S. Nishimura

990 total citations
24 papers, 718 citations indexed

About

S. Nishimura is a scholar working on Plant Science, Genetics and Molecular Biology. According to data from OpenAlex, S. Nishimura has authored 24 papers receiving a total of 718 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Plant Science, 7 papers in Genetics and 6 papers in Molecular Biology. Recurrent topics in S. Nishimura's work include Genetic and phenotypic traits in livestock (6 papers), Fungal Plant Pathogen Control (5 papers) and Mycotoxins in Agriculture and Food (5 papers). S. Nishimura is often cited by papers focused on Genetic and phenotypic traits in livestock (6 papers), Fungal Plant Pathogen Control (5 papers) and Mycotoxins in Agriculture and Food (5 papers). S. Nishimura collaborates with scholars based in Japan, Taiwan and United States. S. Nishimura's co-authors include Keisuke Kohmoto, Yoshikazu Sugimoto, Toshio Watanabe, Akiko Takasuga, Kazunori Mizoshita, K. Tatsuda, Tatsuo Fujita, Naoto Watanabe, Hiroshi Otani and Shinji Sasaki and has published in prestigious journals such as PLoS ONE, Annual Review of Phytopathology and Carbohydrate Research.

In The Last Decade

S. Nishimura

22 papers receiving 685 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
S. Nishimura Japan 13 331 274 203 171 160 24 718
Zhuliang Yang China 11 166 0.5× 88 0.3× 94 0.5× 73 0.4× 135 0.8× 30 426
Xinlun Liu China 15 590 1.8× 111 0.4× 20 0.1× 59 0.3× 229 1.4× 43 753
Pan Xu China 12 156 0.5× 148 0.5× 40 0.2× 23 0.1× 220 1.4× 41 447
Samiullah Khan China 8 206 0.6× 68 0.2× 37 0.2× 178 1.0× 97 0.6× 23 348
Yousheng Rao China 14 324 1.0× 152 0.6× 38 0.2× 17 0.1× 219 1.4× 48 638
P. M. Corva Argentina 16 56 0.2× 350 1.3× 24 0.1× 87 0.5× 90 0.6× 42 572
Keliang Wu China 10 332 1.0× 145 0.5× 30 0.1× 17 0.1× 429 2.7× 29 662
V. Dinesh Kumar India 19 555 1.7× 183 0.7× 67 0.3× 33 0.2× 565 3.5× 57 898
Zexi Cai Denmark 14 175 0.5× 295 1.1× 23 0.1× 17 0.1× 139 0.9× 38 514

