Margaret T. Davis

6.8k total citations · 2 hit papers
49 papers, 4.7k citations indexed

About

Margaret T. Davis is a scholar working on Clinical Psychology, Pharmacology and Psychiatry and Mental health. According to data from OpenAlex, Margaret T. Davis has authored 49 papers receiving a total of 4.7k indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Clinical Psychology, 12 papers in Pharmacology and 11 papers in Psychiatry and Mental health. Recurrent topics in Margaret T. Davis's work include Posttraumatic Stress Disorder Research (12 papers), Treatment of Major Depression (10 papers) and Suicide and Self-Harm Studies (9 papers). Margaret T. Davis is often cited by papers focused on Posttraumatic Stress Disorder Research (12 papers), Treatment of Major Depression (10 papers) and Suicide and Self-Harm Studies (9 papers). Margaret T. Davis collaborates with scholars based in United States and Canada. Margaret T. Davis's co-authors include Tracy K. Witte, Frank W. Weathers, Jessica L. Domino, Christy A. Blevins, Irina Esterlis, Robert H. Pietrzak, Sophie Holmes, David Matuskey, John H. Krystal and Nicole DellaGioia and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Communications and SHILAP Revista de lepidopterología.

In The Last Decade

Margaret T. Davis

46 papers receiving 4.6k citations

Hit Papers

The Posttraumatic Stress Disorder Checklist for DSM‐5 (PC... 2015 2026 2018 2022 2015 2019 1000 2.0k 3.0k

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Margaret T. Davis United States 19 3.1k 538 515 508 458 49 4.7k
Nathan A. Kimbrel United States 35 3.0k 0.9× 409 0.8× 538 1.0× 498 1.0× 494 1.1× 200 4.2k
Lissa Dutra United States 12 2.6k 0.8× 380 0.7× 781 1.5× 447 0.9× 528 1.2× 13 3.7k
Sheila A. M. Rauch United States 37 4.1k 1.3× 547 1.0× 1.1k 2.2× 641 1.3× 298 0.7× 158 5.1k
Neil P. Roberts United Kingdom 42 5.3k 1.7× 668 1.2× 998 1.9× 758 1.5× 548 1.2× 98 6.6k
Ilan Harpaz‐Rotem United States 32 2.5k 0.8× 650 1.2× 424 0.8× 553 1.1× 286 0.6× 175 3.7k
Stacey Young‐McCaughan United States 29 2.6k 0.8× 406 0.8× 780 1.5× 488 1.0× 294 0.6× 151 4.1k
Grant J. Devilly Australia 29 2.7k 0.8× 397 0.7× 363 0.7× 604 1.2× 451 1.0× 87 4.4k
Steven R. Thorp United States 34 2.2k 0.7× 450 0.8× 376 0.7× 642 1.3× 413 0.9× 57 3.5k
Ivan Figueira Brazil 36 2.9k 0.9× 574 1.1× 415 0.8× 511 1.0× 891 1.9× 139 4.7k
Antony Ambler United Kingdom 31 1.8k 0.6× 832 1.5× 411 0.8× 594 1.2× 640 1.4× 52 4.8k

Countries citing papers authored by Margaret T. Davis

Since Specialization
Citations

This map shows the geographic impact of Margaret T. Davis'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 Margaret T. Davis with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Margaret T. Davis more than expected).

Fields of papers citing papers by Margaret T. Davis

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Margaret T. Davis. 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 Margaret T. Davis. The network helps show where Margaret T. Davis may publish in the future.

