Frances H. Gabbay

797 total citations
24 papers, 616 citations indexed

About

Frances H. Gabbay is a scholar working on Cardiology and Cardiovascular Medicine, Experimental and Cognitive Psychology and Cellular and Molecular Neuroscience. According to data from OpenAlex, Frances H. Gabbay has authored 24 papers receiving a total of 616 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Cardiology and Cardiovascular Medicine, 6 papers in Experimental and Cognitive Psychology and 5 papers in Cellular and Molecular Neuroscience. Recurrent topics in Frances H. Gabbay's work include Neurotransmitter Receptor Influence on Behavior (5 papers), Substance Abuse Treatment and Outcomes (4 papers) and Heart Rate Variability and Autonomic Control (4 papers). Frances H. Gabbay is often cited by papers focused on Neurotransmitter Receptor Influence on Behavior (5 papers), Substance Abuse Treatment and Outcomes (4 papers) and Heart Rate Variability and Autonomic Control (4 papers). Frances H. Gabbay collaborates with scholars based in United States, Norway and Israel. Frances H. Gabbay's co-authors include John S. Gottdiener, David S. Krantz, Alan Rozanski, Antonio M. Persico, Jacob Klein, George R. Uhl, Willem J. Kop, Susan M. Hedges, LINDA E. NEBEL and Robert H. Howell and has published in prestigious journals such as Circulation, Journal of the American College of Cardiology and Biological Psychiatry.

In The Last Decade

Frances H. Gabbay

22 papers receiving 593 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Frances H. Gabbay United States 12 231 151 93 92 80 24 616
Deepak Haikerwal Australia 7 261 1.1× 95 0.6× 59 0.6× 58 0.6× 37 0.5× 8 555
Ursula Zambelli Italy 11 60 0.3× 183 1.2× 262 2.8× 139 1.5× 66 0.8× 14 770
M. Timpano Italy 9 55 0.2× 155 1.0× 245 2.6× 133 1.4× 63 0.8× 10 695
Celia Brenchley Australia 5 283 1.2× 75 0.5× 56 0.6× 53 0.6× 33 0.4× 8 581
Anja Kniest Germany 12 81 0.4× 61 0.4× 75 0.8× 61 0.7× 56 0.7× 14 547
M.Michele Murburg United States 11 71 0.3× 55 0.4× 230 2.5× 109 1.2× 115 1.4× 17 610
Barbara Deiana United States 7 64 0.3× 74 0.5× 349 3.8× 114 1.2× 71 0.9× 7 716
Gustavo E. Tafet Argentina 8 48 0.2× 78 0.5× 143 1.5× 97 1.1× 79 1.0× 14 727
Charles W. Popper United States 12 67 0.3× 100 0.7× 177 1.9× 38 0.4× 96 1.2× 27 612
Boris A. Dashevsky United States 10 48 0.2× 58 0.4× 261 2.8× 73 0.8× 73 0.9× 11 753

Countries citing papers authored by Frances H. Gabbay

Since Specialization
Citations

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

Fields of papers citing papers by Frances H. Gabbay

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Frances H. Gabbay. 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 Frances H. Gabbay. The network helps show where Frances H. Gabbay may publish in the future.

