Robert Wirka

2.5k total citations
27 papers, 1.0k citations indexed

About

Robert Wirka is a scholar working on Molecular Biology, Cancer Research and Cardiology and Cardiovascular Medicine. According to data from OpenAlex, Robert Wirka has authored 27 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Molecular Biology, 6 papers in Cancer Research and 4 papers in Cardiology and Cardiovascular Medicine. Recurrent topics in Robert Wirka's work include RNA modifications and cancer (5 papers), Single-cell and spatial transcriptomics (4 papers) and Congenital heart defects research (4 papers). Robert Wirka is often cited by papers focused on RNA modifications and cancer (5 papers), Single-cell and spatial transcriptomics (4 papers) and Congenital heart defects research (4 papers). Robert Wirka collaborates with scholars based in United States, Sweden and Finland. Robert Wirka's co-authors include Thomas Quertermous, Paul Cheng, Milos Pjanic, Juyong Brian Kim, Trieu Nguyen, Quanyi Zhao, Manabu Nagao, Michael P. Fischbein, Albert J Pedroza and Vivek Nanda and has published in prestigious journals such as Circulation, SHILAP Revista de lepidopterología and Nature Nanotechnology.

In The Last Decade

Robert Wirka

27 papers receiving 1.0k 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 Wirka United States 14 592 292 223 174 168 27 1.0k
Nerea Méndez‐Barbero Spain 18 434 0.7× 206 0.7× 229 1.0× 182 1.0× 171 1.0× 37 958
Jan‐Marcus Daniel Germany 15 609 1.0× 172 0.6× 88 0.4× 191 1.1× 88 0.5× 31 992
Kemal M. Akat United States 16 678 1.1× 201 0.7× 94 0.4× 399 2.3× 170 1.0× 20 1.1k
Daniel DiRenzo United States 15 478 0.8× 474 1.6× 81 0.4× 121 0.7× 51 0.3× 38 1.0k
Rachana Sainger United States 16 352 0.6× 63 0.2× 226 1.0× 108 0.6× 311 1.9× 26 928
Richard A. Baylis United States 13 464 0.8× 562 1.9× 85 0.4× 118 0.7× 143 0.9× 22 1.0k
Lingqun Ye China 15 605 1.0× 265 0.9× 356 1.6× 422 2.4× 35 0.2× 30 1.2k
Wenmei Zhang China 15 254 0.4× 145 0.5× 191 0.9× 103 0.6× 86 0.5× 35 615
Mingming Fang China 21 711 1.2× 176 0.6× 85 0.4× 195 1.1× 51 0.3× 33 1.0k
Claire Josse Belgium 20 590 1.0× 120 0.4× 79 0.4× 438 2.5× 59 0.4× 39 1.0k

