Masaki Naito

15 total papers · 481 total citations
12 papers, 382 citations indexed

About

Masaki Naito is a scholar working on Organic Chemistry, Molecular Biology and Epidemiology. According to data from OpenAlex, Masaki Naito has authored 12 papers receiving a total of 382 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Organic Chemistry, 6 papers in Molecular Biology and 5 papers in Epidemiology. Recurrent topics in Masaki Naito's work include Biochemical and Molecular Research (5 papers), Cytomegalovirus and herpesvirus research (4 papers) and HIV/AIDS drug development and treatment (3 papers). Masaki Naito is often cited by papers focused on Biochemical and Molecular Research (5 papers), Cytomegalovirus and herpesvirus research (4 papers) and HIV/AIDS drug development and treatment (3 papers). Masaki Naito collaborates with scholars based in Japan. Masaki Naito's co-authors include Tamio Hayashi, Yonetatsu Matsumoto, Yasuhiro Uozumi, Hiroshi Iwamura, Misao Miki, Kazunori Yanagi, Kunisuke Izawa, Satoshi Takamatsu, Satoshi Katayama and Tokumi Maruyama and has published in prestigious journals such as Journal of the American Chemical Society, The Journal of Organic Chemistry and Tetrahedron Letters.

In The Last Decade

Masaki Naito

12 papers receiving 367 citations

Author Peers

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

Author						Papers	Cites
Masaki Naito	347	148	78	33	20	12	382
A. S. B. PRASAD	340 1.0×	95 0.6×	120 1.5×	17 0.5×	38 1.9×	16	390
Srinivasan Babu	273 0.8×	81 0.5×	108 1.4×	27 0.8×	7 0.3×	14	339
Santiago Barroso	324 0.9×	64 0.4×	59 0.8×	21 0.6×	13 0.7×	19	364
Lilia J. Kurz	329 0.9×	58 0.4×	124 1.6×	14 0.4×	26 1.3×	11	431
V. Jagadeshwar	407 1.2×	53 0.4×	52 0.7×	17 0.5×	14 0.7×	12	428
Hajime Saburi	322 0.9×	187 1.3×	143 1.8×	17 0.5×	6 0.3×	10	381
Roger N. Farr	317 0.9×	48 0.3×	156 2.0×	23 0.7×	11 0.6×	14	392
Karen Mollet	327 0.9×	43 0.3×	77 1.0×	32 1.0×	12 0.6×	20	374
Tatsuro Yasukata	266 0.8×	63 0.4×	113 1.4×	14 0.4×	24 1.2×	20	339
Benjamin C. Whitehurst	291 0.8×	49 0.3×	104 1.3×	55 1.7×	6 0.3×	7	377

Countries citing papers authored by Masaki Naito

Since Specialization

Citations

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

Fields of papers citing papers by Masaki Naito

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Masaki Naito

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