Robert Nadon

57 papers receiving 2.3k citations

Hit Papers

Statistical practice in high-throughput screening data analysis 2006 · 527 citations
5270+6+13Years since publication100200300400500

Peers

Robert Nadon
Comparison fields: 5 of 165
  • General Psychology 99
  • Biophysics 194
  • Cognitive Neuroscience 372
  • Molecular Biology 1.3k
  • Computational Theory and Mathematics 239
Replace Mark Reimers with:
Mark Reimers United States
John Hunter United States
Yoshio Sakurai Japan
Niall Shanks United States
Anthony Gitter United States
Stanley E. Lazic United Kingdom
John A. Bachman United States
Susana R. Neves United States
Paul A. Johnston United States
Uğis Sarkans United Kingdom
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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-authors

The 25 scholars most cited alongside Robert Nadon, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Robert Nadon Line = papers co-authored together Robert Nadon links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 58 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Statistical practice in high-throughput screening data analysis
Hit paper breakdown →
2006527
2 2008229
3 2002208
4 199179
5 200770
6 200664
7 199164
8 201863
9 200956
10 201055
11 201153
12 198752
13 200951
14
The measurement of hypnotic ability.
199250
15 198644
16 200343
17 201443
18 198642
19 200541
20 201638

About Robert Nadon

Robert Nadon is a scholar working on Molecular Biology, Cognitive Neuroscience, Biophysics, Statistics and Probability and Computational Theory and Mathematics, having authored 58 papers that have together received 2.4k indexed citations. Recurring topics across this work include Pain Management and Placebo Effect (15 papers), Cell Image Analysis Techniques (12 papers), Gene expression and cancer classification (10 papers), Computational Drug Discovery Methods (8 papers), Statistical Methods in Clinical Trials (8 papers), Neuroscience, Education and Cognitive Function (7 papers), Academic and Historical Perspectives in Psychology (7 papers) and RNA Research and Splicing (4 papers). The work is most often cited by research in General Psychology (99 citations), Biophysics (194 citations), Cognitive Neuroscience (372 citations), Molecular Biology (1.3k citations) and Computational Theory and Mathematics (239 citations). Robert Nadon has collaborated with scholars based in Canada, United States and France. Frequent 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. Their work appears in journals such as Bioinformatics, International Journal of Clinical and Experimental Hypnosis, Journal of Personality and Social Psychology, SLAS DISCOVERY and BMC Bioinformatics.

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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