Gail Lerner

2.1k citations
17 papers · 1.8k · h-index 10

Impact in

Papers in

Gail Lerner

17 papers receiving 1.7k citations

Peers

Gail Lerner
Comparison fields: 5 of 88
  • Psychiatry and Mental health 532
  • Radiology, Nuclear Medicine and Imaging 689
  • Cognitive Neuroscience 372
  • Biological Psychiatry 32
  • Cardiology and Cardiovascular Medicine 237
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Elizabeth C. Leritz United States
Marıá K. Jónsdóttir Iceland
Katrin Arélin Germany
Bumhee Park South Korea
Katherine A. Gifford United States
Anouk G.W. van Norden Netherlands
Rosemary Brown United Kingdom
Guihua Jiang China
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Citations per field
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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 1994503
2 1996452
3 1993292
4 1998146
5 1997104
6 199672
7 199867
8 199857
9 199342
10 199841
11 19924
12
Bone marrow biopsy in miliary tuberculosis.
19553
13 20253
14 19933
15 19963
16 19922
17 19961

About Gail Lerner

Gail Lerner is a scholar working on Radiology, Nuclear Medicine and Imaging, Psychiatry and Mental health, Statistics and Probability, Cognitive Neuroscience and Clinical Psychology, having authored 17 papers that have together received 1.8k indexed citations. Recurring topics across this work include Cardiac Imaging and Diagnostics (6 papers), Schizophrenia research and treatment (3 papers), Obsessive-Compulsive Spectrum Disorders (2 papers), Cardiovascular Disease and Adiposity (2 papers), Advanced MRI Techniques and Applications (2 papers), Statistical Methods in Clinical Trials (1 paper), Tuberculosis Research and Epidemiology (1 paper) and Reading and Literacy Development (1 paper). The work is most often cited by research in Psychiatry and Mental health (532 citations), Radiology, Nuclear Medicine and Imaging (689 citations), Cognitive Neuroscience (372 citations), Biological Psychiatry (32 citations) and Cardiology and Cardiovascular Medicine (237 citations). Gail Lerner has collaborated with scholars based in United States, Germany and Jamaica. Frequent co-authors include Alan D. Guerci, Ken Goodman, Yadon Arad, Robert M. Bilder, Manzar Ashtari, Bernhard Bogerts, Louise A. Spadaro, Scott Sherman, Miranda Chakos and J.A. Lieberman. Their work appears in journals such as Journal of the American College of Cardiology, Schizophrenia Research, Biological Psychiatry, Clinical Neuropharmacology and American Journal of Psychiatry.

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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