Satoshi Aotsuka

1.4k total citations
9 papers, 361 citations indexed

About

Satoshi Aotsuka is a scholar working on Molecular Biology, Plant Science and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Satoshi Aotsuka has authored 9 papers receiving a total of 361 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 4 papers in Plant Science and 3 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Satoshi Aotsuka's work include Monoclonal and Polyclonal Antibodies Research (3 papers), Research in Cotton Cultivation (2 papers) and CRISPR and Genetic Engineering (2 papers). Satoshi Aotsuka is often cited by papers focused on Monoclonal and Polyclonal Antibodies Research (3 papers), Research in Cotton Cultivation (2 papers) and CRISPR and Genetic Engineering (2 papers). Satoshi Aotsuka collaborates with scholars based in Japan and United States. Satoshi Aotsuka's co-authors include Masaaki Umeda, Hirofumi Uchimiya, Toru Kawada, Fukumi Sakai, Yutaka Shimizu, T. Hayashi, Osamu Hasegawa, Qiang Liu, Haihang Li and Atsushi Kato and has published in prestigious journals such as FEBS Letters, The Plant Journal and Plant Molecular Biology.

In The Last Decade

Satoshi Aotsuka

9 papers receiving 342 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Satoshi Aotsuka Japan 8 254 205 27 20 19 9 361
Seok-Min Lee South Korea 8 124 0.5× 209 1.0× 9 0.3× 21 1.1× 23 1.2× 18 411
Levava Roiz Israel 10 181 0.7× 251 1.2× 25 0.9× 4 0.2× 22 1.2× 15 362
Nadine Abraham Canada 4 81 0.3× 161 0.8× 43 1.6× 20 1.0× 9 0.5× 6 268
Sungchan Jang United States 11 101 0.4× 162 0.8× 46 1.7× 13 0.7× 6 0.3× 24 399
Ulrike Weydemann Germany 9 188 0.7× 463 2.3× 75 2.8× 17 0.8× 8 0.4× 9 541
Artur Biela Poland 11 66 0.3× 158 0.8× 20 0.7× 34 1.7× 24 1.3× 22 318
Ashley Birch Switzerland 10 80 0.3× 252 1.2× 19 0.7× 24 1.2× 4 0.2× 14 331
Vadim Schmatchenko Russia 9 173 0.7× 240 1.2× 42 1.6× 5 0.3× 4 0.2× 9 382
Lisa Kappel Austria 10 162 0.6× 304 1.5× 20 0.7× 4 0.2× 13 0.7× 14 448
Chakravarthy Chennareddy United States 3 279 1.1× 166 0.8× 20 0.7× 9 0.5× 15 0.8× 4 415

Countries citing papers authored by Satoshi Aotsuka

Since Specialization
Citations

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

Fields of papers citing papers by Satoshi Aotsuka

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Satoshi Aotsuka

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

All Works

9 of 9 papers shown
1.
Takekoshi, Masataka, Yasuko Nagatsuka, Satoshi Aotsuka, et al.. (2005). Production and characterization of recombinant human anti-HBs Fab antibodies. Journal of Virological Methods. 127(2). 141–147. 8 indexed citations
2.
Aotsuka, Satoshi, et al.. (2001). Cloning and Expression of Human Anti-Tumor Necrosis Factor-a Monoclonal Antibodies from Epstein-Barr Virus Transformed Oligoclonal Libraries. The Journal of Biochemistry. 130(2). 299–303. 4 indexed citations
3.
Tachibana, Hiroshi, Xunjia Cheng, Masataka Takekoshi, et al.. (1999). Preparation of Recombinant Human Monoclonal Antibody Fab Fragments Specific forEntamoeba histolytica. Clinical and Diagnostic Laboratory Immunology. 6(3). 383–387. 13 indexed citations
4.
Nagatsuka, Yasuko, Hideyuki Ihara, Satoshi Aotsuka, et al.. (1999). Bacterial expression of a human recombinant monoclonal antibody Fab fragment against hepatitis B surface antigen. Journal of Medical Virology. 58(4). 338–345. 21 indexed citations
5.
Aotsuka, Satoshi, et al.. (1998). Isolation of a Cotton CAP Gene: a Homologue of Adenylyl Cyclase-Associated Protein Highly Expressed during Fiber Elongation. Plant and Cell Physiology. 39(12). 1380–1383. 26 indexed citations
6.
Shimizu, Yutaka, Satoshi Aotsuka, Osamu Hasegawa, et al.. (1997). Changes in Levels of mRNAs for Cell Wall-Related Enzymes in Growing Cotton Fiber Cells. Plant and Cell Physiology. 38(3). 375–378. 100 indexed citations
8.
Anai, Toyoaki, Masaaki Umeda, Satoshi Aotsuka, et al.. (1993). Molecular structure of ras‐related small GTP‐binding protein genes of rice plants and GTPase activities of gene products in Escherichia coli. FEBS Letters. 332(3). 282–286. 17 indexed citations
9.
Uchimiya, Hirofumi, Shin‐ichiro Kidou, Satoshi Aotsuka, et al.. (1992). Random sequencing of cDNA libraries reveals a variety of expressed genes in cultured cells of rice (Oryza sativa L.). The Plant Journal. 2(6). 1005–1009. 82 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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