Laura M. Hack

2.9k total citations · 1 hit paper
31 papers, 436 citations indexed

About

Laura M. Hack is a scholar working on Pharmacology, Cognitive Neuroscience and Experimental and Cognitive Psychology. According to data from OpenAlex, Laura M. Hack has authored 31 papers receiving a total of 436 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Pharmacology, 13 papers in Cognitive Neuroscience and 8 papers in Experimental and Cognitive Psychology. Recurrent topics in Laura M. Hack's work include Treatment of Major Depression (13 papers), Tryptophan and brain disorders (7 papers) and Functional Brain Connectivity Studies (7 papers). Laura M. Hack is often cited by papers focused on Treatment of Major Depression (13 papers), Tryptophan and brain disorders (7 papers) and Functional Brain Connectivity Studies (7 papers). Laura M. Hack collaborates with scholars based in United States, Australia and United Kingdom. Laura M. Hack's co-authors include Leanne M. Williams, Alan F. Schatzberg, Leonardo Tozzi, Mayuresh S. Korgaonkar, Kenneth S. Kendler, Patrick Stetz, Brien P. Riley, Boris D. Heifets, Fazil Alıev and Gursharan Kalsi and has published in prestigious journals such as Nature Medicine, Nature Communications and SHILAP Revista de lepidopterología.

In The Last Decade

Laura M. Hack

27 papers receiving 431 citations

Hit Papers

Personalized brain circuit scores identify clinically dis... 2024 2026 2025 2024 25 50 75

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Laura M. Hack United States 11 131 96 89 77 76 31 436
Harry Rubin‐Falcone United States 16 226 1.7× 82 0.9× 59 0.7× 78 1.0× 84 1.1× 31 536
Aram Kim South Korea 17 224 1.7× 76 0.8× 116 1.3× 69 0.9× 97 1.3× 48 693
Hossein Sanjari Moghaddam Iran 16 209 1.6× 45 0.5× 111 1.2× 57 0.7× 50 0.7× 67 761
Cancan He China 15 278 2.1× 54 0.6× 144 1.6× 61 0.8× 156 2.1× 30 616
Mario Catena-Dell’Osso Italy 14 65 0.5× 89 0.9× 87 1.0× 116 1.5× 64 0.8× 25 651
Ya Luo China 13 212 1.6× 34 0.4× 49 0.6× 41 0.5× 103 1.4× 22 449
Makoto Okuya Japan 12 107 0.8× 133 1.4× 57 0.6× 48 0.6× 130 1.7× 32 596
Frank Enning Germany 11 137 1.0× 153 1.6× 54 0.6× 39 0.5× 86 1.1× 22 488
Regan Patrick United States 10 104 0.8× 58 0.6× 64 0.7× 28 0.4× 40 0.5× 38 453

