Nicholas R Hoyle

29 total papers · 1.1k total citations
20 papers, 822 citations indexed

About

Nicholas R Hoyle is a scholar working on Molecular Biology, Oncology and Orthopedics and Sports Medicine. According to data from OpenAlex, Nicholas R Hoyle has authored 20 papers receiving a total of 822 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Molecular Biology, 9 papers in Oncology and 8 papers in Orthopedics and Sports Medicine. Recurrent topics in Nicholas R Hoyle's work include Bone health and osteoporosis research (8 papers), Bone health and treatments (7 papers) and S100 Proteins and Annexins (4 papers). Nicholas R Hoyle is often cited by papers focused on Bone health and osteoporosis research (8 papers), Bone health and treatments (7 papers) and S100 Proteins and Annexins (4 papers). Nicholas R Hoyle collaborates with scholars based in United Kingdom, Germany and United States. Nicholas R Hoyle's co-authors include Richard Eastell, R.A. Hannon, J. A. Clowes, Aubrey Blumsohn, Elizabeth Leary, K.E. Naylor, Paweł Szulc, Philippe Vergnaud, Patrick Garnero and D. G. T. Thomas and has published in prestigious journals such as Journal of neurosurgery, Clinical Chemistry and Journal of Neurology Neurosurgery & Psychiatry.

In The Last Decade

Nicholas R Hoyle

20 papers receiving 805 citations

Hit Papers

Use of CTX-I and PINP as ... 2017 2026 2020 2023 2017 50 100 150 200

Author Peers

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

Author Last Decade Papers Cites
Nicholas R Hoyle 442 321 289 113 102 20 822
J Bernard 488 1.1× 262 0.8× 213 0.7× 135 1.2× 114 1.1× 24 844
W J Shih 449 1.0× 385 1.2× 247 0.9× 84 0.7× 111 1.1× 26 810
Zhiqi Peng 295 0.7× 276 0.9× 340 1.2× 71 0.6× 70 0.7× 19 869
S. Gonnelli 414 0.9× 236 0.7× 206 0.7× 112 1.0× 85 0.8× 18 737
S.H. Ralston 488 1.1× 350 1.1× 371 1.3× 100 0.9× 190 1.9× 35 1.0k
Elizabeth C. Wahl 279 0.6× 195 0.6× 409 1.4× 107 0.9× 64 0.6× 22 764
S. Adami 446 1.0× 295 0.9× 205 0.7× 104 0.9× 138 1.4× 25 933
Amy Y. Sato 334 0.8× 311 1.0× 551 1.9× 53 0.5× 56 0.5× 21 905
L G Raisz 236 0.5× 294 0.9× 458 1.6× 112 1.0× 72 0.7× 15 885
Diane M. Biskobing 201 0.5× 260 0.8× 387 1.3× 110 1.0× 54 0.5× 35 907

Countries citing papers authored by Nicholas R Hoyle

Since Specialization
Citations

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

Fields of papers citing papers by Nicholas R Hoyle

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Nicholas R Hoyle

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