Daniel Scherly

1.6k total citations
28 papers, 1.4k citations indexed

About

Daniel Scherly is a scholar working on Molecular Biology, Biomedical Engineering and Rehabilitation. According to data from OpenAlex, Daniel Scherly has authored 28 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Molecular Biology, 4 papers in Biomedical Engineering and 3 papers in Rehabilitation. Recurrent topics in Daniel Scherly's work include RNA and protein synthesis mechanisms (12 papers), RNA Research and Splicing (12 papers) and RNA modifications and cancer (7 papers). Daniel Scherly is often cited by papers focused on RNA and protein synthesis mechanisms (12 papers), RNA Research and Splicing (12 papers) and RNA modifications and cancer (7 papers). Daniel Scherly collaborates with scholars based in Switzerland, Netherlands and United Kingdom. Daniel Scherly's co-authors include Iain W. Mattaj, Nina Dathan, Wilbert C. Boelens, Walther J. van Venrooij, Stuart G. Clarkson, Jörg Hamm, Huw D. Parry, Thierry Nouspikel, Amos Bairoch and Catherine Ucla and has published in prestigious journals such as Nature, Nucleic Acids Research and Journal of Biological Chemistry.

In The Last Decade

Daniel Scherly

25 papers receiving 1.4k 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 Scherly Switzerland 14 1.2k 122 121 93 85 28 1.4k
Majid Ghoddusi Australia 15 463 0.4× 84 0.7× 128 1.1× 57 0.6× 39 0.5× 23 773
Jacques Rouquette France 16 606 0.5× 55 0.5× 51 0.4× 52 0.6× 79 0.9× 21 906
Rolf Turk United States 17 1.2k 1.0× 43 0.4× 77 0.6× 64 0.7× 317 3.7× 25 1.4k
Ian R. Graham United Kingdom 21 1.3k 1.1× 82 0.7× 136 1.1× 52 0.6× 336 4.0× 38 1.4k
Matthias Rübsam Germany 13 334 0.3× 112 0.9× 20 0.2× 26 0.3× 55 0.6× 22 802
Wei Leong Chew Singapore 13 1.8k 1.5× 49 0.4× 204 1.7× 67 0.7× 646 7.6× 23 2.1k
Sheng Ding China 9 832 0.7× 22 0.2× 53 0.4× 137 1.5× 351 4.1× 16 1.1k
Hannelore Meyer Germany 12 587 0.5× 25 0.2× 19 0.2× 23 0.2× 75 0.9× 15 1.1k
Palma Rico-Lastres Spain 6 538 0.4× 178 1.5× 28 0.2× 40 0.4× 30 0.4× 8 1.1k
Antonia A. Dominguez United States 12 1.3k 1.1× 104 0.9× 37 0.3× 118 1.3× 259 3.0× 16 1.5k

