M. Hayashi

34 total papers · 765 total citations
24 papers, 534 citations indexed

About

M. Hayashi is a scholar working on Epidemiology, Genetics and Neurology. According to data from OpenAlex, M. Hayashi has authored 24 papers receiving a total of 534 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Epidemiology, 9 papers in Genetics and 6 papers in Neurology. Recurrent topics in M. Hayashi's work include Meningioma and schwannoma management (10 papers), Glioma Diagnosis and Treatment (9 papers) and Brain Metastases and Treatment (4 papers). M. Hayashi is often cited by papers focused on Meningioma and schwannoma management (10 papers), Glioma Diagnosis and Treatment (9 papers) and Brain Metastases and Treatment (4 papers). M. Hayashi collaborates with scholars based in Japan, Czechia and France. M. Hayashi's co-authors include Jean Régis, Masahiro Izawa, Fabrice Bartoloméi, Patrick Chauvel, Kintomo Takakura, Tomokatsu Hori, Osami Kubo, Yoshihiro Muragaki, Taku Ochiai and Manabu Tamura and has published in prestigious journals such as Neurology, Neuro-Oncology and Stereotactic and Functional Neurosurgery.

In The Last Decade

M. Hayashi

23 papers receiving 508 citations

Author Peers

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

Author Last Decade Papers Cites
M. Hayashi 231 208 195 119 116 24 534
Jibril Osman Farah 219 0.9× 258 1.2× 134 0.7× 101 0.8× 122 1.1× 27 564
Thomas C. Witt 118 0.5× 148 0.7× 120 0.6× 137 1.2× 55 0.5× 27 584
Caroline Apra 223 1.0× 227 1.1× 94 0.5× 43 0.4× 106 0.9× 32 486
N Heldt 131 0.6× 126 0.6× 160 0.8× 56 0.5× 65 0.6× 27 488
Jeevak Almast 165 0.7× 198 1.0× 121 0.6× 55 0.5× 56 0.5× 20 524
So‐Hyang Im 136 0.6× 288 1.4× 133 0.7× 73 0.6× 112 1.0× 21 522
Shaheryar F. Ansari 291 1.3× 256 1.2× 79 0.4× 119 1.0× 197 1.7× 20 616
Antônio Nogueira de Almeida 234 1.0× 275 1.3× 87 0.4× 198 1.7× 171 1.5× 35 619
Aaron Plitt 97 0.4× 248 1.2× 96 0.5× 38 0.3× 55 0.5× 32 585
S. Lodrini 130 0.6× 91 0.4× 155 0.8× 71 0.6× 175 1.5× 27 514

Countries citing papers authored by M. Hayashi

Since Specialization
Citations

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

Fields of papers citing papers by M. Hayashi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of M. Hayashi

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