Masani Nonaka

47 total papers · 543 total citations
34 papers, 336 citations indexed

About

Masani Nonaka is a scholar working on Neurology, Cellular and Molecular Neuroscience and Epidemiology. According to data from OpenAlex, Masani Nonaka has authored 34 papers receiving a total of 336 indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Neurology, 7 papers in Cellular and Molecular Neuroscience and 7 papers in Epidemiology. Recurrent topics in Masani Nonaka's work include Intracerebral and Subarachnoid Hemorrhage Research (9 papers), Neurosurgical Procedures and Complications (9 papers) and Vascular Malformations Diagnosis and Treatment (9 papers). Masani Nonaka is often cited by papers focused on Intracerebral and Subarachnoid Hemorrhage Research (9 papers), Neurosurgical Procedures and Complications (9 papers) and Vascular Malformations Diagnosis and Treatment (9 papers). Masani Nonaka collaborates with scholars based in Japan, United States and United Kingdom. Masani Nonaka's co-authors include Hiroshi Abe, Tooru Inoue, Takeo Fukushima, Mitsutoshi Iwaasa, Takashi Morishita, S. Umemura, Kazunari Sasaki, Toshio Higashi, Masaaki Yamamoto and Hisatomi Arima and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of neurosurgery and International Journal of Gynecology & Obstetrics.

In The Last Decade

Masani Nonaka

34 papers receiving 329 citations

Author Peers

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

Author Last Decade Papers Cites
Masani Nonaka 172 87 64 54 43 34 336
Christopher Munoz‐Bendix 148 0.9× 64 0.7× 107 1.7× 128 2.4× 82 1.9× 23 339
Gorazd Bunc 145 0.8× 35 0.4× 57 0.9× 81 1.5× 38 0.9× 41 352
Tyler D. Alexander 105 0.6× 31 0.4× 68 1.1× 112 2.1× 23 0.5× 25 346
Damián Palafox 66 0.4× 94 1.1× 73 1.1× 89 1.6× 89 2.1× 45 400
Georges Abi Lahoud 71 0.4× 93 1.1× 45 0.7× 50 0.9× 67 1.6× 25 319
Krisztina Moldovan 81 0.5× 46 0.5× 63 1.0× 119 2.2× 63 1.5× 29 329
Bruno Law-Ye 99 0.6× 55 0.6× 50 0.8× 61 1.1× 42 1.0× 38 327
Kejia Teo 192 1.1× 18 0.2× 106 1.7× 107 2.0× 66 1.5× 42 344
­ Raynald 104 0.6× 23 0.3× 119 1.9× 168 3.1× 45 1.0× 52 346
Bio Joo 105 0.6× 46 0.5× 98 1.5× 38 0.7× 51 1.2× 31 337

Countries citing papers authored by Masani Nonaka

Since Specialization
Citations

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

Fields of papers citing papers by Masani Nonaka

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Masani Nonaka

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