S. Uffer

1.9k citations
61 papers · 1.3k · h-index 19

Impact in

Papers in

S. Uffer

60 papers receiving 1.2k citations

Peers

S. Uffer
Comparison fields: 5 of 77
  • Ophthalmology 707
  • Radiology, Nuclear Medicine and Imaging 572
  • Dermatology 154
  • Oncology 202
  • Neurology 94
Replace Ewan Kemp with:
Ewan Kemp United Kingdom
Jerry A. Shields United States
Tatyana Milman United States
Geeta K. Vemuganti India
Hayyam Kıratlı Türkiye
Elmar P. Messmer Switzerland
A C McCartney United Kingdom
Claudia Auw‐Haedrich Germany
Carol L. Shields United States
Sang In Khwarg South Korea
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Citations per field
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Ewan Kemp · 1×
Citations per year

Countries citing papers authored by S. Uffer

Since Specialization
Citations

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

Fields of papers citing papers by S. Uffer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 61 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2009198
2
BIGH3 mutation spectrum in corneal dystrophies.
2002178
3 1998107
4 200486
5
On the role of kerato-epithelin in the pathogenesis of 5q31-linked corneal dystrophies.
199971
6 199358
7 198753
8
Systemic investigation of keratoepithelin deposits in TGFBI/BIGH3-related corneal dystrophy.
200639
9
Neuron-associated class III beta-tubulin isotype, microtubule-associated protein 2, and synaptophysin in human retinoblastomas in situ. Further immunohistochemical observations on the Flexner-Wintersteiner rosettes.
199137
10 200635
11 200932
12 200231
13 199229
14 199228
15 200923
16 200222
17 200020
18 200620
19 200818
20 199013

About S. Uffer

S. Uffer is a scholar working on Ophthalmology, Radiology, Nuclear Medicine and Imaging, Molecular Biology, Oncology and Genetics, having authored 61 papers that have together received 1.3k indexed citations. Recurring topics across this work include Ocular Oncology and Treatments (29 papers), Glaucoma and retinal disorders (10 papers), Corneal Surgery and Treatments (9 papers), Retinal Development and Disorders (7 papers), Retinal and Macular Surgery (6 papers), Cutaneous Melanoma Detection and Management (5 papers), Cancer-related Molecular Pathways (5 papers) and Retinal Diseases and Treatments (5 papers). The work is most often cited by research in Ophthalmology (707 citations), Radiology, Nuclear Medicine and Imaging (572 citations), Dermatology (154 citations), Oncology (202 citations) and Neurology (94 citations). S. Uffer has collaborated with scholars based in Switzerland, United States and France. Frequent co-authors include Manuel Deprez, Léonidas Zografos, E. Bovey, Farid Achache, Francis L. Munier, Daniel F. Schorderet, C Gailloud, Béatrice E. Frueh, Ming X. Wang and Carl P. Herbort. Their work appears in journals such as American Journal of Ophthalmology, Ophthalmology, Retina, Klinische Monatsblätter für Augenheilkunde and Cornea.

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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