Sei Yoshida

587 citations
22 papers · 372 · h-index 11

Impact in

Papers in

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

Sei Yoshida

22 papers receiving 367 citations

Peers

Sei Yoshida
Comparison fields: 5 of 61
  • Computational Theory and Mathematics 73
  • Oncology 112
  • Molecular Biology 273
  • Pathology and Forensic Medicine 52
  • Organic Chemistry 81
Replace Masato Yabuki with:
Masato Yabuki Japan
Yuefeng Peng United States
Jörn Weisner Germany
Brian Zifcak United States
Min‐Wu Chao Taiwan
Amy M. Delaney United States
Yajing Liu China
Camilo Quevedo United Kingdom
Julian Engel Germany
Jiachen Wen China
Sei Yoshida relative to Masato Yabuki Japan Masato Yabuki's profile →
Citations per field
00.5×2.7×
Masato Yabuki · 1×
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 201392
2 201390
3 200651
4 201316
5 202215
6 201714
7 202014
8 201212
9 201212
10 201311
11 201710
12 20169
13 20128
14 20214
15 20224
16 20213
17 20162
18
[Sensitivity test of anti-tumor agents. 2. Application of MTT assay].
19911
19 20131
20 20011

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 372 indexed citations. Recurring topics across this work include Melanoma and MAPK Pathways (6 papers), Synthesis and biological activity (5 papers), Computational Drug Discovery Methods (4 papers), Cell death mechanisms and regulation (4 papers), Cancer therapeutics and mechanisms (3 papers), Radiopharmaceutical Chemistry and Applications (3 papers), RNA Interference and Gene Delivery (3 papers) and Cytokine Signaling Pathways and Interactions (2 papers). The work is most often cited by research in Computational Theory and Mathematics (73 citations), Oncology (112 citations), Molecular Biology (273 citations), Pathology and Forensic Medicine (52 citations) and Organic Chemistry (81 citations). Sei Yoshida has collaborated with scholars based in Japan, United States and Cyprus. Frequent co-authors include Tomoyasu Ishikawa, Takeo Arita, Masanori Okaniwa, Akito Nakamura, Masato Yabuki, Kenichiro Naito, Jill Donelan, Kiyoshi Koshida, Mikio Namiki and Katherine Galvin. Their work appears in journals such as Bioorganic & Medicinal Chemistry, Molecular Cancer Therapeutics, Pharmaceutics, Journal of Controlled Release and Biochemical and Biophysical Research Communications.

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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