Heather M. Burke

27 total papers · 2.8k total citations
18 papers, 2.2k citations indexed

About

Heather M. Burke is a scholar working on Behavioral Neuroscience, Biological Psychiatry and Clinical Psychology. According to data from OpenAlex, Heather M. Burke has authored 18 papers receiving a total of 2.2k indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Behavioral Neuroscience, 6 papers in Biological Psychiatry and 5 papers in Clinical Psychology. Recurrent topics in Heather M. Burke's work include Stress Responses and Cortisol (9 papers), Tryptophan and brain disorders (6 papers) and Migration, Health and Trauma (3 papers). Heather M. Burke is often cited by papers focused on Stress Responses and Cortisol (9 papers), Tryptophan and brain disorders (6 papers) and Migration, Health and Trauma (3 papers). Heather M. Burke collaborates with scholars based in United States, Kenya and Netherlands. Heather M. Burke's co-authors include Mary C. Davis, David C. Mohr, Christian Otte, Owen M. Wolkowitz, Synthia H. Mellon, Rebecca Rosser, Victor I. Reus, Elissa S. Epel, J. Craig Nelson and Firdaus S. Dhabhar and has published in prestigious journals such as PLoS ONE, PLoS Medicine and Psychosomatic Medicine.

In The Last Decade

Heather M. Burke

18 papers receiving 2.1k citations

Hit Papers

Depression and cortisol r... 2005 2026 2012 2019 2005 250 500 750

Author Peers

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

Author Last Decade Papers Cites
Heather M. Burke 1.0k 630 489 340 336 18 2.2k
Mai Thanh Tu 1.0k 1.0× 218 0.3× 448 0.9× 261 0.8× 556 1.7× 30 2.5k
Sophie A. Vreeburg 1.1k 1.0× 546 0.9× 403 0.8× 204 0.6× 285 0.8× 22 2.0k
Iouri Makotkine 969 0.9× 426 0.7× 871 1.8× 158 0.5× 273 0.8× 39 2.4k
Johannes van Pelt 1.2k 1.2× 507 0.8× 600 1.2× 349 1.0× 429 1.3× 60 3.0k
Cinnamon Stetler 1.1k 1.1× 751 1.2× 706 1.4× 201 0.6× 287 0.9× 17 2.7k
Francis E. Lotrich 651 0.6× 1.0k 1.7× 266 0.5× 249 0.7× 181 0.5× 63 2.7k
Donald M. Lamkin 1.3k 1.2× 1.6k 2.5× 211 0.4× 319 0.9× 160 0.5× 26 3.3k
Sriparna Ghosal 1.2k 1.2× 753 1.2× 248 0.5× 429 1.3× 563 1.7× 32 3.0k
Françoise S. Maheu 1.4k 1.4× 274 0.4× 747 1.5× 190 0.6× 659 2.0× 27 3.2k
Paul Summergrad 245 0.2× 621 1.0× 566 1.2× 290 0.9× 206 0.6× 78 2.1k

Countries citing papers authored by Heather M. Burke

Since Specialization
Citations

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

Fields of papers citing papers by Heather M. Burke

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Heather M. Burke

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