Mark Daniell

3.6k citations
77 papers · 2.4k · h-index 26

Impact in

Papers in

Mark Daniell

72 papers receiving 2.3k citations

Peers

Mark Daniell
Comparison fields: 5 of 111
  • Ophthalmology 714
  • Radiology, Nuclear Medicine and Imaging 905
  • Public Health, Environmental and Occupational Health 615
  • Dermatology 74
  • Molecular Medicine 43
Replace Lucia Kuffová with:
Lucia Kuffová United Kingdom
Joseph Frucht‐Pery Israel
Martin S. Spitzer Germany
David Callanan United States
Richard A. Eiferman United States
Christoph Fiehn Germany
Naoshi Shinozaki Japan
Bernard E. McCarey United States
Lingam Gopal India
J. P. Vannier France
Mark Daniell relative to Lucia Kuffová United Kingdom Lucia Kuffová's profile →
Citations per field
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Lucia Kuffová · 1×
Citations per year

Countries citing papers authored by Mark Daniell

Since Specialization
Citations

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

Fields of papers citing papers by Mark Daniell

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 77 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1991276
2 2000151
3 2001150
4 2013120
5 2015119
6 200799
7 200786
8 200580
9 200678
10 201476
11 202169
12 200168
13 200161
14 201357
15 200256
16 201654
17 201454
18 201047
19 201847
20 201347

About Mark Daniell

Mark Daniell is a scholar working on Radiology, Nuclear Medicine and Imaging, Ophthalmology, Public Health, Environmental and Occupational Health, Epidemiology and Endocrinology, Diabetes and Metabolism, having authored 77 papers that have together received 2.4k indexed citations. Recurring topics across this work include Corneal surgery and disorders (27 papers), Corneal Surgery and Treatments (20 papers), Ocular Surface and Contact Lens (18 papers), Retinal Diseases and Treatments (9 papers), Glaucoma and retinal disorders (8 papers), Ocular Infections and Treatments (8 papers), Intraocular Surgery and Lenses (3 papers) and Complement system in diseases (3 papers). The work is most often cited by research in Ophthalmology (714 citations), Radiology, Nuclear Medicine and Imaging (905 citations), Public Health, Environmental and Occupational Health (615 citations), Dermatology (74 citations) and Molecular Medicine (43 citations). Mark Daniell has collaborated with scholars based in Australia, United Kingdom and United States. Frequent co-authors include Hugh R. Taylor, Grant R. Snibson, Srujana Sahebjada, Paul N. Baird, Laurence Sullivan, Karl David Brown, Daniel J. McCarty, Elsie Chan, Geoffrey W. Stevens and Greg G. Qiao. Their work appears in journals such as Clinical and Experimental Ophthalmology, Ophthalmology, Investigative Ophthalmology & Visual Science, British Journal of Ophthalmology and Tissue Engineering Part A.

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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