Shinya Kohra

130 total papers · 1.6k total citations
78 papers, 1.2k citations indexed

About

Shinya Kohra is a scholar working on Organic Chemistry, Health, Toxicology and Mutagenesis and Pharmaceutical Science. According to data from OpenAlex, Shinya Kohra has authored 78 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 53 papers in Organic Chemistry, 13 papers in Health, Toxicology and Mutagenesis and 9 papers in Pharmaceutical Science. Recurrent topics in Shinya Kohra's work include Synthesis of heterocyclic compounds (18 papers), Synthesis and Biological Evaluation (13 papers) and Synthesis and Characterization of Heterocyclic Compounds (11 papers). Shinya Kohra is often cited by papers focused on Synthesis of heterocyclic compounds (18 papers), Synthesis and Biological Evaluation (13 papers) and Synthesis and Characterization of Heterocyclic Compounds (11 papers). Shinya Kohra collaborates with scholars based in Japan, Russia and United States. Shinya Kohra's co-authors include Yoshinori Tominaga, Akíra Hosomi, Koji Arizono, Nobuaki Tominaga, Yuji Takao, Hiroshi Ishibashi, Akemi Yamaguchi, Ho Chul Lee, Yasuhiro Ishibashi and Yoshiro Matsuda and has published in prestigious journals such as SHILAP Revista de lepidopterología, The Journal of Organic Chemistry and Life Sciences.

In The Last Decade

Shinya Kohra

76 papers receiving 1.1k citations

Author Peers

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

Author Last Decade Papers Cites
Shinya Kohra 659 297 176 156 131 78 1.2k
Mitsuhiro Ueda 544 0.8× 124 0.4× 75 0.4× 360 2.3× 202 1.5× 50 1.2k
R. Kovačević 243 0.4× 425 1.4× 194 1.1× 283 1.8× 13 0.1× 58 1.5k
M. Moutschen-Dahmen 129 0.2× 119 0.4× 46 0.3× 556 3.6× 66 0.5× 74 1.3k
Rémy Le Guével 369 0.6× 160 0.5× 50 0.3× 474 3.0× 18 0.1× 56 1.5k
Bernardo Herradón 815 1.2× 157 0.5× 80 0.5× 541 3.5× 81 0.6× 85 1.5k
Hong Zhang 191 0.3× 241 0.8× 78 0.4× 291 1.9× 22 0.2× 62 1.0k
Carlos P. Sotomayor 157 0.2× 165 0.6× 70 0.4× 749 4.8× 21 0.2× 73 1.5k
Naoto Uramaru 209 0.3× 732 2.5× 170 1.0× 204 1.3× 15 0.1× 61 1.3k
Masatoshi Matsuo 126 0.2× 412 1.4× 228 1.3× 230 1.5× 86 0.7× 86 1.1k
R. Sangaiah 256 0.4× 343 1.2× 266 1.5× 528 3.4× 71 0.5× 74 1.3k

Countries citing papers authored by Shinya Kohra

Since Specialization
Citations

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

Fields of papers citing papers by Shinya Kohra

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shinya Kohra

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