Robert Roberts

2.1k total citations
31 papers, 1.2k citations indexed

About

Robert Roberts is a scholar working on Genetics, Molecular Biology and Surgery. According to data from OpenAlex, Robert Roberts has authored 31 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Genetics, 13 papers in Molecular Biology and 12 papers in Surgery. Recurrent topics in Robert Roberts's work include Genetic Associations and Epidemiology (19 papers), Lipoproteins and Cardiovascular Health (10 papers) and Cardiovascular Function and Risk Factors (4 papers). Robert Roberts is often cited by papers focused on Genetic Associations and Epidemiology (19 papers), Lipoproteins and Cardiovascular Health (10 papers) and Cardiovascular Function and Risk Factors (4 papers). Robert Roberts collaborates with scholars based in United States, Canada and China. Robert Roberts's co-authors include Alexandre F.R. Stewart, Themistocles L. Assimes, M. Benjamin Perryman, Craig M. Pratt, Mario S. Verani, Thomas D. Hedrick, Roger D. Bies, John J. Mahmarian, C. Thomas Caskey and Zuo‐Xiang He and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and Journal of Biological Chemistry.

In The Last Decade

Robert Roberts

31 papers receiving 1.1k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Robert Roberts United States 17 459 421 282 266 250 31 1.2k
Xinkai Qu China 22 639 1.4× 615 1.5× 111 0.4× 310 1.2× 419 1.7× 53 1.3k
Naohito Yamasaki Japan 26 963 2.1× 1.3k 3.2× 170 0.6× 108 0.4× 346 1.4× 100 2.2k
Ichiro Hamanaka Japan 18 496 1.1× 577 1.4× 42 0.1× 87 0.3× 242 1.0× 26 1.1k
Lahouaria Hadri United States 26 997 2.2× 952 2.3× 241 0.9× 36 0.1× 279 1.1× 64 2.0k
L F Brass United States 7 287 0.6× 203 0.5× 113 0.4× 131 0.5× 225 0.9× 11 1.3k
Raffaella Lombardi United States 25 837 1.8× 1.7k 3.9× 126 0.4× 108 0.4× 153 0.6× 64 2.3k
Haruhito Harada Japan 19 641 1.4× 493 1.2× 150 0.5× 84 0.3× 88 0.4× 46 1.4k
Mark J. Cooper Australia 18 446 1.0× 834 2.0× 71 0.3× 69 0.3× 179 0.7× 37 1.6k
Reinhard Pregla Germany 18 471 1.0× 433 1.0× 408 1.4× 27 0.1× 140 0.6× 30 1.2k
Thomas Nührenberg Germany 20 492 1.1× 396 0.9× 63 0.2× 76 0.3× 308 1.2× 57 1.2k

Countries citing papers authored by Robert Roberts

Since Specialization
Citations

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

Fields of papers citing papers by Robert Roberts

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Robert Roberts

This figure shows the co-authorship network connecting the top 25 collaborators of Robert Roberts. A scholar is included among the top collaborators of Robert Roberts based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Robert Roberts. Robert Roberts is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Roberts, Robert, et al.. (2020). A Journey through Genetic Architecture and Predisposition of Coronary Artery Disease. Current Genomics. 21(5). 382–398. 6 indexed citations
2.
Roberts, Robert, et al.. (2019). Prediction and management of CAD risk based on genetic stratification. Trends in Cardiovascular Medicine. 30(6). 328–334. 15 indexed citations
3.
Roberts, Robert. (2018). Genetics in the prevention and management of coronary artery disease. Current Opinion in Cardiology. 33(3). 257–268. 2 indexed citations
4.
Roberts, Robert, et al.. (2018). Genetic stratification for primary prevention of coronary artery disease. Current Opinion in Cardiology. 33(5). 529–534. 3 indexed citations
5.
Roberts, Robert. (2017). A Breakthrough in Genetics and its Relevance to Prevention of Coronary Artery Disease in LMIC. Global Heart. 12(3). 247–247. 4 indexed citations
6.
Assimes, Themistocles L. & Robert Roberts. (2016). Genetics: Implications for Prevention and Management of Coronary Artery Disease. Journal of the American College of Cardiology. 68(25). 2797–2818. 81 indexed citations
7.
Roberts, Robert. (2014). Genetics of Coronary Artery Disease: An Update. Methodist DeBakey Cardiovascular Journal. 10(1). 7–7. 32 indexed citations
8.
Dandona, Sonny & Robert Roberts. (2012). Personalized Cardiovascular Medicine: Status in 2012. Canadian Journal of Cardiology. 28(6). 693–699. 6 indexed citations
9.
Roberts, Robert & Alexandre F.R. Stewart. (2012). The genetics of coronary artery disease. Current Opinion in Cardiology. 27(3). 221–227. 28 indexed citations
10.
Roberts, Robert & Alexandre F.R. Stewart. (2012). Genetics of Coronary Artery Disease in the 21st Century. Clinical Cardiology. 35(9). 536–540. 23 indexed citations
11.
Roberts, Robert & Alexandre F.R. Stewart. (2011). 9p21 and the Genetic Revolution for Coronary Artery Disease. Clinical Chemistry. 58(1). 104–112. 39 indexed citations
12.
Dandona, Sonny, Alexandre F.R. Stewart, Li Chen, et al.. (2010). Gene Dosage of the Common Variant 9p21 Predicts Severity of Coronary Artery Disease. Journal of the American College of Cardiology. 56(6). 479–486. 108 indexed citations
13.
Roberts, Robert, George A. Wells, Alexandre F.R. Stewart, Sonny Dandona, & Li Chen. (2010). The Genome-Wide Association Study—A New Era for Common Polygenic Disorders. Journal of Cardiovascular Translational Research. 3(3). 173–182. 21 indexed citations
14.
Rafiq, Sajjad, Sonia S. Anand, & Robert Roberts. (2010). Genome-Wide Association Studies of Hypertension: Have They Been Fruitful?. Journal of Cardiovascular Translational Research. 3(3). 189–196. 36 indexed citations
15.
Roberts, Robert & Clifford J. Steer. (2010). Disease Genes and Gene Regulation by microRNAs. Journal of Cardiovascular Translational Research. 3(3). 169–172. 5 indexed citations
16.
Superko, H. Robert, Robert Roberts, Brenda Garrett, Lakshmana Pendyala, & Spencer B. King. (2010). Family Coronary Heart Disease: A Call to Action. Clinical Cardiology. 33(12). E1–6. 3 indexed citations
17.
Roberts, Robert. (2008). The human genome and prospects for management of cardiovascular disease. Canadian Journal of Cardiology. 24. 11C–14C. 1 indexed citations
18.
Bies, Roger D., et al.. (1992). Human and murine dystrophin mRNA transcripts are differentially expressed during skeletal muscle, heart, and brain development. Nucleic Acids Research. 20(7). 1725–1731. 140 indexed citations
19.
Tony, S., et al.. (1991). Serial Alu sequence transposition interrupting a human B creatine kinase pseudogene. Genomics. 10(2). 390–399. 9 indexed citations
20.
Sartori, Michele, et al.. (1987). Tissue interactions and measurement of ablation rates with ultraviolet and visible lasers in canine and human arteries. Lasers in Surgery and Medicine. 7(4). 300–306. 19 indexed citations

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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