Kunimasa Suzuki

57 total papers · 3.3k total citations
40 papers, 2.6k citations indexed

About

Kunimasa Suzuki is a scholar working on Genetics, Physiology and Surgery. According to data from OpenAlex, Kunimasa Suzuki has authored 40 papers receiving a total of 2.6k indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Genetics, 16 papers in Physiology and 13 papers in Surgery. Recurrent topics in Kunimasa Suzuki's work include Reproductive biology and impacts on aquatic species (15 papers), Pancreatic function and diabetes (13 papers) and Hypothalamic control of reproductive hormones (8 papers). Kunimasa Suzuki is often cited by papers focused on Reproductive biology and impacts on aquatic species (15 papers), Pancreatic function and diabetes (13 papers) and Hypothalamic control of reproductive hormones (8 papers). Kunimasa Suzuki collaborates with scholars based in Canada, United States and Japan. Kunimasa Suzuki's co-authors include Hiroshi Kawauchi, Yoshitaka Nagahama, Penny Swanson, Walton W. Dickhoff, Masumi Nozaki, Nobuko Naito, Hiromichi Itoh, Richard Peter, Glen Van Der Kraak and Patrick E. MacDonald and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Communications and The Journal of Immunology.

In The Last Decade

Kunimasa Suzuki

39 papers receiving 2.5k citations

Author Peers

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

Author Last Decade Papers Cites
Kunimasa Suzuki 1.8k 1.3k 844 830 316 40 2.6k
Maurice Loir 1.0k 0.6× 962 0.8× 1.0k 1.2× 540 0.7× 493 1.6× 77 2.3k
Jean‐Jacques Lareyre 2.2k 1.2× 2.0k 1.6× 1.3k 1.5× 789 1.0× 514 1.6× 51 3.4k
Claudine Weil 1.7k 0.9× 903 0.7× 518 0.6× 1.5k 1.7× 238 0.8× 50 2.7k
Philippa Melamed 928 0.5× 886 0.7× 630 0.7× 490 0.6× 843 2.7× 68 2.3k
Yong Zhu 1.1k 0.6× 1.6k 1.3× 731 0.9× 381 0.5× 917 2.9× 85 3.6k
R. de Leeuw 966 0.5× 446 0.4× 999 1.2× 584 0.7× 213 0.7× 56 1.9k
François Chauvigné 670 0.4× 550 0.4× 356 0.4× 455 0.5× 863 2.7× 73 2.1k
Frederick W. Goetz 933 0.5× 643 0.5× 188 0.2× 675 0.8× 418 1.3× 39 1.9k
P.M. Ingleton 417 0.2× 401 0.3× 161 0.2× 636 0.8× 547 1.7× 73 2.2k
Hirohiko Kagawa 3.3k 1.9× 1.9k 1.5× 1.1k 1.3× 2.1k 2.5× 250 0.8× 103 4.0k

Countries citing papers authored by Kunimasa Suzuki

Since Specialization
Citations

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

Fields of papers citing papers by Kunimasa Suzuki

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kunimasa Suzuki

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