Daniel Skup

777 total citations
33 papers, 708 citations indexed

About

Daniel Skup is a scholar working on Molecular Biology, Immunology and Oncology. According to data from OpenAlex, Daniel Skup has authored 33 papers receiving a total of 708 indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Molecular Biology, 16 papers in Immunology and 12 papers in Oncology. Recurrent topics in Daniel Skup's work include interferon and immune responses (15 papers), RNA Research and Splicing (8 papers) and Cytokine Signaling Pathways and Interactions (7 papers). Daniel Skup is often cited by papers focused on interferon and immune responses (15 papers), RNA Research and Splicing (8 papers) and Cytokine Signaling Pathways and Interactions (7 papers). Daniel Skup collaborates with scholars based in Canada, United States and France. Daniel Skup's co-authors include Benoit Coulombe, Bryan Williams, Ann M. Flenniken, Luc Daigneault, Christine Campbell, Pierre Belhumeur, Madhura Castelino, Dirk R. Gewert, Gary D. Paterno and John D. Windass and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and Journal of Biological Chemistry.

In The Last Decade

Daniel Skup

33 papers receiving 664 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 Skup Canada 15 405 269 259 177 106 33 708
Kevin B. Leslie Canada 12 494 1.2× 141 0.5× 236 0.9× 335 1.9× 60 0.6× 16 919
Iris Dallmann Germany 17 480 1.2× 266 1.0× 376 1.5× 366 2.1× 87 0.8× 34 984
J C Pena United States 9 511 1.3× 210 0.8× 254 1.0× 455 2.6× 83 0.8× 9 1.0k
Marie‐Berthe Raes France 10 411 1.0× 175 0.7× 142 0.5× 87 0.5× 108 1.0× 12 639
Dennis K. Watson United States 11 642 1.6× 131 0.5× 154 0.6× 103 0.6× 136 1.3× 18 878
Juanita Campos-Torres United States 9 627 1.5× 171 0.6× 427 1.6× 643 3.6× 106 1.0× 11 1.4k
Sujatha Nagulapalli United States 9 453 1.1× 183 0.7× 273 1.1× 667 3.8× 77 0.7× 9 1.0k
A. Lagarde Canada 10 362 0.9× 182 0.7× 255 1.0× 165 0.9× 90 0.8× 19 706
Guangwu Huang China 19 597 1.5× 310 1.2× 237 0.9× 90 0.5× 78 0.7× 43 918
Gabriele Beck‐Engeser United States 19 465 1.1× 111 0.4× 151 0.6× 563 3.2× 130 1.2× 31 1.0k

Countries citing papers authored by Daniel Skup

Since Specialization
Citations

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

Fields of papers citing papers by Daniel Skup

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Daniel Skup

This figure shows the co-authorship network connecting the top 25 collaborators of Daniel Skup. A scholar is included among the top collaborators of Daniel Skup 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 Skup. Daniel Skup 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.
2.
Paterno, Gary D., Laura L. Gillespie, Jean‐Pierre Julien, & Daniel Skup. (1997). Regulation of neurofilament L, M and H gene expression during retinoic acid-induced neural differentiation of P19 embryonal carcinoma cells. Molecular Brain Research. 49(1-2). 247–254. 18 indexed citations
3.
Rutherford, Michael, et al.. (1996). Expression of Intracellular Interferon Constitutively Activates ISGF3 and Confers Resistance to EMC Viral Infection. Journal of Interferon & Cytokine Research. 16(7). 507–510. 13 indexed citations
4.
Bertrand, Richard, M. Beauchemin, Aline Mamo, et al.. (1995). Cloning and characterization of the human 5,10-methenyltetrahydrofolate synthetase-encoding cDNA. Gene. 165(2). 307–311. 24 indexed citations
5.
Belhumeur, Pierre, et al.. (1993). Action of Spontaneously Produced Beta Interferon in Differentiation of Embryonal Carcinoma Cells through an Autoinduction Mechanism. Molecular and Cellular Biology. 13(5). 2846–2857. 4 indexed citations
6.
Daigneault, Luc, et al.. (1992). Two distinct pathways of interferon induction as revealed by 2-aminopurine. Nucleic Acids Research. 20(11). 2749–2754. 7 indexed citations
8.
Skup, Daniel, et al.. (1992). Regulation of the expression of lamins A and C is post-transcriptional in P19 embryonal carcinoma cells. Biochemical and Biophysical Research Communications. 189(3). 1639–1644. 11 indexed citations
9.
Daigneault, Luc & Daniel Skup. (1992). Increased levels of interferon regulatory element-binding activities in nuclei of high interferon-producing If-1h mice.. PubMed. 3(2). 93–100. 4 indexed citations
10.
Lanoix, Joël, Pierre Belhumeur, Marc Lussier, et al.. (1991). Regulated expression of Krox-24 and other serum-responsive genes during differentiation of P19 embryonal carcinoma cells.. PubMed. 2(8). 391–9. 14 indexed citations
11.
Coulombe, Benoit, et al.. (1991). Decreased expression of tissue inhibitor of metalloproteinases in metastatic tumor cells leading to increased levels of collagenase activity.. PubMed. 51(8). 2138–43. 84 indexed citations
12.
Paterno, Gary D., et al.. (1991). A developmentally regulated octamer-binding activity in embryonal carcinoma cells which represses beta-interferon expression.. PubMed. 2(10). 503–10. 7 indexed citations
13.
Skup, Daniel & André Ponton. (1991). Increased collagenase activity in metastatic cells as a result of decreased TIMP expression.. PubMed. 27. 92–4. 4 indexed citations
14.
Fleming, Gini F., Pierre Belhumeur, Daniel Skup, & Howard M. Fried. (1989). Functional substitution of mouse ribosomal protein L27' for yeast ribosomal protein L29 in yeast ribosomes.. Proceedings of the National Academy of Sciences. 86(1). 217–221. 19 indexed citations
15.
Filion, M.C., Daniel Skup, & M. Suh. (1988). Specific Induction of Cellular Gene Transcription in Herpes Simplex Virus Type 2-Transformed Cells. Journal of General Virology. 69(8). 2011–2019. 6 indexed citations
16.
Belhumeur, Pierre, Marc Lussier, & Daniel Skup. (1988). Expression of naturally occurring RNA molecules complementary to the murine L27' ribosomal protein mRNA. Gene. 72(1-2). 277–285. 8 indexed citations
17.
Coulombe, Benoit & Daniel Skup. (1988). In vitro synthesis of the active tissue inhibitor of metalloproteinases encoded by a complementary DNA from virus-infected murine fibroblasts.. Journal of Biological Chemistry. 263(3). 1439–1443. 25 indexed citations
18.
André, Patrice, et al.. (1988). An embryonic DNA-binding protein specific for a region of the human IFN 1, promoter. Nucleic Acids Research. 16(22). 10575–10592. 11 indexed citations
19.
Coulombe, Benoit, et al.. (1988). Presence of Transcription Regulatory Elements within an Intron of the Virus-Inducible Murine TIMP Gene. Molecular and Cellular Biology. 8(8). 3227–3234. 15 indexed citations
20.
Gewert, Dirk R., Benoit Coulombe, Madhura Castelino, Daniel Skup, & Bryan Williams. (1987). Characterization and expression of a murine gene homologous to human EPA/TIMP: a virus-induced gene in the mouse.. The EMBO Journal. 6(3). 651–657. 74 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

Rankless by CCL
2026