Paula Duek

4.3k total citations · 2 hit papers
27 papers, 3.2k citations indexed

About

Paula Duek is a scholar working on Molecular Biology, Spectroscopy and Plant Science. According to data from OpenAlex, Paula Duek has authored 27 papers receiving a total of 3.2k indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Molecular Biology, 7 papers in Spectroscopy and 7 papers in Plant Science. Recurrent topics in Paula Duek's work include Advanced Proteomics Techniques and Applications (7 papers), Bioinformatics and Genomic Networks (7 papers) and Light effects on plants (7 papers). Paula Duek is often cited by papers focused on Advanced Proteomics Techniques and Applications (7 papers), Bioinformatics and Genomic Networks (7 papers) and Light effects on plants (7 papers). Paula Duek collaborates with scholars based in Switzerland, France and Argentina. Paula Duek's co-authors include Christian Fankhauser, Séverine Lorrain, Trudie Allen, Garry C. Whitelam, Kazunari Nozue, Stacey L. Harmer, Julin Maloof, Michael F. Covington, Amos Bairoch and Lydie Lane and has published in prestigious journals such as Nature, Nucleic Acids Research and PLoS ONE.

In The Last Decade

Paula Duek

27 papers receiving 3.1k citations

Hit Papers

Phytochrome‐mediated inhibition of shade avoidance involv... 2007 2026 2013 2019 2007 2007 200 400 600

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Paula Duek Switzerland 20 2.4k 2.2k 300 124 57 27 3.2k
Grażyna Dobrowolska Poland 33 1.7k 0.7× 1.8k 0.8× 86 0.3× 95 0.8× 74 1.3× 53 3.0k
Bruce May United States 16 1.9k 0.8× 1.5k 0.7× 46 0.2× 265 2.1× 114 2.0× 21 2.7k
Karen A. Ketchum United States 13 901 0.4× 445 0.2× 117 0.4× 45 0.4× 137 2.4× 15 1.3k
Udo K. Schmitz Germany 32 2.3k 1.0× 597 0.3× 122 0.4× 88 0.7× 54 0.9× 77 2.8k
Symeon Siniossoglou United Kingdom 31 3.1k 1.3× 284 0.1× 136 0.5× 65 0.5× 150 2.6× 43 3.9k
Mart Loog Estonia 23 1.4k 0.6× 551 0.3× 59 0.2× 60 0.5× 26 0.5× 54 1.9k
Wei‐Qing Wang China 24 839 0.4× 686 0.3× 68 0.2× 94 0.8× 49 0.9× 54 1.4k
Laurence M. Brill United States 23 1.4k 0.6× 271 0.1× 405 1.4× 79 0.6× 253 4.4× 34 2.1k
Changjiang Jin China 20 1.5k 0.6× 195 0.1× 141 0.5× 161 1.3× 73 1.3× 36 1.9k
Pierre‐Alexandre Vidi United States 26 1.7k 0.7× 507 0.2× 37 0.1× 58 0.5× 281 4.9× 48 2.4k

