Atsushi Nishimura

86 total papers · 981 total citations
39 papers, 593 citations indexed

About

Atsushi Nishimura is a scholar working on Surgery, Pulmonary and Respiratory Medicine and Oncology. According to data from OpenAlex, Atsushi Nishimura has authored 39 papers receiving a total of 593 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Surgery, 15 papers in Pulmonary and Respiratory Medicine and 14 papers in Oncology. Recurrent topics in Atsushi Nishimura's work include Gastric Cancer Management and Outcomes (8 papers), Colorectal Cancer Surgical Treatments (7 papers) and Gastrointestinal Tumor Research and Treatment (5 papers). Atsushi Nishimura is often cited by papers focused on Gastric Cancer Management and Outcomes (8 papers), Colorectal Cancer Surgical Treatments (7 papers) and Gastrointestinal Tumor Research and Treatment (5 papers). Atsushi Nishimura collaborates with scholars based in Japan, United States and Myanmar. Atsushi Nishimura's co-authors include Tetsuya Ohtaki, Yasuko Terao, Masahiko Hattori, Yoshihiro Takatsu, Satoshi Kumano, Yasushi Shintani, Yasuyuki Kawachi, Katsuyoshi Hatakeyama, Yoshio Shirai and Takashi Sohda and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of Medicinal Chemistry and Bioorganic & Medicinal Chemistry.

In The Last Decade

Atsushi Nishimura

32 papers receiving 561 citations

Author Peers

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

Author Last Decade Papers Cites
Atsushi Nishimura 211 183 153 141 124 39 593
H Yano 143 0.7× 216 1.2× 39 0.3× 69 0.5× 42 0.3× 36 517
Katarina Vilović 243 1.2× 204 1.1× 84 0.5× 68 0.5× 74 0.6× 47 673
Alessandra Di Paola 118 0.6× 208 1.1× 28 0.2× 69 0.5× 74 0.6× 34 633
Jia Guo 293 1.4× 135 0.7× 36 0.2× 155 1.1× 80 0.6× 48 597
Vincenzo Nardini 72 0.3× 173 0.9× 74 0.5× 73 0.5× 127 1.0× 30 517
Songcheng Yin 111 0.5× 211 1.2× 18 0.1× 242 1.7× 200 1.6× 32 619
Qi Wang 144 0.7× 253 1.4× 32 0.2× 137 1.0× 96 0.8× 35 606
G. Bonatz 76 0.4× 217 1.2× 104 0.7× 113 0.8× 49 0.4× 21 624
Eun Kyung Jang 188 0.9× 83 0.5× 25 0.2× 110 0.8× 52 0.4× 33 669
M. Schrader 150 0.7× 250 1.4× 148 1.0× 45 0.3× 146 1.2× 51 593

Countries citing papers authored by Atsushi Nishimura

Since Specialization
Citations

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

Fields of papers citing papers by Atsushi Nishimura

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Atsushi Nishimura

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