T. HIGASHINO

255 total papers · 1.3k total citations
136 papers, 789 citations indexed

About

T. HIGASHINO is a scholar working on Organic Chemistry, Molecular Biology and Pharmaceutical Science. According to data from OpenAlex, T. HIGASHINO has authored 136 papers receiving a total of 789 indexed citations (citations by other indexed papers that have themselves been cited), including 134 papers in Organic Chemistry, 21 papers in Molecular Biology and 3 papers in Pharmaceutical Science. Recurrent topics in T. HIGASHINO's work include Synthesis and Characterization of Heterocyclic Compounds (85 papers), Quinazolinone synthesis and applications (55 papers) and Synthesis and Reactions of Organic Compounds (43 papers). T. HIGASHINO is often cited by papers focused on Synthesis and Characterization of Heterocyclic Compounds (85 papers), Quinazolinone synthesis and applications (55 papers) and Synthesis and Reactions of Organic Compounds (43 papers). T. HIGASHINO collaborates with scholars based in Japan and United Kingdom. T. HIGASHINO's co-authors include Akira Miyashita, Yumiko Suzuki, Ken‐ichi Iwamoto, EISAKU HAYASHI, Ken‐ichi Tanji, Hideaki Matsuda, Izuru Nagasaki, Susumu Satô, Ayako Goto and Atsushi Numata and has published in prestigious journals such as Bulletin of the Chemical Society of Japan, Chemistry Letters and Chemical and Pharmaceutical Bulletin.

In The Last Decade

T. HIGASHINO

111 papers receiving 739 citations

Author Peers

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

Author Last Decade Papers Cites
T. HIGASHINO 740 150 53 21 18 136 789
Kentaro Hirai 494 0.7× 136 0.9× 32 0.6× 45 2.1× 22 1.2× 85 712
Masanao Terashima 701 0.9× 156 1.0× 68 1.3× 28 1.3× 6 0.3× 68 801
Isabel A. Perillo 770 1.0× 225 1.5× 42 0.8× 19 0.9× 16 0.9× 94 871
Tomáš Tobrman 666 0.9× 104 0.7× 80 1.5× 11 0.5× 8 0.4× 67 729
Géza Tímári 615 0.8× 236 1.6× 37 0.7× 35 1.7× 5 0.3× 48 725
Hideharu Suzuki 504 0.7× 195 1.3× 112 2.1× 23 1.1× 10 0.6× 41 651
Antonio Guirado 547 0.7× 127 0.8× 44 0.8× 21 1.0× 7 0.4× 70 673
Kyung Il Choi 473 0.6× 242 1.6× 77 1.5× 53 2.5× 17 0.9× 56 645
T. ITAYA 424 0.6× 430 2.9× 38 0.7× 28 1.3× 24 1.3× 125 739
Y. TAMURA 634 0.9× 117 0.8× 39 0.7× 37 1.8× 9 0.5× 41 696

Countries citing papers authored by T. HIGASHINO

Since Specialization
Citations

This map shows the geographic impact of T. HIGASHINO'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 T. HIGASHINO with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites T. HIGASHINO more than expected).

Fields of papers citing papers by T. HIGASHINO

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of T. HIGASHINO

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