Kanako Hayashi

4.4k total citations · 1 hit paper
96 papers, 3.2k citations indexed

About

Kanako Hayashi is a scholar working on Molecular Biology, Immunology and Reproductive Medicine. According to data from OpenAlex, Kanako Hayashi has authored 96 papers receiving a total of 3.2k indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Molecular Biology, 25 papers in Immunology and 22 papers in Reproductive Medicine. Recurrent topics in Kanako Hayashi's work include Reproductive System and Pregnancy (24 papers), Reproductive Physiology in Livestock (21 papers) and Reproductive Biology and Fertility (16 papers). Kanako Hayashi is often cited by papers focused on Reproductive System and Pregnancy (24 papers), Reproductive Physiology in Livestock (21 papers) and Reproductive Biology and Fertility (16 papers). Kanako Hayashi collaborates with scholars based in United States, Japan and Canada. Kanako Hayashi's co-authors include Thomas E. Spencer, James A. MacLean, Mingxin Shi, Nikola Sekulovski, Akio Miyamoto, Robert C. Burghardt, Karen Carpenter, Fuller W. Bazer, Kathrin A. Dunlap and Masayuki Ohtani and has published in prestigious journals such as Proceedings of the National Academy of Sciences, The Journal of Chemical Physics and PLoS ONE.

In The Last Decade

Kanako Hayashi

91 papers receiving 3.2k citations

Hit Papers

Progesterone Actions and ... 2022 2026 2023 2024 2022 25 50 75

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Kanako Hayashi United States 32 1.2k 983 931 711 627 96 3.2k
Susanne E. Ulbrich Germany 31 1.4k 1.2× 928 0.9× 469 0.5× 1.8k 2.5× 1.1k 1.7× 133 3.5k
Henning M. Beier Germany 23 646 0.6× 482 0.5× 572 0.6× 266 0.4× 810 1.3× 59 1.9k
S. Hamamah France 40 1.1k 1.0× 1.8k 1.8× 2.7k 2.9× 193 0.3× 2.7k 4.3× 216 5.7k
James A. MacLean United States 36 1.5k 1.3× 1.3k 1.4× 658 0.7× 62 0.1× 458 0.7× 76 4.5k
Séverine A. Degrelle France 24 624 0.5× 753 0.8× 112 0.1× 458 0.6× 499 0.8× 63 1.9k
Paolo Rinaudo United States 32 393 0.3× 1.0k 1.0× 1.0k 1.1× 135 0.2× 1.8k 2.9× 93 3.3k
Kylie R. Dunning Australia 25 367 0.3× 926 0.9× 1.1k 1.1× 254 0.4× 1.7k 2.7× 66 3.0k
Christopher A. Price Canada 37 317 0.3× 1.2k 1.2× 813 0.9× 1.3k 1.8× 1.7k 2.7× 161 3.6k
Gilles Frenette Canada 32 471 0.4× 1.3k 1.4× 1.7k 1.8× 151 0.2× 814 1.3× 74 3.3k
Michael Hoelker Germany 37 952 0.8× 1.9k 2.0× 786 0.8× 787 1.1× 1.8k 2.9× 114 3.8k

Countries citing papers authored by Kanako Hayashi

Since Specialization
Citations

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

Fields of papers citing papers by Kanako Hayashi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kanako Hayashi

