Kelly Doolin

1.0k total citations
18 papers, 716 citations indexed

About

Kelly Doolin is a scholar working on Behavioral Neuroscience, Cognitive Neuroscience and Biological Psychiatry. According to data from OpenAlex, Kelly Doolin has authored 18 papers receiving a total of 716 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Behavioral Neuroscience, 7 papers in Cognitive Neuroscience and 6 papers in Biological Psychiatry. Recurrent topics in Kelly Doolin's work include Stress Responses and Cortisol (7 papers), Functional Brain Connectivity Studies (7 papers) and Tryptophan and brain disorders (6 papers). Kelly Doolin is often cited by papers focused on Stress Responses and Cortisol (7 papers), Functional Brain Connectivity Studies (7 papers) and Tryptophan and brain disorders (6 papers). Kelly Doolin collaborates with scholars based in Ireland, Germany and United States. Kelly Doolin's co-authors include Veronica O’Keane, Thomas Frodl, Chloë Farrell, Leonardo Tozzi, Darren Roddy, Erik O’Hanlon, Elena Román, Andrew Harkin, Linda Booij and Zsófia Nemoda and has published in prestigious journals such as Biological Psychiatry, International Journal of Molecular Sciences and Neuropsychopharmacology.

In The Last Decade

Kelly Doolin

18 papers receiving 708 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Kelly Doolin Ireland 13 234 227 170 139 95 18 716
Chloë Farrell Ireland 13 261 1.1× 263 1.2× 135 0.8× 145 1.0× 107 1.1× 19 840
Akiko Kurata Japan 11 203 0.9× 137 0.6× 247 1.5× 68 0.5× 48 0.5× 18 688
Pamela B. Mahon United States 13 229 1.0× 99 0.4× 156 0.9× 154 1.1× 105 1.1× 25 902
Francesco Amico Ireland 13 192 0.8× 198 0.9× 398 2.3× 173 1.2× 56 0.6× 24 904
Emily L. Belleau United States 15 196 0.8× 204 0.9× 367 2.2× 294 2.1× 39 0.4× 37 956
Verica Milivojevic United States 16 255 1.1× 96 0.4× 277 1.6× 116 0.8× 39 0.4× 31 870
Olrik von Widdern Germany 8 194 0.8× 129 0.6× 128 0.8× 101 0.7× 28 0.3× 11 568
Bum‐Hee Yu South Korea 18 129 0.6× 126 0.6× 163 1.0× 274 2.0× 49 0.5× 43 978
Martin Metten Germany 7 225 1.0× 140 0.6× 137 0.8× 101 0.7× 25 0.3× 7 571
Ertuğrul Eşel Türkiye 17 129 0.6× 99 0.4× 131 0.8× 112 0.8× 73 0.8× 62 951

Countries citing papers authored by Kelly Doolin

Since Specialization
Citations

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

Fields of papers citing papers by Kelly Doolin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kelly Doolin

This figure shows the co-authorship network connecting the top 25 collaborators of Kelly Doolin. A scholar is included among the top collaborators of Kelly Doolin 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 Kelly Doolin. Kelly Doolin is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

18 of 18 papers shown
1.
Förster, Katharina, Dominik Grotegerd, Katharina Dohm, et al.. (2023). Association of hospitalization with structural brain alterations in patients with affective disorders over nine years. Translational Psychiatry. 13(1). 170–170. 1 indexed citations
2.
Roddy, Darren, John R. Kelly, Chloë Farrell, et al.. (2021). Amygdala substructure volumes in Major Depressive Disorder. NeuroImage Clinical. 31. 102781–102781. 40 indexed citations
3.
Doolin, Kelly, Chloë Farrell, Anthony McCarthy, et al.. (2020). The hypothalamic-pituitary-adrenal axis in the perinatal period: Its relationship with major depressive disorder and early life adversity. The World Journal of Biological Psychiatry. 21(7). 552–563. 12 indexed citations
4.
Mikoláš, Pavol, Leonardo Tozzi, Kelly Doolin, et al.. (2019). Effects of early life adversity and FKBP5 genotype on hippocampal subfields volume in major depression. Journal of Affective Disorders. 252. 152–159. 36 indexed citations
5.
Doolin, Kelly, Angela Carballedo, Hazel McCarthy, et al.. (2019). Longitudinal diffusion weighted imaging of limbic regions in patients with major depressive disorder after 6 years and partial to full remission. Psychiatry Research Neuroimaging. 287. 75–86. 4 indexed citations
6.
Roddy, Darren, Chloë Farrell, Kelly Doolin, et al.. (2018). The Hippocampus in Depression: More Than the Sum of Its Parts? Advanced Hippocampal Substructure Segmentation in Depression. Biological Psychiatry. 85(6). 487–497. 197 indexed citations
7.
McAuliffe, Fionnuala M., Anthony McCarthy, Eugene Cassidy, et al.. (2018). A population survey of prevalence rates of antenatal depression in the Irish obstetric services using the Edinburgh Postnatal Depression Scale (EPDS). Archives of Women s Mental Health. 22(3). 349–355. 40 indexed citations
8.
Roddy, Darren, Elena Román, Chloë Farrell, et al.. (2018). Awakening Neuropsychiatric Research Into the Stria Medullaris: Development of a Diffusion-Weighted Imaging Tractography Protocol of This Key Limbic Structure. Frontiers in Neuroanatomy. 12. 39–39. 14 indexed citations
9.
Doolin, Kelly, Kelly A. Allers, André Liesener, et al.. (2018). Altered tryptophan catabolite concentrations in major depressive disorder and associated changes in hippocampal subfield volumes. Psychoneuroendocrinology. 95. 8–17. 70 indexed citations
11.
Mikoláš, Pavol, Leonardo Tozzi, Kelly Doolin, et al.. (2018). Hippocampal subfields volumes, endocrine stress axis and early life stress in major depressive disorder. European Neuropsychopharmacology. 28. S69–S70. 2 indexed citations
12.
Tozzi, Leonardo, Chloë Farrell, Linda Booij, et al.. (2017). Epigenetic Changes of FKBP5 as a Link Connecting Genetic and Environmental Risk Factors with Structural and Functional Brain Changes in Major Depression. Neuropsychopharmacology. 43(5). 1138–1145. 90 indexed citations
13.
Doolin, Kelly, Chloë Farrell, Leonardo Tozzi, et al.. (2017). Diurnal Hypothalamic-Pituitary-Adrenal Axis Measures and Inflammatory Marker Correlates in Major Depressive Disorder. International Journal of Molecular Sciences. 18(10). 2226–2226. 48 indexed citations
14.
O’Keane, Veronica, et al.. (2017). Stress Hormone System and Epigenetics in Depression. European Psychiatry. 41(S1). S19–S19. 1 indexed citations
15.
Frodl, Thomas, Leonardo Tozzi, Chloë Farrell, et al.. (2017). Association of Stress Hormone System, Epigenetics and Imaging. European Psychiatry. 41(S1). S19–S20. 1 indexed citations
17.
Tozzi, Leonardo, Angela Carballedo, Grace Lavelle, et al.. (2016). Longitudinal functional connectivity changes correlate with mood improvement after regular exercise in a dose-dependent fashion. European Journal of Neuroscience. 43(8). 1089–1096. 39 indexed citations
18.
Tie, Yanmei, Laura Rigolo, Ayşegül Özdemir, et al.. (2015). A New Paradigm for Individual Subject Language Mapping: Movie‐Watching fMRI. Journal of Neuroimaging. 25(5). 710–720. 16 indexed citations

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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