Yojiro Yanagawa

3.5k total citations
122 papers, 2.7k citations indexed

About

Yojiro Yanagawa is a scholar working on Public Health, Environmental and Occupational Health, Reproductive Medicine and Agronomy and Crop Science. According to data from OpenAlex, Yojiro Yanagawa has authored 122 papers receiving a total of 2.7k indexed citations (citations by other indexed papers that have themselves been cited), including 41 papers in Public Health, Environmental and Occupational Health, 37 papers in Reproductive Medicine and 29 papers in Agronomy and Crop Science. Recurrent topics in Yojiro Yanagawa's work include Reproductive Biology and Fertility (41 papers), Reproductive Physiology in Livestock (28 papers) and Sperm and Testicular Function (26 papers). Yojiro Yanagawa is often cited by papers focused on Reproductive Biology and Fertility (41 papers), Reproductive Physiology in Livestock (28 papers) and Sperm and Testicular Function (26 papers). Yojiro Yanagawa collaborates with scholars based in Japan, United States and Germany. Yojiro Yanagawa's co-authors include Kenta Obata, Masashi Nagano, Jason L. Nathanson, Edward M. Callaway, Seiji Katagiri, Weiping Huang, Yoshiyuki Takahashi, Sung-Sik Kang, Kenichiro Sakaguchi and Masumi Hirabayashi and has published in prestigious journals such as Journal of Biological Chemistry, Journal of Neuroscience and The Journal of Immunology.

In The Last Decade

Yojiro Yanagawa

120 papers receiving 2.7k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yojiro Yanagawa Japan 27 943 930 473 401 399 122 2.7k
Jens Vanselow Germany 32 998 1.1× 1.3k 1.4× 590 1.2× 780 1.9× 109 0.3× 101 3.3k
Masugi Nishihara Japan 38 446 0.5× 1.7k 1.8× 256 0.5× 565 1.4× 141 0.4× 186 5.5k
Martine Migaud France 25 1.1k 1.1× 906 1.0× 123 0.3× 357 0.9× 299 0.7× 46 2.7k
Henryk F. Urbanski United States 35 570 0.6× 709 0.8× 292 0.6× 822 2.0× 294 0.7× 157 4.3k
Qun‐Yong Zhou United States 30 1.8k 1.9× 1.5k 1.7× 151 0.3× 446 1.1× 473 1.2× 55 4.4k
Marc E. Freeman United States 28 670 0.7× 653 0.7× 164 0.3× 484 1.2× 217 0.5× 70 4.0k
Louise M. Bilezikjian United States 37 1.0k 1.1× 3.0k 3.2× 604 1.3× 843 2.1× 176 0.4× 62 7.3k
Lothar Jennes United States 35 1.8k 1.9× 1.2k 1.3× 208 0.4× 496 1.2× 334 0.8× 97 4.7k
Audrey F. Seasholtz United States 36 880 0.9× 1.4k 1.5× 152 0.3× 516 1.3× 241 0.6× 69 4.2k
Fuliang Du United States 23 591 0.6× 923 1.0× 771 1.6× 514 1.3× 258 0.6× 72 2.0k

