Ray Stefancsik

11.0k total citations · 1 hit paper
14 papers, 2.1k citations indexed

About

Ray Stefancsik is a scholar working on Molecular Biology, Genetics and Animal Science and Zoology. According to data from OpenAlex, Ray Stefancsik has authored 14 papers receiving a total of 2.1k indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Molecular Biology, 5 papers in Genetics and 3 papers in Animal Science and Zoology. Recurrent topics in Ray Stefancsik's work include Genomics and Phylogenetic Studies (5 papers), Virus-based gene therapy research (3 papers) and Biomedical Text Mining and Ontologies (3 papers). Ray Stefancsik is often cited by papers focused on Genomics and Phylogenetic Studies (5 papers), Virus-based gene therapy research (3 papers) and Biomedical Text Mining and Ontologies (3 papers). Ray Stefancsik collaborates with scholars based in United States, United Kingdom and Hungary. Ray Stefancsik's co-authors include Laura Ponting, Mingming Jia, Peter J. Campbell, Simon Forbes, Charlotte G. Cole, Harry Jubb, Sally Bamford, Harry Boutselakis, Elisabeth Dawson and Chai Yin Kok and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and PLoS ONE.

In The Last Decade

Ray Stefancsik

14 papers receiving 2.1k citations

Hit Papers

COSMIC: somatic cancer genetics at high-resolution 2016 2026 2019 2022 2016 400 800 1.2k
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.

  1. COSMIC: somatic cancer genetics at high-resolution
    2016 1.3k citations Simon Forbes, David Beare et al. Nucleic Acids Research profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ray Stefancsik United States 12 1.4k 578 438 324 226 14 2.1k
Tim Dexter United Kingdom 24 1.3k 1.0× 599 1.0× 411 0.9× 677 2.1× 151 0.7× 46 2.4k
Mandy Madiredjo Netherlands 8 2.4k 1.7× 533 0.9× 308 0.7× 1.2k 3.7× 320 1.4× 8 3.2k
Douglas J. Demetrick Canada 24 1.3k 0.9× 301 0.5× 428 1.0× 1.0k 3.1× 194 0.9× 66 2.3k
Ole Gjoerup United States 29 1.2k 0.9× 436 0.8× 242 0.6× 1.9k 5.8× 362 1.6× 67 3.1k
Beatrice A. Howard United Kingdom 21 1.2k 0.9× 251 0.4× 454 1.0× 740 2.3× 112 0.5× 41 1.9k
A. Kasprzyk United Kingdom 6 1.3k 1.0× 489 0.8× 400 0.9× 173 0.5× 129 0.6× 9 1.9k
Stefano Cairo France 25 1.4k 1.0× 535 0.9× 182 0.4× 435 1.3× 115 0.5× 76 2.1k
Eric Talevich United States 17 1.3k 1.0× 774 1.3× 347 0.8× 1.0k 3.2× 474 2.1× 21 2.8k
Mateusz Opyrchal United States 23 694 0.5× 272 0.5× 327 0.7× 1.0k 3.1× 328 1.5× 101 1.8k
Graham Steers United Kingdom 17 1.0k 0.8× 481 0.8× 149 0.3× 348 1.1× 126 0.6× 24 1.6k

Countries citing papers authored by Ray Stefancsik

Since Specialization
Citations

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

Fields of papers citing papers by Ray Stefancsik

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ray Stefancsik

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

All Works

14 of 14 papers shown
1.
Forbes, Simon, David Beare, Harry Boutselakis, et al.. (2016). COSMIC: somatic cancer genetics at high-resolution. Nucleic Acids Research. 45(D1). D777–D783. 1291 indexed citations breakdown →
2.
Forbes, Simon, David Beare, Nidhi Bindal, et al.. (2016). COSMIC: High‐Resolution Cancer Genetics Using the Catalogue of Somatic Mutations in Cancer. Current Protocols in Human Genetics. 91(1). 10.11.1–10.11.37. 111 indexed citations
3.
Cejuela, Juan Miguel, Peter McQuilton, Laura Ponting, et al.. (2014). tagtog: interactive and text-mining-assisted annotation of gene mentions in PLOS full-text articles. Database. 2014(0). bau033–bau033. 47 indexed citations
4.
Osumi-Sutherland, David, Steven J Marygold, Gillian Millburn, et al.. (2013). The Drosophila phenotype ontology. Journal of Biomedical Semantics. 4(1). 30–30. 16 indexed citations
5.
Pierre, Susan E. St., Laura Ponting, Ray Stefancsik, & Peter McQuilton. (2013). FlyBase 102—advanced approaches to interrogating FlyBase. Nucleic Acids Research. 42(D1). D780–D788. 241 indexed citations
6.
Tóth, Renáta, et al.. (2013). CpG Distribution and Methylation Pattern in Porcine Parvovirus. PLoS ONE. 8(12). e85986–e85986. 3 indexed citations
7.
Peterson, Aidan J., et al.. (2012). R-Smad Competition Controls Activin Receptor Output in Drosophila. PLoS ONE. 7(5). e36548–e36548. 31 indexed citations
8.
Rangarajan, Arun, Tim Schedl, Karen Yook, et al.. (2011). Toward an interactive article: integrating journals and biological databases. BMC Bioinformatics. 12(1). 175–175. 7 indexed citations
9.
Kaján, Győző L., Ray Stefancsik, Krisztina Ursu, Vilmos Palya, & Mária Benkő. (2010). The first complete genome sequence of a non-chicken aviadenovirus, proposed to be turkey adenovirus 1. Virus Research. 153(2). 226–233. 26 indexed citations
10.
Stefancsik, Ray & Satyapriya Sarkar. (2003). Relationship between the DNA Binding Domains of SMAD and NFI/CTF Transcription Factors Defines a New Superfamily of Genes. DNA sequence. 14(4). 233–239. 14 indexed citations
11.
Stefancsik, Ray, Jeffrey Randall, Chengjian Mao, & Satyapriya Sarkar. (2003). Structure and sequence of the human fast skeletal troponin T (TNNT3) gene: insight into the evolution of the gene and the origin of the developmentally regulated isoforms. Comparative and Functional Genomics. 4(6). 609–625. 18 indexed citations
12.
Sutherland, David J., et al.. (2003). Stepwise formation of a SMAD activity gradient during dorsal-ventral patterning of theDrosophilaembryo. Development. 130(23). 5705–5716. 65 indexed citations
13.
Stefancsik, Ray, Prakash Jha, & Satyapriya Sarkar. (1998). Identification and mutagenesis of a highly conserved domain in troponin T responsible for troponin I binding: Potential role for coiled coil interaction. Proceedings of the National Academy of Sciences. 95(3). 957–962. 55 indexed citations
14.
Zádori, Zoltán, Ray Stefancsik, Tibor A. Rauch, & J. Kisary. (1995). Analysis of the Complete Nucleotide Sequences of Goose and Muscovy Duck Pervoviruses Indicates Common Ancestral Origin with Adeno-Associated Virus 2. Virology. 212(2). 562–573. 158 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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