Steven N. Ebert

2.3k citations
33 papers · 1.9k · h-index 20

Impact in

Papers in

Steven N. Ebert

32 papers receiving 1.8k citations

Peers

Steven N. Ebert
Comparison fields: 5 of 102
  • Cardiology and Cardiovascular Medicine 911
  • Anesthesiology and Pain Medicine 88
  • Sensory Systems 79
  • Molecular Biology 922
  • Cellular and Molecular Neuroscience 202
Replace Ilari Paakkari with:
Ilari Paakkari Finland
Thomas E. Nelson United States
Vanessa Pacciari Gutierrez Brazil
Bernard McDonald Canada
Norma Selve Germany
Xiaoping Gu China
Timothy V. Murphy Australia
Beverley A. Britt Canada
Bernard Lévy United States
Sabatino Ventura Australia
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Citations per field
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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

Showing the 20 most-cited of 33 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2002217
2 2001216
3 1998181
4 2003179
5 1998175
6 2006123
7 199595
8 199495
9 199869
10 200165
11 200462
12 199961
13 199553
14 199946
15 200443
16 199430
17 199030
18 200630
19 199822
20 200422

About Steven N. Ebert

Steven N. Ebert is a scholar working on Molecular Biology, Cardiology and Cardiovascular Medicine, Epidemiology, Oncology and Sensory Systems, having authored 33 papers that have together received 1.9k 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), Synthesis and Biological Activity (3 papers), Ion Channels and Receptors (3 papers), Polyomavirus and related diseases (2 papers) and Cardiac pacing and defibrillation studies (2 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (911 citations), Anesthesiology and Pain Medicine (88 citations), Sensory Systems (79 citations), Molecular Biology (922 citations) and Cellular and Molecular Neuroscience (202 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, Paolo L. Manfredi, Michael J. Kilborn, 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 Gastroenterology.

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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