Kinya Ito

22 total papers · 505 total citations
14 papers, 386 citations indexed

About

Kinya Ito is a scholar working on Molecular Biology, Genetics and Nature and Landscape Conservation. According to data from OpenAlex, Kinya Ito has authored 14 papers receiving a total of 386 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Molecular Biology, 4 papers in Genetics and 3 papers in Nature and Landscape Conservation. Recurrent topics in Kinya Ito's work include Mesenchymal stem cell research (3 papers), Plant Water Relations and Carbon Dynamics (2 papers) and Epigenetics and DNA Methylation (2 papers). Kinya Ito is often cited by papers focused on Mesenchymal stem cell research (3 papers), Plant Water Relations and Carbon Dynamics (2 papers) and Epigenetics and DNA Methylation (2 papers). Kinya Ito collaborates with scholars based in Japan, United States and Iran. Kinya Ito's co-authors include Junya Toguchida, Moritoshi Furu, Takashi Nakamura, Kenichi Fukiage, Seiji Otsuka, Tomitaka Nakayama, Shunsuke Fujibayashi, Kotaro R. Shibata, Masashi Neo and Tomoki Aoyama and has published in prestigious journals such as Journal of Biological Chemistry, PLoS ONE and Biochemical and Biophysical Research Communications.

In The Last Decade

Kinya Ito

14 papers receiving 381 citations

Author Peers

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

Author Last Decade Papers Cites
Kinya Ito 206 126 111 70 43 14 386
Yoshinao Oki 107 0.5× 186 1.5× 70 0.6× 96 1.4× 15 0.3× 12 364
Luis Mariñas‐Pardo 157 0.8× 82 0.7× 88 0.8× 17 0.2× 11 0.3× 21 342
Ryan W. Carlin 170 0.8× 198 1.6× 128 1.2× 22 0.3× 7 0.2× 10 426
Xenia Kaidonis 83 0.4× 166 1.3× 64 0.6× 111 1.6× 8 0.2× 14 378
Tracey Brown 51 0.2× 121 1.0× 70 0.6× 39 0.6× 8 0.2× 8 405
Katarzyna Jańczyk‐Ilach 118 0.6× 243 1.9× 133 1.2× 36 0.5× 3 0.1× 18 373
S. François 194 0.9× 117 0.9× 107 1.0× 61 0.9× 2 0.0× 17 381
Michael A. Byers 180 0.9× 66 0.5× 111 1.0× 10 0.1× 26 0.6× 7 370
Peggy Anderson 81 0.4× 143 1.1× 54 0.5× 23 0.3× 3 0.1× 16 401
Sanga Gehmert 212 1.0× 106 0.8× 164 1.5× 38 0.5× 2 0.0× 10 412

Countries citing papers authored by Kinya Ito

Since Specialization
Citations

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

Fields of papers citing papers by Kinya Ito

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kinya Ito

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