Naoyuki Fujimura

81 total papers · 996 total citations
42 papers, 383 citations indexed

About

Naoyuki Fujimura is a scholar working on Pulmonary and Respiratory Medicine, Surgery and Critical Care and Intensive Care Medicine. According to data from OpenAlex, Naoyuki Fujimura has authored 42 papers receiving a total of 383 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Pulmonary and Respiratory Medicine, 12 papers in Surgery and 9 papers in Critical Care and Intensive Care Medicine. Recurrent topics in Naoyuki Fujimura's work include Respiratory Support and Mechanisms (8 papers), Anesthesia and Pain Management (7 papers) and Airway Management and Intubation Techniques (4 papers). Naoyuki Fujimura is often cited by papers focused on Respiratory Support and Mechanisms (8 papers), Anesthesia and Pain Management (7 papers) and Airway Management and Intubation Techniques (4 papers). Naoyuki Fujimura collaborates with scholars based in Japan, United States and Canada. Naoyuki Fujimura's co-authors include Akiyoshi Namiki, Eichi Narimatsu, Yoshiki Masuda, Yasuo Shichinohe, Kenji Taki, Tomoyuki Kawamata, K. Oshima, Yasuyuki Nogami, Takashi Kambe and A Namiki and has published in prestigious journals such as SHILAP Revista de lepidopterología, American Journal of Respiratory and Critical Care Medicine and Brain Research.

In The Last Decade

Naoyuki Fujimura

40 papers receiving 371 citations

Author Peers

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

Author						Papers	Cites
Naoyuki Fujimura	101	75	73	56	49	42	383
Roberta Arena	112 1.1×	122 1.6×	88 1.2×	51 0.9×	19 0.4×	29	406
Yuxiang Song	42 0.4×	32 0.4×	37 0.5×	62 1.1×	28 0.6×	33	396
Yunfei Chai	80 0.8×	36 0.5×	131 1.8×	28 0.5×	36 0.7×	22	380
Takeru Shimizu	57 0.6×	29 0.4×	53 0.7×	29 0.5×	31 0.6×	26	358
Xiaoqin Hu	31 0.3×	31 0.4×	160 2.2×	26 0.5×	42 0.9×	61	422
Hiroyuki Hirate	64 0.6×	65 0.9×	111 1.5×	30 0.5×	55 1.1×	24	338
Yinghua Cui	41 0.4×	60 0.8×	98 1.3×	14 0.3×	71 1.4×	34	344
Cansheng Gong	73 0.7×	78 1.0×	88 1.2×	85 1.5×	63 1.3×	30	401
Tanja Restin	44 0.4×	71 0.9×	93 1.3×	85 1.5×	41 0.8×	28	446
Aikaterini Amaniti	135 1.3×	99 1.3×	46 0.6×	25 0.4×	72 1.5×	48	434

Countries citing papers authored by Naoyuki Fujimura

Since Specialization

Citations

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

Fields of papers citing papers by Naoyuki Fujimura

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Naoyuki Fujimura

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