Chris J. McCabe

18 total papers · 820 total citations
13 papers, 673 citations indexed

About

Chris J. McCabe is a scholar working on Endocrinology, Diabetes and Metabolism, Molecular Biology and Pediatrics, Perinatology and Child Health. According to data from OpenAlex, Chris J. McCabe has authored 13 papers receiving a total of 673 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Endocrinology, Diabetes and Metabolism, 2 papers in Molecular Biology and 2 papers in Pediatrics, Perinatology and Child Health. Recurrent topics in Chris J. McCabe's work include Pituitary Gland Disorders and Treatments (6 papers), Thyroid Disorders and Treatments (4 papers) and Growth Hormone and Insulin-like Growth Factors (4 papers). Chris J. McCabe is often cited by papers focused on Pituitary Gland Disorders and Treatments (6 papers), Thyroid Disorders and Treatments (4 papers) and Growth Hormone and Insulin-like Growth Factors (4 papers). Chris J. McCabe collaborates with scholars based in United Kingdom, United States and Netherlands. Chris J. McCabe's co-authors include Шломо Мелмед, Anthony P. Heaney, Viera Nelson, Masahiro Nakashima, Jayne A. Franklyn, Neil Gittoes, Run Yu, Wenge Lu, Jiandong Chen and Kristien Boelaert and has published in prestigious journals such as The Lancet, Journal of Neuroscience and The Journal of Clinical Endocrinology & Metabolism.

In The Last Decade

Chris J. McCabe

13 papers receiving 662 citations

Author Peers

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

Author Last Decade Papers Cites
Chris J. McCabe 360 288 129 99 92 13 673
Zhiyong Wang 370 1.0× 224 0.8× 128 1.0× 54 0.5× 52 0.6× 18 576
Lawrence A. Greenstein 483 1.3× 395 1.4× 91 0.7× 64 0.6× 35 0.4× 13 667
J Zapf 299 0.8× 312 1.1× 131 1.0× 20 0.2× 44 0.5× 16 605
K Megyesi 325 0.9× 367 1.3× 118 0.9× 67 0.7× 51 0.6× 22 779
Sarah Lambert-Langlais 180 0.5× 312 1.1× 120 0.9× 138 1.4× 31 0.3× 12 618
Samantha Gadd 92 0.3× 482 1.7× 93 0.7× 30 0.3× 99 1.1× 24 731
Z. Kachra 147 0.4× 298 1.0× 200 1.6× 36 0.4× 141 1.5× 17 691
Jean‐Marc Ricort 301 0.8× 502 1.7× 96 0.7× 80 0.8× 90 1.0× 28 735
V Ilvesmäki 392 1.1× 242 0.8× 260 2.0× 13 0.1× 50 0.5× 13 712
Cora Groffen 484 1.3× 358 1.2× 130 1.0× 18 0.2× 35 0.4× 16 766

Countries citing papers authored by Chris J. McCabe

Since Specialization
Citations

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

Fields of papers citing papers by Chris J. McCabe

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Chris J. McCabe. 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 Chris J. McCabe. The network helps show where Chris J. McCabe may publish in the future.

Co-authorship network of co-authors of Chris J. McCabe

This figure shows the co-authorship network connecting the top 25 collaborators of Chris J. McCabe. A scholar is included among the top collaborators of Chris J. McCabe 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 Chris J. McCabe. Chris J. McCabe 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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