Tetsuo Kubota

175 total papers · 2.5k total citations
110 papers, 1.8k citations indexed

About

Tetsuo Kubota is a scholar working on Molecular Biology, Immunology and Rheumatology. According to data from OpenAlex, Tetsuo Kubota has authored 110 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 31 papers in Molecular Biology, 30 papers in Immunology and 28 papers in Rheumatology. Recurrent topics in Tetsuo Kubota's work include Monoclonal and Polyclonal Antibodies Research (20 papers), Systemic Lupus Erythematosus Research (19 papers) and T-cell and B-cell Immunology (19 papers). Tetsuo Kubota is often cited by papers focused on Monoclonal and Polyclonal Antibodies Research (20 papers), Systemic Lupus Erythematosus Research (19 papers) and T-cell and B-cell Immunology (19 papers). Tetsuo Kubota collaborates with scholars based in Japan, United States and Germany. Tetsuo Kubota's co-authors include Nobuyuki Miyasaka, Toshihiro Nanki, Masayoshi Harigai, Masako Hara, Ryuji Koike, Manabu Kawamoto, Sayaka Ito, Yoshimitsu Kanai, Yukichi Hara and Yoshiyuki Kanai and has published in prestigious journals such as Journal of Biological Chemistry, SHILAP Revista de lepidopterología and The Journal of Immunology.

In The Last Decade

Tetsuo Kubota

107 papers receiving 1.8k citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Tetsuo Kubota 640 554 471 289 242 110 1.8k
Guixiu Shi 847 1.3× 749 1.4× 444 0.9× 310 1.1× 178 0.7× 120 2.3k
Pércío S. Gulko 708 1.1× 793 1.4× 829 1.8× 470 1.6× 166 0.7× 77 2.1k
Kazuko Uno 565 0.9× 672 1.2× 180 0.4× 346 1.2× 139 0.6× 100 2.2k
Maria C. Lebre 946 1.5× 494 0.9× 383 0.8× 385 1.3× 140 0.6× 75 2.0k
Dongli Song 367 0.6× 771 1.4× 271 0.6× 198 0.7× 220 0.9× 78 2.1k
Seon-Yeong Lee 804 1.3× 770 1.4× 443 0.9× 351 1.2× 139 0.6× 80 2.1k
Harry G. Bluestein 826 1.3× 334 0.6× 792 1.7× 290 1.0× 258 1.1× 68 2.1k
Hiroki Maruyama 362 0.6× 787 1.4× 239 0.5× 223 0.8× 88 0.4× 118 2.3k
Max Brenner 807 1.3× 770 1.4× 292 0.6× 229 0.8× 81 0.3× 68 2.0k
John Highton 568 0.9× 472 0.9× 874 1.9× 173 0.6× 242 1.0× 106 2.4k

Countries citing papers authored by Tetsuo Kubota

Since Specialization
Citations

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

Fields of papers citing papers by Tetsuo Kubota

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tetsuo Kubota

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

All Works

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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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