Masakichi NISHIMURA

49 total papers · 463 total citations
40 papers, 362 citations indexed

About

Masakichi NISHIMURA is a scholar working on Analytical Chemistry, Industrial and Manufacturing Engineering and Bioengineering. According to data from OpenAlex, Masakichi NISHIMURA has authored 40 papers receiving a total of 362 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Analytical Chemistry, 9 papers in Industrial and Manufacturing Engineering and 8 papers in Bioengineering. Recurrent topics in Masakichi NISHIMURA's work include Analytical chemistry methods development (13 papers), Analytical Chemistry and Sensors (8 papers) and Water Quality Monitoring and Analysis (6 papers). Masakichi NISHIMURA is often cited by papers focused on Analytical chemistry methods development (13 papers), Analytical Chemistry and Sensors (8 papers) and Water Quality Monitoring and Analysis (6 papers). Masakichi NISHIMURA collaborates with scholars based in Japan, United States and Germany. Masakichi NISHIMURA's co-authors include Katsuhiko Matsunaga, E. B. Sandell, Shigeki Konishi, Shizuo Tsunogai, Shinichiro Noriki, Kazuhiko Tanaka, Tetsuya Torii, Yoshiyuki Nozaki, Eiji Uchino and Makoto Saitô and has published in prestigious journals such as Nature, Journal of Geophysical Research Atmospheres and SHILAP Revista de lepidopterología.

In The Last Decade

Masakichi NISHIMURA

39 papers receiving 295 citations

Author Peers

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

Author Last Decade Papers Cites
Masakichi NISHIMURA 70 66 58 57 42 40 362
G. Queirazza 76 1.1× 26 0.4× 57 1.0× 30 0.5× 40 1.0× 21 374
Robert E. Pellenbarg 56 0.8× 29 0.4× 27 0.5× 30 0.5× 18 0.4× 26 314
David E. Bates 24 0.3× 169 2.6× 67 1.2× 87 1.5× 25 0.6× 15 387
Renaud Vuillemin 38 0.5× 165 2.5× 52 0.9× 100 1.8× 3 0.1× 14 369
J. Powell 36 0.5× 35 0.5× 50 0.9× 43 0.8× 2 0.0× 15 342
Johannes Böer 17 0.2× 27 0.4× 98 1.7× 9 0.2× 10 0.2× 35 382
Tong Chen 25 0.4× 32 0.5× 81 1.4× 53 0.9× 5 0.1× 15 395
P. S. Ridout 56 0.8× 143 2.2× 39 0.7× 58 1.0× 20 380
P. Jacob 51 0.7× 13 0.2× 31 0.5× 37 0.6× 5 0.1× 17 368
Vlado Cuculić 65 0.9× 52 0.8× 27 0.5× 37 0.6× 1 0.0× 38 392

Countries citing papers authored by Masakichi NISHIMURA

Since Specialization
Citations

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

Fields of papers citing papers by Masakichi NISHIMURA

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Masakichi NISHIMURA

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