S. Nishimura

36 total papers · 964 total citations
24 papers, 716 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 716 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), Cancer-related molecular mechanisms research (5 papers) and Fungal Plant Pathogen Control (5 papers). S. Nishimura is often cited by papers focused on Genetic and phenotypic traits in livestock (6 papers), Cancer-related molecular mechanisms research (5 papers) and Fungal Plant Pathogen Control (5 papers). S. Nishimura collaborates with scholars based in Japan, United States and Taiwan. S. Nishimura's co-authors include Keisuke Kohmoto, Yoshikazu Sugimoto, Toshio Watanabe, Akiko Takasuga, K. Tatsuda, Naoto Watanabe, Kazunori Mizoshita, Tatsuo Fujita, 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 683 citations

Author Peers

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

Author Last Decade Papers Cites
S. Nishimura 331 273 203 171 158 24 716
Gastón Muñoz 410 1.2× 80 0.3× 200 1.0× 169 1.0× 225 1.4× 28 705
Xinlun Liu 585 1.8× 111 0.4× 20 0.1× 59 0.3× 228 1.4× 43 749
Xue Zhang 422 1.3× 86 0.3× 23 0.1× 39 0.2× 311 2.0× 35 711
Yu Chen 206 0.6× 259 0.9× 23 0.1× 31 0.2× 413 2.6× 45 748
Hao Zhang 301 0.9× 110 0.4× 74 0.4× 28 0.2× 394 2.5× 54 634
Kang Yu 383 1.2× 144 0.5× 33 0.2× 74 0.4× 438 2.8× 35 786
Yu Sheng 394 1.2× 117 0.4× 32 0.2× 30 0.2× 396 2.5× 36 668
Seongjun Park 204 0.6× 138 0.5× 275 1.4× 45 0.3× 605 3.8× 46 850
Alberto Acedo 313 0.9× 176 0.6× 25 0.1× 66 0.4× 432 2.7× 35 847
Feng Huang 519 1.6× 34 0.1× 81 0.4× 484 2.8× 332 2.1× 49 895

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

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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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