Gail Sievert

480 citations
15 papers · 374 indexed · h-index 11

Impact in

Papers in

    • Ion channel regulation and function 5
    • Receptor Mechanisms and Signaling 3
    • Cardiac electrophysiology and arrhythmias 4
    • Cardiomyopathy and Myosin Studies 4
    • Viral Infections and Immunology Research 3
    • Cardiovascular Effects of Exercise 2

Gail Sievert

14 papers receiving 369 citations

Peers

Gail Sievert
Comparison fields: 5 of 65
  • Cardiology and Cardiovascular Medicine 161
  • Reproductive Medicine 47
  • Molecular Biology 259
  • Cellular and Molecular Neuroscience 56
  • Cell Biology 27
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Gail Sievert relative to Tomoaki Sano Japan Tomoaki Sano's profile →
Citations per field
00.5×7.5×
Tomoaki Sano · 1×
Citations per year

Countries citing papers authored by Gail Sievert

Since Specialization
Citations

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

Fields of papers citing papers by Gail Sievert

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

15 of 15 papers shown
#Work
1 200852
2 200448
3 201042
4 201339
5 199336
6 201132
7 200232
8 201225
9 201024
10 199718
11 201218
12 20205
13 20222
14 20111
15 20110

About Gail Sievert

Gail Sievert is a scholar working on Molecular Biology, Cardiology and Cardiovascular Medicine, Cellular and Molecular Neuroscience, Infectious Diseases and Hematology, having authored 15 papers that have together received 374 indexed citations. Recurring topics across this work include Ion channel regulation and function (5 papers), Cardiac electrophysiology and arrhythmias (4 papers), Cardiomyopathy and Myosin Studies (4 papers), Receptor Mechanisms and Signaling (3 papers), Viral Infections and Immunology Research (3 papers), Neuroscience and Neural Engineering (2 papers), Cardiovascular Effects of Exercise (2 papers) and Platelet Disorders and Treatments (2 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (161 citations), Reproductive Medicine (47 citations), Molecular Biology (259 citations), Cellular and Molecular Neuroscience (56 citations) and Cell Biology (27 citations). Gail Sievert has collaborated with scholars based in United States, South Korea and Hungary. Frequent co-authors include Marius P. Sumandea, C. William Balke, Inhae Ji, Myoungkun Jeoung, Tae H. Ji, Jonathan Satin, Douglas Andres, Mary L. Garcı́a-Cazarı́n, Boyd E. Haley and R. John Solaro. Their work appears in journals such as Journal of Biological Chemistry, Biophysical Journal, Blood, Pflügers Archiv - European Journal of Physiology and Channels.

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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