Y Isayama

72 total papers · 698 total citations
50 papers, 581 citations indexed

About

Y Isayama is a scholar working on Microbiology, Endocrinology and Small Animals. According to data from OpenAlex, Y Isayama has authored 50 papers receiving a total of 581 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Microbiology, 13 papers in Endocrinology and 9 papers in Small Animals. Recurrent topics in Y Isayama's work include Microbial infections and disease research (13 papers), Escherichia coli research studies (9 papers) and Bacterial Infections and Vaccines (7 papers). Y Isayama is often cited by papers focused on Microbial infections and disease research (13 papers), Escherichia coli research studies (9 papers) and Bacterial Infections and Vaccines (7 papers). Y Isayama collaborates with scholars based in Japan, United Kingdom and United States. Y Isayama's co-authors include Chihiro Sugimoto, Muneo NAKAZAWA, Hitoshi Ishikawa, Kunihiko Kobayashi, Hiroshi Watanabe, Riichi Sakazaki, Yuichi Yokomizo, Kenji Mitani, Masayuki Honda and Masanori KUBO and has published in prestigious journals such as The Journal of Immunology, Journal of Clinical Microbiology and Antimicrobial Agents and Chemotherapy.

In The Last Decade

Y Isayama

47 papers receiving 510 citations

Author Peers

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

Author Last Decade Papers Cites
Y Isayama 207 178 176 103 89 50 581
Robert Söderlund 187 0.9× 123 0.7× 231 1.3× 78 0.8× 48 0.5× 51 641
Brad M. DeBey 76 0.4× 137 0.8× 167 0.9× 147 1.4× 138 1.6× 43 669
Reneé D. Dewell 84 0.4× 106 0.6× 168 1.0× 49 0.5× 160 1.8× 37 565
Ruth M. Kennan 79 0.4× 182 1.0× 101 0.6× 152 1.5× 124 1.4× 24 588
Kristin A. Clothier 53 0.3× 196 1.1× 103 0.6× 53 0.5× 93 1.0× 38 529
P. L. Runnels 141 0.7× 65 0.4× 236 1.3× 69 0.7× 81 0.9× 17 522
Andrew Pointon 111 0.5× 87 0.5× 107 0.6× 104 1.0× 80 0.9× 46 670
Patrizia Robino 73 0.4× 159 0.9× 110 0.6× 61 0.6× 50 0.6× 49 571
Robab Katani 190 0.9× 52 0.3× 262 1.5× 151 1.5× 76 0.9× 33 608
Nílson Roberti Benites 60 0.3× 89 0.5× 111 0.6× 110 1.1× 118 1.3× 77 621

Countries citing papers authored by Y Isayama

Since Specialization
Citations

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

Fields of papers citing papers by Y Isayama

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Y Isayama

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