Jun Morita

60 total papers · 846 total citations
43 papers, 698 citations indexed

About

Jun Morita is a scholar working on Surgery, Molecular Biology and Electrical and Electronic Engineering. According to data from OpenAlex, Jun Morita has authored 43 papers receiving a total of 698 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Surgery, 6 papers in Molecular Biology and 6 papers in Electrical and Electronic Engineering. Recurrent topics in Jun Morita's work include Molecular Junctions and Nanostructures (3 papers), Aquaculture disease management and microbiota (3 papers) and Pharmacogenetics and Drug Metabolism (3 papers). Jun Morita is often cited by papers focused on Molecular Junctions and Nanostructures (3 papers), Aquaculture disease management and microbiota (3 papers) and Pharmacogenetics and Drug Metabolism (3 papers). Jun Morita collaborates with scholars based in Japan, United States and China. Jun Morita's co-authors include Takeshi Shimomura, Kiyoshi Minoura, Takuma Yasuda, Takashi Kato, Masahiro Funahashi, Kohei Uosaki, Toshihiro Kondo, Satoru Takakusagi, Kazuhisa Tamura and Masamitu Takahasi and has published in prestigious journals such as Angewandte Chemie International Edition, SHILAP Revista de lepidopterología and Journal of Applied Physics.

In The Last Decade

Jun Morita

41 papers receiving 687 citations

Author Peers

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

Author Last Decade Papers Cites
Jun Morita 194 165 153 119 77 43 698
Xiaoyi Fu 358 1.8× 277 1.7× 258 1.7× 101 0.8× 58 0.8× 28 784
Maria Morga 237 1.2× 105 0.6× 120 0.8× 72 0.6× 44 0.6× 44 768
Sonal Padalkar 334 1.7× 179 1.1× 212 1.4× 65 0.5× 57 0.7× 39 749
Yoshikazu Tanabe 139 0.7× 44 0.3× 261 1.7× 128 1.1× 56 0.7× 38 609
Xiaokai Zhang 353 1.8× 98 0.6× 124 0.8× 133 1.1× 44 0.6× 52 711
Christian Cavelius 338 1.7× 111 0.7× 119 0.8× 51 0.4× 49 0.6× 32 793
Hua Yu 265 1.4× 114 0.7× 172 1.1× 118 1.0× 62 0.8× 24 745
Leela Pradhan Joshi 209 1.1× 219 1.3× 325 2.1× 114 1.0× 26 0.3× 42 699
Shova Neupane 348 1.8× 101 0.6× 161 1.1× 46 0.4× 39 0.5× 42 601
Alexandra Fălămaș 164 0.8× 166 1.0× 77 0.5× 43 0.4× 49 0.6× 47 716

Countries citing papers authored by Jun Morita

Since Specialization
Citations

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

Fields of papers citing papers by Jun Morita

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jun Morita

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