Naoko Fujimura

49 total papers · 1.0k total citations
32 papers, 754 citations indexed

About

Naoko Fujimura is a scholar working on Neurology, Molecular Biology and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Naoko Fujimura has authored 32 papers receiving a total of 754 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Neurology, 10 papers in Molecular Biology and 7 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Naoko Fujimura's work include Intracranial Aneurysms: Treatment and Complications (12 papers), Vascular Malformations Diagnosis and Treatment (8 papers) and Traumatic Brain Injury and Neurovascular Disturbances (4 papers). Naoko Fujimura is often cited by papers focused on Intracranial Aneurysms: Treatment and Complications (12 papers), Vascular Malformations Diagnosis and Treatment (8 papers) and Traumatic Brain Injury and Neurovascular Disturbances (4 papers). Naoko Fujimura collaborates with scholars based in Japan, Czechia and United States. Naoko Fujimura's co-authors include Zbyněk Kozmík, Minoru Shigemori, S. Yamamoto, E. Tanaka, Hideho Higashi, Makoto M. Taketo, Vladimír Kořínek, Mikiro Mori, Ondřej Machoň and Tomáš Vacı́k and has published in prestigious journals such as Journal of Biological Chemistry, Journal of Neurophysiology and Developmental Biology.

In The Last Decade

Naoko Fujimura

30 papers receiving 739 citations

Author Peers

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

Author Last Decade Papers Cites
Naoko Fujimura 407 154 104 74 59 32 754
Robert C. Polomeno 352 0.9× 214 1.4× 68 0.7× 79 1.1× 96 1.6× 29 650
Michael Robbins 336 0.8× 149 1.0× 96 0.9× 47 0.6× 80 1.4× 20 786
Marie Bernadette Delisle 456 1.1× 125 0.8× 240 2.3× 39 0.5× 48 0.8× 30 896
Bingyin Su 269 0.7× 134 0.9× 204 2.0× 77 1.0× 73 1.2× 42 790
Alfia Khaibullina 387 1.0× 285 1.9× 73 0.7× 49 0.7× 33 0.6× 21 884
Bülent Ahıshalı 196 0.5× 126 0.8× 80 0.8× 32 0.4× 96 1.6× 45 839
I. Butler 390 1.0× 221 1.4× 208 2.0× 89 1.2× 45 0.8× 34 855
J. H. Kelsey 297 0.7× 143 0.9× 40 0.4× 40 0.5× 40 0.7× 25 866
Patricia L. Musolino 365 0.9× 97 0.6× 61 0.6× 46 0.6× 84 1.4× 38 674
Kathryn McFadden 400 1.0× 154 1.0× 70 0.7× 182 2.5× 38 0.6× 28 850

Countries citing papers authored by Naoko Fujimura

Since Specialization
Citations

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

Fields of papers citing papers by Naoko Fujimura

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Naoko Fujimura

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