K. Saigo

2.0k citations
35 papers · 1.7k · h-index 20

Impact in

Papers in

    • Developmental Biology and Gene Regulation 6
    • RNA and protein synthesis mechanisms 6
    • RNA Interference and Gene Delivery 5
    • DNA and Nucleic Acid Chemistry 4
    • Bacterial Genetics and Biotechnology 4
    • Animal Genetics and Reproduction 3

K. Saigo

35 papers receiving 1.6k citations

Peers

K. Saigo
Comparison fields: 5 of 95
  • Aging 42
  • Cellular and Molecular Neuroscience 334
  • Molecular Biology 1.2k
  • Cell Biology 262
  • Genetics 396
Replace Michael Regulski with:
Michael Regulski United States
Duri Rungger Switzerland
Sam Kunes United States
Marianne Brown-Luedi Switzerland
Tulle Hazelrigg United States
Chiaki Katagiri Japan
Jacques Beaulaton France
János Szabad Hungary
Péter Maróy Hungary
Mark A. Mortin United States
K. Saigo relative to Michael Regulski United States Michael Regulski's profile →
Citations per field
00.5×1.5×2.5×
Michael Regulski · 1×
Citations per year

Countries citing papers authored by K. Saigo

Since Specialization
Citations

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

Fields of papers citing papers by K. Saigo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 35 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2004247
2 1993200
3 2005157
4 1996141
5 2007132
6 199298
7 200676
8 199176
9 199673
10 197963
11 200661
12 199456
13 200750
14 197836
15 197432
16 200624
17 197523
18 200522
19 197522
20 199119

About K. Saigo

K. Saigo is a scholar working on Molecular Biology, Genetics, Cellular and Molecular Neuroscience, Ecology and Cell Biology, having authored 35 papers that have together received 1.7k indexed citations. Recurring topics across this work include Neurobiology and Insect Physiology Research (9 papers), Bacteriophages and microbial interactions (9 papers), Developmental Biology and Gene Regulation (6 papers), RNA and protein synthesis mechanisms (6 papers), RNA Interference and Gene Delivery (5 papers), DNA and Nucleic Acid Chemistry (4 papers), Bacterial Genetics and Biotechnology (4 papers) and Animal Genetics and Reproduction (3 papers). The work is most often cited by research in Aging (42 citations), Cellular and Molecular Neuroscience (334 citations), Molecular Biology (1.2k citations), Cell Biology (262 citations) and Genetics (396 citations). K. Saigo has collaborated with scholars based in Japan, United States and Switzerland. Frequent co-authors include Yasufumi Emori, Shin‐ichi Higashijima, Toshimichi Yamada, Yuki Naito, Kumiko Ui‐Tei, Shinichi Morishita, Emiko Shishido, Ryu Ueda, Shuhei Zenno and Hiroyuki Koike. Their work appears in journals such as Virology, Proceedings of the National Academy of Sciences, Biochemical and Biophysical Research Communications, Genes & Development and The Journal of Biochemistry.

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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