Gail Lerner

2.0k total citations · 1 hit paper
17 papers, 1.7k citations indexed

About

Gail Lerner is a scholar working on Radiology, Nuclear Medicine and Imaging, Surgery and Cognitive Neuroscience. According to data from OpenAlex, Gail Lerner has authored 17 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Radiology, Nuclear Medicine and Imaging, 5 papers in Surgery and 3 papers in Cognitive Neuroscience. Recurrent topics in Gail Lerner's work include Cardiac Imaging and Diagnostics (6 papers), Coronary Interventions and Diagnostics (5 papers) and Schizophrenia research and treatment (3 papers). Gail Lerner is often cited by papers focused on Cardiac Imaging and Diagnostics (6 papers), Coronary Interventions and Diagnostics (5 papers) and Schizophrenia research and treatment (3 papers). Gail Lerner collaborates with scholars based in United States, Germany and Jamaica. Gail Lerner's co-authors include Alan D. Guerci, Ken Goodman, Yadon Arad, Robert M. Bilder, Bernhard Bogerts, Manzar Ashtari, Louise A. Spadaro, Scott Sherman, Miranda Chakos and J.A. Lieberman and has published in prestigious journals such as Circulation, Journal of the American College of Cardiology and American Journal of Psychiatry.

In The Last Decade

Gail Lerner

15 papers receiving 1.6k citations

Hit Papers

Increase in caudate nuclei volumes of first-episode schiz... 1994 2026 2004 2015 1994 100 200 300 400

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Gail Lerner United States 10 814 533 482 346 275 17 1.7k
Francisco Lomeña Spain 26 416 0.5× 494 0.9× 641 1.3× 97 0.3× 178 0.6× 57 2.0k
Bumhee Park South Korea 22 410 0.5× 263 0.5× 773 1.6× 96 0.3× 129 0.5× 140 1.8k
Sunao Mizumura Japan 17 458 0.6× 367 0.7× 293 0.6× 162 0.5× 77 0.3× 72 1.3k
Lorraine M. Fig United States 21 336 0.4× 115 0.2× 633 1.3× 131 0.4× 467 1.7× 43 2.2k
Soo Mee Lim South Korea 21 319 0.4× 150 0.3× 178 0.4× 88 0.3× 253 0.9× 72 1.4k
M.C.T.F.M. de Krom Netherlands 25 1.2k 1.5× 774 1.5× 395 0.8× 50 0.1× 1.4k 4.9× 44 2.9k
Yawu Liu Finland 24 810 1.0× 705 1.3× 451 0.9× 81 0.2× 53 0.2× 71 2.0k
Brian Tress Australia 21 378 0.5× 384 0.7× 267 0.6× 100 0.3× 93 0.3× 40 1.9k
J L Martí-Vilalta Spain 18 357 0.4× 249 0.5× 294 0.6× 115 0.3× 95 0.3× 43 1.5k
Michael Schocke Austria 18 426 0.5× 157 0.3× 202 0.4× 84 0.2× 282 1.0× 35 1.2k

Countries citing papers authored by Gail Lerner

Since Specialization
Citations

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

Fields of papers citing papers by Gail Lerner

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Gail Lerner

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

All Works

17 of 17 papers shown
2.
Guerci, Alan D., et al.. (1998). Comparison of electron beam computed tomography scanning and conventional risk factor assessment for the prediction of angiographic coronary artery disease. Journal of the American College of Cardiology. 32(3). 673–679. 137 indexed citations
3.
Arad, Yadon, Louise A. Spadaro, Marguerite Roth, et al.. (1998). Correlations Between Vascular Calcification and Atherosclerosis: A Comparative Electron Beam CT Study of the Coronary and Carotid Arteries. Journal of Computer Assisted Tomography. 22(2). 207–211. 41 indexed citations
4.
Arad, Yadon, Marguerite Roth, Ken Goodman, et al.. (1998). Serum concentration of calcium, 1,25 vitamin D and parathyroid hormone are not correlated with coronary calcifications. An electron beam computed tomography study. Coronary Artery Disease. 9(8). 513–518. 59 indexed citations
5.
Robinson, Delbert G., Joyce A. Walsleben, Simcha Pollack, & Gail Lerner. (1998). Nocturnal polysomnography in obsessive–compulsive disorder. Psychiatry Research. 80(3). 257–263. 47 indexed citations
6.
Guerci, Alan D., Louise A. Spadaro, Jeffrey J. Popma, et al.. (1997). Relation of Coronary Calcium Score by Electron Beam Computed Tomography to Arteriographic Findings in Asymptomatic and Symptomatic Adults. The American Journal of Cardiology. 79(2). 128–133. 97 indexed citations
7.
Spadaro, Louise A., Scott Sherman, Marguerite Roth, Gail Lerner, & Alan D. Guerci. (1996). Comparison of thallium stress testing and electron beam tomography in the prediction of coronary artery disease. Journal of the American College of Cardiology. 27(2). 175–175. 2 indexed citations
8.
Guerci, Alan D., Yadon Arad, Louise A. Spadaro, et al.. (1996). 19 month follow-up of 1183 asymptomatic adults undergoing electron beam tomography (EBT) of the coronary arteries. Journal of the American College of Cardiology. 27(2). 175–175.
9.
Robinson, Delbert G., Margaret G. Woerner, Simcha Pollack, & Gail Lerner. (1996). Subject Selection Biases in Clinical Trials. Journal of Clinical Psychopharmacology. 16(2). 170–176. 70 indexed citations
10.
Arad, Yadon, Louise A. Spadaro, Ken Goodman, et al.. (1996). Predictive Value of Electron Beam Computed Tomography of the Coronary Arteries. Circulation. 93(11). 1951–1953. 418 indexed citations
11.
Chakos, Miranda, J.A. Lieberman, Robert M. Bilder, et al.. (1994). Increase in caudate nuclei volumes of first-episode schizophrenic patients taking antipsychotic drugs. American Journal of Psychiatry. 151(10). 1430–1436. 474 indexed citations breakdown →
12.
Bogerts, Bernhard, Jeffrey A. Lieberman, Manzar Ashtari, et al.. (1993). Hippocampus-amygdala volumes and psychopathology in chronic schizophrenia. Biological Psychiatry. 33(4). 236–246. 272 indexed citations
13.
Levy, Deborah L., Melissa J. Smith, Delbert G. Robinson, et al.. (1993). Methylphenidate increases thought disorder in recent onset schizophrenics, but not in normal controls. Biological Psychiatry. 34(8). 507–514. 39 indexed citations
14.
Chakos, Miranda, et al.. (1993). Prospective MRI study of caudate pathomorphology in first episode schizophrenia. Schizophrenia Research. 9(2-3). 196–196. 2 indexed citations
15.
Bogerts, B., J.A. Lieberman, Robert M. Bilder, et al.. (1992). A VOLUMETRIC MRI STUDY OF LIMBIC STRUCTURES IN CHRONIC SCHIZOPHRENIA - RELATIONSHIP TO PSYCHOPATHOLOGY. Clinical Neuropharmacology. 15. 112A–113A. 4 indexed citations
16.
Bogerts, B., Jeffrey A. Lieberman, Manzar Ashtari, Gustav Degreef, & Gail Lerner. (1992). Temporal limbic structure volumes and psychopathology in chronic schizophrenia. Schizophrenia Research. 6(2). 143–143. 1 indexed citations
17.
Lerner, Gail, et al.. (1955). Bone marrow biopsy in miliary tuberculosis.. PubMed. 4(4). 199–202. 3 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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