Steven N. Ebert

34 papers receiving 906 citations

Peers

Steven N. Ebert
Comparison fields: 5 of 108
  • Cellular and Molecular Neuroscience 233
  • Behavioral Neuroscience 38
  • Molecular Biology 534
  • Cardiology and Cardiovascular Medicine 174
  • Endocrine and Autonomic Systems 44
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Matthew C. Evans United Kingdom
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Armen A. Galoyan Armenia
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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 34 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2016117
2 201089
3 200767
4 199866
5 201162
6 199649
7 199844
8 201742
9 200140
10 199726
11
Evidence of a functional alpha7-neuronal nicotinic receptor subtype located on motoneurons of the dorsal motor nucleus of the vagus.
200124
12 200223
13 201023
14 201022
15 200121
16 200321
17 200820
18 202018
19 201217
20 200417

About Steven N. Ebert

Steven N. Ebert is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience, Cardiology and Cardiovascular Medicine, Developmental Neuroscience and Physiology, having authored 34 papers that have together received 917 indexed citations. Recurring topics across this work include Ion channel regulation and function (8 papers), Receptor Mechanisms and Signaling (7 papers), Cardiac electrophysiology and arrhythmias (7 papers), Nicotinic Acetylcholine Receptors Study (7 papers), Pancreatic function and diabetes (4 papers), Tissue Engineering and Regenerative Medicine (4 papers), Cardiac Ischemia and Reperfusion (4 papers) and Congenital heart defects research (4 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (233 citations), Behavioral Neuroscience (38 citations), Molecular Biology (534 citations), Cardiology and Cardiovascular Medicine (174 citations) and Endocrine and Autonomic Systems (44 citations). Steven N. Ebert has collaborated with scholars based in United States, United Kingdom and France. Frequent co-authors include Brenda J. Siddall, Song Her, Anastasios Lymperopoulos, Gerald W. Dorn, Walter J. Koch, Giuseppe Rengo, Erhe Gao, Kenneth J. Kellar, Robert P. Yasuda and David Taylor. Their work appears in journals such as Journal of Pharmacology and Experimental Therapeutics, Journal of Neurochemistry, Journal of Biological Chemistry, Biochemical and Biophysical Research Communications and Stem Cells.

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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