This figure shows the co-authorship network connecting the top 25 collaborators of Kanako Hayashi. A scholar is included among the top collaborators of Kanako Hayashi 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 Kanako Hayashi. Kanako Hayashi is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Hayashi, Kanako & James A. MacLean. (2025). RHOX Homeobox Transcription Factor Regulation of Ins2 in Rodent Granulosa Cells. Cells. 14(7). 478–478.
3.
Shi, Mingxin, James A. MacLean, & Kanako Hayashi. (2024). The involvement of peritoneal GATA6+ macrophages in the pathogenesis of endometriosis. Frontiers in Immunology. 15. 1396000–1396000.
4.
MacLean, James A. & Kanako Hayashi. (2022). Progesterone Actions and Resistance in Gynecological Disorders. Cells. 11(4). 647–647. 96 indexed citations breakdown →
5.
Zhao, Liang, et al.. (2022). Niclosamide targets the dynamic progression of macrophages for the resolution of endometriosis in a mouse model. Communications Biology. 5(1). 1225–1225. 10 indexed citations
6.
Shi, Mingxin, Liang Zhao, James A. MacLean, et al.. (2021). Vapor Cannabis Exposure Generationally Affects Male Reproductive Functions in Mice. Toxicological Sciences. 185(2). 128–142. 3 indexed citations
7.
Sekulovski, Nikola, et al.. (2021). Insulin signaling is an essential regulator of endometrial proliferation and implantation in mice. The FASEB Journal. 35(4). e21440–e21440. 24 indexed citations
8.
Shi, Mingxin, et al.. (2021). Efficacy of niclosamide on the intra‐abdominal inflammatory environment in endometriosis. The FASEB Journal. 35(5). e21584–e21584. 11 indexed citations
9.
Shi, Mingxin, et al.. (2019). Prenatal Exposure to Bisphenol A, E, and S Induces Transgenerational Effects on Female Reproductive Functions in Mice. Toxicological Sciences. 170(2). 320–329. 38 indexed citations
10.
Shi, Mingxin, et al.. (2019). Prenatal Exposure to Bisphenol A Analogues on Female Reproductive Functions in Mice. Toxicological Sciences. 168(2). 561–571. 54 indexed citations
11.
Shi, Mingxin, et al.. (2019). Prenatal Exposure to Bisphenol A, E, and S Induces Transgenerational Effects on Male Reproductive Functions in Mice. Toxicological Sciences. 172(2). 303–315. 64 indexed citations
12.
Shi, Mingxin, Nikola Sekulovski, James A. MacLean, & Kanako Hayashi. (2018). Prenatal Exposure to Bisphenol A Analogues on Male Reproductive Functions in Mice. Toxicological Sciences. 163(2). 620–631. 81 indexed citations
13.
Sekulovski, Nikola, et al.. (2018). Endometriotic inflammatory microenvironment induced by macrophages can be targeted by niclosamide†. Biology of Reproduction. 100(2). 398–408. 24 indexed citations
14.
León, Silvia, Daniela Fernandois, Michele D. Calder, et al.. (2016). Beyond the brain-Peripheral kisspeptin signaling is essential for promoting endometrial gland development and function. Scientific Reports. 6(1). 29073–29073. 28 indexed citations
15.
MacLean, James A., Mandy L. King, Hiroshi Okuda, & Kanako Hayashi. (2016). WNT7A Regulation by miR-15b in Ovarian Cancer. PLoS ONE. 11(5). e0156109–e0156109. 36 indexed citations
16.
Yoshioka, Shin, Mandy L. King, Sophia Ran, et al.. (2012). WNT7A Regulates Tumor Growth and Progression in Ovarian Cancer through the WNT/β-Catenin Pathway. Molecular Cancer Research. 10(3). 469–482. 141 indexed citations
17.
Hayashi, Kanako & Thomas E. Spencer. (2005). Estrogen Disruption of Neonatal Ovine Uterine Development: Effects on Gene Expression Assessed by Suppression Subtraction Hybridization1. Biology of Reproduction. 73(4). 752–760. 16 indexed citations
18.
Hayashi, Kanako, et al.. (2002). The cooperative action of angiotensin II with subluteolytic administration of PGF2α in inducing luteolysis and oestrus in the cow. Reproduction. 124(2). 311–315. 17 indexed citations
19.
Sotozono, Chie, Shigeru Kinoshita, Takashi Inoue, et al.. (2002). In Herpetic Cornea, Inflammatory Cytokines Predominate, While Th1 Cytokines Hold Virus Spread in the Trigeminal Ganglion. Investigative Ophthalmology & Visual Science. 43(13). 39–39. 1 indexed citations
20.
Watanabe, Yukio, Masahiro Tada, Akane Higashi, et al.. (1986). [A case-control study of diet and colo-rectal cancer in Japan].. PubMed. 32(6). 576–81. 1 indexed citations

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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