Chantel D. Mayo

16 total papers · 706 total citations
13 papers, 472 citations indexed

About

Chantel D. Mayo is a scholar working on Pathology and Forensic Medicine, Radiology, Nuclear Medicine and Imaging and Epidemiology. According to data from OpenAlex, Chantel D. Mayo has authored 13 papers receiving a total of 472 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Pathology and Forensic Medicine, 6 papers in Radiology, Nuclear Medicine and Imaging and 4 papers in Epidemiology. Recurrent topics in Chantel D. Mayo's work include Multiple Sclerosis Research Studies (6 papers), Advanced Neuroimaging Techniques and Applications (5 papers) and Traumatic Brain Injury Research (3 papers). Chantel D. Mayo is often cited by papers focused on Multiple Sclerosis Research Studies (6 papers), Advanced Neuroimaging Techniques and Applications (5 papers) and Traumatic Brain Injury Research (3 papers). Chantel D. Mayo collaborates with scholars based in Canada and United States. Chantel D. Mayo's co-authors include Jodie R. Gawryluk, Vanessa Scarapicchia, Cassandra Brown, Erin L. Mazerolle, John D. Fisk, Lesley Ritchie, Mauricio A. García-Barrera, Setareh Ghahari, Rebecca Kenny and Nazanin Saadat and has published in prestigious journals such as SHILAP Revista de lepidopterología, Neuroreport and Journal of Magnetic Resonance Imaging.

In The Last Decade

Chantel D. Mayo

13 papers receiving 467 citations

Author Peers

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

Author						Papers	Cites
Chantel D. Mayo	253	178	86	70	56	13	472
Charlotte Ryberg	225 0.9×	137 0.8×	81 0.9×	49 0.7×	26 0.5×	14	463
Donatello Arienzo	111 0.4×	280 1.6×	135 1.6×	38 0.5×	30 0.5×	21	481
Hidemitsu Miyazawa	127 0.5×	98 0.6×	57 0.7×	40 0.6×	30 0.5×	12	499
Teresa D. Figley	285 1.1×	232 1.3×	40 0.5×	22 0.3×	28 0.5×	15	489
Knut K. Kolskår	144 0.6×	271 1.5×	109 1.3×	29 0.4×	13 0.2×	22	499
J Allison	114 0.5×	274 1.5×	42 0.5×	55 0.8×	40 0.7×	17	531
Pouria Mossahebi	422 1.7×	193 1.1×	65 0.8×	32 0.5×	11 0.2×	10	538
Patrizia Montella	65 0.3×	213 1.2×	102 1.2×	63 0.9×	26 0.5×	11	441
Jamila Ahdidan	121 0.5×	139 0.8×	133 1.5×	77 1.1×	8 0.1×	10	432
Yi-Ching Lynn Ho	107 0.4×	113 0.6×	52 0.6×	95 1.4×	19 0.3×	13	430

Countries citing papers authored by Chantel D. Mayo

Since Specialization

Citations

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

Fields of papers citing papers by Chantel D. Mayo

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Chantel D. Mayo. 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 Chantel D. Mayo. The network helps show where Chantel D. Mayo may publish in the future.

Co-authorship network of co-authors of Chantel D. Mayo

This figure shows the co-authorship network connecting the top 25 collaborators of Chantel D. Mayo. A scholar is included among the top collaborators of Chantel D. Mayo 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 Chantel D. Mayo. Chantel D. Mayo 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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