Countries citing papers authored by Yojiro Yanagawa

Since Specialization
Citations

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

Fields of papers citing papers by Yojiro Yanagawa

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yojiro Yanagawa

This figure shows the co-authorship network connecting the top 25 collaborators of Yojiro Yanagawa. A scholar is included among the top collaborators of Yojiro Yanagawa 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 Yojiro Yanagawa. Yojiro Yanagawa 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
3.
Sakamoto, Kentaro Q., et al.. (2022). Relationship between frame rates and subpopulation structure of bovine sperm divided by their motility analyzed by a computer‐assisted sperm analysis system. Animal Science Journal. 93(1). e13796–e13796. 3 indexed citations
6.
Yanagawa, Yojiro, et al.. (2020). Identification of bovine seminal plasma proteins with an activity to normalize endometrial epidermal growth factor concentrations in repeat breeder cows.. Jūigaku kenkyū/Japanese journal of veterinary research. 68(2). 91–103. 3 indexed citations
7.
Sakaguchi, Kenichiro, et al.. (2019). Relationships between the antral follicle count, steroidogenesis, and secretion of follicle-stimulating hormone and anti-Müllerian hormone during follicular growth in cattle. Reproductive Biology and Endocrinology. 17(1). 88–88. 22 indexed citations
8.
Matsumoto, Naoya, et al.. (2019). Monitoring follicular dynamics using ultrasonography in captive brown bears (Ursus arctos) during the breeding season. Theriogenology. 140. 164–170. 2 indexed citations
9.
Sakaguchi, Kenichiro, et al.. (2018). Effect of astaxanthin addition to an individual culture system for in vitro maturation of bovine oocytes on accumulation of reactive oxygen species and mitochondrial activity. Jūigaku kenkyū/Japanese journal of veterinary research. 66(4). 325–329. 3 indexed citations
10.
Seta, Yuji, Takashi Toyono, Shinji Kataoka, et al.. (2014). Expression of GAD67 and Dlx5 in the Taste Buds of Mice Genetically Lacking Mash1. Chemical Senses. 39(5). 403–414. 16 indexed citations
12.
Yanagawa, Yojiro, Yoshiyuki Takahashi, Seiji Katagiri, et al.. (2014). Effects of ovarian storage condition on in vitro maturation of Hokkaido sika deer (Cervus nippon yesoensis) oocytes.. Hokkaido University Collection of Scholarly and Academic Papers (Hokkaido University). 62(4). 187–92. 6 indexed citations
13.
14.
Shino, Masato, Ryosuke Kaneko, Yojiro Yanagawa, Yasuo Kawaguchi, & Yasuhiko Saito. (2011). Electrophysiological characteristics of inhibitory neurons of the prepositus hypoglossi nucleus as analyzed in Venus-expressing transgenic rats. Neuroscience. 197. 89–98. 12 indexed citations
15.
Nowak, Anna K., Rebecca Chapman, Yojiro Yanagawa, et al.. (2011). Kv3.1b and Kv3.3 channel subunit expression in murine spinal dorsal horn GABAergic interneurones. Journal of Chemical Neuroanatomy. 42(1). 30–38. 11 indexed citations
16.
Brederode, J. F. M. van, Yojiro Yanagawa, & A. J. Berger. (2010). GAD67-GFP+ Neurons in the Nucleus of Roller: A Possible Source of Inhibitory Input to Hypoglossal Motoneurons. I. Morphology and Firing Properties. Journal of Neurophysiology. 105(1). 235–248. 19 indexed citations
17.
Yamagata, Yoko, Shizuka Kobayashi, Tatsuya Umeda, et al.. (2009). Kinase-Dead Knock-In Mouse Reveals an Essential Role of Kinase Activity of Ca2+/Calmodulin-Dependent Protein Kinase II  in Dendritic Spine Enlargement, Long-Term Potentiation, and Learning. Journal of Neuroscience. 29(23). 7607–7618. 110 indexed citations
18.
Yanagawa, Yojiro, Yukiko Matsuura, Masatsugu Suzuki, Seiji Katagiri, & Toshio Tsubota. (2008). Immunohistochemical localization of the estrogen receptor alpha (ERalpha) and progesterone receptor (PR) in the uterus of sika deer (Cervus nippon) during pregnancy.. PubMed. 56(3). 139–49. 3 indexed citations
19.
Kohwi, Minoree, Jason E. Long, Marc Ekker, et al.. (2007). A Subpopulation of Olfactory Bulb GABAergic Interneurons Is Derived from Emx1- and Dlx5/6-Expressing Progenitors. Journal of Neuroscience. 27(26). 6878–6891. 203 indexed citations
20.
Nishimura, Y., Takeshi Inamitsu, Yojiro Yanagawa, et al.. (1990). Expression of the human MHC, HLA-DQW6 genes alters the immune response in C57BL/6 mice.. The Journal of Immunology. 145(1). 353–360. 32 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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