John M. Bertoni

98 total papers · 1.9k total citations
67 papers, 1.4k citations indexed

About

John M. Bertoni is a scholar working on Neurology, Molecular Biology and Cellular and Molecular Neuroscience. According to data from OpenAlex, John M. Bertoni has authored 67 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Neurology, 13 papers in Molecular Biology and 12 papers in Cellular and Molecular Neuroscience. Recurrent topics in John M. Bertoni's work include Neurological disorders and treatments (20 papers), Parkinson's Disease Mechanisms and Treatments (17 papers) and Glycogen Storage Diseases and Myoclonus (8 papers). John M. Bertoni is often cited by papers focused on Neurological disorders and treatments (20 papers), Parkinson's Disease Mechanisms and Treatments (17 papers) and Glycogen Storage Diseases and Myoclonus (8 papers). John M. Bertoni collaborates with scholars based in United States, India and China. John M. Bertoni's co-authors include Kapil D. Sethi, Robert A. Hauser, Daniel Strickland, George J. Siegel, Diego Torres‐Russotto, C. F. O'Brien, Thomas L. Davis, Charles H. Adler, R. L. Taylor and John P. Hammerstad and has published in prestigious journals such as JAMA, SHILAP Revista de lepidopterología and Neurology.

In The Last Decade

John M. Bertoni

67 papers receiving 1.4k citations

Author Peers

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

Author Last Decade Papers Cites
John M. Bertoni 773 332 286 269 131 67 1.4k
David I. Barry 457 0.6× 442 1.3× 199 0.7× 327 1.2× 209 1.6× 54 1.5k
Grzegorz Opala 930 1.2× 348 1.0× 253 0.9× 305 1.1× 252 1.9× 86 1.6k
Eng‐King Tan 788 1.0× 309 0.9× 247 0.9× 436 1.6× 227 1.7× 51 1.5k
Eduardo De Pablo‐Fernández 1.1k 1.4× 306 0.9× 176 0.6× 245 0.9× 221 1.7× 45 1.5k
Tae‐Beom Ahn 723 0.9× 308 0.9× 189 0.7× 219 0.8× 201 1.5× 73 1.2k
Morten Blaabjerg 592 0.8× 542 1.6× 265 0.9× 441 1.6× 166 1.3× 65 1.6k
Ban Mihara 811 1.0× 284 0.9× 254 0.9× 320 1.2× 348 2.7× 91 1.6k
Nicholas Fletcher 786 1.0× 525 1.6× 224 0.8× 249 0.9× 74 0.6× 49 1.3k
Nirit Lev 497 0.6× 361 1.1× 229 0.8× 475 1.8× 204 1.6× 44 1.4k
Witold Libionka 381 0.5× 589 1.8× 390 1.4× 257 1.0× 190 1.5× 34 1.5k

Countries citing papers authored by John M. Bertoni

Since Specialization
Citations

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

Fields of papers citing papers by John M. Bertoni

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of John M. Bertoni

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