K. Nishi

89 total papers · 958 total citations
54 papers, 721 citations indexed

About

K. Nishi is a scholar working on Molecular Biology, Electrical and Electronic Engineering and Atomic and Molecular Physics, and Optics. According to data from OpenAlex, K. Nishi has authored 54 papers receiving a total of 721 indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Molecular Biology, 9 papers in Electrical and Electronic Engineering and 8 papers in Atomic and Molecular Physics, and Optics. Recurrent topics in K. Nishi's work include Glycosylation and Glycoproteins Research (9 papers), Semiconductor Lasers and Optical Devices (8 papers) and Semiconductor Quantum Structures and Devices (6 papers). K. Nishi is often cited by papers focused on Glycosylation and Glycoproteins Research (9 papers), Semiconductor Lasers and Optical Devices (8 papers) and Semiconductor Quantum Structures and Devices (6 papers). K. Nishi collaborates with scholars based in Japan, Germany and United States. K. Nishi's co-authors include T. Anan, S. D. Brorson, Erich P. Ippen, H. Yokoyama, Hideaki Yamada, Ryoiti Kiyama, Mitsuru Nakajima, Yun Zhu, M. Suzuki and Hideyuki Matsumoto and has published in prestigious journals such as Applied Physics Letters, PLoS ONE and Sensors.

In The Last Decade

K. Nishi

51 papers receiving 697 citations

Author Peers

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

Author Last Decade Papers Cites
K. Nishi 254 245 206 121 78 54 721
K. Koyama 190 0.7× 108 0.4× 149 0.7× 110 0.9× 55 0.7× 82 813
Jonathan Higham 176 0.7× 90 0.4× 118 0.6× 32 0.3× 42 0.5× 43 788
Alexander Barbul 154 0.6× 219 0.9× 103 0.5× 308 2.5× 165 2.1× 25 864
M. Hirose 157 0.6× 44 0.2× 139 0.7× 75 0.6× 31 0.4× 62 688
Takako Miura 110 0.4× 102 0.4× 146 0.7× 73 0.6× 19 0.2× 83 673
Norikazu Hashimoto 257 1.0× 79 0.3× 278 1.3× 43 0.4× 175 2.2× 71 804
M. Shono 303 1.2× 197 0.8× 211 1.0× 21 0.2× 46 0.6× 61 881
Zhiping Jiang 330 1.3× 54 0.2× 118 0.6× 73 0.6× 184 2.4× 41 898
Miwa Sato 353 1.4× 112 0.5× 79 0.4× 94 0.8× 25 0.3× 24 700
Se‐Hui Jung 530 2.1× 40 0.2× 85 0.4× 223 1.8× 41 0.5× 54 893

Countries citing papers authored by K. Nishi

Since Specialization
Citations

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

Fields of papers citing papers by K. Nishi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of K. Nishi

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