Natsuhiko Sugimura

74 total papers · 620 total citations
46 papers, 513 citations indexed

About

Natsuhiko Sugimura is a scholar working on Spectroscopy, Organic Chemistry and Materials Chemistry. According to data from OpenAlex, Natsuhiko Sugimura has authored 46 papers receiving a total of 513 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Spectroscopy, 11 papers in Organic Chemistry and 9 papers in Materials Chemistry. Recurrent topics in Natsuhiko Sugimura's work include Mass Spectrometry Techniques and Applications (8 papers), Analytical Chemistry and Chromatography (8 papers) and Spectroscopy and Quantum Chemical Studies (6 papers). Natsuhiko Sugimura is often cited by papers focused on Mass Spectrometry Techniques and Applications (8 papers), Analytical Chemistry and Chromatography (8 papers) and Spectroscopy and Quantum Chemical Studies (6 papers). Natsuhiko Sugimura collaborates with scholars based in Japan, United States and Chile. Natsuhiko Sugimura's co-authors include Toshimichi Shibue, Hiroyuki Nishide, Yasuhito Terui, Kiyohiko Hatake, Yuji Mishima, Kiyotsugu Kojima, Masahiro Yokoyama, Yuko Mishima, Takuma Sakurai and Ignacio Moreno‐Villoslada and has published in prestigious journals such as Journal of the American Chemical Society, Journal of Clinical Oncology and Blood.

In The Last Decade

Natsuhiko Sugimura

43 papers receiving 502 citations

Author Peers

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

Author						Papers	Cites
Natsuhiko Sugimura	118	96	88	85	68	46	513
Kexin Shen	68 0.6×	43 0.4×	211 2.4×	39 0.5×	18 0.3×	31	453
Zhiwei Sun	228 1.9×	93 1.0×	138 1.6×	100 1.2×	13 0.2×	25	483
D. De Vos	191 1.6×	63 0.7×	140 1.6×	77 0.9×	17 0.3×	55	609
Jiaxiang Liu	129 1.1×	39 0.4×	309 3.5×	33 0.4×	59 0.9×	40	584
Laurine G. Galya	114 1.0×	87 0.9×	99 1.1×	59 0.7×	7 0.1×	20	477
Yuhua Mei	111 0.9×	115 1.2×	108 1.2×	118 1.4×	49 0.7×	32	482
Shoji Maruyama	50 0.4×	110 1.1×	138 1.6×	41 0.5×	18 0.3×	49	528
Yongming Zeng	108 0.9×	82 0.9×	160 1.8×	14 0.2×	15 0.2×	50	511
Peng Shu	80 0.7×	43 0.4×	261 3.0×	49 0.6×	38 0.6×	39	541
Xuejuan Wang	47 0.4×	114 1.2×	136 1.5×	19 0.2×	80 1.2×	44	608

Countries citing papers authored by Natsuhiko Sugimura

Since Specialization

Citations

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

Fields of papers citing papers by Natsuhiko Sugimura

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Natsuhiko Sugimura

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