Ward E. Shine

35 papers receiving 2.0k citations

Peers

Ward E. Shine
Comparison fields: 5 of 98
  • Ophthalmology 545
  • Public Health, Environmental and Occupational Health 1.5k
  • Pharmaceutical Science 222
  • Biochemistry 195
  • Dermatology 197
Replace G Agrup with:
G Agrup Sweden
Giovanni K. Zorzi Brazil
Bernard Plazonnet France
Angelo Spadaro Italy
Rita Oliveira Portugal
Qingqing Li China
Gagan Kaushal United States
Randa Mohammed Zaki Saudi Arabia
Stefania Pucciarelli Italy
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Citations per field
00.5×10×20×30×40×49.5×
G Agrup · 1×
Citations per year

Countries citing papers authored by Ward E. Shine

Since Specialization
Citations

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

Fields of papers citing papers by Ward E. Shine

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ward E. Shine. 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 Ward E. Shine. The network helps show where Ward E. Shine may publish in the future.

Co-authors

The 14 scholars most cited alongside Ward E. Shine, 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 Ward E. Shine Line = papers co-authored together Ward E. Shine links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 35 papers — load more, or switch the sort, to bring in the rest.

#Work
1
A compositional based model for the tear film lipid layer.
1997216
2 2003189
3 2003135
4 1998127
5 2003118
6
The role of cholesterol in chronic blepharitis.
1991114
7 197892
8 197486
9 200380
10 200679
11 200177
12 200074
13 199674
14 197674
15 200065
16
Role of wax ester fatty alcohols in chronic blepharitis.
199364
17 199864
18
Relation of cholesterol-stimulated Staphylococcus aureus growth to chronic blepharitis.
199363
19 200662
20 200660

About Ward E. Shine

Ward E. Shine is a scholar working on Public Health, Environmental and Occupational Health, Ophthalmology, Molecular Biology, Radiology, Nuclear Medicine and Imaging and Biochemistry, having authored 35 papers that have together received 2.2k indexed citations. Recurring topics across this work include Ocular Surface and Contact Lens (22 papers), Corneal Surgery and Treatments (6 papers), Glaucoma and retinal disorders (5 papers), Lipid metabolism and biosynthesis (4 papers), Plant biochemistry and biosynthesis (3 papers), Proteoglycans and glycosaminoglycans research (3 papers), Ocular Infections and Treatments (3 papers) and Fatty Acid Research and Health (2 papers). The work is most often cited by research in Ophthalmology (545 citations), Public Health, Environmental and Occupational Health (1.5k citations), Pharmaceutical Science (222 citations), Biochemistry (195 citations) and Dermatology (197 citations). Ward E. Shine has collaborated with scholars based in United States and Algeria. Frequent co-authors include James P. McCulley, P.K. Stumpf, J.P. McCulley, J.D. Aronowicz, Manuel Mancha, Amit G. Pandya, John B. Ohlrogge, Robert Silvany, W.David Loomis and Igor A. Butovich. Their work appears in journals such as Cornea, Archives of Biochemistry and Biophysics, Investigative Ophthalmology & Visual Science, Advances in experimental medicine and biology and Experimental Eye Research.

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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