Nicholas Maycock

1.0k total citations · 1 hit paper
10 papers, 742 citations indexed

About

Nicholas Maycock is a scholar working on Ophthalmology, Radiology, Nuclear Medicine and Imaging and Health. According to data from OpenAlex, Nicholas Maycock has authored 10 papers receiving a total of 742 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Ophthalmology, 4 papers in Radiology, Nuclear Medicine and Imaging and 2 papers in Health. Recurrent topics in Nicholas Maycock's work include Corneal surgery and disorders (4 papers), Corneal Surgery and Treatments (3 papers) and Retinal Diseases and Treatments (2 papers). Nicholas Maycock is often cited by papers focused on Corneal surgery and disorders (4 papers), Corneal Surgery and Treatments (3 papers) and Retinal Diseases and Treatments (2 papers). Nicholas Maycock collaborates with scholars based in United Kingdom and Australia. Nicholas Maycock's co-authors include R Jayaswal, David O’Brart, Cheryl MacGregor, Susan Lightman, Chun Ho Lau, Peter McCluskey, John Marshall, Harry Roberts, C.C. Hull and Christina Rennie and has published in prestigious journals such as Ophthalmology, Survey of Ophthalmology and Cornea.

In The Last Decade

Nicholas Maycock

10 papers receiving 719 citations

Hit Papers

A review of keratoconus: Diagnosis, pathophysiology, and ... 2017 2026 2020 2023 2017 100 200 300

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Nicholas Maycock United Kingdom 8 466 395 246 121 76 10 742
Darwin Minassian United Kingdom 15 689 1.5× 311 0.8× 313 1.3× 211 1.7× 100 1.3× 21 845
Elvin Yıldız Türkiye 18 438 0.9× 389 1.0× 372 1.5× 39 0.3× 29 0.4× 42 721
Parveen K. Nagra United States 22 678 1.5× 661 1.7× 424 1.7× 50 0.4× 49 0.6× 56 1.1k
Ilse Claerhout Belgium 15 411 0.9× 365 0.9× 303 1.2× 150 1.2× 75 1.0× 36 763
Panida Kosrirukvongs Thailand 13 317 0.7× 255 0.6× 271 1.1× 80 0.7× 45 0.6× 29 553
R Jayaswal United Kingdom 6 298 0.6× 335 0.8× 218 0.9× 121 1.0× 67 0.9× 20 544
Fu‐Chin Huang Taiwan 12 253 0.5× 169 0.4× 204 0.8× 74 0.6× 72 0.9× 26 561
Joseph P. Shovlin United States 10 223 0.5× 234 0.6× 320 1.3× 28 0.2× 39 0.5× 18 454
Min-Hsiu Shih Taiwan 10 169 0.4× 115 0.3× 126 0.5× 54 0.4× 50 0.7× 16 343
T. Gaujoux France 11 349 0.7× 321 0.8× 177 0.7× 31 0.3× 20 0.3× 26 489

Countries citing papers authored by Nicholas Maycock

Since Specialization
Citations

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

Fields of papers citing papers by Nicholas Maycock

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Nicholas Maycock

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

All Works

10 of 10 papers shown
1.
O’Brart, David, et al.. (2019). Effects of intraocular lens glistenings on visual function: a prospective study and presentation of a new glistenings grading methodology. BMJ Open Ophthalmology. 4(1). e000266–e000266. 16 indexed citations
2.
MacGregor, Cheryl, et al.. (2017). A review of keratoconus: Diagnosis, pathophysiology, and genetics. Survey of Ophthalmology. 62(6). 770–783. 311 indexed citations breakdown →
3.
Maycock, Nicholas & R Jayaswal. (2016). Update on Acanthamoeba Keratitis. Cornea. 35(5). 713–720. 155 indexed citations
4.
Roberts, Harry, Nicholas Maycock, & David O’Brart. (2016). Late Stromal Rejection in Deep Anterior Lamellar Keratoplasty. Cornea. 35(9). 1179–1181. 16 indexed citations
5.
Maycock, Nicholas, et al.. (2015). Long term patient-reported benefit from ptosis surgery. Eye. 29(7). 872–874. 8 indexed citations
6.
Maycock, Nicholas & John Marshall. (2013). Genomics of corneal wound healing: a review of the literature. Acta Ophthalmologica. 92(3). 43 indexed citations
7.
Rennie, Christina, et al.. (2007). Age-related macular degeneration: what do patients find on the internet?. Journal of the Royal Society of Medicine. 100(10). 473–477. 7 indexed citations
8.
Rennie, Christina, et al.. (2007). Age-related macular degeneration: what do patients find on the internet?. Journal of the Royal Society of Medicine. 100(10). 473–477. 9 indexed citations
9.
Lau, Chun Ho, et al.. (2005). Outcome of Intravitreal Triamcinolone in Uveitis. Ophthalmology. 112(11). 1916.e1–1916.e7. 176 indexed citations
10.
Andrews, Richard M., et al.. (2005). Effectiveness of Intravitreal Triamcinolone Acetate in Refractory Uveitic Cystoid Macular Oedema. 46(13). 2828–2828. 1 indexed citations

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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