Dan E. Arking

39.8k total citations · 6 hit papers
124 papers, 11.2k citations indexed

About

Dan E. Arking is a scholar working on Molecular Biology, Genetics and Cardiology and Cardiovascular Medicine. According to data from OpenAlex, Dan E. Arking has authored 124 papers receiving a total of 11.2k indexed citations (citations by other indexed papers that have themselves been cited), including 69 papers in Molecular Biology, 40 papers in Genetics and 39 papers in Cardiology and Cardiovascular Medicine. Recurrent topics in Dan E. Arking's work include Cardiac electrophysiology and arrhythmias (25 papers), Genetic Associations and Epidemiology (22 papers) and Mitochondrial Function and Pathology (20 papers). Dan E. Arking is often cited by papers focused on Cardiac electrophysiology and arrhythmias (25 papers), Genetic Associations and Epidemiology (22 papers) and Mitochondrial Function and Pathology (20 papers). Dan E. Arking collaborates with scholars based in United States, Germany and Netherlands. Dan E. Arking's co-authors include Lauren A. Weiss, Joshua T. Mendell, Erik A. Wentzel, Tsung-Cheng Chang, Harry C. Dietz, Aravinda Chakravarti, Anirban Maitra, Oliver A. Kent, Michael E. Mullendore and Duonan Yu and has published in prestigious journals such as Nature, New England Journal of Medicine and Proceedings of the National Academy of Sciences.

In The Last Decade

Dan E. Arking

120 papers receiving 11.0k citations

Hit Papers

align trajectories sort by overperformance

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Transactivation of miR-34a by p53 Broadly Influences Gene Expression and Promotes Apoptosis

2007 1.6k citations Tsung-Cheng Chang, Erik A. Wentzel et al. Molecular Cell profile →
Association between Microdeletion and Microduplication at 16p11.2 and Autism

2008 1.1k citations Dan E. Arking, Aravinda Chakravarti et al. profile →
Widespread microRNA repression by Myc contributes to tumorigenesis

2007 1.1k citations Tsung-Cheng Chang, Erik A. Wentzel et al. profile →
Dysregulation of TGF-β activation contributes to pathogenesis in Marfan syndrome

2003 1.0k citations Dan E. Arking et al. profile →
SFARI Gene 2.0: a community-driven knowledgebase for the autism spectrum disorders (ASDs)

2013 495 citations Dan E. Arking et al. profile →
Thinking outside the nucleus: Mitochondrial DNA copy number in health and disease

2020 236 citations Christina A. Castellani, Ryan J. Longchamps et al. profile →

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Dan E. Arking	6.0k	3.9k	2.7k	1.7k	1.2k	124	11.2k
Eitan Friedman	6.1k 1.0×	5.1k 1.3×	2.4k 0.9×	772 0.5×	564 0.5×	484	17.1k
André Reis	7.7k 1.3×	4.4k 1.1×	964 0.4×	400 0.2×	470 0.4×	320	13.6k
Thomas Meitinger	11.2k 1.9×	5.5k 1.4×	978 0.4×	341 0.2×	1.2k 1.0×	319	19.1k
Stanislas Lyonnet	8.8k 1.5×	4.6k 1.2×	1.6k 0.6×	543 0.3×	331 0.3×	314	16.7k
Aarno Palotie	5.7k 0.9×	4.1k 1.0×	1.6k 0.6×	271 0.2×	876 0.7×	334	14.9k
Catherine Godson	5.1k 0.9×	809 0.2×	1.4k 0.5×	308 0.2×	335 0.3×	155	11.2k
Suzanne M. Leal	5.0k 0.8×	4.7k 1.2×	808 0.3×	613 0.4×	613 0.5×	211	10.8k
Tim M. Strom	8.0k 1.3×	6.0k 1.5×	577 0.2×	313 0.2×	518 0.4×	216	16.6k
Alan H. Beggs	11.2k 1.9×	3.3k 0.8×	623 0.2×	287 0.2×	5.3k 4.5×	274	16.5k
Peter Lommer Kristensen	2.9k 0.5×	713 0.2×	2.4k 0.9×	348 0.2×	1.0k 0.9×	114	11.5k

Countries citing papers authored by Dan E. Arking

Since Specialization

Citations

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

Fields of papers citing papers by Dan E. Arking

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Dan E. Arking

This figure shows the co-authorship network connecting the top 25 collaborators of Dan E. Arking. A scholar is included among the top collaborators of Dan E. Arking 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 Dan E. Arking. Dan E. Arking is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Goldenberg, Ilan, Arwa Younis, Anita Y. Chen, et al.. (2024). Risk Prediction in Male Adolescents With Congenital Long QT Syndrome: Implications for Sex‐Specific Risk Stratification in Potassium Channel‐Mediated Long QT Syndrome. Journal of the American Heart Association. 13(3). e028902–e028902. 2 indexed citations

Duong, ThuyVy, Thomas R. Austin, Jennifer A. Brody, et al.. (2024). Circulating Blood Plasma Profiling Reveals Proteomic Signature and a Causal Role for SVEP1 in Sudden Cardiac Death. Circulation Genomic and Precision Medicine. 17(5). e004494–e004494.

