Gail Lerner

2.1k citations
17 papers · 1.7k · h-index 10

Impact in

Papers in

Gail Lerner

16 papers receiving 1.6k citations

Peers

Gail Lerner
Comparison fields: 5 of 84
  • Psychiatry and Mental health 494
  • Radiology, Nuclear Medicine and Imaging 634
  • Cognitive Neuroscience 338
  • Biological Psychiatry 31
  • Cardiology and Cardiovascular Medicine 210
Replace Bumhee Park with:
Bumhee Park South Korea
Elizabeth C. Leritz United States
F.E. de Leeuw Netherlands
Marıá K. Jónsdóttir Iceland
Guihua Jiang China
Rosemary Brown United Kingdom
Karlijn F. de Laat Netherlands
Anouk G.W. van Norden Netherlands
Marius de Groot Netherlands
Tokiji Hanihara Japan
Gail Lerner relative to Bumhee Park South Korea Bumhee Park's profile →
Citations per field
00.5×2.8×
Bumhee Park · 1×
Citations per year

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-authors

The 25 scholars most cited alongside Gail Lerner, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Gail Lerner Line = papers co-authored together Gail Lerner links everyone, so they are left out of the graph.

All Works

17 of 17 papers shown
#Work
1 1994473
2 1996418
3 1993272
4 1998137
5 199797
6 199670
7 199859
8 199847
9 199841
10 199339
11 19924
12
Bone marrow biopsy in miliary tuberculosis.
19553
13 19932
14 19962
15 20252
16 19921
17 19960

About Gail Lerner

Gail Lerner is a scholar working on Radiology, Nuclear Medicine and Imaging, Cognitive Neuroscience, Psychiatry and Mental health, Surgery and Cardiology and Cardiovascular Medicine, having authored 17 papers that have together received 1.7k indexed citations. Recurring topics across this work include Cardiac Imaging and Diagnostics (6 papers), Schizophrenia research and treatment (3 papers), Coronary Interventions and Diagnostics (2 papers), Advanced MRI Techniques and Applications (2 papers), Obsessive-Compulsive Spectrum Disorders (2 papers), Hematological disorders and diagnostics (1 paper), Mental Health and Psychiatry (1 paper) and Tuberculosis Research and Epidemiology (1 paper). The work is most often cited by research in Psychiatry and Mental health (494 citations), Radiology, Nuclear Medicine and Imaging (634 citations), Cognitive Neuroscience (338 citations), Biological Psychiatry (31 citations) and Cardiology and Cardiovascular Medicine (210 citations). Gail Lerner has collaborated with scholars based in United States, Germany and Jamaica. Frequent co-authors include Alan D. Guerci, Yadon Arad, Ken Goodman, Robert M. Bilder, Bernhard Bogerts, Manzar Ashtari, Louise A. Spadaro, Scott Sherman, Michael Borenstein and H. Wu. Their work appears in journals such as Journal of the American College of Cardiology, Schizophrenia Research, Biological Psychiatry, Clinical Neuropharmacology and Coronary Artery Disease.

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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