Daniel M. Taylor

1.4k citations
68 papers · 1.1k · h-index 18

Impact in

Papers in

Daniel M. Taylor

62 papers receiving 948 citations

Peers

Daniel M. Taylor
Comparison fields: 5 of 123
  • Ophthalmology 616
  • Radiology, Nuclear Medicine and Imaging 667
  • Public Health, Environmental and Occupational Health 162
  • Epidemiology 150
  • Nature and Landscape Conservation 37
Replace Julia A. Beiser with:
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Yin Hu China
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Citations per field
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Citations per year

Countries citing papers authored by Daniel M. Taylor

Since Specialization
Citations

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

Fields of papers citing papers by Daniel M. Taylor

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Daniel M. Taylor. 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 Daniel M. Taylor. The network helps show where Daniel M. Taylor may publish in the future.

Co-authors

The 25 scholars most cited alongside Daniel M. Taylor, 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 Daniel M. Taylor Line = papers co-authored together Daniel M. Taylor links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 68 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1989140
2 1990136
3 1983110
4 198156
5 198855
6 198654
7 197448
8 197647
9 198437
10 197630
11 197126
12 197926
13
Tissue plasminogen activator activity in human aqueous humor.
199423
14 197422
15 198021
16 196718
17 197317
18 198917
19 200016
20 197716

About Daniel M. Taylor

Daniel M. Taylor is a scholar working on Ophthalmology, Radiology, Nuclear Medicine and Imaging, Ecology, Epidemiology and Public Health, Environmental and Occupational Health, having authored 68 papers that have together received 1.1k indexed citations. Recurring topics across this work include Corneal surgery and disorders (15 papers), Intraocular Surgery and Lenses (11 papers), Corneal Surgery and Treatments (7 papers), Glaucoma and retinal disorders (6 papers), Ocular Surface and Contact Lens (5 papers), Ophthalmology and Visual Impairment Studies (4 papers), Calibration and Measurement Techniques (4 papers) and Avian ecology and behavior (4 papers). The work is most often cited by research in Ophthalmology (616 citations), Radiology, Nuclear Medicine and Imaging (667 citations), Public Health, Environmental and Occupational Health (162 citations), Epidemiology (150 citations) and Nature and Landscape Conservation (37 citations). Daniel M. Taylor has collaborated with scholars based in United States, United Kingdom and Italy. Frequent co-authors include Francis A. L'Espérance, J. W. Warner, Gordon K. Klintworth, Kenneth Romanchuk, Page W. Morgan, H. F. Fraser, Robert E. Cone, James O’Rourke, David M. Smalley and John Fitzgerald. Their work appears in journals such as American Journal of Ophthalmology, Laboratory Animals, Ophthalmology, Ophthalmic surgery, lasers & imaging retina and Mind.

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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