Laura R. Pearce

2.9k citations
9 papers · 2.1k indexed · 1 hit paper · h-index 8
Topics
PI3K/AKT/mTOR signaling in cancer (5 papers)Protein Kinase Regulation and GTPase Signaling (4 papers)Mitochondrial Function and Pathology (2 papers)

In The Last Decade

Laura R. Pearce

9 papers receiving 2.1k citations

Hit Papers

The nuts and bolts of AGC protein kinases200920262014202020092505007501000

Peers

Laura R. Pearce
Comparison fields: 5 of 88
  • Molecular Biology 1.6k
  • Cell Biology 309
  • Physiology 190
  • Oncology 188
  • Genetics 167
Replace Greg M. Findlay with:
Greg M. Findlay United Kingdom
Sara Ortiz-Vega United States
Jeroen van der Kaay United Kingdom
Jessica J. Howell United States
Xin Gu United States
Jingxiang Huang Singapore
Débora Bonenfant Switzerland
Stephen R. James United Kingdom
Margaret A. Lawlor United Kingdom
Virginie Mieulet France
Laura R. Pearce relative to Greg M. Findlay United Kingdom Greg M. Findlay's profile →
Citations per field
00.5×1.5×2.2×
Greg M. Findlay · 1×
Citations per year

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
#WorkIndexed citations
1 34
2 2
3 52
4 128
5 148
6 211
7
The nuts and bolts of AGC protein kinasesbreakdown →
1003
8 156
9 356

About Laura R. Pearce

Laura R. Pearce is a scholar working on Endocrine and Autonomic Systems, Molecular Biology and Genetics, having authored 9 papers that have together received 2.1k indexed citations. Recurring topics across this 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). The work is most often cited by research in Molecular Biology (1.6k citations), Aging (37 citations) and Cell Biology (309 citations). Laura R. Pearce has collaborated with scholars based in United Kingdom, United States and France. Frequent co-authors include Dario R. Alessi, David Komander, Stephan Wullschleger, Juan Manuel García‐Martínez, Jérôme Boudeau, Adel F.M. Ibrahim, Robert Gourlay, Xu Huang, Rafał Pawłowski and Mária Deák. Their work appears in journals such as Journal of Clinical Investigation, Nature Reviews Molecular Cell Biology and Biochemical Journal.

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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