Christopher R. McKenna

18 total papers · 893 total citations
9 papers, 733 citations indexed

About

Christopher R. McKenna is a scholar working on Oncology, Molecular Biology and Pharmacology. According to data from OpenAlex, Christopher R. McKenna has authored 9 papers receiving a total of 733 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Oncology, 6 papers in Molecular Biology and 1 paper in Pharmacology. Recurrent topics in Christopher R. McKenna's work include Bone health and treatments (5 papers), TGF-β signaling in diseases (4 papers) and Bone Metabolism and Diseases (4 papers). Christopher R. McKenna is often cited by papers focused on Bone health and treatments (5 papers), TGF-β signaling in diseases (4 papers) and Bone Metabolism and Diseases (4 papers). Christopher R. McKenna collaborates with scholars based in United States, France and Canada. Christopher R. McKenna's co-authors include Theresa A. Guise, Khalid S. Mohammad, Pierrick G.J. Fournier, Maria Niewolna, Xiang Peng, Lauren K. Dunn, Alain Mauviel, Delphine Javelaud, Holly W. Davis and John M. Chirgwin and has published in prestigious journals such as PLoS ONE, Cancer Research and Journal of Bone and Mineral Research.

In The Last Decade

Christopher R. McKenna

9 papers receiving 723 citations

Author Peers

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

Author Last Decade Papers Cites
Christopher R. McKenna 462 423 146 75 59 9 733
Valerie A. Siclari 338 0.7× 279 0.7× 119 0.8× 90 1.2× 42 0.7× 10 653
Mark D. Hjelmeland 542 1.2× 245 0.6× 144 1.0× 80 1.1× 99 1.7× 8 781
Shyam Kumar Gudey 645 1.4× 251 0.6× 182 1.2× 81 1.1× 85 1.4× 10 850
Antonio Cardesa 337 0.7× 338 0.8× 179 1.2× 72 1.0× 38 0.6× 10 693
Yabing Mu 563 1.2× 214 0.5× 158 1.1× 69 0.9× 78 1.3× 15 769
Michelle D. Martin 348 0.8× 499 1.2× 375 2.6× 88 1.2× 63 1.1× 14 796
Sharon A. Vantyghem 294 0.6× 376 0.9× 193 1.3× 58 0.8× 49 0.8× 10 687
L. G. Bobrow 309 0.7× 420 1.0× 294 2.0× 61 0.8× 89 1.5× 13 708
Marilyn Skelly 384 0.8× 222 0.5× 122 0.8× 101 1.3× 100 1.7× 12 796
Juergen Mestan 437 0.9× 184 0.4× 162 1.1× 73 1.0× 30 0.5× 11 667

Countries citing papers authored by Christopher R. McKenna

Since Specialization
Citations

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

Fields of papers citing papers by Christopher R. McKenna

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Christopher R. McKenna. 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 Christopher R. McKenna. The network helps show where Christopher R. McKenna may publish in the future.

Co-authorship network of co-authors of Christopher R. McKenna

This figure shows the co-authorship network connecting the top 25 collaborators of Christopher R. McKenna. A scholar is included among the top collaborators of Christopher R. McKenna 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 Christopher R. McKenna. Christopher R. McKenna 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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