Dáša Longman

1.7k total citations
18 papers, 1.2k citations indexed

About

Dáša Longman is a scholar working on Molecular Biology, Aging and Genetics. According to data from OpenAlex, Dáša Longman has authored 18 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Molecular Biology, 5 papers in Aging and 2 papers in Genetics. Recurrent topics in Dáša Longman's work include RNA Research and Splicing (15 papers), RNA and protein synthesis mechanisms (7 papers) and RNA modifications and cancer (5 papers). Dáša Longman is often cited by papers focused on RNA Research and Splicing (15 papers), RNA and protein synthesis mechanisms (7 papers) and RNA modifications and cancer (5 papers). Dáša Longman collaborates with scholars based in United Kingdom, Canada and Germany. Dáša Longman's co-authors include Javier F. Cáceres, Nele Hug, Iain L. Johnstone, Ronald H.A. Plasterk, Corina Anastasaki, E. Elizabeth Patton, Jeremy R. Sanford, Benjamin J. Blencowe, Susan McCracken and Graeme R. Grimes and has published in prestigious journals such as Nucleic Acids Research, Journal of Biological Chemistry and Genes & Development.

In The Last Decade

Dáša Longman

18 papers receiving 1.2k citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Dáša Longman United Kingdom	16	1.1k	158	82	75	72	18	1.2k
Nele Hug United Kingdom	12	942 0.9×	116 0.7×	113 1.4×	71 0.9×	88 1.2×	14	1.2k
Yick W. Fong United States	14	1.1k 1.0×	84 0.5×	94 1.1×	42 0.6×	51 0.7×	19	1.3k
Jiyung Shin United States	10	997 0.9×	129 0.8×	82 1.0×	154 2.1×	68 0.9×	11	1.4k
Aline Marnef France	17	980 0.9×	140 0.9×	75 0.9×	28 0.4×	41 0.6×	21	1.1k
Svetlana Petruk United States	18	1.3k 1.3×	174 1.1×	197 2.4×	41 0.5×	40 0.6×	27	1.6k
Isao Kashima Japan	12	2.1k 1.9×	89 0.6×	82 1.0×	35 0.5×	110 1.5×	12	2.2k
Luc Paillard France	19	1.2k 1.1×	117 0.7×	141 1.7×	15 0.2×	56 0.8×	46	1.3k
Peter Leeds United States	9	1.3k 1.2×	69 0.4×	75 0.9×	34 0.5×	34 0.5×	9	1.4k
Nicola Reynolds United Kingdom	18	1.2k 1.1×	321 2.0×	81 1.0×	28 0.4×	113 1.6×	26	1.5k
Wendy Magis United States	11	955 0.9×	298 1.9×	78 1.0×	27 0.4×	27 0.4×	14	1.1k

Countries citing papers authored by Dáša Longman

Since Specialization

Citations

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

Fields of papers citing papers by Dáša Longman

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Dáša Longman

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

All Works

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18 of 18 papers shown

Longman, Dáša, et al.. (2023). Translation‐coupled mRNA quality control mechanisms. The EMBO Journal. 42(19). e114378–e114378. 47 indexed citations

Hug, Nele, Stuart Aitken, Dáša Longman, et al.. (2022). A dual role for the RNA helicase DHX34 in NMD and pre-mRNA splicing and its function in hematopoietic differentiation. RNA. 28(9). 1224–1238. 10 indexed citations

Longman, Dáša, Magdalena M. Maslon, Laura C. Murphy, et al.. (2020). Identification of a localized nonsense-mediated decay pathway at the endoplasmic reticulum. Genes & Development. 34(15-16). 1075–1088. 39 indexed citations

Hug, Nele, Dáša Longman, & Javier F. Cáceres. (2016). Mechanism and regulation of the nonsense-mediated decay pathway. Nucleic Acids Research. 44(4). 1483–1495. 340 indexed citations

Balasubramanian, Meena, Jane A. Hurst, Stephen Brown, et al.. (2016). Compound heterozygous variants in NBAS as a cause of atypical osteogenesis imperfecta. Bone. 94. 65–74. 37 indexed citations

Longman, Dáša, et al.. (2014). Identification and characterization of novel factors that act in the nonsense‐mediated mRNA decay pathway in nematodes, flies and mammals. EMBO Reports. 16(1). 71–78. 23 indexed citations

Longman, Dáša, Nele Hug, Corina Anastasaki, et al.. (2013). DHX34 and NBAS form part of an autoregulatory NMD circuit that regulates endogenous RNA targets in human cells, zebrafish and Caenorhabditis elegans. Nucleic Acids Research. 41(17). 8319–8331. 68 indexed citations

Anastasaki, Corina, et al.. (2011). Dhx34 and Nbas function in the NMD pathway and are required for embryonic development in zebrafish. Nucleic Acids Research. 39(9). 3686–3694. 58 indexed citations

Longman, Dáša, et al.. (2008). Nonsense-Mediated mRNA Decay in Caenorhabditis elegans. Methods in enzymology on CD-ROM/Methods in enzymology. 449. 149–164. 3 indexed citations

10.

Fortes, Puri, Dáša Longman, Susan McCracken, et al.. (2007). Identification and characterization of RED120: A conserved PWI domain protein with links to splicing and 3′‐end formation. FEBS Letters. 581(16). 3087–3097. 19 indexed citations

11.

Longman, Dáša, Ronald H.A. Plasterk, Iain L. Johnstone, & Javier F. Cáceres. (2007). Mechanistic insights and identification of two novel factors in the C. elegans NMD pathway. Genes & Development. 21(9). 1075–1085. 137 indexed citations

12.

McCracken, Susan, Dáša Longman, Edyta Marcon, et al.. (2005). Proteomic Analysis of SRm160-containing Complexes Reveals a Conserved Association with Cohesin. Journal of Biological Chemistry. 280(51). 42227–42236. 27 indexed citations

13.

McCracken, Susan, Dáša Longman, Iain L. Johnstone, Javier F. Cáceres, & Benjamin J. Blencowe. (2003). An Evolutionarily Conserved Role for SRm160 in 3′-End Processing That Functions Independently of Exon Junction Complex Formation. Journal of Biological Chemistry. 278(45). 44153–44160. 35 indexed citations

14.

Sanford, Jeremy R., Dáša Longman, & Javier F. Cáceres. (2003). Multiple Roles of the SR Protein Family in Splicing Regulation. Progress in molecular and subcellular biology. 31. 33–58. 57 indexed citations

15.

Longman, Dáša, Iain L. Johnstone, & Javier F. Cáceres. (2003). The Ref/Aly proteins are dispensable for mRNA export and development in Caenorhabditis elegans. RNA. 9(7). 881–891. 85 indexed citations

16.

Dellaire, Graham, Evgeny M. Makarov, Dáša Longman, et al.. (2002). Mammalian PRP4 Kinase Copurifies and Interacts with Components of Both the U5 snRNP and the N-CoR Deacetylase Complexes. Molecular and Cellular Biology. 22(14). 5141–5156. 69 indexed citations

17.

Longman, Dáša, et al.. (2001). Multiple interactions between SRm160 and SR family proteins in enhancer-dependent splicing and development of C. elegans. Current Biology. 11(24). 1923–1933. 40 indexed citations

18.

Longman, Dáša. (2000). Functional characterization of SR and SR-related genes in Caenorhabditis elegans. The EMBO Journal. 19(7). 1625–1637. 135 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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