Daniel J. Lerner

1.6k citations
21 papers · 1.2k · h-index 19

Impact in

Papers in

    • Cardiac electrophysiology and arrhythmias 10
    • Cardiac pacing and defibrillation studies 3
    • Atrial Fibrillation Management and Outcomes 3
    • Ion channel regulation and function 9
    • Ion Transport and Channel Regulation 3
    • RNA Research and Splicing 2

Daniel J. Lerner

20 papers receiving 1.2k citations

Peers

Daniel J. Lerner
Comparison fields: 5 of 89
  • Cardiology and Cardiovascular Medicine 745
  • Cellular and Molecular Neuroscience 233
  • Molecular Biology 594
  • Hematology 74
  • Immunology and Allergy 36
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Citations per field
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Citations per year

Countries citing papers authored by Daniel J. Lerner

Since Specialization
Citations

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

Fields of papers citing papers by Daniel J. Lerner

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Daniel J. 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 Daniel J. Lerner Line = papers co-authored together Daniel J. Lerner links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 21 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1987125
2 2006120
3 2009109
4 199694
5 201090
6 200883
7 200379
8 201475
9 200566
10 201063
11 200357
12 201453
13 201951
14 201141
15 200936
16 201026
17 200322
18 201719
19 201318
20 201918

About Daniel J. Lerner

Daniel J. Lerner is a scholar working on Cardiology and Cardiovascular Medicine, Molecular Biology, Cellular and Molecular Neuroscience, Infectious Diseases and Surgery, having authored 21 papers that have together received 1.2k indexed citations. Recurring topics across this work include Cardiac electrophysiology and arrhythmias (10 papers), Ion channel regulation and function (9 papers), Ion Transport and Channel Regulation (3 papers), Cardiac pacing and defibrillation studies (3 papers), Atrial Fibrillation Management and Outcomes (3 papers), Neuroscience and Neuropharmacology Research (2 papers), RNA Research and Splicing (2 papers) and Potassium and Related Disorders (1 paper). The work is most often cited by research in Cardiology and Cardiovascular Medicine (745 citations), Cellular and Molecular Neuroscience (233 citations), Molecular Biology (594 citations), Hematology (74 citations) and Immunology and Allergy (36 citations). Daniel J. Lerner has collaborated with scholars based in United States, United Kingdom and South Africa. Frequent co-authors include Geoffrey W. Abbott, Torsten K. Roepke, Kerry Purtell, John K. Young, Elizabeth C. King, Mary Jo Braid‐Forbes, Shaun R. Coughlin, M. Rizwan Sohail, Mian Chen and Arun Anantharam. Their work appears in journals such as Journal of Biological Chemistry, The FASEB Journal, Journal of Thoracic and Cardiovascular Surgery, Pacing and Clinical Electrophysiology and Journal of the American College of Cardiology.

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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