Milos Pjanic

2.5k total citations
20 papers, 665 citations indexed

About

Milos Pjanic is a scholar working on Molecular Biology, Genetics and Cancer Research. According to data from OpenAlex, Milos Pjanic has authored 20 papers receiving a total of 665 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Molecular Biology, 9 papers in Genetics and 7 papers in Cancer Research. Recurrent topics in Milos Pjanic's work include RNA modifications and cancer (9 papers), Genetic Associations and Epidemiology (6 papers) and Cancer-related molecular mechanisms research (6 papers). Milos Pjanic is often cited by papers focused on RNA modifications and cancer (9 papers), Genetic Associations and Epidemiology (6 papers) and Cancer-related molecular mechanisms research (6 papers). Milos Pjanic collaborates with scholars based in United States, Sweden and Switzerland. Milos Pjanic's co-authors include Thomas Quertermous, Juyong Brian Kim, Trieu Nguyen, Robert Wirka, Clint L. Miller, Quanyi Zhao, Paul Cheng, Manabu Nagao, Nicolas Mermod and Boxiang Liu and has published in prestigious journals such as Circulation, Nature Communications and PLoS ONE.

In The Last Decade

Milos Pjanic

19 papers receiving 662 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Milos Pjanic United States 15 448 157 156 143 57 20 665
Lingyao Zeng Germany 11 309 0.7× 150 1.0× 122 0.8× 89 0.6× 103 1.8× 25 597
Armina A. Kazi United States 13 394 0.9× 192 1.2× 169 1.1× 87 0.6× 20 0.4× 22 708
Е. V. Tsyrlina Russia 12 391 0.9× 286 1.8× 144 0.9× 40 0.3× 21 0.4× 37 667
Renske de Jong Germany 8 174 0.4× 71 0.5× 81 0.5× 200 1.4× 29 0.5× 10 506
Weisi Lu China 14 563 1.3× 102 0.6× 56 0.4× 70 0.5× 12 0.2× 23 812
Zhimin Liu China 15 357 0.8× 213 1.4× 93 0.6× 100 0.7× 6 0.1× 32 741
Guillaume Velasco France 20 898 2.0× 227 1.4× 283 1.8× 122 0.9× 7 0.1× 27 1.2k
Monica M. Richert United States 8 390 0.9× 97 0.6× 193 1.2× 47 0.3× 8 0.1× 9 714
Bo Xia United States 12 244 0.5× 49 0.3× 31 0.2× 120 0.8× 25 0.4× 16 461

Countries citing papers authored by Milos Pjanic

Since Specialization
Citations

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

Fields of papers citing papers by Milos Pjanic

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Milos Pjanic

This figure shows the co-authorship network connecting the top 25 collaborators of Milos Pjanic. A scholar is included among the top collaborators of Milos Pjanic 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 Milos Pjanic. Milos Pjanic 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.
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
2.
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
3.
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
4.
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
5.
Cook, Naomi, Milos Pjanic, Abhiram Rao, et al.. (2019). CRISPR-Cas9-mediated knockout of SPRY2 in human hepatocytes leads to increased glucose uptake and lipid droplet accumulation. BMC Endocrine Disorders. 19(1). 115–115. 6 indexed citations
6.
Castillejo-López, Casimiro, Milos Pjanic, Susanne Hetty, et al.. (2019). Detailed Functional Characterization of a Waist-Hip Ratio Locus in 7p15.2 Defines an Enhancer Controlling Adipocyte Differentiation. iScience. 20. 42–59. 5 indexed citations
7.
Liu, Boxiang, Milos Pjanic, Ting Wang, et al.. (2018). Genetic Regulatory Mechanisms of Smooth Muscle Cells Map to Coronary Artery Disease Risk Loci. The American Journal of Human Genetics. 103(3). 377–388. 52 indexed citations
8.
Nanda, Vivek, Ting Wang, Milos Pjanic, et al.. (2018). Functional regulatory mechanism of smooth muscle cell-restricted LMOD1 coronary artery disease locus. PLoS Genetics. 14(11). e1007755–e1007755. 26 indexed citations
9.
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
10.
Wirka, Robert, Milos Pjanic, & Thomas Quertermous. (2018). Advances in Transcriptomics. Circulation Research. 122(9). 1200–1220. 26 indexed citations
11.
Kim, Juyong Brian, Milos Pjanic, Trieu Nguyen, et al.. (2017). TCF21 and the environmental sensor aryl-hydrocarbon receptor cooperate to activate a pro-inflammatory gene expression program in coronary artery smooth muscle cells. PLoS Genetics. 13(5). e1006750–e1006750. 51 indexed citations
12.
Pjanic, Milos. (2017). The role of polycarbonate monomer bisphenol-A in insulin resistance. PeerJ. 5. e3809–e3809. 41 indexed citations
13.
Nanda, Vivek, Ting Wang, Dharini Iyer, et al.. (2017). Abstract 21021: Functional Regulatory Mechanism of Smooth Muscle Cell-Restricted LMOD1 Coronary Artery Disease Locus. Circulation. 136(suppl_1). 1 indexed citations
14.
Miller, Clint L., Milos Pjanic, Ting Wang, et al.. (2016). Integrative functional genomics identifies regulatory mechanisms at coronary artery disease loci. Nature Communications. 7(1). 12092–12092. 83 indexed citations
15.
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
16.
Sazonova, Olga V., Yuqi Zhao, Sylvia Nürnberg, et al.. (2015). Characterization of TCF21 Downstream Target Regions Identifies a Transcriptional Network Linking Multiple Independent Coronary Artery Disease Loci. PLoS Genetics. 11(5). e1005202–e1005202. 34 indexed citations
17.
18.
Harraghy, Niamh, et al.. (2013). Molecular Characterization of a Human Matrix Attachment Region Epigenetic Regulator. PLoS ONE. 8(11). e79262–e79262. 30 indexed citations
19.
Pjanic, Milos, Christoph D. Schmid, Giovanna Ambrosini, et al.. (2013). Nuclear Factor I genomic binding associates with chromatin boundaries. BMC Genomics. 14(1). 99–99. 24 indexed citations
20.
Pjanic, Milos, Christoph Schmid, Giovanna Ambrosini, et al.. (2011). Nuclear factor I revealed as family of promoter binding transcription activators. BMC Genomics. 12(1). 181–181. 47 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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