Nathan Mitchell Kerr

2.1k citations
50 papers · 1.6k · h-index 22

Impact in

Papers in

Nathan Mitchell Kerr

47 papers receiving 1.5k citations

Peers

Nathan Mitchell Kerr
Comparison fields: 5 of 102
  • Ophthalmology 940
  • Radiology, Nuclear Medicine and Imaging 276
  • Neurology 66
  • Neurology 65
  • Molecular Biology 309
Replace Wen‐Qing Shi with:
Wen‐Qing Shi China
José Ramón Ara Callizo Spain
A. J. Green United States
Johnnie K. Bass United States
Ali Şengül Türkiye
Burcu Zeydan United States
Ugur Uygunoglu Türkiye
J.‐U. Stolzenburg Germany
Qian‐Min Ge China
Julie‐Anne Little United Kingdom
Nathan Mitchell Kerr relative to Wen‐Qing Shi China Wen‐Qing Shi's profile →
Citations per field
00.5×20×40×60×71.5×
Wen‐Qing Shi · 1×
Citations per year

Countries citing papers authored by Nathan Mitchell Kerr

Since Specialization
Citations

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

Fields of papers citing papers by Nathan Mitchell Kerr

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Nathan Mitchell Kerr. 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 Nathan Mitchell Kerr. The network helps show where Nathan Mitchell Kerr may publish in the future.

Co-authors

The 25 scholars most cited alongside Nathan Mitchell Kerr, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Nathan Mitchell Kerr Line = papers co-authored together Nathan Mitchell Kerr links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 50 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2013200
2 2012167
3 2009118
4 2012109
5 201490
6 201688
7 201078
8 201061
9 200954
10 201253
11 201350
12 200945
13 202045
14 201144
15 201040
16 201931
17 201029
18 201528
19 201527
20 200923

About Nathan Mitchell Kerr

Nathan Mitchell Kerr is a scholar working on Ophthalmology, Radiology, Nuclear Medicine and Imaging, Epidemiology, Genetics and Pathology and Forensic Medicine, having authored 50 papers that have together received 1.6k indexed citations. Recurring topics across this work include Glaucoma and retinal disorders (23 papers), Intraocular Surgery and Lenses (7 papers), Retinal Diseases and Treatments (5 papers), Ocular Infections and Treatments (4 papers), Connexins and lens biology (4 papers), Ophthalmology and Visual Impairment Studies (3 papers), Retinal and Macular Surgery (3 papers) and Ocular Surface and Contact Lens (2 papers). The work is most often cited by research in Ophthalmology (940 citations), Radiology, Nuclear Medicine and Imaging (276 citations), Neurology (66 citations), Neurology (65 citations) and Molecular Biology (309 citations). Nathan Mitchell Kerr has collaborated with scholars based in Australia, New Zealand and United Kingdom. Frequent co-authors include Helen Victoria Danesh-Meyer, Brendan J. T. Vote, Robin G. Abell, Colin Richard Green, Cameron S. Johnson, Keith Barton, Jing Wang, Shenton S.L. Chew, Mark Winskel and Penny Allen. Their work appears in journals such as Clinical and Experimental Ophthalmology, British Journal of Ophthalmology, Ophthalmology, American Journal of Ophthalmology and Journal of Cataract & Refractive Surgery.

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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