Lake, Nicole J., Kaiyue Ma, Wei Liu, et al.. (2024). Quantifying constraint in the human mitochondrial genome. Nature. 635(8038). 390–397. 18 indexed citations

Hong, Yun Soo, Sergiu Paşca, Daniela Puiu, et al.. (2024). Mitochondrial heteroplasmy improves risk prediction for myeloid neoplasms. Nature Communications. 15(1). 10133–10133. 3 indexed citations

Hong, Yun Soo, Stephanie L. Battle, Daniela Puiu, et al.. (2023). Long-Term Air Pollution Exposure and Mitochondrial DNA Copy Number: An Analysis of UK Biobank Data. Environmental Health Perspectives. 131(5). 57703–57703. 4 indexed citations

Battle, Stephanie L., Daniela Puiu, Joost Verlouw, et al.. (2022). A bioinformatics pipeline for estimating mitochondrial DNA copy number and heteroplasmy levels from whole genome sequencing data. NAR Genomics and Bioinformatics. 4(2). lqac034–lqac034. 22 indexed citations

Pillalamarri, Vamsee, Stephanie Yang, John Lane, et al.. (2022). Whole-exome sequencing in 415,422 individuals identifies rare variants associated with mitochondrial DNA copy number. Human Genetics and Genomics Advances. 4(1). 100147–100147. 8 indexed citations

Goldenberg, Ilan, J. Martijn Bos, Anita Y. Chen, et al.. (2021). Risk Prediction in Women With Congenital Long QT Syndrome. Journal of the American Heart Association. 10(14). e021088–e021088. 8 indexed citations

Duong, ThuyVy, Rebecca Rose, Adriana Blazeski, et al.. (2021). Development and optimization of an in vivo electrocardiogram recording method and analysis program for adult zebrafish. Disease Models & Mechanisms. 14(8). 4 indexed citations

10.

Yang, Stephanie, Christina A. Castellani, Ryan J. Longchamps, et al.. (2021). Blood-derived mitochondrial DNA copy number is associated with gene expression across multiple tissues and is predictive for incident neurodegenerative disease. Genome Research. 31(3). 349–358. 57 indexed citations

11.

Nandakumar, Priyanka, Dongwon Lee, Thomas J. Hoffmann, et al.. (2020). Analysis of putative cis-regulatory elements regulating blood pressure variation. Human Molecular Genetics. 29(11). 1922–1932. 9 indexed citations

12.

Younis, Arwa, Mehmet K. Aktaş, Spencer Rosero, et al.. (2020). Outcome by Sex in Patients With Long QT Syndrome With an Implantable Cardioverter Defibrillator. Journal of the American Heart Association. 9(19). e016398–e016398. 5 indexed citations

13.

Wang, Tony Y., Dan E. Arking, Joseph J. Maleszewski, et al.. (2019). Human cardiac myosin light chain 4 (MYL4) mosaic expression patterns vary by sex. Scientific Reports. 9(1). 12681–12681. 12 indexed citations

14.

Vincentz, Joshua W., Beth A. Firulli, Dan E. Arking, et al.. (2019). Variation in a Left Ventricle–Specific Hand1 Enhancer Impairs GATA Transcription Factor Binding and Disrupts Conduction System Development and Function. PMC. 2 indexed citations

15.

McCall, Matthew N., Min‐Sik Kim, Arun H. Patil, et al.. (2017). Toward the human cellular microRNAome. Genome Research. 27(10). 1769–1781. 112 indexed citations

16.

Ashar, Foram N., Yiyi Zhang, Anna Moes, et al.. (2014). Abstract 19318: Mitochondrial DNA Copy Number as a Predictor of Cardiovascular Disease. Circulation. 130. 1 indexed citations

17.

Tereshchenko, Larisa G., Elsayed Z. Soliman, Nona Sotoodehnia, et al.. (2012). Abstract 12311: Increased Repolarization Lability Predicts Sudden Cardiac Death in Asymptomatic Adults. Circulation. 126. 2 indexed citations

18.

Tomás, Marta, Carlo Napolitano, Raffaella Bloise, et al.. (2010). Polymorphisms in the NOS1APGene Modulate QT Interval Duration and Risk of Arrhythmias in the Long QT Syndrome. Journal of the American College of Cardiology. 55(24). 2745–2752. 118 indexed citations

19.

Chang, Tsung-Cheng, Erik A. Wentzel, Oliver A. Kent, et al.. (2007). Transactivation of miR-34a by p53 Broadly Influences Gene Expression and Promotes Apoptosis. Molecular Cell. 26(5). 745–752. 1627 indexed citations breakdown →

20.

Calhoun, Eric S., Tomáš Hucl, Eike Gallmeier, et al.. (2006). Identifying Allelic Loss and Homozygous Deletions in Pancreatic Cancer without Matched Normals Using High-Density Single-Nucleotide Polymorphism Arrays. Cancer Research. 66(16). 7920–7928. 66 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.

Explore authors with similar magnitude of impact