Julia Mai

586 citations
30 papers · 395 · h-index 11

Impact in

Papers in

Julia Mai

28 papers receiving 395 citations

Peers

Julia Mai
Comparison fields: 5 of 35
  • Ophthalmology 230
  • Radiology, Nuclear Medicine and Imaging 166
  • Pulmonary and Respiratory Medicine 40
  • Biophysics 5
  • Health Informatics 1
Replace Ermete Giancipoli with:
Ermete Giancipoli Italy
Tina Herold Germany
Dmitrii Lachinov Austria
Duriye Damla Sevgi United States
Paola Marolo Italy
Sławomir Teper Poland
Michael Dubow United States
Peter A. Nixon United States
Timothy H. M. Fung United Kingdom
Aziz A. Khanifar United States
Julia Mai relative to Ermete Giancipoli Italy Ermete Giancipoli's profile →
Citations per field
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Ermete Giancipoli · 1×
Citations per year

Countries citing papers authored by Julia Mai

Since Specialization
Citations

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

Fields of papers citing papers by Julia Mai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 30 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202277
2 201860
3 202254
4 202232
5 202327
6 202421
7 202220
8 202317
9 202413
10 202411
11 202410
12 20249
13 20246
14 20246
15 20245
16 20244
17 20244
18 20233
19 20243
20
Identification of initial events leading to outer retinal atrophy in age-related macular degeneration using deep learning quantifications
20212

About Julia Mai

Julia Mai is a scholar working on Ophthalmology, Radiology, Nuclear Medicine and Imaging, Biomedical Engineering, Pulmonary and Respiratory Medicine and Epidemiology, having authored 30 papers that have together received 395 indexed citations. Recurring topics across this work include Retinal Diseases and Treatments (17 papers), Retinal Imaging and Analysis (11 papers), Optical Coherence Tomography Applications (5 papers), Retinal and Optic Conditions (4 papers), Acute Ischemic Stroke Management (3 papers), Glaucoma and retinal disorders (2 papers), Digital Imaging for Blood Diseases (1 paper) and Obstructive Sleep Apnea Research (1 paper). The work is most often cited by research in Ophthalmology (230 citations), Radiology, Nuclear Medicine and Imaging (166 citations), Pulmonary and Respiratory Medicine (40 citations), Biophysics (5 citations) and Health Informatics (1 citation). Julia Mai has collaborated with scholars based in Austria, Switzerland and United Kingdom. Frequent co-authors include Hrvoje Bogunović, Ursula Schmidt‐Erfurth, Sophie Riedl, Gregor S. Reiter, Dmitrii Lachinov, Wolf‐Dieter Vogl, Alex McKeown, Christoph Grechenig, Tom Hilbert and Elisabeth Weiland. Their work appears in journals such as Investigative Ophthalmology & Visual Science, Ophthalmology Retina, Scientific Reports, Translational Vision Science & Technology and IEEE Transactions on Medical Imaging.

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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