Caroline Buckway

21 total papers · 1.2k total citations
16 papers, 890 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 890 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 Argentina. Caroline Buckway's co-authors include Ron G. Rosenfeld, Vivian Hwa, Katherine L. Pratt, Jaime Guevara‐Aguirre, Eric M. Kofoed, Katie A. Woods, Brian M. Little, Junko Tsubaki, Juan J. Heinrich 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 869 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Caroline Buckway 627 323 304 179 134 16 890
Brian M. Little 537 0.9× 334 1.0× 333 1.1× 155 0.9× 211 1.6× 15 1.1k
Junko Tsubaki 386 0.6× 371 1.1× 234 0.8× 87 0.5× 131 1.0× 17 892
Dennis J. Chia 478 0.8× 385 1.2× 190 0.6× 98 0.5× 143 1.1× 33 936
Florence Dastot 764 1.2× 384 1.2× 486 1.6× 167 0.9× 63 0.5× 19 1.0k
Jun Lei 206 0.3× 352 1.1× 256 0.8× 80 0.4× 86 0.6× 16 986
Gabriella Wright 732 1.2× 462 1.4× 172 0.6× 115 0.6× 52 0.4× 9 999
Wen Y. Chen 570 0.9× 352 1.1× 210 0.7× 61 0.3× 44 0.3× 28 842
Cora Groffen 484 0.8× 358 1.1× 140 0.5× 81 0.5× 51 0.4× 16 766
C Camacho-Hübner 793 1.3× 411 1.3× 181 0.6× 108 0.6× 22 0.2× 16 1.0k
Seema Mohamed 388 0.6× 424 1.3× 128 0.4× 59 0.3× 56 0.4× 15 897

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

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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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