Caroline Rivers

831 citations
17 papers · 642 · h-index 12

Impact in

Papers in

    • RNA Research and Splicing 4
    • Genomics and Chromatin Dynamics 3
    • Melanoma and MAPK Pathways 2
    • Protein Tyrosine Phosphatases 2
    • Estrogen and related hormone effects 6

Caroline Rivers

17 papers receiving 637 citations

Peers

Caroline Rivers
Comparison fields: 5 of 72
  • Behavioral Neuroscience 64
  • Endocrinology, Diabetes and Metabolism 131
  • Immunology and Allergy 41
  • Cell Biology 116
  • Genetics 192
Replace Olga Villamar‐Cruz with:
Olga Villamar‐Cruz Mexico
Rhian F. Walther United Kingdom
Neal Copeland United States
H Saito Japan
Peter S. Budd United Kingdom
Bernadette C. Holdener United States
Julian Petersen Germany
Saishu Yoshida Japan
L. Frati Italy
Olivier Goupille France
Caroline Rivers relative to Olga Villamar‐Cruz Mexico Olga Villamar‐Cruz's profile →
Citations per field
00.5×2.8×
Olga Villamar‐Cruz · 1×
Citations per year

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-authors

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

All Works

17 of 17 papers shown
#Work
1 1997118
2 1999112
3 200882
4 200864
5 201941
6 202036
7 201634
8 201132
9 201230
10 201725
11 201522
12 200914
13 202210
14 20087
15 20007
16 20204
17 20244

About Caroline Rivers

Caroline Rivers is a scholar working on Molecular Biology, Genetics, Oncology, Endocrinology, Diabetes and Metabolism and Immunology, having authored 17 papers that have together received 642 indexed citations. Recurring topics across this work include Estrogen and related hormone effects (6 papers), Cytokine Signaling Pathways and Interactions (4 papers), RNA Research and Splicing (4 papers), Genomics and Chromatin Dynamics (3 papers), Hormonal Regulation and Hypertension (3 papers), Stress Responses and Cortisol (2 papers), Melanoma and MAPK Pathways (2 papers) and Protein Tyrosine Phosphatases (2 papers). The work is most often cited by research in Behavioral Neuroscience (64 citations), Endocrinology, Diabetes and Metabolism (131 citations), Immunology and Allergy (41 citations), Cell Biology (116 citations) and Genetics (192 citations). Caroline Rivers has collaborated with scholars based in United Kingdom, United States and Denmark. Frequent co-authors include M. R. Norman, Stafford L. Lightman, Christopher J. Caunt, Craig A. McArdle, Andrew Levy, Jerry Hancock, Becky Conway-Campbell, Stephen P. Armstrong, John R. Pooley and James B. Uney. Their work appears in journals such as Endocrinology, Journal of Biological Chemistry, PLoS ONE, Bone and BMC Biology.

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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