Caroline Rivers

820 total citations
17 papers, 632 citations indexed

About

Caroline Rivers is a scholar working on Molecular Biology, Genetics and Oncology. According to data from OpenAlex, Caroline Rivers has authored 17 papers receiving a total of 632 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Molecular Biology, 7 papers in Genetics and 4 papers in Oncology. Recurrent topics in Caroline Rivers's work include Estrogen and related hormone effects (6 papers), RNA Research and Splicing (4 papers) and Cytokine Signaling Pathways and Interactions (4 papers). Caroline Rivers is often cited by papers focused on Estrogen and related hormone effects (6 papers), RNA Research and Splicing (4 papers) and Cytokine Signaling Pathways and Interactions (4 papers). Caroline Rivers collaborates with scholars based in United Kingdom, United States and Malaysia. Caroline Rivers's co-authors include M. R. Norman, Stafford L. Lightman, Christopher J. Caunt, Craig A. McArdle, Becky Conway-Campbell, Andrew Levy, Jerry Hancock, Stephen P. Armstrong, John R. Pooley and James B. Uney and has published in prestigious journals such as Journal of Biological Chemistry, PLoS ONE and The Journal of Clinical Endocrinology & Metabolism.

In The Last Decade

Caroline Rivers

17 papers receiving 627 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Caroline Rivers United Kingdom 12 314 196 134 116 66 17 632
Neal Copeland United States 7 441 1.4× 157 0.8× 31 0.2× 28 0.2× 60 0.9× 8 661
Anne Guiochon‐Mantel France 18 473 1.5× 356 1.8× 374 2.8× 41 0.4× 101 1.5× 24 1.3k
Melissa P. Allen United States 8 313 1.0× 105 0.5× 46 0.3× 54 0.5× 250 3.8× 9 652
Jacob Kach United States 15 660 2.1× 231 1.2× 89 0.7× 174 1.5× 61 0.9× 20 1.1k
H Saito Japan 12 252 0.8× 108 0.6× 28 0.2× 36 0.3× 75 1.1× 13 672
Peter S. Budd United Kingdom 10 374 1.2× 156 0.8× 47 0.4× 426 3.7× 68 1.0× 18 740
Scott Foster United States 11 158 0.5× 48 0.2× 18 0.1× 122 1.1× 56 0.8× 11 440
S L Fitzpatrick United States 11 717 2.3× 497 2.5× 178 1.3× 153 1.3× 216 3.3× 11 1.4k
Nazneen Aziz United States 9 309 1.0× 133 0.7× 119 0.9× 73 0.6× 72 1.1× 15 749
Birgit Jehn Germany 13 601 1.9× 145 0.7× 32 0.2× 86 0.7× 157 2.4× 14 938

Countries citing papers authored by Caroline Rivers

Since Specialization
Citations

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

Fields of papers citing papers by Caroline Rivers

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Caroline Rivers

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

All Works

17 of 17 papers shown
1.
2.
Rivers, Caroline, Matthew T. Birnie, Andrew Herman, et al.. (2022). Identification of a novel GR-ARID1a-P53BP1 protein complex involved in DNA damage repair and cell cycle regulation. Oncogene. 41(50). 5347–5360. 9 indexed citations
3.
Pooley, John R., Caroline Rivers, Yvonne M. Kershaw, et al.. (2020). Beyond the heterodimer model for mineralocorticoid and glucocorticoid receptor interactions in nuclei and at DNA. PLoS ONE. 15(1). e0227520–e0227520. 35 indexed citations
4.
Kemp, Kevin, Helen L. Scott, Caroline Rivers, et al.. (2020). Abnormal scaffold attachment factor 1 expression and localization in spinocerebellar ataxias and Huntington’s chorea. Brain Pathology. 30(6). 1041–1055. 4 indexed citations
5.
Rivers, Caroline, et al.. (2019). Glucocorticoid Receptor–Tethered Mineralocorticoid Receptors Increase Glucocorticoid-Induced Transcriptional Responses. Endocrinology. 160(5). 1044–1056. 38 indexed citations
6.
Pooley, John R., Lars Grøntved, Songjoon Baek, et al.. (2017). Genome-Wide Identification of Basic Helix–Loop–Helix and NF-1 Motifs Underlying GR Binding Sites in Male Rat Hippocampus. Endocrinology. 158(5). 1486–1501. 25 indexed citations
7.
Norman, M. R., Caroline Rivers, Youn‐Bok Lee, Jalilah Idris, & James B. Uney. (2016). The increasing diversity of functions attributed to the SAFB family of RNA-/DNA-binding proteins. Biochemical Journal. 473(23). 4271–4288. 34 indexed citations
8.
Rivers, Caroline, Jalilah Idris, Helen L. Scott, et al.. (2015). iCLIP identifies novel roles for SAFB1 in regulating RNA processing and neuronal function. BMC Biology. 13(1). 111–111. 22 indexed citations
9.
Szemes, Marianna, Anthony R. Dallosso, Zsombor Melegh, et al.. (2012). Control of epigenetic states by WT1 via regulation of de novo DNA methyltransferase 3A. Human Molecular Genetics. 22(1). 74–83. 30 indexed citations
10.
Matthews, Laura, James R. Johnson, Andrew Berry, et al.. (2011). Cell Cycle Phase Regulates Glucocorticoid Receptor Function. PLoS ONE. 6(7). e22289–e22289. 32 indexed citations
11.
Rivers, Caroline, Andrea Flynn, Xiaoxiao Qian, et al.. (2009). Characterization of Conserved Tandem Donor Sites and Intronic Motifs Required for Alternative Splicing in Corticosteroid Receptor Genes. Endocrinology. 150(11). 4958–4967. 14 indexed citations
12.
Caunt, Christopher J., Stephen P. Armstrong, Caroline Rivers, M. R. Norman, & Craig A. McArdle. (2008). Spatiotemporal Regulation of ERK2 by Dual Specificity Phosphatases. Journal of Biological Chemistry. 283(39). 26612–26623. 81 indexed citations
13.
Maru, B., Jonathan H. Tobias, Caroline Rivers, et al.. (2008). Potential use of an estrogen–glucocorticoid receptor chimera as a drug screen for tissue selective estrogenic activity. Bone. 44(1). 102–112. 7 indexed citations
14.
Caunt, Christopher J., Caroline Rivers, Becky Conway-Campbell, M. R. Norman, & Craig A. McArdle. (2008). Epidermal Growth Factor Receptor and Protein Kinase C Signaling to ERK2. Journal of Biological Chemistry. 283(10). 6241–6252. 64 indexed citations
15.
Rivers, Caroline & M. R. Norman. (2000). The human growth hormone receptor gene — characterisation of the liver-specific promoter. Molecular and Cellular Endocrinology. 160(1-2). 51–59. 7 indexed citations
16.
Rivers, Caroline, Andrew Levy, Jerry Hancock, Stafford L. Lightman, & M. R. Norman. (1999). Insertion of an Amino Acid in the DNA-Binding Domain of the Glucocorticoid Receptor as a Result of Alternative Splicing. The Journal of Clinical Endocrinology & Metabolism. 84(11). 4283–4286. 111 indexed citations
17.
Hovnanian, Alain, Ariane Rochat, Christine Bodemer, et al.. (1997). Characterization of 18 New Mutations in COL7A1 in Recessive Dystrophic Epidermolysis Bullosa Provides Evidence for Distinct Molecular Mechanisms Underlying Defective Anchoring Fibril Formation. The American Journal of Human Genetics. 61(3). 599–610. 117 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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