Sei Saitoh

1.7k citations
70 papers · 1.3k · h-index 20

Impact in

Papers in

Sei Saitoh

70 papers receiving 1.3k citations

Peers

Sei Saitoh
Comparison fields: 5 of 119
  • Structural Biology 97
  • Microbiology 80
  • Immunology 262
  • Biophysics 65
  • Developmental Neuroscience 45
Replace Gregory A. Gibson with:
Gregory A. Gibson United States
Yan Tan China
Karine Gousset United States
Sergi Padilla‐Parra United Kingdom
Greetje Vande Velde Belgium
Karolyn Buttle United States
Yongning He China
Mark Kühnel Germany
Sandrine Lécart France
David J. Vaux United Kingdom
Sei Saitoh relative to Gregory A. Gibson United States Gregory A. Gibson's profile →
Citations per field
00.5×2.8×
Gregory A. Gibson · 1×
Citations per year

Countries citing papers authored by Sei Saitoh

Since Specialization
Citations

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

Fields of papers citing papers by Sei Saitoh

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 70 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2004198
2 199485
3 201782
4 201671
5 198650
6 199648
7 201437
8 200732
9 199331
10 201629
11 200728
12 199328
13 200727
14 201025
15 200824
16 201124
17 199823
18 199522
19 200920
20 201019

About Sei Saitoh

Sei Saitoh is a scholar working on Molecular Biology, Physiology, Biomedical Engineering, Structural Biology and Cellular and Molecular Neuroscience, having authored 70 papers that have together received 1.3k indexed citations. Recurring topics across this work include Advanced Electron Microscopy Techniques and Applications (8 papers), Erythrocyte Function and Pathophysiology (6 papers), Glycosylation and Glycoproteins Research (5 papers), Microfluidic and Bio-sensing Technologies (5 papers), Renal Diseases and Glomerulopathies (4 papers), Neurogenesis and neuroplasticity mechanisms (4 papers), Spectroscopy Techniques in Biomedical and Chemical Research (3 papers) and Blood Coagulation and Thrombosis Mechanisms (3 papers). The work is most often cited by research in Structural Biology (97 citations), Microbiology (80 citations), Immunology (262 citations), Biophysics (65 citations) and Developmental Neuroscience (45 citations). Sei Saitoh has collaborated with scholars based in Japan, United States and China. Frequent co-authors include Nobuhiko Ohno, Shinichi Ohno, Nobuo Terada, Yurika Saitoh, Truc Quynh Thai, Yasuhisa Fujii, Huy Bang Nguyen, Bao Wu, Kensuke Hayashi and Makoto Hijikata. Their work appears in journals such as Medical Molecular Morphology, Scientific Reports, Microscopy, Histochemistry and Cell Biology and Reproduction.

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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