Felix Graßmann

5.8k citations
68 papers · 1.9k indexed · 1 hit paper · h-index 25

Impact in

Papers in

    • Retinal Diseases and Treatments 30
    • Ocular Diseases and Behçet’s Syndrome 7
    • Genetic Associations and Epidemiology 8
    • BRCA gene mutations in cancer 7

Felix Graßmann

64 papers receiving 1.9k citations

Hit Papers

A Deep Learning Algorithm for Prediction of Age-Related Eye Disease Study Severity Scale for Age-Related Macular Degeneration from Color Fundus Photography 2018 · 369 citations
3692018202620202023100200300

Peers

Felix Graßmann
Comparison fields: 5 of 113
  • Ophthalmology 1.1k
  • Radiology, Nuclear Medicine and Imaging 739
  • Neurology 98
  • Cancer Research 166
  • Molecular Biology 756
Replace Darby J. S. Thompson with:
Darby J. S. Thompson United States
Yan Luo China
Michael J. Allingham United States
Paolo S. Silva United States
Monika Fleckenstein Germany
Kylee L. Spencer United States
John V. Forrester United Kingdom
Ron Margolis United States
Dennis M. Marcus United States
Deborah J. Wong United States
Felix Graßmann relative to Darby J. S. Thompson United States Darby J. S. Thompson's profile →
Citations per field
00.5×3.9×
Darby J. S. Thompson · 1×
Citations per year

Countries citing papers authored by Felix Graßmann

Since Specialization
Citations

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

Fields of papers citing papers by Felix Graßmann

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20250
2 20241
3 202319
4 20234
5 20232
6 20229
7 20229
8 20225
9 20219
10 202021
11 201934
12 201937
13 201940
14 201838
15 2017103
16 201745
17 201678
18 201630
19 201531
20 201268

About Felix Graßmann

Felix Graßmann is a scholar working on Ophthalmology, Genetics, Radiology, Nuclear Medicine and Imaging, Cancer Research and Neurology, having authored 68 papers that have together received 1.9k indexed citations. Recurring topics across this work include Retinal Diseases and Treatments (30 papers), Retinal Imaging and Analysis (15 papers), Retinal Development and Disorders (15 papers), Genetic Associations and Epidemiology (8 papers), BRCA gene mutations in cancer (7 papers), Ocular Diseases and Behçet’s Syndrome (7 papers), Global Cancer Incidence and Screening (6 papers) and Cancer Risks and Factors (5 papers). The work is most often cited by research in Ophthalmology (1.1k citations), Radiology, Nuclear Medicine and Imaging (739 citations), Neurology (98 citations), Cancer Research (166 citations) and Molecular Biology (756 citations). Felix Graßmann has collaborated with scholars based in Germany, Sweden and United Kingdom. Frequent co-authors include Bernhard H. F. Weber, Iris M. Heid, Caroline Brandl, Martina E. Zimmermann, Annette Peters, Christina Kiel, Birgit Linkohr, Judith Mengelkamp, Christoph Palm and Kamila Czene. Their work appears in journals such as PLoS ONE, Journal of Neuroinflammation, JNCI Journal of the National Cancer Institute, Human Molecular Genetics and Nature Communications.

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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