Laura R. Pearce

2.9k total citations · 1 hit paper
9 papers, 2.1k citations indexed

About

Laura R. Pearce is a scholar working on Molecular Biology, Endocrine and Autonomic Systems and Oncology. According to data from OpenAlex, Laura R. Pearce has authored 9 papers receiving a total of 2.1k indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 2 papers in Endocrine and Autonomic Systems and 2 papers in Oncology. Recurrent topics in Laura R. Pearce's work include PI3K/AKT/mTOR signaling in cancer (5 papers), Protein Kinase Regulation and GTPase Signaling (4 papers) and Mitochondrial Function and Pathology (2 papers). Laura R. Pearce is often cited by papers focused on PI3K/AKT/mTOR signaling in cancer (5 papers), Protein Kinase Regulation and GTPase Signaling (4 papers) and Mitochondrial Function and Pathology (2 papers). Laura R. Pearce collaborates with scholars based in United Kingdom, United States and France. Laura R. Pearce's co-authors include Dario R. Alessi, David Komander, Stephan Wullschleger, Juan Manuel García‐Martínez, Adel F.M. Ibrahim, Jérôme Boudeau, Mária Deák, Rafał Pawłowski, Mark A. Magnuson and Xu Huang and has published in prestigious journals such as Journal of Clinical Investigation, Nature Reviews Molecular Cell Biology and Biochemical Journal.

In The Last Decade

Laura R. Pearce

9 papers receiving 2.1k citations

Hit Papers

The nuts and bolts of AGC protein kinases 2009 2026 2014 2020 2009 250 500 750 1000

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Laura R. Pearce United Kingdom 8 1.6k 309 190 188 167 9 2.1k
Greg M. Findlay United Kingdom 15 1.7k 1.0× 228 0.7× 261 1.4× 189 1.0× 122 0.7× 30 2.0k
Xin Gu United States 21 1.5k 0.9× 273 0.9× 228 1.2× 186 1.0× 105 0.6× 34 2.1k
Takayasu Kobayashi Japan 24 1.9k 1.1× 355 1.1× 115 0.6× 187 1.0× 147 0.9× 51 2.4k
Débora Bonenfant Switzerland 15 2.1k 1.3× 300 1.0× 128 0.7× 291 1.5× 151 0.9× 19 2.6k
Satoru Torii Japan 22 1.5k 0.9× 345 1.1× 121 0.6× 213 1.1× 126 0.8× 48 2.0k
Ariel F. Castro United States 20 1.3k 0.8× 243 0.8× 206 1.1× 364 1.9× 126 0.8× 46 1.7k
Elizabeth J. Ackermann United States 18 1.9k 1.2× 410 1.3× 250 1.3× 416 2.2× 224 1.3× 35 2.4k
Almut Dufner Switzerland 10 1.4k 0.8× 208 0.7× 136 0.7× 219 1.2× 79 0.5× 11 1.7k
Zhiping Wu United States 24 1.0k 0.6× 186 0.6× 198 1.0× 180 1.0× 135 0.8× 60 1.6k
Jeroen van der Kaay United Kingdom 18 2.0k 1.2× 534 1.7× 201 1.1× 239 1.3× 107 0.6× 26 2.6k

Countries citing papers authored by Laura R. Pearce

Since Specialization
Citations

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

Fields of papers citing papers by Laura R. Pearce

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Laura R. Pearce. 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 Laura R. Pearce. The network helps show where Laura R. Pearce may publish in the future.

Co-authorship network of co-authors of Laura R. Pearce

This figure shows the co-authorship network connecting the top 25 collaborators of Laura R. Pearce. A scholar is included among the top collaborators of Laura R. Pearce 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 Laura R. Pearce. Laura R. Pearce is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

9 of 9 papers shown
1.
Pearce, Laura R., Michael E. Doche, Hsiao-Wen Su, et al.. (2014). Functional Characterization of Obesity-Associated Variants Involving the α and β Isoforms of Human SH2B1. Endocrinology. 155(9). 3219–3226. 34 indexed citations
2.
Doche, Michael E., Elena G. Bochukova, Laura R. Pearce, et al.. (2013). Human SH2B1 mutations are associated with maladaptive behaviors and obesity. Journal of Clinical Investigation. 123(1). 526–526. 2 indexed citations
3.
Borman, Arundhati Dev, Laura R. Pearce, Donna S. Mackay, et al.. (2013). A Homozygous Mutation in theTUBGene Associated with Retinal Dystrophy and Obesity. Human Mutation. 35(3). 289–293. 52 indexed citations
4.
Doche, Michael E., Elena G. Bochukova, Hsiao-Wen Su, et al.. (2012). Human SH2B1 mutations are associated with maladaptive behaviors and obesity. Journal of Clinical Investigation. 122(12). 4732–4736. 128 indexed citations
5.
Pearce, Laura R., Eeva Sommer, Kei Sakamoto, Stephan Wullschleger, & Dario R. Alessi. (2011). Protor-1 is required for efficient mTORC2-mediated activation of SGK1 in the kidney. Biochemical Journal. 436(1). 169–179. 148 indexed citations
6.
Pearce, Laura R., Gordon Alton, Daniel T. Richter, et al.. (2010). Characterization of PF-4708671, a novel and highly specific inhibitor of p70 ribosomal S6 kinase (S6K1). Biochemical Journal. 431(2). 245–255. 211 indexed citations
7.
Alessi, Dario R., Laura R. Pearce, & Juan Manuel García‐Martínez. (2009). New Insights into mTOR Signaling: mTORC2 and Beyond. Science Signaling. 2(67). pe27–pe27. 156 indexed citations
8.
Pearce, Laura R., David Komander, & Dario R. Alessi. (2009). The nuts and bolts of AGC protein kinases. Nature Reviews Molecular Cell Biology. 11(1). 9–22. 1003 indexed citations breakdown →
9.
Pearce, Laura R., Xu Huang, Jérôme Boudeau, et al.. (2007). Identification of Protor as a novel Rictor-binding component of mTOR complex-2. Biochemical Journal. 405(3). 513–522. 356 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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