Satoki Karasawa

949 total citations · 1 hit paper
7 papers, 735 citations indexed

About

Satoki Karasawa is a scholar working on Molecular Biology, Organic Chemistry and Oncology. According to data from OpenAlex, Satoki Karasawa has authored 7 papers receiving a total of 735 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Molecular Biology, 2 papers in Organic Chemistry and 2 papers in Oncology. Recurrent topics in Satoki Karasawa's work include Ubiquitin and proteasome pathways (3 papers), Cancer-related Molecular Pathways (2 papers) and RNA Research and Splicing (2 papers). Satoki Karasawa is often cited by papers focused on Ubiquitin and proteasome pathways (3 papers), Cancer-related Molecular Pathways (2 papers) and RNA Research and Splicing (2 papers). Satoki Karasawa collaborates with scholars based in Japan, Spain and Switzerland. Satoki Karasawa's co-authors include Hiroshi Handa, Takumi Ito, Peter Schäfer, Karl N. Miller, Tom Daniel, Derek Mendy, Ali Mahmoudi, Svetlana Gaidarova, Mahan Abbasian and Emily Rychak and has published in prestigious journals such as Angewandte Chemie International Edition, PLoS ONE and Journal of Materials Chemistry.

In The Last Decade

Satoki Karasawa

6 papers receiving 718 citations

Hit Papers

align trajectories

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.

Cereblon is a direct protein target for immunomodulatory and antiproliferative activities of lenalidomide and pomalidomide

2012 606 citations Antonia Lopez‐Girona, Derek Mendy et al. Leukemia profile →

Peers

Satoki Karasawa

MB

HEMAT

ONCOL

PFM

IMMUN

Mazen W. Karaman United States

Joanna Zabkiewicz United Kingdom

Y Kanayama Japan

Ju In Eom South Korea

Daniele Simoneschi United States

Robert S. Gronke United States

Vijay Menon United States

Keyi Zhu United States

Cathy E. Nolan United States

Ján Gurský Czechia

Mazen W. Karaman United States

Satoki Karasawa

454 ×0.8

MB

384 ×1.0

HEMAT

126 ×0.5

ONCOL

16 ×0.2

PFM

37 ×0.6

IMMUN

Citations per year, relative to Satoki Karasawa Satoki Karasawa (= 1×) peers Mazen W. Karaman

Countries citing papers authored by Satoki Karasawa

Since Specialization

Citations

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

Fields of papers citing papers by Satoki Karasawa

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Satoki Karasawa

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

All Works

Sort: Min cites: Since: Top N: Style:

7 of 7 papers shown

1.

Karasawa, Satoki, et al.. (2021). Development of Surface Treatment Giving Sustained Antibacterial Properties. Journal of The Surface Finishing Society of Japan. 72(5). 259–264.

2.

Preciado, Sara, Daniel Iglesias‐Serret, Diana M. González‐Gironès, et al.. (2014). A Trifluorinated Thiazoline Scaffold Leading to Pro‐apoptotic Agents Targeting Prohibitins. Angewandte Chemie International Edition. 53(38). 10150–10154. 36 indexed citations

3.

Preciado, Sara, Daniel Iglesias‐Serret, Diana M. González‐Gironès, et al.. (2014). A Trifluorinated Thiazoline Scaffold Leading to Pro‐apoptotic Agents Targeting Prohibitins. Angewandte Chemie. 126(38). 10314–10318. 1 indexed citations

4.

Karasawa, Satoki, Motoki Azuma, Takeshi Kasama, et al.. (2012). Vitamin K2 Covalently Binds to Bak and Induces Bak-Mediated Apoptosis. Molecular Pharmacology. 83(3). 613–620. 40 indexed citations

5.

Ito, Yuki, Takumi Ito, Satoki Karasawa, et al.. (2012). Identification of DNA-Dependent Protein Kinase Catalytic Subunit (DNA-PKcs) as a Novel Target of Bisphenol A. PLoS ONE. 7(12). e50481–e50481. 14 indexed citations

6.

Lopez‐Girona, Antonia, Derek Mendy, Takumi Ito, et al.. (2012). Cereblon is a direct protein target for immunomodulatory and antiproliferative activities of lenalidomide and pomalidomide. Leukemia. 26(11). 2326–2335. 606 indexed citations breakdown →

7.

Hatakeyama, Mamoru, Hiroshi Kishi, Kosuke Nishio, et al.. (2011). A two-step ligand exchange reaction generates highly water-dispersed magnetic nanoparticles for biomedical applications. Journal of Materials Chemistry. 21(16). 5959–5959. 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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