Countries citing papers authored by Daniel Scherly

Since Specialization
Citations

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

Fields of papers citing papers by Daniel Scherly

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Daniel Scherly

This figure shows the co-authorship network connecting the top 25 collaborators of Daniel Scherly. A scholar is included among the top collaborators of Daniel Scherly 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 Scherly. Daniel Scherly 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.
Cerutti, Bernard, et al.. (2024). E-learning modules to improve clinical reasoning and practice: a prospective comparative study. SHILAP Revista de lepidopterología. 13. 39–39.
2.
Cerutti, Bernard, et al.. (2023). E-learning modules to improve clinical reasoning and practice: a prospective comparative study. MedEdPublish. 13. 39–39.
3.
4.
Stadler, Konrad S. & Daniel Scherly. (2017). Exoskeletons in industry : designs and their potential. Zürcher Hochschule für Angewandte Wissenschaften digital collection (Zurich University of Applied Sciences). 2 indexed citations
5.
Brand, Martin D., et al.. (2014). Analysis of off-the-shelf stereo camera system bumblebee XB3 for the fruit volume and leaf area estimation. Zürcher Hochschule für Angewandte Wissenschaften digital collection (Zurich University of Applied Sciences). 1 indexed citations
6.
Moretti, Roberto, et al.. (2001). Teaching community health by exploiting international socio-cultural and economical differences.. Infoscience (Ecole Polytechnique Fédérale de Lausanne). 97–105. 9 indexed citations
7.
Samec, Sonia, et al.. (1994). Dinucleotide repeat polymorphism within ERCC5 gene. Human Molecular Genetics. 3(1). 214–214. 7 indexed citations
8.
O’Donovan, Aoife, Daniel Scherly, Stuart G. Clarkson, & Richard D. Wood. (1994). Isolation of active recombinant XPG protein, a human DNA repair endonuclease.. Journal of Biological Chemistry. 269(23). 15965–15968. 73 indexed citations
9.
Samec, Sonia, T. Alwyn Jones, Daniel Scherly, et al.. (1994). The Human Gene for Xeroderma Pigmentosum Complementation Group G (XPG) Maps to 13q33 by Fluorescence in Situ Hybridization. Genomics. 21(1). 283–285. 10 indexed citations
10.
Scherly, Daniel, Françoise Stutz, Nathalie Lin-Marq, & Stuart G. Clarkson. (1993). La Proteins from Xenopus laevis cDNA Cloning and Development Expression. Journal of Molecular Biology. 231(2). 196–204. 36 indexed citations
11.
Scherly, Daniel, et al.. (1993). Complementation of the DNA repair defect in xeroderma pigmentosum group G cells by a human cDNA related to yeast RAD2. Nature. 363(6425). 182–185. 170 indexed citations
12.
Boelens, Wilbert C., Daniel Scherly, Eric J. R. Jansen, et al.. (1991). A weak interaction between the U2A′ protein and U2 snRNA helps to stabilize their complex with the U2B” protein. Nucleic Acids Research. 19(3). 455–460. 41 indexed citations
13.
Boelens, Wilbert C., et al.. (1991). Analysis ofin vitrobinding of U1-A protein mutants to U1 snRNA. Nucleic Acids Research. 19(17). 4611–4618. 30 indexed citations
14.
Boelens, Wilbert C., Daniel Scherly, Iain W. Mattaj, & W J van Venrooij. (1990). Analysis of the in vitro binding of A and B″ snRNP proteins to U1 and U2 snRNAs using mutated A and B″ proteins. Molecular Biology Reports. 14(2-3). 159–159. 4 indexed citations
15.
Scherly, Daniel, Wilbert C. Boelens, Nina Dathan, et al.. (1990). Binding specificity determinants of U1A and U2B″ proteins. Molecular Biology Reports. 14(2-3). 181–182. 5 indexed citations
16.
Scherly, Daniel, Wilbert C. Boelens, Nina Dathan, Walther J. van Venrooij, & Iain W. Mattaj. (1990). Major determinants of the specificity of interaction between small nuclear ribonucleoproteins U1A and U2B" and their cognate RNAs. Nature. 345(6275). 502–506. 262 indexed citations
17.
Hamm, Jörg, Nina Dathan, Daniel Scherly, & Iain W. Mattaj. (1990). Multiple domains of U1 snRNA, including U1 specific protein binding sites, are required for splicing.. The EMBO Journal. 9(4). 1237–1244. 57 indexed citations
18.
Scherly, Daniel, Nina Dathan, Wilbert C. Boelens, W J van Venrooij, & Iain W. Mattaj. (1990). The U2B″ RNP motif as a site of protein-protein interaction.. The EMBO Journal. 9(11). 3675–3681. 90 indexed citations
19.
Etzerodt, Michael, Robert Vignali, Gennaro Ciliberto, et al.. (1988). Structure and expression of a Xenopus gene encoding an snRNP protein (U1 70K).. The EMBO Journal. 7(13). 4311–4321. 54 indexed citations
20.
Scherly, Daniel, et al.. (1987). Structure and transcription termination of a lysine tRNA gene from Xenopus laevis. Journal of Molecular Biology. 195(4). 835–845. 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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