Samuel E. George

1.8k citations
35 papers · 1.5k indexed · h-index 20

Samuel E. George

34 papers receiving 1.4k citations

Peers

Samuel E. George
Comparison fields: 5 of 104
  • Physiology 381
  • Biochemistry 106
  • Cardiology and Cardiovascular Medicine 329
  • Hepatology 96
  • Molecular Biology 818
Replace Tommy A. Brock with:
Tommy A. Brock United States
M. Lenfant France
M. Koji Owada Japan
Jianjian Shi United States
R P Bolender United States
Gisbert Weckbecker Switzerland
Lucilla Luzi Italy
Yuzo Ichimori Japan
Christine Labeur Belgium
Sukmook Lee South Korea
Samuel E. George relative to Tommy A. Brock United States Tommy A. Brock's profile →
Citations per field
00.5×1.5×2.1×
Tommy A. Brock · 1×
Citations per year

Countries citing papers authored by Samuel E. George

Since Specialization
Citations

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

Fields of papers citing papers by Samuel E. George

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20220
2 200241
3 200114
4 2000116
5
Adenovirus-mediated gene transfer of nitric oxide synthase reduces inflammation and intimal hyperplasia in venous bypass grafts
199910
6 19996
7 199815
8 199860
9 199869
10 199825
11 1998305
12 199757
13 19951
14 199561
15 199421
16 19946
17 19929
18 199057
19 199040
20 19888

About Samuel E. George

Samuel E. George is a scholar working on Physiology, Cardiology and Cardiovascular Medicine, Immunology and Allergy, Molecular Biology and Internal Medicine, having authored 35 papers that have together received 1.5k indexed citations. Recurring topics across this work include Nitric Oxide and Endothelin Effects (10 papers), Protein Kinase Regulation and GTPase Signaling (5 papers), Cardiomyopathy and Myosin Studies (5 papers), Virus-based gene therapy research (4 papers), Signaling Pathways in Disease (4 papers), Cardiovascular, Neuropeptides, and Oxidative Stress Research (3 papers), RNA Interference and Gene Delivery (2 papers) and CRISPR and Genetic Engineering (2 papers). The work is most often cited by research in Physiology (381 citations), Biochemistry (106 citations), Cardiology and Cardiovascular Medicine (329 citations), Hepatology (96 citations) and Molecular Biology (818 citations). Samuel E. George has collaborated with scholars based in United States, United Kingdom and Austria. Frequent co-authors include Keith M. Channon, HuSheng Qian, Michael A. Blazing, Geetha A. Shetty, Anthony R. Means, Valentina Neplioueva, P. Charles Lin, Peter C. Maisonpierre, Laura P. Hale and Ann Acheson. Their work appears in journals such as Journal of Biological Chemistry, Circulation, Circulation Research, Journal of Cardiovascular Pharmacology and Biochemistry.

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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