Ryo Nishimura

1.6k total citations
69 papers, 1.3k citations indexed

About

Ryo Nishimura is a scholar working on Agronomy and Crop Science, Public Health, Environmental and Occupational Health and Genetics. According to data from OpenAlex, Ryo Nishimura has authored 69 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Agronomy and Crop Science, 13 papers in Public Health, Environmental and Occupational Health and 11 papers in Genetics. Recurrent topics in Ryo Nishimura's work include Reproductive Physiology in Livestock (20 papers), Reproductive Biology and Fertility (11 papers) and Reproductive System and Pregnancy (8 papers). Ryo Nishimura is often cited by papers focused on Reproductive Physiology in Livestock (20 papers), Reproductive Biology and Fertility (11 papers) and Reproductive System and Pregnancy (8 papers). Ryo Nishimura collaborates with scholars based in Japan, Poland and United States. Ryo Nishimura's co-authors include Kiyoshi Okuda, Hiroshi Inomata, Masaru Watanabe, Yuichi Aizawa, Toru Iida, Tomás J. Acosta, Dariusz J. Skarżyński, Naganori Ishihara, Ryosuke Sakumoto and Masami Shibaya and has published in prestigious journals such as SHILAP Revista de lepidopterología, Scientific Reports and Chemical Engineering Journal.

In The Last Decade

Ryo Nishimura

65 papers receiving 1.3k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ryo Nishimura Japan 21 346 295 245 221 185 69 1.3k
Somnath Roy India 24 87 0.3× 133 0.5× 483 2.0× 201 0.9× 136 0.7× 120 1.8k
Shen Yan China 12 51 0.1× 108 0.4× 640 2.6× 541 2.4× 101 0.5× 23 1.3k
Ryo Yamaguchi Japan 18 29 0.1× 124 0.4× 311 1.3× 339 1.5× 86 0.5× 157 1.5k
M. Miyake Japan 26 50 0.1× 96 0.3× 470 1.9× 334 1.5× 37 0.2× 130 1.9k
Ruiqi Li China 19 16 0.0× 348 1.2× 197 0.8× 217 1.0× 154 0.8× 72 1.0k
Yaran Zhang China 21 52 0.2× 55 0.2× 32 0.1× 252 1.1× 68 0.4× 75 1.1k
Masayuki Kobayashi Japan 22 38 0.1× 185 0.6× 69 0.3× 716 3.2× 63 0.3× 132 1.7k
Zhiqiang Du China 25 34 0.1× 121 0.4× 35 0.1× 1.2k 5.7× 87 0.5× 94 2.2k
Fengling Chen China 18 33 0.1× 84 0.3× 46 0.2× 291 1.3× 61 0.3× 60 1.1k
Xiaohui Li China 17 12 0.0× 68 0.2× 146 0.6× 497 2.2× 81 0.4× 50 1.0k

