Daniel Dvorkin

497 total citations
13 papers, 363 citations indexed

About

Daniel Dvorkin is a scholar working on Molecular Biology, Genetics and Physiology. According to data from OpenAlex, Daniel Dvorkin has authored 13 papers receiving a total of 363 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 6 papers in Genetics and 3 papers in Physiology. Recurrent topics in Daniel Dvorkin's work include Bioinformatics and Genomic Networks (4 papers), Genetic and phenotypic traits in livestock (3 papers) and Adipose Tissue and Metabolism (2 papers). Daniel Dvorkin is often cited by papers focused on Bioinformatics and Genomic Networks (4 papers), Genetic and phenotypic traits in livestock (3 papers) and Adipose Tissue and Metabolism (2 papers). Daniel Dvorkin collaborates with scholars based in United States, Australia and India. Daniel Dvorkin's co-authors include Yang Da, John Garbe, Li Ma, Hakizumwami Birali Runesha, Shengwen Wang, Yang Da, Li Ma, Karin Verspoor, Kevin Bretonnel Cohen and Lawrence Hunter and has published in prestigious journals such as Bioinformatics, The FASEB Journal and CHEST Journal.

In The Last Decade

Daniel Dvorkin

13 papers receiving 355 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Daniel Dvorkin United States 9 189 143 57 48 41 13 363
Cassandra E. Murcray United States 6 382 2.0× 225 1.6× 34 0.6× 28 0.6× 14 0.3× 7 531
А. В. Киселева Russia 11 69 0.4× 110 0.8× 14 0.2× 23 0.5× 62 1.5× 75 332
Sanghoon Moon South Korea 12 253 1.3× 242 1.7× 28 0.5× 61 1.3× 21 0.5× 33 519
Zilin Li United States 8 385 2.0× 263 1.8× 17 0.3× 35 0.7× 30 0.7× 19 589
Mahmoud Dahdouli United States 5 60 0.3× 145 1.0× 34 0.6× 22 0.5× 12 0.3× 6 246
Christine T. Ferrara United States 8 162 0.9× 209 1.5× 82 1.4× 28 0.6× 22 0.5× 8 404
YoSon Park United States 6 151 0.8× 301 2.1× 12 0.2× 33 0.7× 118 2.9× 12 442
Emily A. King United States 4 171 0.9× 241 1.7× 34 0.6× 25 0.5× 7 0.2× 6 417
Shoa L. Clarke United States 8 129 0.7× 164 1.1× 13 0.2× 26 0.5× 17 0.4× 18 383
Tana Wuren China 13 307 1.6× 157 1.1× 113 2.0× 100 2.1× 28 0.7× 47 544

Countries citing papers authored by Daniel Dvorkin

Since Specialization
Citations

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

Fields of papers citing papers by Daniel Dvorkin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Daniel Dvorkin

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

All Works

13 of 13 papers shown
1.
Esmaili, Saeed, Peter Langfelder, T. Grant Belgard, et al.. (2021). Core liver homeostatic co-expression networks are preserved but respond to perturbations in an organism- and disease-specific manner. Cell Systems. 12(5). 432–445.e7. 9 indexed citations
2.
Dvorkin, Daniel, et al.. (2021). Semi-Supervised Learning Using Hierarchical Mixture Models: Gene Essentiality Case Study. Mathematical and Computational Applications. 26(2). 40–40. 1 indexed citations
3.
Langmore, Susan E., Gintas P. Krisciunas, Heather Warner, et al.. (2020). Abnormalities of Aspiration and Swallowing Function in Survivors of Acute Respiratory Failure. Dysphagia. 36(5). 831–841. 12 indexed citations
4.
Moss, Marc, Sean White, Heather Warner, et al.. (2020). Development of an Accurate Bedside Swallowing Evaluation Decision Tree Algorithm for Detecting Aspiration in Acute Respiratory Failure Survivors. CHEST Journal. 158(5). 1923–1933. 20 indexed citations
5.
D’Alessandro, Angelo, Travis Nemkov, Kaiqi Sun, et al.. (2016). AltitudeOmics: Red Blood Cell Metabolic Adaptation to High Altitude Hypoxia. Journal of Proteome Research. 15(10). 3883–3895. 95 indexed citations
6.
Julian, Colleen G., Andrew W. Subudhi, Brent S. Pedersen, et al.. (2014). Epigenetic modification of gene expression during human acclimatization to hypobaric hypoxia (885.4). The FASEB Journal. 28(S1). 1 indexed citations
7.
Dvorkin, Daniel, Brian Biehs, & Katerina Kechris. (2013). A graphical model method for integrating multiple sources of genome-scale data. Statistical Applications in Genetics and Molecular Biology. 12(4). 469–87. 5 indexed citations
8.
Wang, Shengwen, Daniel Dvorkin, & Yang Da. (2012). SNPEVG: a graphical tool for GWAS graphing with mouse clicks. BMC Bioinformatics. 13(1). 319–319. 45 indexed citations
9.
Verspoor, Karin, Daniel Dvorkin, Kevin Bretonnel Cohen, & Lawrence Hunter. (2009). Ontology quality assurance through analysis of term transformations. Bioinformatics. 25(12). i77–i84. 32 indexed citations
10.
Ma, Li, Hakizumwami Birali Runesha, Daniel Dvorkin, John Garbe, & Yang Da. (2008). Parallel and serial computing tools for testing single-locus and epistatic SNP effects of quantitative traits in genome-wide association studies. BMC Bioinformatics. 9(1). 315–315. 87 indexed citations
11.
Ma, Li, Daniel Dvorkin, John Garbe, & Yang Da. (2007). Genome-wide analysis of single-locus and epistasis single-nucleotide polymorphism effects on anti-cyclic citrullinated peptide as a measure of rheumatoid arthritis. BMC Proceedings. 1(S1). S127–S127. 8 indexed citations
12.
Ma, Li, et al.. (2006). Detection of SNP epistasis effects of quantitative traits using an extended Kempthorne model. Physiological Genomics. 28(1). 46–52. 47 indexed citations
13.
Dvorkin, Daniel, Valerie A. Fadok, & Krzysztof J. Cios. (2005). SiMCAL 1 algorithm for analysis of gene expression data related to the phosphatidylserine receptor. Artificial Intelligence in Medicine. 35(1-2). 49–60. 1 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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Breakdown of academic impact, for papers by Cassandra E. Murcray Breakdown of academic impact, for papers by А. В. Киселева Breakdown of academic impact, for papers by Sanghoon Moon Breakdown of academic impact, for papers by Zilin Li Breakdown of academic impact, for papers by Mahmoud Dahdouli Breakdown of academic impact, for papers by Christine T. Ferrara Breakdown of academic impact, for papers by YoSon Park Breakdown of academic impact, for papers by Emily A. King Breakdown of academic impact, for papers by Shoa L. Clarke Breakdown of academic impact, for papers by Tana Wuren
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