Jay G. Shake

29 papers receiving 1.3k citations

Jay G. Shake's Hit Papers

Mesenchymal stem cell implantation in a swine myocardial infarct model: engraftment and functional effects 2002 · 699 citations
6990+8+16Years since publication200400600

Peers

Jay G. Shake
Comparison fields: 5 of 77
  • Genetics 495
  • Biomaterials 244
  • Surgery 550
  • Developmental Neuroscience 45
  • Cardiology and Cardiovascular Medicine 209
Replace Ray Chu‐Jeng Chiu with:
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Jay G. Shake relative to Ray Chu‐Jeng Chiu Canada Ray Chu‐Jeng Chiu's profile →
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Citations per year

Countries citing papers authored by Jay G. Shake

Since Specialization
Citations

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

Fields of papers citing papers by Jay G. Shake

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 29 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Mesenchymal stem cell implantation in a swine myocardial infarct model: engraftment and functional effects
Hit paper breakdown →
2002699
2 2002161
3 200172
4 200261
5 200242
6 200442
7 201935
8 200425
9 201723
10 201523
11 200717
12
The St. Jude Medical cardiac valve prosthesis: long-term follow up of patients having double valve replacement.
200713
13 201812
14 200012
15 201911
16 201310
17 19939
18 20057
19 20177
20 20155

About Jay G. Shake

Jay G. Shake is a scholar working on Cardiology and Cardiovascular Medicine, Surgery, Emergency Medicine, Biomedical Engineering and Pathology and Forensic Medicine, having authored 29 papers that have together received 1.3k indexed citations. Recurring topics across this work include Mechanical Circulatory Support Devices (5 papers), Cardiac, Anesthesia and Surgical Outcomes (4 papers), Cardiac Ischemia and Reperfusion (4 papers), Atrial Fibrillation Management and Outcomes (4 papers), Hospital Admissions and Outcomes (4 papers), Patient Safety and Medication Errors (3 papers), Venous Thromboembolism Diagnosis and Management (2 papers) and Cardiac pacing and defibrillation studies (2 papers). The work is most often cited by research in Genetics (495 citations), Biomaterials (244 citations), Surgery (550 citations), Developmental Neuroscience (45 citations) and Cardiology and Cardiovascular Medicine (209 citations). Jay G. Shake has collaborated with scholars based in United States, Germany and Canada. Frequent co-authors include William A. Baumgartner, Janice Redmond, Mark F. Pittenger, Jennifer Meyers, Bradley J. Martin, Peter J. Gruber, Vincent L. Gott, David J. Caparrelli, Duke E. Cameron and Diane Alejo. Their work appears in journals such as The Annals of Thoracic Surgery, American Journal of Physiology-Heart and Circulatory Physiology, The American Journal of Surgery, The Journal of Heart and Lung Transplantation and Journal of Thoracic and Cardiovascular Surgery.

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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