Co-authorship network of co-authors of Margaret T. Davis

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

All Works

20 of 20 papers shown
2.
Oh, Wonjung, et al.. (2024). Post-traumatic change and resilience after childhood maltreatment: Impacts on maternal mental health over the postpartum period. Journal of Affective Disorders. 361. 1–9. 1 indexed citations
3.
Bonomi, Robin, Ansel T. Hillmer, Eric A. Woodcock, et al.. (2024). Microglia-mediated neuroimmune suppression in PTSD is associated with anhedonia. Proceedings of the National Academy of Sciences. 121(35). e2406005121–e2406005121. 5 indexed citations
4.
Fan, Siyan, et al.. (2024). Preliminary Study of White Matter Abnormalities and Associations With the Metabotropic Glutamate Receptor 5 to Distinguish Bipolar and Major Depressive Disorders. SHILAP Revista de lepidopterología. 8. 2300847080–2300847080. 2 indexed citations
6.
Baldassarri, Stephen R., Ansel T. Hillmer, Robert H. Pietrzak, et al.. (2023). Nicotine Use and Metabotropic Glutamate Receptor 5 in Individuals With Major Depressive and Posttraumatic Stress Disorders. SHILAP Revista de lepidopterología. 7. 2300776602–2300776602. 3 indexed citations
7.
Holmes, Sophie, Sjoerd J. Finnema, Mika Naganawa, et al.. (2022). Imaging the effect of ketamine on synaptic density (SV2A) in the living brain. Molecular Psychiatry. 27(4). 2273–2281. 50 indexed citations
8.
Esterlis, Irina, et al.. (2022). Differential Role of mGluR5 in Cognitive Processes in Posttraumatic Stress Disorder and Major Depression. SHILAP Revista de lepidopterología. 6. 2290727564–2290727564. 8 indexed citations
9.
Holmes, Sophie, Margaret T. Davis, Nicole DellaGioia, et al.. (2022). Differences in Quantification of the Metabotropic Glutamate Receptor 5 Across Bipolar Disorder and Major Depressive Disorder. Biological Psychiatry. 93(12). 1099–1107. 14 indexed citations
10.
Davis, Margaret T., et al.. (2021). Acute cognitive effects of single-dose intravenous ketamine in major depressive and posttraumatic stress disorder. Translational Psychiatry. 11(1). 205–205. 27 indexed citations
11.
Bhatt, Shivani, Ansel T. Hillmer, Matthew J. Girgenti, et al.. (2020). PTSD is associated with neuroimmune suppression: evidence from PET imaging and postmortem transcriptomic studies. Nature Communications. 11(1). 2360–2360. 67 indexed citations
12.
Jones, Russell T., et al.. (2020). Exploring the impact of trauma type and extent of exposure on posttraumatic alterations in 5-HT1A expression. Translational Psychiatry. 10(1). 237–237. 10 indexed citations
14.
Holmes, Sophie, Dustin Scheinost, Sjoerd J. Finnema, et al.. (2019). Lower synaptic density is associated with depression severity and network alterations. Nature Communications. 10(1). 1529–1529. 323 indexed citations breakdown →
15.
Holmes, Sophie, Dustin Scheinost, Sjoerd J. Finnema, et al.. (2019). 142. Synaptic Density Alterations are Associated With Depression Severity and Network Alterations. Biological Psychiatry. 85(10). S59–S59. 4 indexed citations
16.
Gauthier, Jami M., et al.. (2016). College Students' Responses to Suicidal Content on Social Networking Sites: An Examination Using a Simulated Facebook Newsfeed. Suicide and Life-Threatening Behavior. 46(5). 609–624. 21 indexed citations
17.
Davis, Margaret T.. (2016). DSM-5 PTSD and Passive Suicidal Ideation: An Application of the Interpersonal-Psychological Theory of Suicide. 1 indexed citations
18.
19.
Mikami, Amori Yee, et al.. (2009). Sex Differences in Effectiveness of Extended-Release Stimulant Medication among Adolescents with Attention-Deficit/Hyperactivity Disorder. Journal of Clinical Psychology in Medical Settings. 16(3). 233–242. 24 indexed citations
20.
Bowden, Stephen C., et al.. (2008). Latent means and covariance differences with measurement equivalence in college students with developmental difficulties versus the WAIS-III/WMS-III normative sample. Educational and Psychological Measurement. 68(4).

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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