Frances E. Carr

1.9k citations
61 papers · 1.7k · h-index 24

Impact in

Papers in

Frances E. Carr

61 papers receiving 1.6k citations

Peers

Frances E. Carr
Comparison fields: 5 of 83
  • Endocrinology, Diabetes and Metabolism 895
  • Reproductive Medicine 102
  • Genetics 251
  • Molecular Biology 488
  • Cellular and Molecular Neuroscience 111
Replace Claude Trudel with:
Claude Trudel Canada
Mary Lynn Duckworth Canada
Huifen Zhao Canada
Frederick M. Stanley United States
Marit Bakke Norway
Rocío Sánchez Canada
Albert O. Brinkmann Netherlands
David F. Gordon United States
Shigekazu Sasaki Japan
IDA KOZAK MARIZ United States
Frances E. Carr relative to Claude Trudel Canada Claude Trudel's profile →
Citations per field
00.5×2×3×4×4.5×
Claude Trudel · 1×
Citations per year

Countries citing papers authored by Frances E. Carr

Since Specialization
Citations

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

Fields of papers citing papers by Frances E. Carr

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Frances E. Carr. 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 Frances E. Carr. The network helps show where Frances E. Carr may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 61 papers — load more, or switch the sort, to bring in the rest.

#Work
1 198992
2 198783
3 199382
4 198975
5 201875
6 199469
7 199667
8 199466
9 199462
10 201856
11 199155
12 199253
13 199151
14 198543
15 198543
16 199140
17 199240
18 198338
19 198436
20 198932

About Frances E. Carr

Frances E. Carr is a scholar working on Endocrinology, Diabetes and Metabolism, Cellular and Molecular Neuroscience, Genetics, Molecular Biology and Reproductive Medicine, having authored 61 papers that have together received 1.7k indexed citations. Recurring topics across this work include Thyroid Disorders and Treatments (24 papers), Thyroid Cancer Diagnosis and Treatment (12 papers), Estrogen and related hormone effects (10 papers), Neuropeptides and Animal Physiology (6 papers), Growth Hormone and Insulin-like Growth Factors (6 papers), Hypothalamic control of reproductive hormones (5 papers), Genomics and Chromatin Dynamics (5 papers) and Breast Cancer Treatment Studies (3 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (895 citations), Reproductive Medicine (102 citations), Genetics (251 citations), Molecular Biology (488 citations) and Cellular and Molecular Neuroscience (111 citations). Frances E. Carr has collaborated with scholars based in United States and Canada. Frequent co-authors include William W. Chin, Joan Burnside, Nicholas C. Wong, Douglas S. Darling, Robert C. Smallridge, Randal C. Jaffe, Brian L. Sprague, Henry G. Fein, Kenneth Dale Burman and Jack H. Oppenheimer. Their work appears in journals such as Endocrinology, Journal of Biological Chemistry, Molecular Endocrinology, Molecular and Cellular Endocrinology and Journal of Clinical Investigation.

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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