Erik Falck-Pedersen

4.4k total citations
65 papers, 3.7k citations indexed

About

Erik Falck-Pedersen is a scholar working on Genetics, Molecular Biology and Immunology. According to data from OpenAlex, Erik Falck-Pedersen has authored 65 papers receiving a total of 3.7k indexed citations (citations by other indexed papers that have themselves been cited), including 46 papers in Genetics, 40 papers in Molecular Biology and 16 papers in Immunology. Recurrent topics in Erik Falck-Pedersen's work include Virus-based gene therapy research (46 papers), RNA Interference and Gene Delivery (14 papers) and Viral Infectious Diseases and Gene Expression in Insects (13 papers). Erik Falck-Pedersen is often cited by papers focused on Virus-based gene therapy research (46 papers), RNA Interference and Gene Delivery (14 papers) and Viral Infectious Diseases and Gene Expression in Insects (13 papers). Erik Falck-Pedersen collaborates with scholars based in United States, United Kingdom and Netherlands. Erik Falck-Pedersen's co-authors include Leslie A. Leinwand, Jason G. Gall, John S. Logan, James Darnell, Ronald G. Crystal, Saskia C. Stein, Nicola Philpott, Mauricio R. Alvira, John W. Schoggins and Thomas Shenk and has published in prestigious journals such as Cell, Proceedings of the National Academy of Sciences and Nucleic Acids Research.

In The Last Decade

Erik Falck-Pedersen

65 papers receiving 3.7k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Erik Falck-Pedersen United States 35 2.4k 2.0k 869 806 685 65 3.7k
Daniel J. Hui United States 19 1.9k 0.8× 1.7k 0.9× 458 0.5× 766 1.0× 310 0.5× 30 2.8k
Göran Akusjärvi Sweden 41 4.4k 1.8× 3.1k 1.5× 489 0.6× 815 1.0× 820 1.2× 129 5.5k
Philip Ng United States 37 2.6k 1.1× 2.5k 1.3× 339 0.4× 750 0.9× 542 0.8× 94 3.8k
Andrew P. Byrnes United States 26 1.3k 0.6× 1.6k 0.8× 373 0.4× 435 0.5× 528 0.8× 45 2.4k
Matthias Gromeier United States 39 2.0k 0.8× 1.4k 0.7× 913 1.1× 1.4k 1.7× 704 1.0× 118 4.2k
Leonard Meuse United States 30 4.9k 2.0× 4.0k 2.0× 367 0.4× 885 1.1× 645 0.9× 35 6.3k
Volker Sandig Germany 29 2.5k 1.0× 1.4k 0.7× 374 0.4× 557 0.7× 494 0.7× 95 3.4k
Gustavo Droguett United States 10 2.1k 0.9× 2.5k 1.3× 386 0.4× 1.1k 1.4× 699 1.0× 11 3.6k
Nelson A. Wivel United States 25 1.8k 0.7× 1.5k 0.8× 380 0.4× 489 0.6× 589 0.9× 56 3.0k
Justus B. Cohen United States 38 2.1k 0.9× 1.6k 0.8× 794 0.9× 811 1.0× 170 0.2× 142 4.4k

Countries citing papers authored by Erik Falck-Pedersen

Since Specialization
Citations

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

Fields of papers citing papers by Erik Falck-Pedersen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Erik Falck-Pedersen. 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 Erik Falck-Pedersen. The network helps show where Erik Falck-Pedersen may publish in the future.

