Robert Nadon

3.3k total citations · 1 hit paper
58 papers, 2.4k citations indexed

About

Robert Nadon is a scholar working on Molecular Biology, Cognitive Neuroscience and Biophysics. According to data from OpenAlex, Robert Nadon has authored 58 papers receiving a total of 2.4k indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Molecular Biology, 15 papers in Cognitive Neuroscience and 12 papers in Biophysics. Recurrent topics in Robert Nadon's work include Pain Management and Placebo Effect (15 papers), Cell Image Analysis Techniques (12 papers) and Gene expression and cancer classification (10 papers). Robert Nadon is often cited by papers focused on Pain Management and Placebo Effect (15 papers), Cell Image Analysis Techniques (12 papers) and Gene expression and cancer classification (10 papers). Robert Nadon collaborates with scholars based in Canada, United States and France. Robert Nadon's co-authors include Nathalie Malo, Jerry Pelletier, James A. Hanley, Sonia Cerquozzi, Jennifer Shoemaker, Jean-Roch Laurence, Campbell Perry, Ola Larsson, John F. Kihlstrom and Vladimir Makarenkov and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Personality and Social Psychology and Nature Communications.

In The Last Decade

Robert Nadon

57 papers receiving 2.3k citations

Hit Papers

Statistical practice in high-throughput screening data an... 2006 2026 2012 2019 2006 100 200 300 400 500

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Robert Nadon Canada 26 1.3k 372 239 194 175 58 2.4k
Stanley E. Lazic United Kingdom 25 681 0.5× 280 0.8× 135 0.6× 103 0.5× 57 0.3× 64 2.4k
Jean‐Marc Schwartz United Kingdom 30 1.4k 1.1× 66 0.2× 137 0.6× 159 0.8× 131 0.7× 110 2.7k
Xiaoqiang Sun China 24 692 0.5× 190 0.5× 90 0.4× 54 0.3× 277 1.6× 104 1.6k
Uğis Sarkans United Kingdom 18 1.9k 1.5× 106 0.3× 119 0.5× 262 1.4× 126 0.7× 29 2.5k
David Lee United States 27 2.0k 1.5× 86 0.2× 165 0.7× 108 0.6× 68 0.4× 76 3.1k
Mark Reimers United States 31 2.2k 1.7× 379 1.0× 101 0.4× 64 0.3× 278 1.6× 52 4.4k
Mark O. Collins United Kingdom 28 2.3k 1.8× 247 0.7× 75 0.3× 71 0.4× 260 1.5× 55 3.7k
Kirill A. Martemyanov United States 48 5.1k 4.0× 188 0.5× 137 0.6× 79 0.4× 192 1.1× 168 6.4k
Elias Chaibub Neto United States 15 648 0.5× 338 0.9× 134 0.6× 34 0.2× 29 0.2× 33 1.9k
Stevens K. Rehen Brazil 34 2.6k 2.0× 137 0.4× 31 0.1× 69 0.4× 161 0.9× 119 4.7k

