Michael S. Taccone

44 total papers · 530 total citations
18 papers, 387 citations indexed

About

Michael S. Taccone is a scholar working on Genetics, Molecular Biology and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Michael S. Taccone has authored 18 papers receiving a total of 387 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Genetics, 4 papers in Molecular Biology and 4 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Michael S. Taccone's work include Glioma Diagnosis and Treatment (7 papers), Advanced MRI Techniques and Applications (3 papers) and Adolescent and Pediatric Healthcare (3 papers). Michael S. Taccone is often cited by papers focused on Glioma Diagnosis and Treatment (7 papers), Advanced MRI Techniques and Applications (3 papers) and Adolescent and Pediatric Healthcare (3 papers). Michael S. Taccone collaborates with scholars based in Canada, United Kingdom and United States. Michael S. Taccone's co-authors include James T. Rutka, Gelareh Zadeh, Johann Micallef, Brian Golbourn, Sameer Agnihotri, Sidney Croul, Michael F. Moran, Abhijit Guha, Joydeep Mukherjee and Jennifer Caldwell Busby and has published in prestigious journals such as Cancer Research, Oncotarget and Journal of Magnetic Resonance Imaging.

In The Last Decade

Michael S. Taccone

16 papers receiving 385 citations

Author Peers

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

Author Last Decade Papers Cites
Michael S. Taccone 202 116 100 65 49 18 387
Hongguang Huang 176 0.9× 108 0.9× 87 0.9× 127 2.0× 25 0.5× 16 414
R. Ballester 130 0.6× 148 1.3× 95 0.9× 49 0.8× 42 0.9× 19 390
Francesco Volpin 124 0.6× 139 1.2× 66 0.7× 76 1.2× 39 0.8× 21 420
Matheus P. Pereira 120 0.6× 98 0.8× 78 0.8× 72 1.1× 28 0.6× 24 411
Kellie J. Nazemi 134 0.7× 144 1.2× 35 0.3× 26 0.4× 37 0.8× 22 342
Andrew Brandmaier 142 0.7× 41 0.4× 62 0.6× 76 1.2× 31 0.6× 24 374
Delphine Berchery 150 0.7× 85 0.7× 61 0.6× 17 0.3× 81 1.7× 14 351
Junjeong Choi 121 0.6× 59 0.5× 34 0.3× 70 1.1× 75 1.5× 20 374
Xiaoyue Wei 164 0.8× 51 0.4× 53 0.5× 76 1.2× 16 0.3× 21 386
John M. Esposito 109 0.5× 177 1.5× 89 0.9× 29 0.4× 41 0.8× 17 382

Countries citing papers authored by Michael S. Taccone

Since Specialization
Citations

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

Fields of papers citing papers by Michael S. Taccone

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Michael S. Taccone. 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 Michael S. Taccone. The network helps show where Michael S. Taccone may publish in the future.

Co-authorship network of co-authors of Michael S. Taccone

This figure shows the co-authorship network connecting the top 25 collaborators of Michael S. Taccone. A scholar is included among the top collaborators of Michael S. Taccone 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 Michael S. Taccone. Michael S. Taccone 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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