Countries citing papers authored by Robert Wirka

Since Specialization
Citations

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

Fields of papers citing papers by Robert Wirka

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Robert Wirka

This figure shows the co-authorship network connecting the top 25 collaborators of Robert Wirka. A scholar is included among the top collaborators of Robert Wirka 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 Wirka. Robert Wirka 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.
Narayanan, Sampath, Otto Bergman, Robert Wirka, et al.. (2024). Atheroma transcriptomics identifies ARNTL as a smooth muscle cell regulator and with clinical and genetic data improves risk stratification. European Heart Journal. 46(3). 308–322. 7 indexed citations
2.
Donley, Carrie L., et al.. (2023). Local tissue mechanics control cardiac pacemaker cell embryonic patterning. Life Science Alliance. 6(6). e202201799–e202201799. 3 indexed citations
3.
Sharma, Disha, Albert J Pedroza, Alex R. Dalal, et al.. (2023). Comprehensive Integration of Multiple Single-Cell Transcriptomic Data Sets Defines Distinct Cell Populations and Their Phenotypic Changes in Murine Atherosclerosis. Arteriosclerosis Thrombosis and Vascular Biology. 44(2). 391–408. 11 indexed citations
4.
Shi, Huitong, Trieu Nguyen, Quanyi Zhao, et al.. (2023). Discovery of Transacting Long Noncoding RNAs That Regulate Smooth Muscle Cell Phenotype. Circulation Research. 132(7). 795–811. 5 indexed citations
5.
Cheng, Paul, Robert Wirka, Juyong Brian Kim, et al.. (2022). Smad3 regulates smooth muscle cell fate and mediates adverse remodeling and calcification of the atherosclerotic plaque. Nature Cardiovascular Research. 1(4). 322–333. 26 indexed citations
6.
Wirka, Robert, April S. Caravaca, Vladimir S. Shavva, et al.. (2021). AMPA-Type Glutamate Receptors Associated With Vascular Smooth Muscle Cell Subpopulations in Atherosclerosis and Vascular Injury. Frontiers in Cardiovascular Medicine. 8. 655869–655869. 12 indexed citations
7.
Ouimet, Mireille, Sabrina Robichaud, Adil Rasheed, et al.. (2021). IMPAIRED AUTOPHAGY IN ARTERIAL FOAM CELL POPULATIONS DURING ATHEROSCLEROSIS. Canadian Journal of Cardiology. 37(10). S24–S24. 1 indexed citations
8.
Kim, Juyong Brian, Quanyi Zhao, Trieu Nguyen, et al.. (2020). Environment-Sensing Aryl Hydrocarbon Receptor Inhibits the Chondrogenic Fate of Modulated Smooth Muscle Cells in Atherosclerotic Lesions. Circulation. 142(6). 575–590. 63 indexed citations
9.
Flores, Alyssa M., Niloufar Hosseini-Nassab, Kai-Uwe Jarr, et al.. (2020). Pro-efferocytic nanoparticles are specifically taken up by lesional macrophages and prevent atherosclerosis. Nature Nanotechnology. 15(2). 154–161. 219 indexed citations
10.
Zhao, Quanyi, Michael Dacre, Trieu Nguyen, et al.. (2020). Molecular mechanisms of coronary disease revealed using quantitative trait loci for TCF21 binding, chromatin accessibility, and chromosomal looping. Genome biology. 21(1). 135–135. 13 indexed citations
11.
Suur, Bianca E, Jesper R. Gådin, Anastasiia Gainullina, et al.. (2020). Transcriptomic profiling of experimental arterial injury reveals new mechanisms and temporal dynamics in vascular healing response. SHILAP Revista de lepidopterología. 1. 13–27. 10 indexed citations
12.
Zhao, Quanyi, Robert Wirka, Trieu Nguyen, et al.. (2019). TCF21 and AP-1 interact through epigenetic modifications to regulate coronary artery disease gene expression. Genome Medicine. 11(1). 23–23. 37 indexed citations
13.
Nagao, Manabu, Qing Lyu, Quanyi Zhao, et al.. (2019). Coronary Disease-Associated Gene TCF21 Inhibits Smooth Muscle Cell Differentiation by Blocking the Myocardin-Serum Response Factor Pathway. Circulation Research. 126(4). 517–529. 62 indexed citations
14.
Iyer, Dharini, Quanyi Zhao, Robert Wirka, et al.. (2018). Coronary artery disease genes SMAD3 and TCF21 promote opposing interactive genetic programs that regulate smooth muscle cell differentiation and disease risk. PLoS Genetics. 14(10). e1007681–e1007681. 40 indexed citations
15.
Xu, Bing, Ying Fu, Yan Liu, et al.. (2017). The ESCRT-III pathway facilitates cardiomyocyte release of cBIN1-containing microparticles. PLoS Biology. 15(8). e2002354–e2002354. 23 indexed citations
16.
Pjanic, Milos, Clint L. Miller, Robert Wirka, et al.. (2016). Genetics and Genomics of Coronary Artery Disease. Current Cardiology Reports. 18(10). 102–102. 23 indexed citations
17.
Wirka, Robert, et al.. (2012). Low prevalence of connexin-40 gene variants in atrial tissues and blood from atrial fibrillation subjects. BMC Medical Genetics. 13(1). 102–102. 6 indexed citations
18.
Chung, Mina K., John Barnard, Peter Hanna, et al.. (2011). Abstract 8221: Cis Regulation of Genes in Human Atria Near SNPs Associated with Atrial Fibrillation and PR Interval. Circulation. 124(suppl_21). 1 indexed citations
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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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