Eric Schauble

1.4k citations
9 papers · 1.1k indexed · h-index 8

Impact in

Papers in

Eric Schauble

9 papers receiving 1.1k citations

Peers

Eric Schauble
Comparison fields: 5 of 85
  • Hematology 179
  • Cardiology and Cardiovascular Medicine 359
  • Complementary and alternative medicine 103
  • Physiology 294
  • Cellular and Molecular Neuroscience 188
Replace Zhikui Wei with:
Zhikui Wei United States
Sara F. Rabito United States
Carmen González Spain
Damodaran Narayanan United States
Maqsood A. Chotani United States
Diane Lebesgue United States
Y Hirata Japan
Taihei Imai Japan
B Schubert Germany
T. Miyauchi Japan
Eric Schauble relative to Zhikui Wei United States Zhikui Wei's profile →
Citations per field
00.5×4.9×
Zhikui Wei · 1×
Citations per year

Countries citing papers authored by Eric Schauble

Since Specialization
Citations

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

Fields of papers citing papers by Eric Schauble

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 17 scholars most cited alongside Eric Schauble, 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 Eric Schauble Line = papers co-authored together Eric Schauble links everyone, so they are left out of the graph.

All Works

9 of 9 papers shown
#Work
1 1999265
2 2000234
3 1999230
4 1997158
5 1998114
6 199856
7 199932
8 199717
9 19991

About Eric Schauble

Eric Schauble is a scholar working on Cardiology and Cardiovascular Medicine, Animal Science and Zoology, Physiology, Molecular Biology and Rehabilitation, having authored 9 papers that have together received 1.1k indexed citations. Recurring topics across this work include Adipose Tissue and Metabolism (4 papers), Pharmacological Effects and Assays (4 papers), Heart Rate Variability and Autonomic Control (3 papers), Receptor Mechanisms and Signaling (3 papers), Exercise and Physiological Responses (2 papers), Ion channel regulation and function (1 paper), Antimicrobial Resistance in Staphylococcus (1 paper) and Heart Failure Treatment and Management (1 paper). The work is most often cited by research in Hematology (179 citations), Cardiology and Cardiovascular Medicine (359 citations), Complementary and alternative medicine (103 citations), Physiology (294 citations) and Cellular and Molecular Neuroscience (188 citations). Eric Schauble has collaborated with scholars based in United States and Brazil. Frequent co-authors include Daniel Bernstein, Brian K. Kobilka, Daniel Rohrer, Andrzej Chruscinski, Kavin Desai, Andrew J. Maxwell, John P. Cooke, Shaun R. Coughlin, Gilberto R. Sambrano and Gregory S. Barsh. Their work appears in journals such as American Journal of Physiology-Heart and Circulatory Physiology, Journal of Biological Chemistry, The Journal of Immunology, Circulation 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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