Mark D. Kvarta

62 total papers · 2.0k total citations
39 papers, 1.3k citations indexed

About

Mark D. Kvarta is a scholar working on Cognitive Neuroscience, Radiology, Nuclear Medicine and Imaging and Biological Psychiatry. According to data from OpenAlex, Mark D. Kvarta has authored 39 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Cognitive Neuroscience, 10 papers in Radiology, Nuclear Medicine and Imaging and 9 papers in Biological Psychiatry. Recurrent topics in Mark D. Kvarta's work include Functional Brain Connectivity Studies (18 papers), Advanced Neuroimaging Techniques and Applications (10 papers) and Tryptophan and brain disorders (9 papers). Mark D. Kvarta is often cited by papers focused on Functional Brain Connectivity Studies (18 papers), Advanced Neuroimaging Techniques and Applications (10 papers) and Tryptophan and brain disorders (9 papers). Mark D. Kvarta collaborates with scholars based in United States, United Kingdom and China. Mark D. Kvarta's co-authors include Scott M. Thompson, Tara A. LeGates, Xiang Cai, Angy J. Kallarackal, Aileen M. Bailey, Jessica R. Tooley, T. Chase Francis, Meaghan C. Creed, Mary Kay Lobo and Jonathan Fischell and has published in prestigious journals such as Nature, Proceedings of the National Academy of Sciences and Journal of Neuroscience.

In The Last Decade

Mark D. Kvarta

38 papers receiving 1.3k citations

Author Peers

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

Author						Papers	Cites
Mark D. Kvarta	569	395	326	261	254	39	1.3k
Sophie Holmes	405 0.7×	482 1.2×	306 0.9×	345 1.3×	158 0.6×	44	1.4k
Matthew J. Girgenti	544 1.0×	532 1.3×	349 1.1×	267 1.0×	372 1.5×	46	1.6k
Ettore Tiraboschi	999 1.8×	319 0.8×	317 1.0×	337 1.3×	448 1.8×	26	1.7k
Takashi Futamura	517 0.9×	565 1.4×	303 0.9×	132 0.5×	406 1.6×	29	1.6k
Tai‐Jui Chen	649 1.1×	322 0.8×	238 0.7×	436 1.7×	321 1.3×	39	1.6k
Douglas Marsteller	888 1.6×	293 0.7×	421 1.3×	308 1.2×	348 1.4×	22	1.8k
Kaori Koike	872 1.5×	307 0.8×	257 0.8×	443 1.7×	364 1.4×	22	1.7k
Carrol D’Sa	771 1.4×	371 0.9×	339 1.0×	197 0.8×	430 1.7×	15	1.6k
Caroline A. Browne	583 1.0×	380 1.0×	287 0.9×	122 0.5×	357 1.4×	36	1.4k
Barbara E. Suranyi-Cadotte	815 1.4×	251 0.6×	357 1.1×	196 0.8×	361 1.4×	30	1.6k

Countries citing papers authored by Mark D. Kvarta

Since Specialization

Citations

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

Fields of papers citing papers by Mark D. Kvarta

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mark D. Kvarta

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