Kenji Sekikawa

120 total papers · 6.4k total citations
103 papers, 5.5k citations indexed

About

Kenji Sekikawa is a scholar working on Molecular Biology, Immunology and Genetics. According to data from OpenAlex, Kenji Sekikawa has authored 103 papers receiving a total of 5.5k indexed citations (citations by other indexed papers that have themselves been cited), including 35 papers in Molecular Biology, 28 papers in Immunology and 26 papers in Genetics. Recurrent topics in Kenji Sekikawa's work include Virus-based gene therapy research (10 papers), Immune Response and Inflammation (9 papers) and Genetic Mapping and Diversity in Plants and Animals (8 papers). Kenji Sekikawa is often cited by papers focused on Virus-based gene therapy research (10 papers), Immune Response and Inflammation (9 papers) and Genetic Mapping and Diversity in Plants and Animals (8 papers). Kenji Sekikawa collaborates with scholars based in Japan, Kenya and United States. Kenji Sekikawa's co-authors include Yoichiro Iwakura, Yoh‐ichi Tagawa, Mitsuru Seishima, Masahide Asano, Aya Nambu, Michiko Iwase, Ikuo Homma, Yutaka Komiyama, Katsuko Sudo and Susumu Nakae and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Circulation and Journal of Clinical Investigation.

In The Last Decade

Kenji Sekikawa

103 papers receiving 5.3k citations

Hit Papers

Antigen-Specific T Cell S... 2002 2026 2010 2018 2002 250 500 750

Author Peers

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

Author Last Decade Papers Cites
Kenji Sekikawa 2.2k 1.4k 1.0k 619 541 103 5.5k
Lirlândia P. Sousa 2.1k 0.9× 2.2k 1.6× 722 0.7× 667 1.1× 357 0.7× 134 6.4k
Jason B. Weinberg 1.7k 0.8× 1.4k 1.0× 762 0.8× 638 1.0× 439 0.8× 122 5.0k
Andrew C. Issekutz 3.1k 1.4× 2.0k 1.5× 608 0.6× 802 1.3× 462 0.9× 184 7.7k
Junming Le 3.0k 1.4× 1.2k 0.8× 999 1.0× 557 0.9× 507 0.9× 61 5.9k
S. M. Wolff 3.7k 1.7× 2.1k 1.5× 1.5k 1.5× 651 1.1× 487 0.9× 66 8.2k
Christos Tsatsanis 2.6k 1.2× 3.0k 2.1× 939 0.9× 682 1.1× 560 1.0× 130 7.9k
Thomas Weichhart 2.1k 0.9× 2.1k 1.5× 993 1.0× 874 1.4× 314 0.6× 82 5.9k
Karim C. El Kasmi 1.9k 0.8× 1.8k 1.3× 990 1.0× 696 1.1× 349 0.6× 67 5.8k
Lennart Lindbom 3.5k 1.6× 2.0k 1.5× 956 1.0× 811 1.3× 317 0.6× 126 7.9k
Bassel E. Sawaya 1.6k 0.7× 2.2k 1.6× 763 0.8× 526 0.8× 337 0.6× 96 6.1k

Countries citing papers authored by Kenji Sekikawa

Since Specialization
Citations

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

Fields of papers citing papers by Kenji Sekikawa

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kenji Sekikawa

This figure shows the co-authorship network connecting the top 25 collaborators of Kenji Sekikawa. A scholar is included among the top collaborators of Kenji Sekikawa 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 Kenji Sekikawa. Kenji Sekikawa 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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