Frances E. Carr

2.0k citations
61 papers · 1.7k · h-index 25

Impact in

Papers in

Frances E. Carr

61 papers receiving 1.6k citations

Peers

Frances E. Carr
Comparison fields: 5 of 100
  • Endocrinology, Diabetes and Metabolism 892
  • Reproductive Medicine 267
  • Behavioral Neuroscience 48
  • Genetics 371
  • Molecular Biology 564
Replace G. Veyssière with:
G. Veyssière France
E. L. Hooghe‐Peters Belgium
May C. Robertson Canada
Donald J. Gruol United States
Varadaraj Chandrashekar United States
Antoine Martinez France
Nobuyuki Shibusawa Japan
Leslie P. Bullock United States
J. Lino Barañao Argentina
B. K. Lucas France
Frances E. Carr relative to G. Veyssière France G. Veyssière's profile →
Citations per field
00.5×1.5×2.3×
G. Veyssière · 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 198994
2 198785
3 199384
4 198977
5 199468
6 201867
7 199467
8 199463
9 199661
10 199255
11 199154
12 201852
13 199152
14 198544
15 198544
16 199141
17 199240
18 198338
19 198436
20 198933

About Frances E. Carr

Frances E. Carr is a scholar working on Endocrinology, Diabetes and Metabolism, Molecular Biology, Reproductive Medicine, Cellular and Molecular Neuroscience and Genetics, having authored 61 papers that have together received 1.7k indexed citations. Recurring topics across this work include Thyroid Disorders and Treatments (20 papers), Growth Hormone and Insulin-like Growth Factors (18 papers), Hypothalamic control of reproductive hormones (12 papers), Neuropeptides and Animal Physiology (9 papers), Thyroid Cancer Diagnosis and Treatment (8 papers), Estrogen and related hormone effects (6 papers), Cancer-related Molecular Pathways (6 papers) and Adipose Tissue and Metabolism (4 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (892 citations), Reproductive Medicine (267 citations), Behavioral Neuroscience (48 citations), Genetics (371 citations) and Molecular Biology (564 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, Henry G. Fein, Kenneth D. Burman, Jack H. Oppenheimer and Brian L. Sprague. Their work appears in journals such as Endocrinology, Journal of Biological Chemistry, Molecular Endocrinology, Molecular and Cellular Endocrinology and Thyroid.

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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