Countries citing papers authored by Ryo Nishimura

Since Specialization
Citations

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

Fields of papers citing papers by Ryo Nishimura

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ryo Nishimura

This figure shows the co-authorship network connecting the top 25 collaborators of Ryo Nishimura. A scholar is included among the top collaborators of Ryo Nishimura 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 Ryo Nishimura. Ryo Nishimura 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.
Shimizu, Ikuo, Kiyoshi Shikino, Yukinori Harada, et al.. (2025). Differences in contributing factors to diagnostic errors between physicians and allied health professionals: a nationwide analysis in Japan. BMJ Open Quality. 14(4). e003419–e003419.
3.
HISHINUMA, Mitsugu, et al.. (2023). Three-dimensional morphology of bovine blastocysts hatched against lipopolysaccharide exposure in vitro. Reproductive Biology. 24(1). 100843–100843. 2 indexed citations
4.
HISHINUMA, Mitsugu, et al.. (2023). Hatchability evaluation of bovine IVF embryos using OCT-based 3D image analysis. Journal of Reproduction and Development. 69(5). 239–245. 4 indexed citations
5.
Yamamoto, Naoki, Ryo Nishimura, Takehito MORITA, et al.. (2022). Lipopolysaccharide (LPS) suppresses follicle development marker expression and enhances cytokine expressions, which results in fail to granulosa cell proliferation in developing follicle in cows. Reproductive Biology. 23(1). 100710–100710. 6 indexed citations
6.
Kobayashi, Masayoshi, et al.. (2021). Three-Dimensional Live Imaging of Bovine Preimplantation Embryos: A New Method for IVF Embryo Evaluation. Frontiers in Veterinary Science. 8. 639249–639249. 7 indexed citations
7.
Yoshida, Ken‐ichi, et al.. (2020). Identification of a repressor for the two iol operons required for inositol catabolism in Geobacillus kaustophilus. Microbiology. 167(1). 5 indexed citations
8.
Yamamoto, Naoki, et al.. (2020). Research of postpartum endometritis in Japanese Black cattle with cystic ovarian disease by vaginal mucus test and endometrial cytology. Archives animal breeding/Archiv für Tierzucht. 63(1). 1–8. 3 indexed citations
9.
Tsuka, Takeshi, Yoshiharu Okamoto, Yuji Sunden, et al.. (2020). Triple nostrils in a calf. Irish Veterinary Journal. 73(1). 19–19. 2 indexed citations
10.
Suzuki, Michio, Ryo Nishimura, Lumi Negishi, et al.. (2019). A unique methionine-rich protein–aragonite crystal complex: Structure and mechanical functions of the Pinctada fucata bivalve hinge ligament. Acta Biomaterialia. 100. 1–9. 8 indexed citations
11.
Tsuka, Takeshi, Ryo Nishimura, Mitsugu HISHINUMA, et al.. (2019). Reliability of ultrasonographic measurements of bovine sole structures in relation to sole horn thickness, measured by computed tomography, and sole horn hardness. Journal of Dairy Science. 102(11). 10105–10118. 4 indexed citations
12.
Arai, Miki, Shin Yoshioka, Ryo Nishimura, & Kiyoshi Okuda. (2014). FAS/FASL-mediated cell death in the bovine endometrium. Animal Reproduction Science. 151(3-4). 97–104. 14 indexed citations
14.
Tanaka, Masato, Ryo Nishimura, Toshiyuki Hosokawa, et al.. (2013). Humic acid induces the endothelial nitric oxide synthase phosphorylation at Ser1177 and Thr495 Via Hsp90α and Hsp90β upregulation in human umbilical vein endothelial cells. Environmental Toxicology. 30(2). 223–231. 4 indexed citations
16.
Yamashita, Yasuhisa, Ikko Kawashima, Tetsuji Okazaki, et al.. (2011). Positive Feedback Loop Between Prostaglandin E2 and EGF-Like Factors Is Essential for Sustainable Activation of MAPK3/1 in Cumulus Cells During In Vitro Maturation of Porcine Cumulus Oocyte Complexes1. Biology of Reproduction. 85(5). 1073–1082. 32 indexed citations
17.
Nishimura, Ryo, et al.. (2010). Expressions of apoptosis-regulating factors in bovine retained placenta. Placenta. 32(1). 20–26. 23 indexed citations
18.
Komiyama, Junichi, Ryo Nishimura, Ryosuke Sakumoto, et al.. (2008). Cortisol Is a Suppressor of Apoptosis in Bovine Corpus Luteum1. Biology of Reproduction. 78(5). 888–895. 50 indexed citations
19.
Komiyama, Junichi, Ryo Nishimura, Hwa‐Yong Lee, et al.. (2007). GLUCOCORTICOID IS A SUPPRESSOR OF APOPTOSIS IN BOVINE CORPUS LUTEUM. Biology of Reproduction. 77(Suppl_1). 139–139. 1 indexed citations
20.
Nishimura, Ryo, et al.. (2006). Multidisciplinary Treatment of Mandibular Prognathism with Multiple Congenitally Missing Teeth. The Bulletin of Tokyo Dental College. 47(1). 25–31. 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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