mechanisms and regulation 4
    • RNA Interference and Gene Delivery 3
    • Cancer therapeutics and mechanisms 3
    • Synthesis and biological activity 5

Sei Yoshida

22 papers receiving 390 citations

Peers

Sei Yoshida
Comparison fields: 5 of 63
  • Computational Theory and Mathematics 75
  • Oncology 106
  • Molecular Biology 279
  • Pathology and Forensic Medicine 52
  • Organic Chemistry 87
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Brian Zifcak United States
Jörn Weisner Germany
Yuefeng Peng United States
Min‐Wu Chao Taiwan
Marcel Koenig United States
Amy M. Delaney United States
Morgan Pellerano France
Jian Jin China
Camilo Quevedo United Kingdom
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Citations per field
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Citations per year

Countries citing papers authored by Sei Yoshida

Since Specialization
Citations

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

Fields of papers citing papers by Sei Yoshida

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Sei Yoshida, 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 Sei Yoshida Line = papers co-authored together Sei Yoshida links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 22 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2013100
2 201393
3 200654
4 202218
5 201317
6 201715
7 202014
8 201213
9 201712
10 201212
11 201311
12 20169
13 20128
14 20224
15 20214
16 20213
17 20132
18 20162
19 20131
20 20131

About Sei Yoshida

Sei Yoshida is a scholar working on Molecular Biology, Organic Chemistry, Oncology, Computational Theory and Mathematics and Radiology, Nuclear Medicine and Imaging, having authored 22 papers that have together received 395 indexed citations. Recurring topics across this work include Melanoma and MAPK Pathways (6 papers), Synthesis and biological activity (5 papers), Cell death mechanisms and regulation (4 papers), Computational Drug Discovery Methods (4 papers), RNA Interference and Gene Delivery (3 papers), Cancer therapeutics and mechanisms (3 papers), Radiopharmaceutical Chemistry and Applications (3 papers) and Nanoparticle-Based Drug Delivery (2 papers). The work is most often cited by research in Computational Theory and Mathematics (75 citations), Oncology (106 citations), Molecular Biology (279 citations), Pathology and Forensic Medicine (52 citations) and Organic Chemistry (87 citations). Sei Yoshida has collaborated with scholars based in Japan, United States and Cyprus. Frequent co-authors include Tomoyasu Ishikawa, Masanori Okaniwa, Takeo Arita, Akito Nakamura, Masato Yabuki, Jill Donelan, Elizabeth Carideo, Kenichiro Naito, Katherine Galvin and Atsushi Mizokami. Their work appears in journals such as Bioorganic & Medicinal Chemistry, Molecular Cancer Therapeutics, Biochemical and Biophysical Research Communications, Pharmaceutics and Journal of Controlled Release.

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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