Yasuaki Nishimura

75 total papers · 1.8k total citations
56 papers, 1.4k citations indexed

About

Yasuaki Nishimura is a scholar working on Neurology, Molecular Biology and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Yasuaki Nishimura has authored 56 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Neurology, 14 papers in Molecular Biology and 13 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Yasuaki Nishimura's work include Intracranial Aneurysms: Treatment and Complications (10 papers), Renin-Angiotensin System Studies (8 papers) and Glioma Diagnosis and Treatment (8 papers). Yasuaki Nishimura is often cited by papers focused on Intracranial Aneurysms: Treatment and Complications (10 papers), Renin-Angiotensin System Studies (8 papers) and Glioma Diagnosis and Treatment (8 papers). Yasuaki Nishimura collaborates with scholars based in Japan, United States and Argentina. Yasuaki Nishimura's co-authors include Juan M. Saavedra, Takeshi Ito, Noboru Sakai, Yoshinori Nozawa, Katsunobu Takenaka, Kwang‐Lae Hoe, Hiromu Yamada, Shigeru Nakashima, Yoshiko Banno and Takashi Andoh and has published in prestigious journals such as Journal of Biological Chemistry, Stroke and Oncogene.

In The Last Decade

Yasuaki Nishimura

54 papers receiving 1.4k citations

Author Peers

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

Author Last Decade Papers Cites
Yasuaki Nishimura 607 406 314 151 148 56 1.4k
Haruki Yamakawa 655 1.1× 232 0.6× 291 0.9× 161 1.1× 195 1.3× 40 1.5k
Irina V. Smirnova 538 0.9× 236 0.6× 235 0.7× 103 0.7× 77 0.5× 61 1.8k
Sandrine Morel 807 1.3× 278 0.7× 330 1.1× 132 0.9× 243 1.6× 66 1.7k
Masuhisa Nakamura 626 1.0× 253 0.6× 130 0.4× 157 1.0× 185 1.3× 72 1.6k
David I. Barry 327 0.5× 286 0.7× 457 1.5× 148 1.0× 141 1.0× 54 1.5k
Rebecca Perry 270 0.4× 392 1.0× 267 0.9× 87 0.6× 135 0.9× 68 1.3k
Takeshi Ito 620 1.0× 506 1.2× 110 0.4× 250 1.7× 301 2.0× 66 1.7k
Steven R. Ennis 468 0.8× 290 0.7× 337 1.1× 196 1.3× 72 0.5× 30 1.5k
K. -L. Ho 298 0.5× 180 0.4× 183 0.6× 97 0.6× 119 0.8× 39 1.2k
Fabio Minicucci 438 0.7× 359 0.9× 133 0.4× 141 0.9× 88 0.6× 62 1.8k

Countries citing papers authored by Yasuaki Nishimura

Since Specialization
Citations

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

Fields of papers citing papers by Yasuaki Nishimura

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yasuaki Nishimura

This figure shows the co-authorship network connecting the top 25 collaborators of Yasuaki Nishimura. A scholar is included among the top collaborators of Yasuaki 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 Yasuaki Nishimura. Yasuaki 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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