John R. Pooley

1.0k total citations
12 papers, 816 citations indexed

About

John R. Pooley is a scholar working on Genetics, Behavioral Neuroscience and Molecular Biology. According to data from OpenAlex, John R. Pooley has authored 12 papers receiving a total of 816 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Genetics, 6 papers in Behavioral Neuroscience and 5 papers in Molecular Biology. Recurrent topics in John R. Pooley's work include Stress Responses and Cortisol (6 papers), Estrogen and related hormone effects (6 papers) and Circadian rhythm and melatonin (3 papers). John R. Pooley is often cited by papers focused on Stress Responses and Cortisol (6 papers), Estrogen and related hormone effects (6 papers) and Circadian rhythm and melatonin (3 papers). John R. Pooley collaborates with scholars based in United Kingdom, United States and Denmark. John R. Pooley's co-authors include Stafford L. Lightman, Becky Conway-Campbell, Gordon L. Hager, Thomas A. Johnson, Mervyn McKenna, Małgorzata Wiench, Diana A. Stavreva, Sam John, Ty C. Voss and Yvonne M. Kershaw and has published in prestigious journals such as PLoS ONE, Nature Cell Biology and Biophysical Journal.

In The Last Decade

John R. Pooley

12 papers receiving 810 citations

Peers

John R. Pooley
Comparison fields: 5 of 71
  • Behavioral Neuroscience 319
  • Endocrinology, Diabetes and Metabolism 300
  • Molecular Biology 247
  • Genetics 222
  • Endocrine and Autonomic Systems 176
Nicola Romanò United Kingdom
Katherine L. Rosewell United States
Miklós Sárvári Hungary
Galyna Bondar United States
Olga Pernía Spain
Sophia V. Drouva France
Sheila J. Semaan United States
Siem van der Laan France
Naı̈ma Ismaı̈li United States
Richard A. Maki United States
Nicola Romanò United Kingdom View profile →
Citations per field, relative to John R. Pooley
John R. Pooley · 1×
Citations per year, relative to John R. Pooley
John R. Pooley · 1×

Countries citing papers authored by John R. Pooley

Since Specialization
Citations

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

Fields of papers citing papers by John R. Pooley

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of John R. Pooley

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

All Works

12 of 12 papers shown
# Title Journal Authors Indexed citations
1 Patterns of corticosterone exposure affect the subcellular localisation of mineralocorticoid and glucocorticoid receptor complexes and gene expression Steroids Federica Motta, Caroline Rivers et al. 2
2 Beyond the heterodimer model for mineralocorticoid and glucocorticoid receptor interactions in nuclei and at DNA PLoS ONE John R. Pooley, Caroline Rivers et al. 35
3 Gene Therapy for Glaucoma by Ciliary Body Aquaporin 1 Disruption Using CRISPR-Cas9 Molecular Therapy Jiahui Wu, David A. Copland et al. 61
4 Gene therapy for Glaucoma by CRISPR-Cas9 mediated disruption of Aquaporin 1 in the Ciliary Body Investigative Ophthalmology & Visual Science Colin J. Chu, Jiahui Wu et al. 1
5 Glucocorticoid Receptor–Tethered Mineralocorticoid Receptors Increase Glucocorticoid-Induced Transcriptional Responses Endocrinology Caroline Rivers, Mark F. Rogers et al. 38
6 Genome-Wide Identification of Basic Helix–Loop–Helix and NF-1 Motifs Underlying GR Binding Sites in Male Rat Hippocampus Endocrinology John R. Pooley, Lars Grøntved et al. 25
7 Structural Modeling of GR Interactions with the SWI/SNF Chromatin Remodeling Complex and C/EBP Biophysical Journal Serena Muratcioğlu, Diego M. Presman et al. 29
8 Live Cell Imaging Unveils Multiple Domain Requirements for In Vivo Dimerization of the Glucocorticoid Receptor PLoS Biology Diego M. Presman, Martín Stortz et al. 112
9 Molecular dynamics of ultradian glucocorticoid receptor action Molecular and Cellular Endocrinology Becky Conway-Campbell, John R. Pooley et al. 57
10 The HSP90 Molecular Chaperone Cycle Regulates Cyclical Transcriptional Dynamics of the Glucocorticoid Receptor and Its Coregulatory Molecules CBP/p300 During Ultradian Ligand Treatment Molecular Endocrinology Becky Conway-Campbell, Charlotte George et al. 52
11 Glucocorticoid Ultradian Rhythmicity Directs Cyclical Gene Pulsing of the Clock Gene Period 1 in Rat Hippocampus Journal of Neuroendocrinology Becky Conway-Campbell, R. Angela Sarabdjitsingh et al. 114
12 Ultradian hormone stimulation induces glucocorticoid receptor-mediated pulses of gene transcription Nature Cell Biology Diana A. Stavreva, Małgorzata Wiench et al. 290

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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