Peter Pelka

1.0k total citations
38 papers, 787 citations indexed

About

Peter Pelka is a scholar working on Molecular Biology, Genetics and Immunology. According to data from OpenAlex, Peter Pelka has authored 38 papers receiving a total of 787 indexed citations (citations by other indexed papers that have themselves been cited), including 31 papers in Molecular Biology, 26 papers in Genetics and 5 papers in Immunology. Recurrent topics in Peter Pelka's work include Virus-based gene therapy research (25 papers), Viral Infectious Diseases and Gene Expression in Insects (12 papers) and RNA Research and Splicing (10 papers). Peter Pelka is often cited by papers focused on Virus-based gene therapy research (25 papers), Viral Infectious Diseases and Gene Expression in Insects (12 papers) and RNA Research and Splicing (10 papers). Peter Pelka collaborates with scholars based in Canada, United Kingdom and United States. Peter Pelka's co-authors include Joe S. Mymryk, Jailal Ablack, Ahmed F. Yousef, Gregory J. Fonseca, Andrew S. Turnell, Richard Jung, Roger J.A. Grand, Peter Whyte, Megan Mendez and Joseph Torchia and has published in prestigious journals such as Nucleic Acids Research, Journal of Biological Chemistry and PLoS ONE.

In The Last Decade

Peter Pelka

37 papers receiving 774 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Peter Pelka Canada 18 594 480 141 140 66 38 787
Jonathan Diep United States 10 573 1.0× 303 0.6× 79 0.6× 153 1.1× 121 1.8× 15 869
Anne Keriel France 14 670 1.1× 271 0.6× 155 1.1× 67 0.5× 177 2.7× 28 991
A. A. A. M. Danen-van Oorschot Netherlands 7 351 0.6× 308 0.6× 52 0.4× 76 0.5× 49 0.7× 7 566
Chong-Yun Xiao Australia 7 744 1.3× 173 0.4× 96 0.7× 66 0.5× 74 1.1× 9 975
Jaydip Das Gupta United States 15 348 0.6× 158 0.3× 87 0.6× 332 2.4× 115 1.7× 23 774
Claire Guilbault Canada 13 411 0.7× 244 0.5× 117 0.8× 81 0.6× 175 2.7× 17 681
Panpan Hou China 13 488 0.8× 101 0.2× 85 0.6× 139 1.0× 116 1.8× 20 666
Monique Vink Netherlands 15 780 1.3× 313 0.7× 45 0.3× 132 0.9× 112 1.7× 29 1.1k
Manfred Wirth Germany 13 424 0.7× 169 0.4× 46 0.3× 86 0.6× 73 1.1× 22 624
S Bass United States 8 386 0.6× 191 0.4× 88 0.6× 121 0.9× 27 0.4× 11 739