Countries citing papers authored by Laura M. Hack

Since Specialization
Citations

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

Fields of papers citing papers by Laura M. Hack

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Laura M. Hack

This figure shows the co-authorship network connecting the top 25 collaborators of Laura M. Hack. A scholar is included among the top collaborators of Laura M. Hack 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 Laura M. Hack. Laura M. Hack 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
1.
Hack, Laura M., Leonardo Tozzi, Xue Zhang, et al.. (2025). A stratified precision medicine trial targeting α2A-adrenergic receptor agonism as a treatment for the cognitive biotype of depression. Nature Mental Health. 3(11). 1363–1373.
2.
Lii, Theresa R., et al.. (2025). Opioids diminish the placebo antidepressant response: Observational post hoc findings from a randomized controlled ketamine trial. Journal of Affective Disorders. 381. 200–204. 1 indexed citations
3.
Tozzi, Leonardo, Claire Bertrand, Laura M. Hack, et al.. (2024). A cognitive neural circuit biotype of depression showing functional and behavioral improvement after transcranial magnetic stimulation in the B-SMART-fMRI trial. Nature Mental Health. 2(8). 987–998. 10 indexed citations
4.
Smith, A., et al.. (2024). Prevalence and characteristics of preoperative patients with depression. British Journal of Anaesthesia. 133(1). 77–85. 2 indexed citations
5.
Tozzi, Leonardo, Xue Zhang, Adam Pines, et al.. (2024). Personalized brain circuit scores identify clinically distinct biotypes in depression and anxiety. Nature Medicine. 30(7). 2076–2087. 80 indexed citations breakdown →
6.
Laufer, J, et al.. (2024). Sequential Acute Courses of Transcranial Magnetic Stimulation in Major Depressive Disorder: A Retrospective Analysis in a Veteran Cohort. Journal of Affective Disorders Reports. 17. 100801–100801. 1 indexed citations
8.
Hack, Laura M. & Leanne M. Williams. (2024). Insight From Integrating Objective Data Into Psychiatric Encounters. Psychiatric Annals. 54(4).
9.
Lii, Theresa R., Ashleigh E. Smith, Robin L. Okada, et al.. (2023). Randomized trial of ketamine masked by surgical anesthesia in patients with depression. Nature Mental Health. 1(11). 876–886. 49 indexed citations
10.
Hack, Laura M., Xue Zhang, Boris D. Heifets, et al.. (2023). Ketamine’s acute effects on negative brain states are mediated through distinct altered states of consciousness in humans. Nature Communications. 14(1). 6631–6631. 11 indexed citations
11.
Hack, Laura M., Leonardo Tozzi, Mayuresh S. Korgaonkar, et al.. (2023). A Cognitive Biotype of Depression Linking Symptoms, Behavior Measures, Neural Circuits, and Differential Treatment Outcomes. JAMA Network Open. 6(6). e2318411–e2318411. 55 indexed citations
12.
Hack, Laura M., Shota Nishitani, Anna K. Knight, et al.. (2021). Epigenetic prediction of 17β-estradiol and relationship to trauma-related outcomes in women. SHILAP Revista de lepidopterología. 6. 100045–100045. 2 indexed citations
14.
Fischer, Adina S., Bailey Holt-Gosselin, Scott L. Fleming, et al.. (2020). Intrinsic reward circuit connectivity profiles underlying symptom and quality of life outcomes following antidepressant medication: a report from the iSPOT-D trial. Neuropsychopharmacology. 46(4). 809–819. 19 indexed citations
15.
Hack, Laura M., Gabriel R. Fries, Harris A. Eyre, et al.. (2019). Moving pharmacoepigenetics tools for depression toward clinical use. Journal of Affective Disorders. 249. 336–346. 27 indexed citations
16.
Kim, Young‐Jung, et al.. (2018). Practical outpatient pharmacotherapy for alcohol use disorder. Drugs in Context. 7. 1–14. 20 indexed citations
17.
Hack, Laura M., Tanja Jovanović, Sierra Carter, Kerry J. Ressler, & Alicia K. Smith. (2017). 894. Suicide Prediction Using Machine Learning Techniques in Screening and Clinician-Derived Data. Biological Psychiatry. 81(10). S361–S361. 3 indexed citations
18.
Mamdani, Mohammed, Vernell Williamson, Gowon O. McMichael, et al.. (2015). Integrating mRNA and miRNA Weighted Gene Co-Expression Networks with eQTLs in the Nucleus Accumbens of Subjects with Alcohol Dependence. PLoS ONE. 10(9). e0137671–e0137671. 66 indexed citations
19.
Dai, Nan, Leslie Foldager, Juan A. Gallego, et al.. (2011). Summaries from the XIX world congress of psychiatric genetics, Washington, DC, September 10–14, 2011. American Journal of Medical Genetics Part B Neuropsychiatric Genetics. 159B(1). 128–129.
20.
Hack, Laura M., Gursharan Kalsi, Fazil Alıev, et al.. (2010). Limited Associations of Dopamine System Genes With Alcohol Dependence and Related Traits in the Irish Affected Sib Pair Study of Alcohol Dependence (IASPSAD). Alcoholism Clinical and Experimental Research. 35(2). 376–385. 31 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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