Thomas G. Sharp

33 papers receiving 1.1k citations

Peers

Thomas G. Sharp
Comparison fields: 5 of 57
  • Epidemiology 405
  • Cardiology and Cardiovascular Medicine 261
  • Surgery 400
  • Pulmonary and Respiratory Medicine 290
  • Cognitive Neuroscience 122
Replace Doris J.W. Escher with:
Doris J.W. Escher United States
Daniel J. Goodman United States
C E Arentzen United States
Massimiliano Meineri Canada
Vincent A. Gaudiani United States
Steven R. Weinstein United States
Yasir Abu-Omar United Kingdom
Thomas Lavergne France
Marc Hein Germany
W. Pugsley United Kingdom
Thomas G. Sharp relative to Doris J.W. Escher United States Doris J.W. Escher's profile →
Citations per field
00.5×10×14.7×
Doris J.W. Escher · 1×
Citations per year

Countries citing papers authored by Thomas G. Sharp

Since Specialization
Citations

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

Fields of papers citing papers by Thomas G. Sharp

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Thomas G. Sharp. 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 Thomas G. Sharp. The network helps show where Thomas G. Sharp may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 34 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1996135
2 1995118
3
Surgical management of total anomalous pulmonary venous connection. Thirty-year trends.
1996108
4 2013104
5 199889
6 199670
7 199865
8 201261
9 199657
10 201248
11 199739
12
Anterior wall left ventricular aneurysm repair. A comparison of linear versus circular closure.
199237
13 199232
14
Dynamic changes of endothelin-1, nitric oxide, and cyclic GMP in patients with congenital heart disease.
199732
15 199827
16 199921
17 201119
18 201116
19 198416
20 201314

About Thomas G. Sharp

Thomas G. Sharp is a scholar working on Surgery, Cellular and Molecular Neuroscience, Electrical and Electronic Engineering, Cardiology and Cardiovascular Medicine and Cognitive Neuroscience, having authored 34 papers that have together received 1.2k indexed citations. Recurring topics across this work include Advanced Memory and Neural Computing (9 papers), Neural dynamics and brain function (8 papers), Cardiac Structural Anomalies and Repair (7 papers), Cardiac Valve Diseases and Treatments (7 papers), Congenital Heart Disease Studies (5 papers), Neuroscience and Neural Engineering (3 papers), Infective Endocarditis Diagnosis and Management (3 papers) and Photoreceptor and optogenetics research (3 papers). The work is most often cited by research in Epidemiology (405 citations), Cardiology and Cardiovascular Medicine (261 citations), Surgery (400 citations), Pulmonary and Respiratory Medicine (290 citations) and Cognitive Neuroscience (122 citations). Thomas G. Sharp has collaborated with scholars based in United States, United Kingdom and Japan. Frequent co-authors include Ko Bando, Mark W. Turrentine, John W. Brown, Kyung Sun, Yasuo Sekine, Steve Furber, Gregory J. Ensing, Francesco Galluppi, John W. Brown and Palaniswamy Vijay. Their work appears in journals such as The Annals of Thoracic Surgery, Journal of Thoracic and Cardiovascular Surgery, Clinical Science, CHEST Journal and Journal of Parallel and Distributed Computing.

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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