Countries citing papers authored by Peter Pelka

Since Specialization
Citations

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

Fields of papers citing papers by Peter Pelka

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Peter Pelka

This figure shows the co-authorship network connecting the top 25 collaborators of Peter Pelka. A scholar is included among the top collaborators of Peter Pelka 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 Peter Pelka. Peter Pelka 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.
Shete, Varsha, et al.. (2024). HBO1/KAT7/MYST2 HAT complex regulates human adenovirus replicative cycle. Heliyon. 10(7). e28827–e28827. 3 indexed citations
2.
3.
Pelka, Peter, et al.. (2024). ARGLU1 enhances promoter-proximal pausing of RNA polymerase II and stimulates DNA damage repair. Nucleic Acids Research. 52(10). 5658–5675. 4 indexed citations
4.
Coombs, Kevin M., Pavel Kaspler, Mark Roufaiel, et al.. (2024). Nanomolar concentrations of the photodynamic compound TLD-1433 effectively inactivate numerous human pathogenic viruses. Heliyon. 10(11). e32140–e32140. 1 indexed citations
5.
Sullivan, Daniel, et al.. (2020). Clathrin mediated endocytosis is involved in the uptake of exogenous double-stranded RNA in the white mold phytopathogen Sclerotinia sclerotiorum. Scientific Reports. 10(1). 12773–12773. 54 indexed citations
6.
Costa, Rita, et al.. (2020). Characterization of Adenovirus 5 E1A Exon 1 Deletion Mutants in the Viral Replicative Cycle. Viruses. 12(2). 213–213. 7 indexed citations
7.
Mendez, Megan, et al.. (2019). Temporal dynamics of adenovirus 5 gene expression in normal human cells. PLoS ONE. 14(1). e0211192–e0211192. 33 indexed citations
8.
Mendez, Megan, et al.. (2019). Adenovirus 5 E1A Interacts with E4orf3 To Regulate Viral Chromatin Organization. Journal of Virology. 93(10). 15 indexed citations
9.
Huynh, Angela, SeongJun Han, Michael G. Dorrington, et al.. (2016). A naturally occurring transcript variant of MARCO reveals the SRCR domain is critical for function. Immunology and Cell Biology. 94(7). 646–655. 21 indexed citations
10.
Pelka, Peter, et al.. (2016). The interaction of adenovirus E1A with the mammalian protein Ku70/XRCC6. Virology. 500. 11–21. 19 indexed citations
11.
Jung, Richard, et al.. (2015). Effects of Adenovirus Type 5 E1A Isoforms on Viral Replication in Arrested Human Cells. PLoS ONE. 10(10). e0140124–e0140124. 29 indexed citations
12.
Webb, Paul, Ahmed F. Yousef, Peter Pelka, et al.. (2013). The adenovirus 55 residue E1A protein is a transcriptional activator and binds the unliganded thyroid hormone receptor. Journal of General Virology. 95(1). 142–152. 3 indexed citations
13.
Yousef, Ahmed F., Gregory J. Fonseca, Peter Pelka, et al.. (2010). Identification of a molecular recognition feature in the E1A oncoprotein that binds the SUMO conjugase UBC9 and likely interferes with polySUMOylation. Oncogene. 29(33). 4693–4704. 26 indexed citations
14.
Pelka, Peter, Jailal Ablack, Michael Shuen, et al.. (2009). Identification of a second independent binding site for the pCAF acetyltransferase in adenovirus E1A. Virology. 391(1). 90–98. 19 indexed citations
15.
Pelka, Peter, Jailal Ablack, Joseph Torchia, et al.. (2009). Transcriptional control by adenovirus E1A conserved region 3 via p300/CBP. Nucleic Acids Research. 37(4). 1095–1106. 48 indexed citations
16.
Pelka, Peter, et al.. (2007). Adenovirus E1A proteins direct subcellular redistribution of Nek9, A NimA‐related kinase. Journal of Cellular Physiology. 212(1). 13–25. 18 indexed citations
17.
Howe, John A., Peter Pelka, Murali Ramachandra, et al.. (2005). Matching complementing functions of transformed cells with stable expression of selected viral genes for production of E1-deleted adenovirus vectors. Virology. 345(1). 220–230. 7 indexed citations
18.
Mukhopadhyay, Mahua, Peter Pelka, Xiaoli Zhao, et al.. (2003). A Novel Double-stranded RNA-binding Protein, Disco Interacting Protein 1 (DIP1), Contributes to Cell Fate Decisions during Drosophila Development. Journal of Biological Chemistry. 278(39). 38040–38050. 16 indexed citations
19.
Mukhopadhyay, Mahua, Peter Pelka, Boris Kablar, et al.. (2002). Cloning, genomic organization and expression pattern of a novel Drosophila gene, the disco-interacting protein 2 ( dip2 ), and its murine homolog. Gene. 293(1-2). 59–65. 36 indexed citations
20.
Lee, Kevin J., Mahua Mukhopadhyay, Peter Pelka, Ana Regina Nascimento Campos, & Hermann Steller. (1999). Autoregulation of the Drosophila disconnected Gene in the Developing Visual System. Developmental Biology. 214(2). 385–398. 8 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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