Naoya Doi

52 total papers · 525 total citations
41 papers, 331 citations indexed

About

Naoya Doi is a scholar working on Virology, Infectious Diseases and Immunology. According to data from OpenAlex, Naoya Doi has authored 41 papers receiving a total of 331 indexed citations (citations by other indexed papers that have themselves been cited), including 36 papers in Virology, 29 papers in Infectious Diseases and 10 papers in Immunology. Recurrent topics in Naoya Doi's work include HIV Research and Treatment (36 papers), HIV/AIDS drug development and treatment (26 papers) and Immune Cell Function and Interaction (10 papers). Naoya Doi is often cited by papers focused on HIV Research and Treatment (36 papers), HIV/AIDS drug development and treatment (26 papers) and Immune Cell Function and Interaction (10 papers). Naoya Doi collaborates with scholars based in Japan, United States and United Kingdom. Naoya Doi's co-authors include Akio Adachi, Masako Nomaguchi, Hironori Sato, Masaru Yokoyama, Takaaki Koma, Yasuyuki Miyazaki, Yasumasa Iwatani, Tatsuo Shioda, Hirotaka Ode and Tadahito Kanda and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of Virology and Frontiers in Microbiology.

In The Last Decade

Naoya Doi

38 papers receiving 330 citations

Author Peers

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

Author						Papers	Cites
Naoya Doi	265	195	94	93	56	41	331
Supachai Sakkhachornphop	178 0.7×	153 0.8×	70 0.7×	89 1.0×	68 1.2×	22	326
Aniqa Shahid	185 0.7×	168 0.9×	85 0.9×	67 0.7×	50 0.9×	20	297
Diana Edo-Matas	189 0.7×	160 0.8×	74 0.8×	90 1.0×	56 1.0×	15	307
H. D. Brede	204 0.8×	166 0.9×	94 1.0×	31 0.3×	95 1.7×	33	354
Benjamas Aiamkitsumrit	220 0.8×	94 0.5×	99 1.1×	135 1.5×	67 1.2×	18	331
Bhavna Hora	149 0.6×	110 0.6×	61 0.6×	52 0.6×	82 1.5×	26	252
Rupert Capiña	161 0.6×	123 0.6×	55 0.6×	137 1.5×	32 0.6×	16	319
Andrea P. O. Jordan	276 1.0×	139 0.7×	151 1.6×	69 0.7×	65 1.2×	15	319
Adrian Jenkins	198 0.7×	156 0.8×	62 0.7×	38 0.4×	127 2.3×	26	325
Mariana M. Sauer	210 0.8×	157 0.8×	64 0.7×	60 0.6×	82 1.5×	14	324

Countries citing papers authored by Naoya Doi

Since Specialization

Citations

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

Fields of papers citing papers by Naoya Doi

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Naoya Doi

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