Shunichi Aikawa

44 total papers · 444 total citations
38 papers, 380 citations indexed

About

Shunichi Aikawa is a scholar working on Spectroscopy, Molecular Biology and Materials Chemistry. According to data from OpenAlex, Shunichi Aikawa has authored 38 papers receiving a total of 380 indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Spectroscopy, 15 papers in Molecular Biology and 11 papers in Materials Chemistry. Recurrent topics in Shunichi Aikawa's work include Molecular Sensors and Ion Detection (23 papers), Electrochemical Analysis and Applications (8 papers) and Advanced biosensing and bioanalysis techniques (8 papers). Shunichi Aikawa is often cited by papers focused on Molecular Sensors and Ion Detection (23 papers), Electrochemical Analysis and Applications (8 papers) and Advanced biosensing and bioanalysis techniques (8 papers). Shunichi Aikawa collaborates with scholars based in Japan. Shunichi Aikawa's co-authors include Yasumasa Fukushima, Yasuhiko Yoshida, Hiromu Saito, Yoshio Sasada, Yooichiroh Maruyama, Kenji Yamashita, Katsuya Maeyama, Yoko Ohashi, Makoto Kimura and Naoko Takahashi and has published in prestigious journals such as Analytical Biochemistry, International Journal of Molecular Sciences and Tetrahedron Letters.

In The Last Decade

Shunichi Aikawa

38 papers receiving 377 citations

Author Peers

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

Author						Papers	Cites
Shunichi Aikawa	181	133	124	89	71	38	380
Awаd I. Said	274 1.5×	222 1.7×	103 0.8×	90 1.0×	30 0.4×	30	411
Xiaodan Zeng	191 1.1×	154 1.2×	165 1.3×	44 0.5×	79 1.1×	43	434
Gaganpreet Kaur	186 1.0×	177 1.3×	103 0.8×	97 1.1×	52 0.7×	23	387
G. Dyson	115 0.6×	117 0.9×	106 0.9×	137 1.5×	42 0.6×	17	360
Patitapaban Mohanty	241 1.3×	131 1.0×	157 1.3×	100 1.1×	33 0.5×	35	435
Tarek Aysha	136 0.8×	175 1.3×	83 0.7×	137 1.5×	30 0.4×	28	387
Neetu Sharma	184 1.0×	189 1.4×	124 1.0×	70 0.8×	45 0.6×	19	432
Rubi Behura	220 1.2×	120 0.9×	139 1.1×	97 1.1×	28 0.4×	20	385
Maksim N. Zavalishin	171 0.9×	96 0.7×	95 0.8×	119 1.3×	26 0.4×	55	392
Saravanakumar Manickam	284 1.6×	216 1.6×	101 0.8×	86 1.0×	38 0.5×	29	436

Countries citing papers authored by Shunichi Aikawa

Since Specialization

Citations

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

Fields of papers citing papers by Shunichi Aikawa

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shunichi Aikawa

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