Frank Petito

16 total papers · 1.4k total citations
12 papers, 977 citations indexed

About

Frank Petito is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Neurology. According to data from OpenAlex, Frank Petito has authored 12 papers receiving a total of 977 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Molecular Biology, 3 papers in Cellular and Molecular Neuroscience and 3 papers in Neurology. Recurrent topics in Frank Petito's work include Genetic Neurodegenerative Diseases (3 papers), Prion Diseases and Protein Misfolding (3 papers) and Cerebrovascular and Carotid Artery Diseases (2 papers). Frank Petito is often cited by papers focused on Genetic Neurodegenerative Diseases (3 papers), Prion Diseases and Protein Misfolding (3 papers) and Cerebrovascular and Carotid Artery Diseases (2 papers). Frank Petito collaborates with scholars based in United States, United Kingdom and Canada. Frank Petito's co-authors include Alan J. McComas, M. J. Campbell, Carol K. Petito, John H. Dougherty, Geoffrey J. Gottlieb, William T. Talman, Robert L. Ruff, Fred Plum, R. E. P. Sica and A.R.M. Upton and has published in prestigious journals such as New England Journal of Medicine, Brain and Neurology.

In The Last Decade

Frank Petito

12 papers receiving 893 citations

Hit Papers

Physiological changes in ... 1973 2026 1990 2008 1973 100 200 300 400 500

Author Peers

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

Author Last Decade Papers Cites
Frank Petito 281 267 239 168 128 12 977
G Hosking 407 1.4× 215 0.8× 67 0.3× 195 1.2× 139 1.1× 22 1.1k
Wim H.J.P. Linssen 216 0.8× 352 1.3× 238 1.0× 147 0.9× 202 1.6× 23 982
J P Hales 270 1.0× 88 0.3× 169 0.7× 89 0.5× 240 1.9× 11 939
Gunnar Wohlfart 269 1.0× 250 0.9× 317 1.3× 70 0.4× 286 2.2× 22 1.1k
Paul Nardelli 257 0.9× 210 0.8× 133 0.6× 114 0.7× 366 2.9× 36 916
Patricia Winchester 290 1.0× 214 0.8× 107 0.4× 107 0.6× 79 0.6× 23 1.1k
Tiemen W. van Weerden 289 1.0× 207 0.8× 196 0.8× 39 0.2× 320 2.5× 33 938
J C Tabary 333 1.2× 220 0.8× 217 0.9× 51 0.3× 61 0.5× 11 896
John Gillies 424 1.5× 62 0.2× 310 1.3× 208 1.2× 178 1.4× 29 1.2k
Othmar Schuhfried 161 0.6× 97 0.4× 198 0.8× 106 0.6× 81 0.6× 41 1.2k

Countries citing papers authored by Frank Petito

Since Specialization
Citations

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

Fields of papers citing papers by Frank Petito

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Frank Petito

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