Co-authorship network of co-authors of Erik Falck-Pedersen

This figure shows the co-authorship network connecting the top 25 collaborators of Erik Falck-Pedersen. A scholar is included among the top collaborators of Erik Falck-Pedersen 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 Erik Falck-Pedersen. Erik Falck-Pedersen 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.
Weskamp, Gisela, Johanna Tüshaus, Daniel Li, et al.. (2020). ADAM17 stabilizes its interacting partner inactive Rhomboid 2 (iRhom2) but not inactive Rhomboid 1 (iRhom1). Journal of Biological Chemistry. 295(13). 4350–4358. 20 indexed citations
2.
Sarbanes, Stephanie L., Vincent A. Blomen, Søren Heissel, et al.. (2020). E3 ubiquitin ligase Mindbomb 1 facilitates nuclear delivery of adenovirus genomes. Proceedings of the National Academy of Sciences. 118(1). 10 indexed citations
3.
Janovitz, Tyler, Susan Wong, Neal S. Young, Thiago Y. Oliveira, & Erik Falck-Pedersen. (2017). Parvovirus B19 integration into human CD36+ erythroid progenitor cells. Virology. 511. 40–48. 18 indexed citations
4.
Janovitz, Tyler, Isaac A. Klein, Thiago Y. Oliveira, et al.. (2013). High-Throughput Sequencing Reveals Principles of Adeno-Associated Virus Serotype 2 Integration. Journal of Virology. 87(15). 8559–8568. 30 indexed citations
5.
Dı́az, Fernando, Diego Gravotta, Ami A. Deora, et al.. (2009). Clathrin adaptor AP1B controls adenovirus infectivity of epithelial cells. Proceedings of the National Academy of Sciences. 106(27). 11143–11148. 59 indexed citations
6.
Schoggins, John W. & Erik Falck-Pedersen. (2009). Serotype 5 Adenovirus fiber (F7F41S) chimeric vectors incur packaging deficiencies when targeting peptides are inserted into Ad41 short fiber. Virology. 395(1). 10–20. 1 indexed citations
7.
Gall, Jason G., John W. Schoggins, & Erik Falck-Pedersen. (2007). Adenovirus Capsid Chimeras: Fiber Terminal Exon Insertions/Gene Replacements in the Major Late Transcription Unit. Humana Press eBooks. 130. 107–124. 1 indexed citations
8.
Hu, Xiaoyu, Carmen Herrero, Taras T. Antoniv, et al.. (2002). Sensitization of IFN-γ Jak-STAT signaling during macrophage activation. Nature Immunology. 3(9). 859–866. 199 indexed citations
9.
Philpott, Nicola, et al.. (2002). A p5 integration efficiency element mediates Rep-dependent integration into AAVS1 at chromosome 19. Proceedings of the National Academy of Sciences. 99(19). 12381–12385. 75 indexed citations
10.
Peng, Yufeng, Erik Falck-Pedersen, & Keith B. Elkon. (2000). Soluble CD8 Attenuates Cytotoxic T Cell Responses Against Replication-Defective Adenovirus Affording Transprotection of Transgenes In Vivo. The Journal of Immunology. 165(3). 1470–1478. 8 indexed citations
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Kaner, Robert J., Stefan Worgall, Philip L. Leopold, et al.. (1999). Modification of the Genetic Program of Human Alveolar Macrophages by Adenovirus Vectors In Vitro Is Feasible but Inefficient, Limited in Part by the Low Level of Expression of the Coxsackie/Adenovirus Receptor. American Journal of Respiratory Cell and Molecular Biology. 20(3). 361–370. 66 indexed citations
13.
Mastrangeli, Andrea, et al.. (1997). Construction of an adenovirus type 7a E1A- vector. Journal of Virology. 71(11). 8946–8951. 36 indexed citations
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Edwalds-Gilbert, Gretchen, John C. Prescott, & Erik Falck-Pedersen. (1993). 3' RNA Processing Efficiency Plays a Primary Role in Generating Termination-Competent RNA Polymerase II Elongation Complexes. Molecular and Cellular Biology. 13(6). 3472–3480. 31 indexed citations
18.
DeZazzo, J D, Erik Falck-Pedersen, & Michael J. Imperiale. (1991). Sequences Regulating Temporal Poly(A) Site Switching in the Adenovirus Major Late Transcription Unit. Molecular and Cellular Biology. 11(12). 5977–5984. 13 indexed citations
19.
Falck-Pedersen, Erik, et al.. (1989). Regulation of antibody secretion by hybridoma cells. Cellular Immunology. 123(2). 276–282. 1 indexed citations
20.
Falck-Pedersen, Erik & John S. Logan. (1989). Regulation of poly(A) site selection in adenovirus. Journal of Virology. 63(2). 532–541. 53 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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