John F. Eberth

55 papers receiving 1.2k citations

Peers

John F. Eberth
Comparison fields: 5 of 99
  • Cardiology and Cardiovascular Medicine 413
  • Pulmonary and Respiratory Medicine 426
  • Biomedical Engineering 523
  • Surgery 423
  • Genetics 253
Replace Rudolph L. Gleason with:
Rudolph L. Gleason United States
Alexander Rachev United States
T. Christian Gasser Sweden
Andreas Jörg Schriefl Austria
S. Q. Liu United States
Tarek Shazly United States
Mustapha Zidi France
Martin A. Zulliger Switzerland
Paul N. Watton United Kingdom
Jonathan P. Vande Geest United States
John F. Eberth relative to Rudolph L. Gleason United States Rudolph L. Gleason's profile →
Citations per field
00.5×1.5×
Rudolph L. Gleason · 1×
Citations per year

Countries citing papers authored by John F. Eberth

Since Specialization
Citations

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

Fields of papers citing papers by John F. Eberth

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 58 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2008216
2 2009154
3 200968
4 200962
5 201043
6 201543
7 201441
8 201939
9 201537
10 201237
11 201830
12 200430
13 201427
14 201826
15 200922
16 201122
17 201021
18 201920
19 202020
20 201820

About John F. Eberth

John F. Eberth is a scholar working on Surgery, Biomedical Engineering, Cardiology and Cardiovascular Medicine, Pulmonary and Respiratory Medicine and Molecular Biology, having authored 58 papers that have together received 1.2k indexed citations. Recurring topics across this work include Elasticity and Material Modeling (19 papers), Coronary Interventions and Diagnostics (14 papers), Cardiovascular Health and Disease Prevention (12 papers), Aortic aneurysm repair treatments (11 papers), Electrospun Nanofibers in Biomedical Applications (7 papers), Connective tissue disorders research (7 papers), Aortic Disease and Treatment Approaches (7 papers) and Congenital heart defects research (6 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (413 citations), Pulmonary and Respiratory Medicine (426 citations), Biomedical Engineering (523 citations), Surgery (423 citations) and Genetics (253 citations). John F. Eberth has collaborated with scholars based in United States, Italy and Bulgaria. Frequent co-authors include Jay D. Humphrey, Rudolph L. Gleason, Wendy W. Dye, L. Cardamone, Andreas Valentin, J. D. Humphrey, Tarek Shazly, Susan M. Lessner, Vincent C. Gresham and Nataša Popović. Their work appears in journals such as Microscopy and Microanalysis, Journal of Biomechanics, Journal of the mechanical behavior of biomedical materials, Annals of Biomedical Engineering and Journal of Cardiovascular Development and Disease.

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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