Kohji Yano

47 total papers · 622 total citations
30 papers, 487 citations indexed

About

Kohji Yano is a scholar working on Reproductive Medicine, Public Health, Environmental and Occupational Health and Endocrinology, Diabetes and Metabolism. According to data from OpenAlex, Kohji Yano has authored 30 papers receiving a total of 487 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Reproductive Medicine, 8 papers in Public Health, Environmental and Occupational Health and 6 papers in Endocrinology, Diabetes and Metabolism. Recurrent topics in Kohji Yano's work include Reproductive Biology and Fertility (8 papers), Ovarian function and disorders (6 papers) and Endometriosis Research and Treatment (5 papers). Kohji Yano is often cited by papers focused on Reproductive Biology and Fertility (8 papers), Ovarian function and disorders (6 papers) and Endometriosis Research and Treatment (5 papers). Kohji Yano collaborates with scholars based in Japan and United States. Kohji Yano's co-authors include H. Suginami, Keiko Yamamura, Takashi Osada, Tsunehisa Sakurai, Keisuke Mizuno, Yuji Nimura, Satomi Saeki, Shumpei Matsuura, Toshitaka Nabeshima and Toshihisa Yotsuyanagi and has published in prestigious journals such as The Journal of Clinical Endocrinology & Metabolism, British Journal of Pharmacology and Fertility and Sterility.

In The Last Decade

Kohji Yano

29 papers receiving 472 citations

Author Peers

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

Author Last Decade Papers Cites
Kohji Yano 144 102 76 74 69 30 487
Mohsen Norouzian 144 1.0× 38 0.4× 45 0.6× 28 0.4× 82 1.2× 40 496
Bartłomiej Barczyński 146 1.0× 36 0.4× 11 0.1× 82 1.1× 29 0.4× 42 499
Tahereh Mazoochi 109 0.8× 85 0.8× 9 0.1× 39 0.5× 73 1.1× 38 521
Rita Malpique 85 0.6× 44 0.4× 11 0.1× 22 0.3× 127 1.8× 22 522
Ji Eun Lee 37 0.3× 41 0.4× 21 0.3× 19 0.3× 165 2.4× 25 510
Jaqueline de Carvalho Rinaldi 28 0.2× 83 0.8× 10 0.1× 27 0.4× 68 1.0× 35 496
Sohae Park 22 0.2× 26 0.3× 17 0.2× 23 0.3× 77 1.1× 20 443
Monireh Mahmoodi 154 1.1× 30 0.3× 18 0.2× 5 0.1× 57 0.8× 22 520
Wojciech Warchoł 62 0.4× 25 0.2× 5 0.1× 29 0.4× 47 0.7× 46 419
Sepideh Khodaverdi 334 2.3× 20 0.2× 8 0.1× 170 2.3× 40 0.6× 42 525

Countries citing papers authored by Kohji Yano

Since Specialization
Citations

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

Fields of papers citing papers by Kohji Yano

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kohji Yano

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