H. Ito

382 total papers · 3.2k total citations
8 papers, 128 citations indexed

About

H. Ito is a scholar working on Pathology and Forensic Medicine, Surgery and Orthopedics and Sports Medicine. According to data from OpenAlex, H. Ito has authored 8 papers receiving a total of 128 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Pathology and Forensic Medicine, 2 papers in Surgery and 2 papers in Orthopedics and Sports Medicine. Recurrent topics in H. Ito's work include Bone health and osteoporosis research (2 papers), Sexual Differentiation and Disorders (1 paper) and Connective tissue disorders research (1 paper). H. Ito is often cited by papers focused on Bone health and osteoporosis research (2 papers), Sexual Differentiation and Disorders (1 paper) and Connective tissue disorders research (1 paper). H. Ito collaborates with scholars based in Japan, China and Brazil. H. Ito's co-authors include Eiji Itoi, Naohisa Miyakoshi, Ikuko Wakabayashi, Hajime Murai, Yoichi Shimada, Hiroshi Nanjo, Kyoji Okada, Hiroaki Kijima, Hiroyuki Watanabe and Takeshi Ohba and has published in prestigious journals such as The Journal of Clinical Endocrinology & Metabolism, Spine and Journal of Molecular and Cellular Cardiology.

In The Last Decade

H. Ito

8 papers receiving 124 citations

Author Peers

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

Author Last Decade Papers Cites
H. Ito 63 42 38 30 29 8 128
Olivier Heck 120 1.9× 91 2.2× 74 1.9× 20 0.7× 21 0.7× 11 234
Francesca E. Ludwinski 101 1.6× 59 1.4× 99 2.6× 18 0.6× 41 1.4× 10 213
Annu Näkki 117 1.9× 118 2.8× 50 1.3× 84 2.8× 18 0.6× 8 249
Linda Denise Fernandes Moreira 40 0.6× 13 0.3× 43 1.1× 10 0.3× 14 0.5× 8 246
David G. Malone 200 3.2× 117 2.8× 176 4.6× 33 1.1× 25 0.9× 11 291
Jay E. Bowen 21 0.3× 26 0.6× 152 4.0× 30 1.0× 11 0.4× 6 246
J. P. Simonds 163 2.6× 77 1.8× 163 4.3× 10 0.3× 31 1.1× 8 227
M. Ryan 37 0.6× 26 0.6× 210 5.5× 29 1.0× 39 1.3× 10 285
Holly Bacon 13 0.2× 34 0.8× 137 3.6× 25 0.8× 4 0.1× 8 249
Hanna Mass 181 2.9× 108 2.6× 140 3.7× 17 0.6× 60 2.1× 5 234

Countries citing papers authored by H. Ito

Since Specialization
Citations

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

Fields of papers citing papers by H. Ito

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of H. Ito

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