Countries citing papers authored by Paula Duek

Since Specialization
Citations

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

Fields of papers citing papers by Paula Duek

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Paula Duek

This figure shows the co-authorship network connecting the top 25 collaborators of Paula Duek. A scholar is included among the top collaborators of Paula Duek 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 Paula Duek. Paula Duek 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.
Kulmanov, Maxat, Francisco J. Guzmán‐Vega, Paula Duek, et al.. (2024). Protein function prediction as approximate semantic entailment. Nature Machine Intelligence. 6(2). 220–228. 45 indexed citations
2.
Göttle, Peter, Lydie Lane, Paula Duek, et al.. (2021). C21orf91 Regulates Oligodendroglial Precursor Cell Fate—A Switch in the Glial Lineage?. Frontiers in Cellular Neuroscience. 15. 653075–653075. 10 indexed citations
3.
Duek, Paula & Lydie Lane. (2019). Worming into the Uncharacterized Human Proteome. Journal of Proteome Research. 18(12). 4143–4153. 5 indexed citations
4.
Zahn‐Zabal, Monique, Pierre-André Michel, Alain Gateau, et al.. (2019). The neXtProt knowledgebase in 2020: data, tools and usability improvements. Nucleic Acids Research. 48(D1). D328–D334. 140 indexed citations
5.
Sallou, Olivier, et al.. (2016). PepPSy: a web server to prioritize gene products in experimental and biocuration workflows. Database. 2016. baw070–baw070. 2 indexed citations
6.
Gaudet, Pascale, Pierre-André Michel, Monique Zahn‐Zabal, et al.. (2016). The neXtProt knowledgebase on human proteins: 2017 update. Nucleic Acids Research. 45(D1). D177–D182. 122 indexed citations
7.
Gaudet, Pascale, Pierre-André Michel, Monique Zahn‐Zabal, et al.. (2015). The neXtProt knowledgebase on human proteins: current status. Nucleic Acids Research. 43(D1). D764–D770. 68 indexed citations
8.
Liu, Fei, Michael Koval, Shoba Ranganathan, et al.. (2015). Systems Proteomics View of the Endogenous Human Claudin Protein Family. Journal of Proteome Research. 15(2). 339–359. 28 indexed citations
9.
Mary, Camille, et al.. (2012). Functional Identification of APIP as Human mtnB, a Key Enzyme in the Methionine Salvage Pathway. PLoS ONE. 7(12). e52877–e52877. 19 indexed citations
10.
Lane, Lydie, Ghislaine Argoud‐Puy, Aurore Britan, et al.. (2011). neXtProt: a knowledge platform for human proteins. Nucleic Acids Research. 40(D1). D76–D83. 134 indexed citations
11.
Yip, Yum L., Maria Livia Famiglietti, Arnaud Gos, et al.. (2008). Annotating single amino acid polymorphisms in the UniProt/Swiss-Prot knowledgebase. Human Mutation. 29(3). 361–366. 90 indexed citations
12.
Duek, Paula, Séverine Lorrain, Christian Fankhauser, Trudie Allen, & Garry C. Whitelam. (2007). Phytochrome-mediated inhibition of shade avoidance involves degradation of growth-promoting bHLH transcription factors. Scopus. 430 indexed citations
13.
Nozue, Kazunari, Michael F. Covington, Paula Duek, et al.. (2007). Rhythmic growth explained by coincidence between internal and external cues. Nature. 448(7151). 358–361. 553 indexed citations breakdown →
14.
Lorrain, Séverine, Trudie Allen, Paula Duek, Garry C. Whitelam, & Christian Fankhauser. (2007). Phytochrome‐mediated inhibition of shade avoidance involves degradation of growth‐promoting bHLH transcription factors. The Plant Journal. 53(2). 312–323. 636 indexed citations breakdown →
15.
D’Alessio, Ana C., et al.. (2007). Non-reductive modulation of chloroplast fructose-1,6-bisphosphatase by 2-Cys peroxiredoxin. Biochemical and Biophysical Research Communications. 355(3). 722–727. 39 indexed citations
16.
Duek, Paula & Christian Fankhauser. (2004). bHLH class transcription factors take centre stage in phytochrome signalling. Trends in Plant Science. 10(2). 51–54. 206 indexed citations
17.
Schepens, Isabelle, Paula Duek, & Christian Fankhauser. (2004). Phytochrome-mediated light signalling in Arabidopsis. Current Opinion in Plant Biology. 7(5). 564–569. 68 indexed citations
19.
Duek, Paula & Christian Fankhauser. (2003). HFR1, a putative bHLH transcription factor, mediates both phytochrome A and cryptochrome signalling. The Plant Journal. 34(6). 827–836. 123 indexed citations
20.
Duek, Paula & Ricardo A. Wolosiuk. (2001). Rapeseed chloroplast thioredoxin-m. Biochimica et Biophysica Acta (BBA) - Protein Structure and Molecular Enzymology. 1546(2). 299–311. 10 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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