Tetsu Saigusa

3.0k total citations · 1 hit paper
15 papers, 2.0k citations indexed

About

Tetsu Saigusa is a scholar working on Epidemiology, Molecular Biology and Cell Biology. According to data from OpenAlex, Tetsu Saigusa has authored 15 papers receiving a total of 2.0k indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Epidemiology, 8 papers in Molecular Biology and 7 papers in Cell Biology. Recurrent topics in Tetsu Saigusa's work include Autophagy in Disease and Therapy (10 papers), Endoplasmic Reticulum Stress and Disease (7 papers) and Biocrusts and Microbial Ecology (4 papers). Tetsu Saigusa is often cited by papers focused on Autophagy in Disease and Therapy (10 papers), Endoplasmic Reticulum Stress and Disease (7 papers) and Biocrusts and Microbial Ecology (4 papers). Tetsu Saigusa collaborates with scholars based in Japan, United Kingdom and United States. Tetsu Saigusa's co-authors include Atsushi Tero, Toshiyuki Nakagaki, Tomotake Kanki, Yusuke Kurihara, Ryo Kobayashi, Yuko Hirota, Dongchon Kang, Yoshimasa Aoki, Takeshi Uchiumi and Daniel P. Bebber and has published in prestigious journals such as Science, Physical Review Letters and Journal of Biological Chemistry.

In The Last Decade

Tetsu Saigusa

15 papers receiving 1.9k citations

Hit Papers

Rules for Biologically Inspired Adaptive Network Design 2010 2026 2015 2020 2010 100 200 300 400 500
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Rules for Biologically Inspired Adaptive Network Design
    2010 557 citations Atsushi Tero, Seiji Takagi et al. Science profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Tetsu Saigusa Japan 14 767 729 701 486 442 15 2.0k
Jean‐Marc Schwartz United Kingdom 30 1.4k 1.8× 297 0.4× 92 0.1× 229 0.5× 31 0.1× 110 2.7k
Allen Goodman United States 12 1.4k 1.9× 297 0.4× 123 0.2× 61 0.1× 18 0.0× 18 3.1k
Li-Zhen Li China 23 657 0.9× 40 0.1× 79 0.1× 118 0.2× 461 1.0× 227 2.6k
Peter Woolf United States 19 1.7k 2.2× 92 0.1× 182 0.3× 526 1.1× 29 0.1× 41 2.8k
Li‐San Wang United States 30 2.7k 3.6× 38 0.1× 212 0.3× 360 0.7× 82 0.2× 92 4.4k
Shuo Han China 21 2.6k 3.3× 147 0.2× 160 0.2× 394 0.8× 17 0.0× 60 3.3k
A.E. Adams United Kingdom 29 4.9k 6.4× 397 0.5× 172 0.2× 817 1.7× 93 0.2× 101 6.6k
Lee Kamentsky United States 13 1.5k 2.0× 280 0.4× 153 0.2× 58 0.1× 12 0.0× 21 2.9k
Anton Bittner United States 16 1.8k 2.3× 85 0.1× 389 0.6× 233 0.5× 14 0.0× 23 3.1k
Jinho Park South Korea 21 1.5k 2.0× 223 0.3× 167 0.2× 299 0.6× 37 0.1× 87 2.5k

Countries citing papers authored by Tetsu Saigusa

Since Specialization
Citations

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

Fields of papers citing papers by Tetsu Saigusa

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tetsu Saigusa

This figure shows the co-authorship network connecting the top 25 collaborators of Tetsu Saigusa. A scholar is included among the top collaborators of Tetsu Saigusa 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 Tetsu Saigusa. Tetsu Saigusa is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

