Samuel Gunderson

2.9k total citations
46 papers, 2.5k citations indexed

About

Samuel Gunderson is a scholar working on Molecular Biology, Immunology and Plant Science. According to data from OpenAlex, Samuel Gunderson has authored 46 papers receiving a total of 2.5k indexed citations (citations by other indexed papers that have themselves been cited), including 43 papers in Molecular Biology, 4 papers in Immunology and 4 papers in Plant Science. Recurrent topics in Samuel Gunderson's work include RNA Research and Splicing (32 papers), RNA modifications and cancer (22 papers) and RNA and protein synthesis mechanisms (20 papers). Samuel Gunderson is often cited by papers focused on RNA Research and Splicing (32 papers), RNA modifications and cancer (22 papers) and RNA and protein synthesis mechanisms (20 papers). Samuel Gunderson collaborates with scholars based in United States, Germany and United Kingdom. Samuel Gunderson's co-authors include Iain W. Mattaj, Maria Polycarpou‐Schwarz, Richard R. Burgess, Mark W. Knuth, Wilbert C. Boelens, Stéphan Vagner, Rafal Goraczniak, Kenneth A. Chapman, Katrin Beyer and Georges Martín and has published in prestigious journals such as Cell, Proceedings of the National Academy of Sciences and Nucleic Acids Research.

In The Last Decade

Samuel Gunderson

44 papers receiving 2.4k citations

Peers

Samuel Gunderson

GENET

IMMUN

Neus Visa Sweden

Dierk Niessing Germany

Angela Krämer Switzerland

Reinhard Lührmann Germany

Olga V. Makarova Germany

Woan‐Yuh Tarn Taiwan

Carol E. Lyon United Kingdom

Gary W. Zieve United States

Fabrice Lejeune France

Evgeny M. Makarov United Kingdom

Neus Visa Sweden

Samuel Gunderson

2.3k ×1.0

178 ×1.0

GENET

111 ×0.8

IMMUN

114 ×1.0

128 ×1.2

Citations per year, relative to Samuel Gunderson Samuel Gunderson (= 1×) peers Neus Visa

Countries citing papers authored by Samuel Gunderson

Since Specialization

Citations

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

Fields of papers citing papers by Samuel Gunderson

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Samuel Gunderson

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

All Works

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20 of 20 papers shown

Prasad, Kavita, et al.. (2025). Tissue distribution pharmacokinetics of intrathecal U1 adaptor oligonucleotide in mice. PubMed. 8. 100220–100220.

Gunderson, Samuel, et al.. (2025). Identifying antisense oligonucleotides for targeted inhibition of insulin receptor isoform A. Frontiers in Oncology. 15. 1563985–1563985.

Dudgeon, Crissy, Yi Lan, Xin Yu, et al.. (2017). U1 Adaptors Suppress the KRAS-MYC Oncogenic Axis in Human Pancreatic Cancer Xenografts. Molecular Cancer Therapeutics. 16(8). 1445–1455. 12 indexed citations

Li, Wencheng, Bei You, Mainul Hoque, et al.. (2015). Systematic Profiling of Poly(A)+ Transcripts Modulated by Core 3’ End Processing and Splicing Factors Reveals Regulatory Rules of Alternative Cleavage and Polyadenylation. PLoS Genetics. 11(4). e1005166–e1005166. 201 indexed citations

Chang, Brian L., et al.. (2009). Next-generation SELEX identifies sequence and structural determinants of splicing factor binding in human pre-mRNA sequence. RNA. 15(12). 2385–2397. 39 indexed citations

Jakubowski, Christopher, et al.. (2009). iTriplet, a rule-based nucleic acid sequence motif finder. Algorithms for Molecular Biology. 4(1). 14–14. 25 indexed citations

Goraczniak, Rafal, Mark A. Behlke, & Samuel Gunderson. (2009). Gene silencing by synthetic U1 Adaptors. Nature Biotechnology. 27(3). 257–263. 50 indexed citations

Jankowska, Anna, Samuel Gunderson, Mirosław Andrusiewicz, et al.. (2008). Reduction of human chorionic gonadotropin beta subunit expression by modified U1 snRNA caused apoptosis in cervical cancer cells. Molecular Cancer. 7(1). 26–26. 31 indexed citations

Vera, María, et al.. (2008). Requirements for gene silencing mediated by U1 snRNA binding to a target sequence. Nucleic Acids Research. 36(7). 2338–2352. 44 indexed citations

10.

Guan, Fei, et al.. (2007). A bipartite U1 site represses U1A expression by synergizing with PIE to inhibit nuclear polyadenylation. RNA. 13(12). 2129–2140. 26 indexed citations

11.

Ma, Jianglin, Samuel Gunderson, & Catherine Phillips. (2005). Non-snRNP U1A levels decrease during mammalian B-cell differentiation and release the IgM secretory poly(A) site from repression. RNA. 12(1). 122–132. 23 indexed citations

12.

Phillips, Catherine, Niseema Pachikara, & Samuel Gunderson. (2004). U1A Inhibits Cleavage at the Immunoglobulin M Heavy-Chain Secretory Poly(A) Site by Binding between the Two Downstream GU-Rich Regions. Molecular and Cellular Biology. 24(14). 6162–6171. 42 indexed citations

13.

Miranda, Tina Branscombe, Jeffry R. Cook, Jin‐Hyung Lee, et al.. (2004). Spliceosome Sm proteins D1, D3, and B/B′ are asymmetrically dimethylated at arginine residues in the nucleus. Biochemical and Biophysical Research Communications. 323(2). 382–387. 35 indexed citations

14.

Fortes, Puri, Yolanda Cuevas, Fei Guan, et al.. (2003). Inhibiting expression of specific genes in mammalian cells with 5′ end-mutated U1 small nuclear RNAs targeted to terminal exons of pre-mRNA. Proceedings of the National Academy of Sciences. 100(14). 8264–8269. 69 indexed citations

15.

Gunderson, Samuel, et al.. (2002). Identification of New Poly(A) Polymerase-inhibitory Proteins Capable of Regulating Pre-mRNA Polyadenylation. Journal of Molecular Biology. 318(5). 1189–1206. 31 indexed citations

16.

Vagner, Stéphan, et al.. (2000). Position-dependent inhibition of the cleavage step of pre-mRNA 3′-end processing by U1 snRNP. RNA. 6(2). 178–188. 67 indexed citations

17.

Varani, Gabriele, Luca Varani, Samuel Gunderson, et al.. (2000). The NMR structure of the 38 kDa U1A protein - PIE RNA complex reveals the basis of cooperativity in regulation of polyadenylation by human U1A protein.. Nature Structural Biology. 7(4). 329–335. 112 indexed citations

18.

Gunderson, Samuel, Maria Polycarpou‐Schwarz, & Iain W. Mattaj. (1998). U1 snRNP Inhibits Pre-mRNA Polyadenylation through a Direct Interaction between U1 70K and Poly(A) Polymerase. Molecular Cell. 1(2). 255–264. 246 indexed citations

19.

Polycarpou‐Schwarz, Maria, Samuel Gunderson, Stefanie Kandels‐Lewis, Bertrand Séraphin, & Iain W. Mattaj. (1996). Drosophila SNF/D25 combines the functions of the two snRNP proteins U1A and U2B' that are encoded separately in human, potato, and yeast.. PubMed. 2(1). 11–23. 47 indexed citations

20.

Chapman, Kenneth A., et al.. (1988). Bacteriophage T7 late promoters with point mutations: quantitative footprinting andin vivoexpression. Nucleic Acids Research. 16(10). 4511–4524. 36 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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