Steven N. Ebert

1.1k citations
33 papers · 925 · h-index 18

Impact in

Papers in

Steven N. Ebert

33 papers receiving 914 citations

Peers

Steven N. Ebert
Comparison fields: 5 of 102
  • Cellular and Molecular Neuroscience 212
  • Behavioral Neuroscience 34
  • Cardiology and Cardiovascular Medicine 156
  • Molecular Biology 501
  • Endocrine and Autonomic Systems 44
Replace Vi Pham with:
Vi Pham Australia
Didier Hentsch France
Burcu Hasdemir United States
L. A. Martin United States
Matthew C. Evans United Kingdom
A. Rodríguez Del Castillo Canada
Nobumasa Hara Japan
Armen A. Galoyan Armenia
Jeanine Jochems United States
Byeongjun Lee South Korea
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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 2016120
2 201090
3 200766
4 199865
5 201163
6 199650
7 199844
8 201743
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 200821
16 202021
17 200321
18 200121
19 200417
20 201217

About Steven N. Ebert

Steven N. Ebert is a scholar working on Molecular Biology, Cardiology and Cardiovascular Medicine, Surgery, Cellular and Molecular Neuroscience and Physiology, having authored 33 papers that have together received 925 indexed citations. Recurring topics across this work include Ion channel regulation and function (8 papers), Cardiac electrophysiology and arrhythmias (7 papers), Receptor Mechanisms and Signaling (7 papers), Nicotinic Acetylcholine Receptors Study (7 papers), Congenital heart defects research (4 papers), Cardiac Ischemia and Reperfusion (4 papers), Tissue Engineering and Regenerative Medicine (4 papers) and Pancreatic function and diabetes (3 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (212 citations), Behavioral Neuroscience (34 citations), Cardiology and Cardiovascular Medicine (156 citations), Molecular Biology (501 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, Walter J. Koch, Gerald W. Dorn, Erhe Gao, Anastasios Lymperopoulos, Giuseppe Rengo, Robert P. Yasuda, Kenneth J. Kellar and Karl Pfeifer. Their work appears in journals such as Journal of Neurochemistry, Journal of Pharmacology and Experimental Therapeutics, Biochemical and Biophysical Research Communications, Journal of Biological Chemistry and Nature Communications.

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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