Dan Miléa

8.8k citations
197 papers · 5.1k indexed · h-index 40

Dan Miléa

187 papers receiving 5.0k citations

Peers

Dan Miléa
Comparison fields: 5 of 144
  • Ophthalmology 2.0k
  • Neurology 905
  • Neurology 449
  • Endocrine and Autonomic Systems 367
  • Radiology, Nuclear Medicine and Imaging 1.2k
Replace Vincenzo Parisi with:
Vincenzo Parisi Italy
Randy H. Kardon United States
Chiara La Morgia Italy
Selim Orgül Switzerland
Daphne L. McCulloch United Kingdom
Mitchell Brigell United States
Irène Gottlob United Kingdom
Gordon T. Plant United Kingdom
Michael Belkin Israel
Paul L. Kaufman United States
Dan Miléa relative to Vincenzo Parisi Italy Vincenzo Parisi's profile →
Citations per field
00.5×1.5×2.1×
Vincenzo Parisi · 1×
Citations per year

Countries citing papers authored by Dan Miléa

Since Specialization
Citations

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

Fields of papers citing papers by Dan Miléa

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20250
2 20251
3 20251
4 202414
5 20240
6 20244
7 20241
8 20236
9 20238
10 20233
11 20227
12 20220
13
The drive for myopia control: interactions between bright light and optical refocus
20211
14 20211
15
Deep learning for automated quality assessment of optic disc images in neuro-ophthalmic conditions.
20210
16
Deep Learning OCT-based Detection and Quantification of Optic Disc Drusen allows Discrimination from True Papilledema
20201
17
Handheld chromatic pupillometry detects preclinical retinal dysfunction in patients with diabetes mellitus
20201
18 201917
19 2018105
20 201775

About Dan Miléa

Dan Miléa is a scholar working on Ophthalmology, Neurology and Endocrine and Autonomic Systems, having authored 197 papers that have together received 5.1k indexed citations. Recurring topics across this work include Glaucoma and retinal disorders (56 papers), Cerebral Venous Sinus Thrombosis (32 papers), Retinal Diseases and Treatments (31 papers), Retinal Imaging and Analysis (31 papers), Mitochondrial Function and Pathology (28 papers), Retinal and Optic Conditions (28 papers), Ophthalmology and Eye Disorders (23 papers) and ATP Synthase and ATPases Research (17 papers). The work is most often cited by research in Ophthalmology (2.0k citations), Neurology (905 citations) and Neurology (449 citations). Dan Miléa has collaborated with scholars based in Singapore, France and Denmark. Frequent co-authors include Charles Pierrot‐Deseilligny, C. Pierrot‐Deseilligny, Pascal Reynier, Patrizia Amati‐Bonneau, Raymond P. Najjar, Dominique Bonneau, Vincent Procaccio, Tin Aung, Birgit Sander and Guy Lenaers. Their work appears in journals such as Investigative Ophthalmology & Visual Science, British Journal of Ophthalmology, Acta Ophthalmologica, Frontiers in Neurology and Graefe s Archive for Clinical and Experimental Ophthalmology.

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026