Steven N. Ebert

2.3k citations
32 papers · 1.8k indexed · h-index 20

Impact in

Papers in

Steven N. Ebert

31 papers receiving 1.7k citations

Peers

Steven N. Ebert
Comparison fields: 5 of 100
  • Cardiology and Cardiovascular Medicine 953
  • Anesthesiology and Pain Medicine 92
  • Sensory Systems 75
  • Molecular Biology 1.1k
  • Cellular and Molecular Neuroscience 225
Replace Ilari Paakkari with:
Ilari Paakkari Finland
Bernard McDonald Canada
Eitan Friedman United States
Vanessa Pacciari Gutierrez Brazil
Thomas E. Nelson United States
Norma Selve Germany
Beverley A. Britt Canada
Carmen Montiel Spain
Sabatino Ventura Australia
Régent Laporte United States
Steven N. Ebert relative to Ilari Paakkari Finland Ilari Paakkari's profile →
Citations per field
00.5×3.8×
Ilari Paakkari · 1×
Citations per year

Countries citing papers authored by Steven N. Ebert

Since Specialization
Citations

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

Fields of papers citing papers by Steven N. Ebert

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Steven N. Ebert. 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 Steven N. Ebert. The network helps show where Steven N. Ebert may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 20189
2 20170
3 200628
4 2006116
5 200421
6 200442
7 200461
8 20048
9 2003165
10 2002209
11 200018
12 199945
13 1998159
14 19981
15 199822
16 199865
17 19979
18 199552
19 199592
20 199428

About Steven N. Ebert

Steven N. Ebert is a scholar working on Cardiology and Cardiovascular Medicine, Sensory Systems, Molecular Biology, Developmental Neuroscience and Virology, having authored 32 papers that have together received 1.8k indexed citations. Recurring topics across this work include Cardiac electrophysiology and arrhythmias (17 papers), Ion channel regulation and function (16 papers), Receptor Mechanisms and Signaling (6 papers), Congenital heart defects research (3 papers), Ion Channels and Receptors (3 papers), Synthesis and Biological Activity (3 papers), Chemical Synthesis and Analysis (2 papers) and Cardiac pacing and defibrillation studies (2 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (953 citations), Anesthesiology and Pain Medicine (92 citations), Sensory Systems (75 citations), Molecular Biology (1.1k citations) and Cellular and Molecular Neuroscience (225 citations). Steven N. Ebert has collaborated with scholars based in United States, Germany and Pakistan. Frequent co-authors include Raymond L. Woosley, Alexander N. Katchman, Dona L. Wong, Xiaoke Liu, Michael J. Kilborn, Paolo L. Manfredi, Craig Kornick, Robert P. Thompson, Karl Pfeifer and Alexander Grinberg. Their work appears in journals such as Journal of Pharmacology and Experimental Therapeutics, Journal of Cardiovascular Pharmacology, Journal of Biological Chemistry, Journal of Virology and Advances in pharmacology.

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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