Keishi Suga

2.3k total citations
158 papers, 1.9k citations indexed

About

Keishi Suga is a scholar working on Molecular Biology, Atomic and Molecular Physics, and Optics and Biomedical Engineering. According to data from OpenAlex, Keishi Suga has authored 158 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 74 papers in Molecular Biology, 30 papers in Atomic and Molecular Physics, and Optics and 23 papers in Biomedical Engineering. Recurrent topics in Keishi Suga's work include Lipid Membrane Structure and Behavior (55 papers), RNA Interference and Gene Delivery (19 papers) and Advanced biosensing and bioanalysis techniques (13 papers). Keishi Suga is often cited by papers focused on Lipid Membrane Structure and Behavior (55 papers), RNA Interference and Gene Delivery (19 papers) and Advanced biosensing and bioanalysis techniques (13 papers). Keishi Suga collaborates with scholars based in Japan, United States and South Korea. Keishi Suga's co-authors include Hiroshi Umakoshi, Yukihiro Okamoto, Nozomi Morishita Watanabe, Naofumi Matsunaga, G. Van Dedem, Toshinori Shimanouchi, Murray Moo‐Young, Yasuo Narumi, Tonya L. Kuhl and Koichi Kindo and has published in prestigious journals such as Nucleic Acids Research, SHILAP Revista de lepidopterología and Analytical Chemistry.

In The Last Decade

Keishi Suga

150 papers receiving 1.9k citations

Peers

Keishi Suga
Comparison fields: 5 of 119
  • Molecular Biology 879
  • Atomic and Molecular Physics, and Optics 325
  • Materials Chemistry 307
  • Biomedical Engineering 297
  • Organic Chemistry 280
Replace Francesco Spinozzi with:
Francesco Spinozzi Italy
Andrei Filippov Sweden
Belén Hernández France
Claus Czeslik Germany
Shawn Wettig Canada
Pavol Miškovský Slovakia
Satoshi Okada Japan
Mikhail A. Kiselev Russia
Tsutomu Hamada Japan
J. J. López Cascales Spain
Francesco Spinozzi Italy View profile →
Citations per field, relative to Keishi Suga
Keishi Suga · 1×
Citations per year, relative to Keishi Suga
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Countries citing papers authored by Keishi Suga

Since Specialization
Citations

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

Fields of papers citing papers by Keishi Suga

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Keishi Suga

This figure shows the co-authorship network connecting the top 25 collaborators of Keishi Suga. A scholar is included among the top collaborators of Keishi Suga 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 Keishi Suga. Keishi Suga 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
# Work Indexed citations
1 3
2 1
3 24
4 4
5 8
6 1
7 10
8 8
9 1
10 23
11 6
12 6
13 9
14 15
15 10
16 13
17 5
18 1
19 4
20
[The assessment of 99mTc-HMPAO tumor scintigraphy using VX-2 tumors in rabbits].
1

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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