Co-authorship network of co-authors of Frances H. Gabbay

This figure shows the co-authorship network connecting the top 25 collaborators of Frances H. Gabbay. A scholar is included among the top collaborators of Frances H. Gabbay 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 Frances H. Gabbay. Frances H. Gabbay 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.
2.
Gabbay, Frances H., Gary H. Wynn, Matthew W. Georg, et al.. (2024). Toward personalized care for insomnia in the US Army: a machine learning model to predict response to cognitive behavioral therapy for insomnia. Journal of Clinical Sleep Medicine. 20(6). 921–931. 3 indexed citations
3.
Gabbay, Frances H., Gary H. Wynn, Matthew W. Georg, et al.. (2023). Toward personalized care for insomnia in the US Army: development of a machine-learning model to predict response to pharmacotherapy. Journal of Clinical Sleep Medicine. 19(8). 1399–1410. 2 indexed citations
4.
Ursano, Robert J., Frances H. Gabbay, & Carol S. Fullerton. (2014). Military Families In Transition: Stress, Resilience, And Well-Being. 3 indexed citations
5.
Allen, J. D. & Frances H. Gabbay. (2012). The Amphetamine Response Moderates the Relationship Between Negative Emotionality and Alcohol Use. Alcoholism Clinical and Experimental Research. 37(2). 348–360. 10 indexed citations
6.
McDonald, Craig G., Frances H. Gabbay, Jeremy C. Rietschel, & Connie C. Duncan. (2010). Evidence for a new late positive ERP component in an attended novelty oddball task. Psychophysiology. 47(5). 809–13. 18 indexed citations
7.
Gabbay, Frances H., Connie C. Duncan, & Craig G. McDonald. (2010). Brain potential indices of novelty processing are associated with preference for amphetamine.. Experimental and Clinical Psychopharmacology. 18(6). 470–488. 11 indexed citations
8.
Gabbay, Frances H.. (2005). Family History of Alcoholism and Response to Amphetamine: Sex Differences in the Effect of Risk. Alcoholism Clinical and Experimental Research. 29(5). 773–780. 11 indexed citations
9.
Gabbay, Frances H.. (2003). Variations in affect following amphetamine and placebo: Markers of stimulant drug preference.. Experimental and Clinical Psychopharmacology. 11(1). 91–101. 32 indexed citations
10.
Gabbay, Frances H.. (2003). Variations in affect following amphetamine and placebo: Markers of stimulant drug preference.. Experimental and Clinical Psychopharmacology. 11(1). 91–101. 30 indexed citations
11.
Gabbay, Frances H., David S. Krantz, Willem J. Kop, et al.. (1996). Triggers of myocardial ischemia during daily life in patients with coronary artery disease: Physical and mental activities, anger and smoking. Journal of the American College of Cardiology. 27(3). 585–592. 125 indexed citations
12.
13.
NEBEL, LINDA E., et al.. (1996). The circadian variation of cardiovascular stress levels and reactivity: Relationships to individual differences in morningness/eveningness. Psychophysiology. 33(3). 273–281. 51 indexed citations
14.
Krantz, David S., Susan M. Hedges, Frances H. Gabbay, et al.. (1994). Triggers of angina and ST-segment depression in ambulatory patients with coronary artery disease: Evidence for an uncoupling of angina and ischemia. American Heart Journal. 128(4). 703–712. 43 indexed citations
15.
Krantz, David S., et al.. (1993). Mental and Physical Triggers of Silent Myocardial Ischemia: Ambulatory Studies Using Self-Monitoring Diary Methodology. Annals of Behavioral Medicine. 15(1). 33–40. 14 indexed citations
16.
Gabbay, Frances H.. (1992). Behavior-Genetic Strategies in the Study of Emotion. Psychological Science. 3(1). 50–55. 35 indexed citations
17.
Klein, Jacob, Frances H. Gabbay, Robert H. Howell, et al.. (1991). The relationship between myocardial hypoperfusion and the daily life triggers of myocardial ischemia. Journal of the American College of Cardiology. 17(2). A391–A391. 1 indexed citations
18.
Krantz, David S., Frances H. Gabbay, Susan M. Hedges, et al.. (1991). Behavioral Triggers of Silent and Symptomatic Myocardial Ischemia. Journal of Cardiovascular Electrophysiology. 2(s2). 2 indexed citations
19.
Gabbay, Frances H.. (1990). Relatives at Risk for Mental Disorder. The Journal of Nervous and Mental Disease. 178(7). 469–471. 4 indexed citations
20.
Dorevitch, A & Frances H. Gabbay. (1984). Neuroleptic-associated catatonic reaction.. PubMed. 2(6). 581–2. 2 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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