Suzanne Paradis

6.3k citations
56 papers · 5.0k · 2 hit papers · h-index 23

Impact in

Papers in

Suzanne Paradis

54 papers receiving 4.9k citations

Suzanne Paradis's Hit Papers

Caenorhabditis elegans Akt/PKB transduces insulin receptor-like signals from AGE-1 PI3 kinase to the DAF-16 transcription factor 1998 · 572 citations
5720+9+19Years since publication50010001.5k

Peers

Suzanne Paradis
Comparison fields: 5 of 140
  • Aging 1.9k
  • Endocrine and Autonomic Systems 754
  • Cellular and Molecular Neuroscience 1.1k
  • Developmental Neuroscience 194
  • Molecular Biology 2.3k
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Citations per year

Countries citing papers authored by Suzanne Paradis

Since Specialization
Citations

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

Fields of papers citing papers by Suzanne Paradis

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Suzanne Paradis, 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 Suzanne Paradis Line = papers co-authored together Suzanne Paradis links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 56 papers — load more, or switch the sort, to bring in the rest.

#Work
1
The Fork head transcription factor DAF-16 transduces insulin-like metabolic and longevity signals in C. elegans
Hit paper breakdown →
19971603
2
Caenorhabditis elegans Akt/PKB transduces insulin receptor-like signals from AGE-1 PI3 kinase to the DAF-16 transcription factor
Hit paper breakdown →
1998572
3 2006452
4 1999340
5 2011322
6 2005307
7 2001201
8 2013179
9 2007176
10 201596
11 201473
12 199470
13 201039
14 202038
15 201338
16 201036
17 201731
18 201431
19 201127
20 201825

About Suzanne Paradis

Suzanne Paradis is a scholar working on Cellular and Molecular Neuroscience, Molecular Biology, Electrical and Electronic Engineering, Polymers and Plastics and Materials Chemistry, having authored 56 papers that have together received 5.0k indexed citations. Recurring topics across this work include Neuroscience and Neuropharmacology Research (22 papers), Transition Metal Oxide Nanomaterials (13 papers), Axon Guidance and Neuronal Signaling (8 papers), Gas Sensing Nanomaterials and Sensors (7 papers), Advanced Memory and Neural Computing (6 papers), Retinal Development and Disorders (6 papers), Ion channel regulation and function (4 papers) and Optical Wireless Communication Technologies (4 papers). The work is most often cited by research in Aging (1.9k citations), Endocrine and Autonomic Systems (754 citations), Cellular and Molecular Neuroscience (1.1k citations), Developmental Neuroscience (194 citations) and Molecular Biology (2.3k citations). Suzanne Paradis has collaborated with scholars based in United States, Canada and France. Frequent co-authors include Gary Ruvkun, S Gottlieb, Garth I. Patterson, Heidi A. Tissenbaum, Scott Ogg, Linda Lee, Michael E. Greenberg, Graeme W. Davis, James H. Thomas and Michael Ailion. Their work appears in journals such as Neuron, Molecular and Cellular Neuroscience, Journal of Neuroscience, Scientific Reports and Applied Physics Letters.

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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