RM Berne

1.9k citations
28 papers · 1.5k · h-index 18

Impact in

Papers in

RM Berne

28 papers receiving 1.3k citations

Peers

RM Berne
Comparison fields: 5 of 93
  • Physiology 428
  • Cardiology and Cardiovascular Medicine 407
  • Endocrine and Autonomic Systems 96
  • Pathology and Forensic Medicine 244
  • Radiology, Nuclear Medicine and Imaging 279
Replace H. V. Sparks with:
H. V. Sparks United States
Heinz‐Gerd Zimmer Germany
Mark W. Gorman United States
W. S. Spielman United States
M. Steinhausen Germany
Richard A. Fenton United States
P. Darwin Bell United States
Robert D. Lasley United States
Richard R. Curnish United States
R. Rubio Brazil
RM Berne relative to H. V. Sparks United States H. V. Sparks's profile →
Citations per field
00.5×2.6×
H. V. Sparks · 1×
Citations per year

Countries citing papers authored by RM Berne

Since Specialization
Citations

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

Fields of papers citing papers by RM Berne

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 20 scholars most cited alongside RM Berne, 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 RM Berne Line = papers co-authored together RM Berne links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 28 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1969213
2 1972153
3 1975144
4 1973143
5 1975140
6 197696
7 197672
8 197264
9 198848
10 198647
11 197244
12 196642
13 198040
14 198030
15 197928
16 197523
17 197518
18 196717
19 196117
20 197315

About RM Berne

RM Berne is a scholar working on Radiology, Nuclear Medicine and Imaging, Molecular Biology, Cardiology and Cardiovascular Medicine, Physiology and Pathology and Forensic Medicine, having authored 28 papers that have together received 1.5k indexed citations. Recurring topics across this work include Adenosine and Purinergic Signaling (8 papers), Advanced MRI Techniques and Applications (8 papers), Cardiac Imaging and Diagnostics (7 papers), Cardiac Ischemia and Reperfusion (6 papers), Cardiovascular Function and Risk Factors (3 papers), Metabolomics and Mass Spectrometry Studies (2 papers), Transplantation: Methods and Outcomes (2 papers) and Cardiac electrophysiology and arrhythmias (2 papers). The work is most often cited by research in Physiology (428 citations), Cardiology and Cardiovascular Medicine (407 citations), Endocrine and Autonomic Systems (96 citations), Pathology and Forensic Medicine (244 citations) and Radiology, Nuclear Medicine and Imaging (279 citations). RM Berne has collaborated with scholars based in United States. Frequent co-authors include Rafael Rubio, Makoto Katori, Jürgen Schrader, R. Rubio, Mentzer Rm, Robert M. Mentzer, Robert D. Lasley, Stephen Ely, N. Sperelakis and David R. Harder. Their work appears in journals such as American Journal of Physiology-Legacy Content, American Journal of Physiology-Heart and Circulatory Physiology, Experimental Biology and Medicine, Journal of Pharmacology and Experimental Therapeutics and Cardiovascular Research.

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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