Hidemasa Hikawa

358 total papers · 1.4k total citations
70 papers, 1.2k citations indexed

About

Hidemasa Hikawa is a scholar working on Organic Chemistry, Inorganic Chemistry and Molecular Biology. According to data from OpenAlex, Hidemasa Hikawa has authored 70 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 50 papers in Organic Chemistry, 25 papers in Inorganic Chemistry and 16 papers in Molecular Biology. Recurrent topics in Hidemasa Hikawa's work include Catalytic C–H Functionalization Methods (26 papers), Asymmetric Hydrogenation and Catalysis (23 papers) and Catalytic Cross-Coupling Reactions (11 papers). Hidemasa Hikawa is often cited by papers focused on Catalytic C–H Functionalization Methods (26 papers), Asymmetric Hydrogenation and Catalysis (23 papers) and Catalytic Cross-Coupling Reactions (11 papers). Hidemasa Hikawa collaborates with scholars based in Japan, Czechia and Russia. Hidemasa Hikawa's co-authors include Yuusaku Yokoyama, Isao Azumaya, Hideharu Suzuki, Shoko Kikkawa, Yasuoki Murakami, Minoru Tanaka, Satoru Kaneko, Hiroaki Okuno, M. Takahashi and Masahide Tominaga and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of Medicinal Chemistry and Green Chemistry.

In The Last Decade

Hidemasa Hikawa

68 papers receiving 1.2k citations

Author Peers

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

Author						Papers	Cites
Hidemasa Hikawa	1.0k	441	286	83	73	70	1.2k
Mariappan Periasamy	1.3k 1.3×	448 1.0×	232 0.8×	111 1.3×	63 0.9×	88	1.5k
Gian Pietro Miscione	823 0.8×	298 0.7×	272 1.0×	91 1.1×	90 1.2×	48	1.1k
Robert F. Cunico	1.1k 1.1×	249 0.6×	257 0.9×	87 1.0×	41 0.6×	74	1.2k
J. TSUJI	922 0.9×	296 0.7×	175 0.6×	77 0.9×	47 0.6×	42	1.1k
Mercedes Medio‐Simón	1.3k 1.2×	360 0.8×	175 0.6×	65 0.8×	40 0.5×	61	1.5k
Prasanta Ghorai	1.2k 1.1×	309 0.7×	399 1.4×	73 0.9×	39 0.5×	70	1.5k
Valerio Fasano	1.0k 1.0×	309 0.7×	164 0.6×	81 1.0×	40 0.5×	49	1.1k
Petrus H. Van Rooyen	859 0.8×	335 0.8×	160 0.6×	118 1.4×	59 0.8×	107	1.3k
Yasutaka Kataoka	1.3k 1.2×	555 1.3×	187 0.7×	77 0.9×	51 0.7×	65	1.4k
Jérôme Blanchet	1.2k 1.2×	349 0.8×	502 1.8×	40 0.5×	46 0.6×	45	1.3k

Countries citing papers authored by Hidemasa Hikawa

Since Specialization

Citations

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

Fields of papers citing papers by Hidemasa Hikawa

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hidemasa Hikawa

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