15 of 15 papers shown
1.
Fukuda, Tomoyuki, Tetsu Saigusa, Kentaro Furukawa, et al.. (2023). Hva22, a REEP family protein in fission yeast, promotes reticulophagy in collaboration with a receptor protein. Autophagy. 19(10). 2657–2667. 3 indexed citations
2.
Fukuda, Tomoyuki, Tetsu Saigusa, Kentaro Furukawa, et al.. (2020). Atg43 tethers isolation membranes to mitochondria to promote starvation-induced mitophagy in fission yeast. eLife. 9. 34 indexed citations
3.
Furukawa, Kentaro, Tomoyuki Fukuda, Tetsu Saigusa, et al.. (2020). Association and dissociation between the mitochondrial Far complex and Atg32 regulate mitophagy. eLife. 9. 16 indexed citations
4.
Furukawa, Kentaro, Tomoyuki Fukuda, Tetsu Saigusa, et al.. (2018). The PP2A-like Protein Phosphatase Ppg1 and the Far Complex Cooperatively Counteract CK2-Mediated Phosphorylation of Atg32 to Inhibit Mitophagy. Cell Reports. 23(12). 3579–3590. 44 indexed citations
5.
Furukawa, Kentaro, Maho Hamasaki, Akiko Nezu, et al.. (2016). Mitochondrial division occurs concurrently with autophagosome formation but independently of Drp1 during mitophagy. The Journal of Cell Biology. 215(5). 649–665. 167 indexed citations
6.
Hirota, Yuko, Yusuke Kurihara, M. Aihara, et al.. (2015). Mitophagy is primarily due to alternative autophagy and requires the MAPK1 and MAPK14 signaling pathways. Autophagy. 11(2). 332–343. 167 indexed citations
7.
Aihara, M., Yusuke Kurihara, Yutaka Yoshida, et al.. (2014). The Tor and Sin3-Rpd3 complex regulate expression of the mitophagy receptor protein Atg32. Journal of Cell Science. 127(Pt 14). 3184–96. 38 indexed citations
8.
Kanki, Tomotake, Yusuke Kurihara, Tadahiro Goda, et al.. (2013). Casein kinase 2 is essential for mitophagy. EMBO Reports. 14(9). 788–794. 116 indexed citations
9.
Aoki, Yoshimasa, Tomotake Kanki, Yuko Hirota, et al.. (2011). Phosphorylation of Serine 114 on Atg32 mediates mitophagy. Molecular Biology of the Cell. 22(17). 3206–3217. 171 indexed citations
10.
Kurihara, Yusuke, Tomotake Kanki, Yoshimasa Aoki, et al.. (2011). Mitophagy Plays an Essential Role in Reducing Mitochondrial Production of Reactive Oxygen Species and Mutation of Mitochondrial DNA by Maintaining Mitochondrial Quantity and Quality in Yeast. Journal of Biological Chemistry. 287(5). 3265–3272. 219 indexed citations
11.
Tero, Atsushi, Seiji Takagi, Tetsu Saigusa, et al.. (2010). Rules for Biologically Inspired Adaptive Network Design. Science. 327(5964). 439–442. 557 indexed citations breakdown →
12.
Tero, Atsushi, et al.. (2008). Flow-network adaptation in Physarum amoebae. Theory in Biosciences. 127(2). 89–94. 66 indexed citations
13.
Saigusa, Tetsu, Atsushi Tero, Toshiyuki Nakagaki, & Yoshiki Kuramoto. (2008). Amoebae Anticipate Periodic Events. Physical Review Letters. 100(1). 18101–18101. 226 indexed citations
14.
Nakagaki, Toshiyuki, Makoto Iima, Tetsuo Ueda, et al.. (2007). Minimum-Risk Path Finding by an Adaptive Amoebal Network. Physical Review Letters. 99(6). 68104–68104. 131 indexed citations
15.
Hasegawa, Kenji, Tetsu Saigusa, & Yoichi Tamai. (2005). Caenorhabditis elegansOpens Up New Insights into Circadian Clock Mechanisms. Chronobiology International. 22(1). 1–19. 38 indexed citations

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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