John W. Eckstein

2.0k citations
58 papers · 1.4k indexed · h-index 23

Impact in

Papers in

John W. Eckstein

57 papers receiving 1.2k citations

Peers

John W. Eckstein
Comparison fields: 5 of 106
  • Cardiology and Cardiovascular Medicine 594
  • Endocrine and Autonomic Systems 111
  • Physiology 318
  • Anesthesiology and Pain Medicine 62
  • Complementary and alternative medicine 87
Replace R. F. Whelan with:
R. F. Whelan Australia
B Folkow Sweden
Robert Lowe United Kingdom
JT Shepherd United States
Gerald Glick United States
F. J. Haddy United States
Alan S. Hollister United States
Francis J. Haddy United States
Jiro Nakano United States
F Lhoste France
John W. Eckstein relative to R. F. Whelan Australia R. F. Whelan's profile →
Citations per field
00.5×
R. F. Whelan · 1×
Citations per year

Countries citing papers authored by John W. Eckstein

Since Specialization
Citations

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

Fields of papers citing papers by John W. Eckstein

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by John W. Eckstein. 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 John W. Eckstein. The network helps show where John W. Eckstein may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 197144
2 196838
3 196821
4 196727
5 19669
6 196641
7 196530
8 196517
9 19644
10 196410
11 196320
12 196266
13 196223
14 196135
15 19604
16 195817
17 195723
18 195751
19 19578
20 195714

About John W. Eckstein

John W. Eckstein is a scholar working on Small Animals, Cardiology and Cardiovascular Medicine, Animal Science and Zoology, Anesthesiology and Pain Medicine and Physiology, having authored 58 papers that have together received 1.4k indexed citations. Recurring topics across this work include Heart Rate Variability and Autonomic Control (17 papers), Veterinary Pharmacology and Anesthesia (13 papers), Pharmacological Effects and Assays (8 papers), Nitric Oxide and Endothelin Effects (7 papers), Pain Mechanisms and Treatments (5 papers), Hemodynamic Monitoring and Therapy (5 papers), Eicosanoids and Hypertension Pharmacology (4 papers) and Renal function and acid-base balance (4 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (594 citations), Endocrine and Autonomic Systems (111 citations), Physiology (318 citations), Anesthesiology and Pain Medicine (62 citations) and Complementary and alternative medicine (87 citations). John W. Eckstein has collaborated with scholars based in United States, Mexico and South Korea. Frequent co-authors include François M. Abboud, William K. Hamilton, J. Edwin Wood, Phillip G. Schmid, Donald D. Heistad, Ben G. Zimmerman, Michael G. Wendling, Ashley Horsley, William E. Connor and Eugene Evonuk. Their work appears in journals such as Journal of Clinical Investigation, American Journal of Physiology-Legacy Content, Circulation Research, Journal of Applied Physiology and Journal of Pharmacology and Experimental Therapeutics.

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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