Iris M. Heid

47.9k citations
136 papers · 3.9k · 1 hit paper · h-index 33

Impact in

Papers in

Iris M. Heid

128 papers receiving 3.8k 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
3690+2+5Years since publication100200300

Peers

Iris M. Heid
Comparison fields: 5 of 150
  • Ophthalmology 616
  • Biochemistry 257
  • Radiology, Nuclear Medicine and Imaging 701
  • Cardiology and Cardiovascular Medicine 639
  • Endocrinology, Diabetes and Metabolism 436
Replace Su Chi Lim with:
Su Chi Lim Singapore
Jaspal S. Kooner United Kingdom
Edward E. Herderick United States
Xiuqing Guo United States
Hans J. Arnqvist Sweden
Robert Y.L. Zee United States
Chao‐Yu Guo Taiwan
Rajeev Malhotra United States
Hsin‐Bang Leu Taiwan
Masaharu Nagata Japan
Iris M. Heid relative to Su Chi Lim Singapore Su Chi Lim's profile →
Citations per field
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Citations per year

Countries citing papers authored by Iris M. Heid

Since Specialization
Citations

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

Fields of papers citing papers by Iris M. Heid

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Iris M. Heid. 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 Iris M. Heid. The network helps show where Iris M. Heid may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 136 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2006426
2
A Deep Learning Algorithm for Prediction of Age-Related Eye Disease Study Severity Scale for Age-Related Macular Degeneration from Color Fundus Photography
Hit paper breakdown →
2018369
3 1998198
4 2006170
5 2000139
6 2007112
7 2006102
8 200893
9 200480
10 200678
11 200877
12 200869
13 201268
14 200664
15 201363
16 201661
17 201160
18 200860
19 200757
20 200848

About Iris M. Heid

Iris M. Heid is a scholar working on Genetics, Radiology, Nuclear Medicine and Imaging, Ophthalmology, Molecular Biology and Epidemiology, having authored 136 papers that have together received 3.9k indexed citations. Recurring topics across this work include Genetic Associations and Epidemiology (34 papers), Retinal Diseases and Treatments (25 papers), Retinal Imaging and Analysis (18 papers), Genetic Mapping and Diversity in Plants and Animals (11 papers), Glaucoma and retinal disorders (10 papers), Adipokines, Inflammation, and Metabolic Diseases (9 papers), Obstructive Sleep Apnea Research (8 papers) and Genetic and phenotypic traits in livestock (8 papers). The work is most often cited by research in Ophthalmology (616 citations), Biochemistry (257 citations), Radiology, Nuclear Medicine and Imaging (701 citations), Cardiology and Cardiovascular Medicine (639 citations) and Endocrinology, Diabetes and Metabolism (436 citations). Iris M. Heid has collaborated with scholars based in Germany, Austria and United States. Frequent co-authors include Florian Kronenberg, Bernhard H. F. Weber, Felix Graßmann, Martina E. Zimmermann, Caroline Brandl, Henning Gohlke, Barbara Kollerits, Annette Peters, Thomas Illig and Martina Müller‐Nurasyid. Their work appears in journals such as PLoS ONE, Investigative Ophthalmology & Visual Science, Genetic Epidemiology, 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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