Kohsuke Sasaki

4.7k total citations
174 papers, 3.9k citations indexed

About

Kohsuke Sasaki is a scholar working on Molecular Biology, Genetics and Surgery. According to data from OpenAlex, Kohsuke Sasaki has authored 174 papers receiving a total of 3.9k indexed citations (citations by other indexed papers that have themselves been cited), including 65 papers in Molecular Biology, 55 papers in Genetics and 51 papers in Surgery. Recurrent topics in Kohsuke Sasaki's work include Genomic variations and chromosomal abnormalities (47 papers), Cancer Genomics and Diagnostics (41 papers) and Genetic factors in colorectal cancer (28 papers). Kohsuke Sasaki is often cited by papers focused on Genomic variations and chromosomal abnormalities (47 papers), Cancer Genomics and Diagnostics (41 papers) and Genetic factors in colorectal cancer (28 papers). Kohsuke Sasaki collaborates with scholars based in Japan, China and United States. Kohsuke Sasaki's co-authors include Shigeto Kawauchi, Atsunori Oga, Tomoko Furuya, Manabu Takahashi, Tomoyuki Murakami, Noriyoshi Kusano, Akira Kurose, Kei Shiraishi, Hideyasu Matsuyama and Masahiro Kawasaki and has published in prestigious journals such as Hepatology, Cancer and Clinical Cancer Research.

In The Last Decade

Kohsuke Sasaki

169 papers receiving 3.8k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Kohsuke Sasaki Japan 36 1.8k 1.2k 1.0k 883 657 174 3.9k
Martina Olivero Italy 33 3.0k 1.7× 1.5k 1.2× 813 0.8× 958 1.1× 372 0.6× 80 5.6k
Michael T. Barrett United States 34 1.9k 1.1× 1.4k 1.1× 1.1k 1.0× 965 1.1× 486 0.7× 99 4.2k
Tsutomu Kasugai Japan 34 1.7k 1.0× 1.2k 1.0× 1.0k 1.0× 975 1.1× 302 0.5× 114 4.9k
A M Hanby United Kingdom 38 1.6k 0.9× 1.8k 1.4× 1.4k 1.3× 738 0.8× 371 0.6× 82 4.4k
Paul A. Edwards United Kingdom 38 3.0k 1.7× 1.2k 1.0× 791 0.8× 560 0.6× 921 1.4× 128 5.2k
Bjørn Risberg Norway 41 1.8k 1.0× 1.4k 1.1× 877 0.8× 512 0.6× 263 0.4× 131 4.6k
Jane E. Armes Australia 34 1.7k 1.0× 1.5k 1.2× 936 0.9× 326 0.4× 792 1.2× 100 4.6k
Giuliana Salvatore Italy 36 2.2k 1.3× 2.0k 1.6× 596 0.6× 559 0.6× 754 1.1× 83 5.3k
Michael Jeffers United States 36 3.4k 1.9× 1.6k 1.4× 997 1.0× 570 0.6× 292 0.4× 78 5.7k
Yoshito Ueyama Japan 41 3.2k 1.8× 2.6k 2.1× 1.0k 1.0× 708 0.8× 684 1.0× 198 6.5k

