E Sublett

686 citations
14 papers · 553 · h-index 12

Impact in

Papers in

E Sublett

14 papers receiving 540 citations

Peers

E Sublett
Comparison fields: 5 of 54
  • Cardiology and Cardiovascular Medicine 372
  • Radiology, Nuclear Medicine and Imaging 366
  • Pathology and Forensic Medicine 139
  • Emergency Medicine 49
  • Biophysics 27
Replace Shao T. Wu with:
Shao T. Wu United States
Franklin C. Clayton United States
Takahiro Yabe Japan
Karin Przyklenk United States
Roger B. Rehr United States
H. G. Wolpers Germany
Joseph I. Shapiro United States
M. Mauser Germany
Tommy Tillery United States
Bretschneider Hj Germany
E Sublett relative to Shao T. Wu United States Shao T. Wu's profile →
Citations per field
00.5×5.4×
Shao T. Wu · 1×
Citations per year

Countries citing papers authored by E Sublett

Since Specialization
Citations

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

Fields of papers citing papers by E Sublett

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 22 scholars most cited alongside E Sublett, 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 E Sublett Line = papers co-authored together E Sublett links everyone, so they are left out of the graph.

All Works

14 of 14 papers shown
#Work
1 1986118
2 198979
3 198963
4 198559
5 198948
6 199146
7 198937
8 198628
9 198821
10 198917
11 198614
12 198612
13
Coronary flow during exercise after selective α1- and α2-adrenergic blockade
198910
14 19861

About E Sublett

E Sublett is a scholar working on Cardiology and Cardiovascular Medicine, Radiology, Nuclear Medicine and Imaging, Electrical and Electronic Engineering, Biomedical Engineering and Spectroscopy, having authored 14 papers that have together received 553 indexed citations. Recurring topics across this work include Microfluidic and Bio-sensing Technologies (5 papers), Electrical and Bioimpedance Tomography (5 papers), Cardiac Imaging and Diagnostics (5 papers), Cardiovascular Effects of Exercise (4 papers), Advanced MRI Techniques and Applications (4 papers), Microfluidic and Capillary Electrophoresis Applications (4 papers), Advanced NMR Techniques and Applications (2 papers) and Heart Rate Variability and Autonomic Control (2 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (372 citations), Radiology, Nuclear Medicine and Imaging (366 citations), Pathology and Forensic Medicine (139 citations), Emergency Medicine (49 citations) and Biophysics (27 citations). E Sublett has collaborated with scholars based in United States and Poland. Frequent co-authors include David C. Homans, Robert J. Bache, X Z Dai, D D Laxson, R J Bache, Paul Lindstrom, Michael Garwood, Arthur H. L. From, K. Joseph Elsperger and Pierre‐Marie Robitaille. Their work appears in journals such as Circulation, American Journal of Physiology-Heart and Circulatory Physiology, Magnetic Resonance in Medicine, Circulation Research and Basic Research in Cardiology.

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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