Shoko Nakano

66 total papers · 417 total citations
29 papers, 303 citations indexed

About

Shoko Nakano is a scholar working on Pulmonary and Respiratory Medicine, Surgery and Anesthesiology and Pain Medicine. According to data from OpenAlex, Shoko Nakano has authored 29 papers receiving a total of 303 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Pulmonary and Respiratory Medicine, 8 papers in Surgery and 7 papers in Anesthesiology and Pain Medicine. Recurrent topics in Shoko Nakano's work include Airway Management and Intubation Techniques (7 papers), Respiratory Support and Mechanisms (6 papers) and Hemodynamic Monitoring and Therapy (3 papers). Shoko Nakano is often cited by papers focused on Airway Management and Intubation Techniques (7 papers), Respiratory Support and Mechanisms (6 papers) and Hemodynamic Monitoring and Therapy (3 papers). Shoko Nakano collaborates with scholars based in Japan. Shoko Nakano's co-authors include Takashi Asada, Masaya TAKASAKI, Masatake Uno, Hitoshi Matsuda, Takako Nakahara, Toshiaki Minami, Y. Abe, Takahiro Isono, Y Kawashima and Hirofumi Hirano and has published in prestigious journals such as Infection and Immunity, Pediatric Research and European Journal of Endocrinology.

In The Last Decade

Shoko Nakano

27 papers receiving 292 citations

Author Peers

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

Author						Papers	Cites
Shoko Nakano	64	61	59	50	47	29	303
Jayme Antunes Maciel	60 0.9×	70 1.1×	40 0.7×	69 1.4×	37 0.8×	20	329
Baoyan Liu	39 0.6×	25 0.4×	22 0.4×	76 1.5×	37 0.8×	35	339
Yoshihiro Matsukawa	89 1.4×	47 0.8×	27 0.5×	38 0.8×	32 0.7×	43	363
Mark A. Gales	59 0.9×	36 0.6×	12 0.2×	68 1.4×	34 0.7×	24	352
Chaithanya Avanthika	27 0.4×	48 0.8×	35 0.6×	42 0.8×	64 1.4×	33	344
Yu-Chiao Wang	75 1.2×	70 1.1×	20 0.3×	121 2.4×	74 1.6×	36	363
Stephen Marks	61 1.0×	88 1.4×	48 0.8×	76 1.5×	11 0.2×	19	315
Said İncir	49 0.8×	27 0.4×	32 0.5×	48 1.0×	52 1.1×	35	315
Jian Mao	48 0.8×	32 0.5×	25 0.4×	46 0.9×	42 0.9×	22	321
Abdülbaki Karaoğlu	65 1.0×	31 0.5×	35 0.6×	94 1.9×	29 0.6×	28	332

Countries citing papers authored by Shoko Nakano

Since Specialization

Citations

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

Fields of papers citing papers by Shoko Nakano

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shoko Nakano

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