Countries citing papers authored by Kohsuke Sasaki

Since Specialization
Citations

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

Fields of papers citing papers by Kohsuke Sasaki

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kohsuke Sasaki

This figure shows the co-authorship network connecting the top 25 collaborators of Kohsuke Sasaki. A scholar is included among the top collaborators of Kohsuke Sasaki 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 Kohsuke Sasaki. Kohsuke Sasaki 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
1.
Furuya, Tomoko, et al.. (2015). CNVs Associated with Susceptibility to Cancers: A Mini-Review. Journal of Cancer Therapy. 6(5). 413–422. 6 indexed citations
2.
Nakao, Motonao & Kohsuke Sasaki. (2009). Identification of the copy number aberrations for determining the disease stage of colorectal cancers: the application of a multifactor dimensionality reduction (MDR) method to an array-based CGH.. 56(3). 49–55. 1 indexed citations
3.
Nakao, Motonao, Jun Adachi, Tomoko Furuya, et al.. (2009). The Development of a Variable Threshold Analysis Method to Identify Clones Linked the Clinicopathological Features in an Array-Based CGH- Its Application to Colorectal Cancer. 56(3). 43–48. 1 indexed citations
4.
Liu, Xiuping, Xiuping Liu, Dongyan Li, et al.. (2008). Comparison of chromosomal aberrations between primary tumors and their synchronous lymph-node metastases in intestinal-type gastric carcinoma. Pathology - Research and Practice. 205(2). 105–111. 5 indexed citations
5.
Furuya, Tomoko, Atsunori Oga, Shigeto Kawauchi, et al.. (2007). Relation of invasive ductal carcinoma by chromosome instability and breast cancer-related markers. The Journal of the Japanese Society of Clinical Cytology. 46(6). 332–337. 2 indexed citations
6.
Nakao, Motonao, et al.. (2006). The Development of a Novel Method for the Classification of the aCGH Profiles Based on Genomic Alterations. 53(3). 37–43. 2 indexed citations
7.
Harada, Tomohiko, Kei Shiraishi, Noriyoshi Kusano, et al.. (2000). Evaluation of the Reliability of Chromosomal Imbalances Detected by Combined Use of Universal DNA Amplification and Comparative Genomic Hybridization. Japanese Journal of Cancer Research. 91(11). 1119–1125. 17 indexed citations
8.
Imamura, Yuko, et al.. (1997). Detection of numerical chromosomal aberrations in malignant melanomas using fluorescence in situ hybridization. Journal of Cutaneous Pathology. 24(4). 201–205. 19 indexed citations
9.
Kamentsky, Louis A., Lee Kamentsky, Lee Kamentsky, et al.. (1997). Methods for automatic multiparameter analysis of fluorescence in situ hybridized specimens with a laser scanning cytometer. Cytometry. 27(2). 117–125. 33 indexed citations
10.
Sasaki, Kohsuke, et al.. (1997). Immunohistochemical detection of p21WAF1/CIP1 and p53 proteins in formalin-fixed paraffin-embedded tissue sections of squamous cell carcinoma of the skin. Journal of Dermatological Science. 14(3). 233–239. 10 indexed citations
11.
Sasaki, Kohsuke, et al.. (1996). DNA ploidy heterogeneity in early and advanced gastric cancers. Cytometry. 26(2). 131–136. 4 indexed citations
12.
13.
Shrestha, Prashanta, Jian Huang, Fumihiko Shinozaki, et al.. (1992). Rare expression of the c‐erbB‐2 oncoprotein in salivary gland tumors: an immunohistochemical study. Journal of Oral Pathology and Medicine. 21(10). 477–480. 27 indexed citations
14.
Sasaki, Kohsuke, Tomoyuki Murakami, T Murakami, & Masayuki Nakamura. (1991). Intratumoral heterogeneity in DNA ploidy of esophageal squamous cell carcinomas. Cancer. 68(11). 2403–2406. 44 indexed citations
15.
Matsumura, Kouji, et al.. (1990). Evaluation of Frozen Section Diagnosis and Rapid Intraoperative Flow Cytometric Analysis of Oral and Maxillofacial Lesions. 37(3). 113–117. 1 indexed citations
16.
17.
Sasaki, Kohsuke, et al.. (1986). Induction to Granulocytic Differentiation of Human Promyelocytic Leukemia Cells （HL－6０） by Polyprenoic Acid （E5166）. 33(1). 1–7. 1 indexed citations
18.
Sasaki, Kohsuke, et al.. (1984). Flow Cytometric Study on Tumor Antigen TA－4 in Uterine Cervical Squamous Cells. 31(1). 1 indexed citations
19.
Sasaki, Kohsuke, et al.. (1979). Hyperplasia of Brunner's glands. 26(1). 43–48.
20.
Sasaki, Kohsuke. (1977). Measurement of tritiated thymidine labeling index by incubation in vitro of surgically removed cervical cancer.. Munich Personal RePEc Archive (Ludwig Maximilian University of Munich). 68(3). 307–13. 20 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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