Caroline Buckway

1.2k total citations
16 papers, 891 citations indexed

About

Caroline Buckway is a scholar working on Endocrinology, Diabetes and Metabolism, Molecular Biology and Cardiology and Cardiovascular Medicine. According to data from OpenAlex, Caroline Buckway has authored 16 papers receiving a total of 891 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Endocrinology, Diabetes and Metabolism, 7 papers in Molecular Biology and 4 papers in Cardiology and Cardiovascular Medicine. Recurrent topics in Caroline Buckway's work include Growth Hormone and Insulin-like Growth Factors (16 papers), Lipid metabolism and disorders (4 papers) and Genetic Syndromes and Imprinting (3 papers). Caroline Buckway is often cited by papers focused on Growth Hormone and Insulin-like Growth Factors (16 papers), Lipid metabolism and disorders (4 papers) and Genetic Syndromes and Imprinting (3 papers). Caroline Buckway collaborates with scholars based in United States, Czechia and Italy. Caroline Buckway's co-authors include Ron G. Rosenfeld, Vivian Hwa, Katherine L. Pratt, Jaime Guevara‐Aguirre, Katie A. Woods, Brian M. Little, Eric M. Kofoed, Juan J. Heinrich, Junko Tsubaki and Liliana Bezrodnik and has published in prestigious journals such as New England Journal of Medicine, The Journal of Clinical Endocrinology & Metabolism and PEDIATRICS.

In The Last Decade

Caroline Buckway

16 papers receiving 870 citations

Peers

Caroline Buckway
Comparison fields: 5 of 63
  • Endocrinology, Diabetes and Metabolism 627
  • Molecular Biology 323
  • Genetics 304
  • Cardiology and Cardiovascular Medicine 179
  • Immunology 134
Replace Florence Dastot with:
Florence Dastot France
M Goossens France
Eiichi Kinoshita Japan
Cora Groffen Netherlands
H Stobbe Germany
Jean-Paul Beressi France
PE Lobie Australia
E. Futo Switzerland
Anita Maász Hungary
Pik To Cheung Hong Kong
Florence Dastot France View profile →
Citations per field, relative to Caroline Buckway
Caroline Buckway · 1×
Citations per year, relative to Caroline Buckway
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Countries citing papers authored by Caroline Buckway

Since Specialization
Citations

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

Fields of papers citing papers by Caroline Buckway

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Caroline Buckway

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

All Works

16 of 16 papers shown
# Work Indexed citations
1 10
2 8
3 22
4 37
5 35
6 390
7 27
8
IGF generation in short stature.
4
9 17
10 4
11 105
12 42
13 57
14 36
15 49
16 48

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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