Shoichi Katayama

50 total papers · 1.5k total citations
34 papers, 1.1k citations indexed

About

Shoichi Katayama is a scholar working on Endocrinology, Diabetes and Metabolism, Molecular Biology and Surgery. According to data from OpenAlex, Shoichi Katayama has authored 34 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Endocrinology, Diabetes and Metabolism, 7 papers in Molecular Biology and 6 papers in Surgery. Recurrent topics in Shoichi Katayama's work include Thyroid Cancer Diagnosis and Treatment (13 papers), Ovarian cancer diagnosis and treatment (5 papers) and Head and Neck Anomalies (4 papers). Shoichi Katayama is often cited by papers focused on Thyroid Cancer Diagnosis and Treatment (13 papers), Ovarian cancer diagnosis and treatment (5 papers) and Head and Neck Anomalies (4 papers). Shoichi Katayama collaborates with scholars based in Japan, United States and India. Shoichi Katayama's co-authors include Akira Miyauchi, Kanji Kuma, Fumio Matsuzuka, Masahiro Sugawara, Hiroshi Ikeda, Isamu Narabayashi, Kennichi Kakudo, Sunao Matsubayashi, Hajime Tamai and Akira Kobayashi and has published in prestigious journals such as The Journal of Clinical Endocrinology & Metabolism, Cancer and Annals of the New York Academy of Sciences.

In The Last Decade

Shoichi Katayama

33 papers receiving 998 citations

Author Peers

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

Author Last Decade Papers Cites
Shoichi Katayama 551 331 208 168 148 34 1.1k
Dong Yeob Shin 727 1.3× 141 0.4× 300 1.4× 312 1.9× 58 0.4× 73 1.3k
Simone De Leo 897 1.6× 194 0.6× 160 0.8× 266 1.6× 36 0.2× 39 1.3k
H.J.M. van Rijn 272 0.5× 316 1.0× 74 0.4× 349 2.1× 59 0.4× 59 1.5k
Yefeng Cai 325 0.6× 244 0.7× 74 0.4× 381 2.3× 88 0.6× 63 1.1k
Miguel Melo 615 1.1× 176 0.5× 121 0.6× 273 1.6× 31 0.2× 60 1.1k
Klaus Kusterer 236 0.4× 403 1.2× 78 0.4× 221 1.3× 78 0.5× 51 1.1k
Shu Wang 422 0.8× 115 0.3× 185 0.9× 494 2.9× 57 0.4× 45 1.3k
Francesca Urbano 407 0.7× 237 0.7× 55 0.3× 233 1.4× 68 0.5× 35 1.0k
Håkan Malmström 151 0.3× 150 0.5× 125 0.6× 249 1.5× 121 0.8× 35 1.1k
Tamotsu Yokota 313 0.6× 183 0.6× 93 0.4× 591 3.5× 39 0.3× 37 1.4k

Countries citing papers authored by Shoichi Katayama

Since Specialization
Citations

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

Fields of papers citing papers by Shoichi Katayama

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shoichi Katayama

This figure shows the co-authorship network connecting the top 25 collaborators of Shoichi Katayama. A scholar is included among the top collaborators of Shoichi Katayama 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 Shoichi Katayama. Shoichi Katayama 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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2026