Countries citing papers authored by Robert Nadon

Since Specialization
Citations

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

Fields of papers citing papers by Robert Nadon

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Robert Nadon

This figure shows the co-authorship network connecting the top 25 collaborators of Robert Nadon. A scholar is included among the top collaborators of Robert Nadon 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 Robert Nadon. Robert Nadon 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.
Piper, Sophie K., Ulrike Grittner, André Rex, et al.. (2019). Exact replication: Foundation of science or game of chance?. PLoS Biology. 17(4). e3000188–e3000188. 16 indexed citations
2.
Aguilar‐Valles, Argel, Nabila Haji, Danilo De Gregorio, et al.. (2018). Translational control of depression-like behavior via phosphorylation of eukaryotic translation initiation factor 4E. Nature Communications. 9(1). 2459–2459. 63 indexed citations
3.
Grittner, Ulrike, Ulrich Dirnagl, Sophie K. Piper, et al.. (2017). Neuroprotective efficacy of valproate in stroke: Replacing preclinical replication experiments by flipping coins?. OSF Preprints (OSF Preprints). 1 indexed citations
4.
Mazoure, Bogdan, Robert Nadon, & Vladimir Makarenkov. (2017). Identification and correction of spatial bias are essential for obtaining quality data in high-throughput screening technologies. Scientific Reports. 7(1). 11921–11921. 13 indexed citations
5.
6.
Murie, Carl, et al.. (2014). Improving Detection of Rare Biological Events in High-Throughput Screens. SLAS DISCOVERY. 20(2). 230–241. 4 indexed citations
7.
Boussouar, Amina, Caroline Barette, Robert Nadon, et al.. (2013). Acacetin and Chrysin, Two Polyphenolic Compounds, Alleviate Telomeric Position Effect in Human Cells. Molecular Therapy — Nucleic Acids. 2. e116–e116. 15 indexed citations
8.
Xu, Guoxiong, Miriam Barrios‐Rodiles, Mirjana Jerkić, et al.. (2013). Novel Protein Interactions with Endoglin and Activin Receptor-like Kinase 1: Potential Role in Vascular Networks. Molecular & Cellular Proteomics. 13(2). 489–502. 16 indexed citations
9.
Gaitan, Yaned, et al.. (2011). Vesicoureteral Reflux and Other Urinary Tract Malformations in Mice Compound Heterozygous for Pax2 and Emx2. PLoS ONE. 6(6). e21529–e21529. 22 indexed citations
10.
Soleilhac, Emmanuelle, Robert Nadon, & Laurence Lafanéchère. (2010). High-content screening for the discovery of pharmacological compounds: advantages, challenges and potential benefits of recent technological developments. Expert Opinion on Drug Discovery. 5(2). 135–144. 14 indexed citations
11.
Malo, Nathalie, James A. Hanley, Graeme W. Carlile, et al.. (2010). Experimental Design and Statistical Methods for Improved Hit Detection in High-Throughput Screening. SLAS DISCOVERY. 15(8). 990–1000. 29 indexed citations
12.
Malo, Nathalie, James A. Hanley, Sonia Cerquozzi, Jerry Pelletier, & Robert Nadon. (2006). Statistical practice in high-throughput screening data analysis. Nature Biotechnology. 24(2). 167–175. 527 indexed citations breakdown →
13.
Woody, Owen Z. & Robert Nadon. (2006). The Shivplot: a graphical display for trend elucidation and exploratory analysis of microarray data. SHILAP Revista de lepidopterología. 1(1). 6–6. 2 indexed citations
14.
Miron, Murray S. & Robert Nadon. (2005). Inferential literacy for experimental high-throughput biology. Trends in Genetics. 22(2). 84–89. 25 indexed citations
15.
Whitehouse, Wayne G., et al.. (2005). The Cognitive Interview: Does It Successfully Avoid the Dangers of Forensic Hypnosis?. The American Journal of Psychology. 118(2). 213–234. 7 indexed citations
16.
Nadon, Robert & Jean-Roch Laurence. (1994). Idiographic Approaches to Hypnosis Research (Or How Therapeutic Practice Can Inform Science). American Journal of Clinical Hypnosis. 37(2). 85–94. 10 indexed citations
17.
Otto‐Salaj, Laura L., et al.. (1992). Laterality of Hypnotic Response. International Journal of Clinical and Experimental Hypnosis. 40(1). 12–20. 6 indexed citations
18.
Nadon, Robert, et al.. (1991). Absorption and hypnotizability: Context effects reexamined.. Journal of Personality and Social Psychology. 60(1). 144–153. 79 indexed citations
19.
Laurence, Jean-Roch, et al.. (1990). Hypnotizability, preference for an imagic cognitive style, and memory creation in hypnosis.. Journal of Abnormal Psychology. 99(3). 222–228. 28 indexed citations
20.
Nadon, Robert, Jean-Roch Laurence, & Campbell Perry. (1987). Multiple predictors of hypnotic susceptibility.. Journal of Personality and Social Psychology. 53(5). 948–960. 1 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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