Yuto Ishikawa

57 total papers · 1.1k total citations
33 papers, 639 citations indexed

About

Yuto Ishikawa is a scholar working on Molecular Biology, Surgery and Neurology. According to data from OpenAlex, Yuto Ishikawa has authored 33 papers receiving a total of 639 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Molecular Biology, 5 papers in Surgery and 5 papers in Neurology. Recurrent topics in Yuto Ishikawa's work include Surgical Simulation and Training (3 papers), Heat shock proteins research (3 papers) and Cardiac, Anesthesia and Surgical Outcomes (2 papers). Yuto Ishikawa is often cited by papers focused on Surgical Simulation and Training (3 papers), Heat shock proteins research (3 papers) and Cardiac, Anesthesia and Surgical Outcomes (2 papers). Yuto Ishikawa collaborates with scholars based in Japan, United States and India. Yuto Ishikawa's co-authors include Rumi Minami, Yoshihiko Kitoh, Hajime Nakamura, Naoko Narita, Hisahide Nishio, Masafumi Matsuo, John R. Bach, Alice Tzeng, Rajsekar R. Rajaraman and Teena Bansal and has published in prestigious journals such as Journal of Biological Chemistry, Journal of Clinical Investigation and SHILAP Revista de lepidopterología.

In The Last Decade

Yuto Ishikawa

31 papers receiving 603 citations

Author Peers

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

Author Last Decade Papers Cites
Yuto Ishikawa 333 128 112 63 57 33 639
Jeanette Blomfield 174 0.5× 126 1.0× 72 0.6× 31 0.5× 82 1.4× 28 777
Hua Yuan 319 1.0× 45 0.4× 46 0.4× 36 0.6× 42 0.7× 32 787
Shantel Vital 352 1.1× 77 0.6× 65 0.6× 80 1.3× 46 0.8× 29 779
Weiwei Yuan 380 1.1× 84 0.7× 46 0.4× 26 0.4× 50 0.9× 41 694
Mei Jia 333 1.0× 86 0.7× 47 0.4× 116 1.8× 72 1.3× 63 748
Dandan Shi 235 0.7× 43 0.3× 49 0.4× 24 0.4× 70 1.2× 51 753
Annegret Reinhold 175 0.5× 105 0.8× 30 0.3× 60 1.0× 71 1.2× 43 771
Tuantuan Zhao 346 1.0× 41 0.3× 104 0.9× 83 1.3× 39 0.7× 20 793
Cuiling Liu 171 0.5× 55 0.4× 40 0.4× 54 0.9× 106 1.9× 37 721
Kay A. Criswell 202 0.6× 72 0.6× 36 0.3× 33 0.5× 51 0.9× 29 580

Countries citing papers authored by Yuto Ishikawa

Since Specialization
Citations

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

Fields of papers citing papers by Yuto Ishikawa

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yuto Ishikawa

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