Countries citing papers authored by S. Nishimura

Since Specialization
Citations

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

Fields of papers citing papers by S. Nishimura

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of S. Nishimura

This figure shows the co-authorship network connecting the top 25 collaborators of S. Nishimura. A scholar is included among the top collaborators of S. 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 S. Nishimura. S. 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.
Taniguchi, Akito, S. Nishimura, & Mitsuru Eguchi. (2024). Coral mucus effects on bacterial growth, respiration, and grazing mortality in reef systems. Journal of Experimental Marine Biology and Ecology. 573. 152003–152003.
2.
3.
Kitamura, Shota, N. Kimizuka, Koichi Baba, et al.. (2022). Low-Noise Multi-Gate Pixel Transistor for Sub-Micron Pixel CMOS Image Sensors. 2022 IEEE Symposium on VLSI Technology and Circuits (VLSI Technology and Circuits). 347–348.
4.
Visser, Lance C., et al.. (2019). Echocardiographic assessment of right heart size and function in dogs with pulmonary valve stenosis. Journal of Veterinary Cardiology. 26. 19–28. 12 indexed citations
5.
Hirano, Takashi, S. Nishimura, Hiromi Hara, Yoshikazu Sugimoto, & Kei HANZAWA. (2017). Mapping of Calf Death in Japanese Black Cattle. Animal Biotechnology. 28(4). 242–247. 2 indexed citations
6.
Sasaki, Shinji, Toshio Watanabe, S. Nishimura, & Yoshikazu Sugimoto. (2016). Genome-wide identification of copy number variation using high-density single-nucleotide polymorphism array in Japanese Black cattle. BMC Genetics. 17(1). 26–26. 25 indexed citations
7.
Ogawa, Shinichiro, Hirokazu Matsuda, Yukio Taniguchi, et al.. (2014). Effects of single nucleotide polymorphism marker density on degree of genetic variance explained and genomic evaluation for carcass traits in Japanese Black beef cattle. BMC Genetics. 15(1). 15–15. 27 indexed citations
8.
Watanabe, Toshio, Hirokazu Matsuda, Aisaku Arakawa, et al.. (2013). Estimation of variance components for carcass traits in Japanese Black cattle using 50K SNP genotype data. Animal Science Journal. 85(1). 1–7. 10 indexed citations
9.
Nishimura, S., Toshio Watanabe, Atsushi Ogino, et al.. (2012). Application of highly differentiated SNPs between Japanese Black and Holstein to a breed assignment test between Japanese Black and F1 (Japanese Black x Holstein) and Holstein. Animal Science Journal. 84(1). 1–7. 4 indexed citations
10.
Nishimura, S., Toshio Watanabe, Kazunori Mizoshita, et al.. (2012). Genome-wide association study identified three major QTL for carcass weight including the PLAG1-CHCHD7 QTN for stature in Japanese Black cattle. BMC Genetics. 13(1). 40–40. 138 indexed citations
11.
Sugimoto, Mayumi, Shinji Sasaki, Toshio Watanabe, et al.. (2010). Ionotropic Glutamate Receptor AMPA 1 Is Associated with Ovulation Rate. PLoS ONE. 5(11). e13817–e13817. 31 indexed citations
12.
Yamada, Takahisa, Masayuki Itoh, S. Nishimura, et al.. (2008). Association of single nucleotide polymorphisms in the endothelial differentiation sphingolipid G‐protein‐coupled receptor 1 gene with marbling in Japanese Black beef cattle. Animal Genetics. 40(2). 209–216. 31 indexed citations
13.
Sasaki, Yusuke, Koutatsu Nagai, Y. Nagata, et al.. (2005). Exploration of genes showing intramuscular fat deposition‐associated expression changes in musculus longissimus muscle. Animal Genetics. 37(1). 40–46. 78 indexed citations
14.
Yamamoto, Mikihiro, S. Nakatsuka, Hiroshi Otani, Keisuke Kohmoto, & S. Nishimura. (2000). (+)-Catechin Acts as an Infection-Inhibiting Factor in Strawberry Leaf. Phytopathology. 90(6). 595–600. 53 indexed citations
15.
Kawazu, K., et al.. (1999). Identification of active substances in garlic [Allium sativum] responsible for breaking bud dormancy in grapevines. 1 indexed citations
16.
Lee, Seoung Soo, Takashi Tsuge, Noriyuki Doke, S. Nakatsuka, & S. Nishimura. (1992). Protective Effect of Homologues of Host‐Specific AF‐Toxin I Produced by Alternaria alternata Strawberry Pathotype on Strawberry Cells. Journal of Phytopathology. 135(3). 177–186. 2 indexed citations
17.
Kohmoto, Keisuke, et al.. (1984). Ultrastructural changes in host leaf cells caused by host-selective toxin of Alternaria alternata from rough lemon. Canadian Journal of Botany. 62(12). 2485–2492. 24 indexed citations
18.
Kohmoto, Keisuke, et al.. (1976). Multiple host-specific toxins of Alternaria mali and their effect on the permeability of host cells. Physiological Plant Pathology. 8(2). 141–153. 22 indexed citations
19.
Nishimura, S., et al.. (1974). HOST-SPECIFIC TOXINS AS AN INITIATION FACTOR FOR PATHOGENICITY IN ALTERNARIA KIKUCHIANA AND A. MALI. 5 indexed citations
20.
Nishimura, S., Keisuke Kohmoto, & Harushi Udagawa. (1973). Field emergence of fungicide-tolerant strains in Alternaria kikuchiana Tanaka.. 10. 677–686. 4 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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