Iris M. Heid

47.9k total citations · 1 hit paper
136 papers, 3.9k citations indexed

About

Iris M. Heid is a scholar working on Genetics, Radiology, Nuclear Medicine and Imaging and Ophthalmology. According to data from OpenAlex, Iris M. Heid has authored 136 papers receiving a total of 3.9k indexed citations (citations by other indexed papers that have themselves been cited), including 40 papers in Genetics, 26 papers in Radiology, Nuclear Medicine and Imaging and 25 papers in Ophthalmology. Recurrent topics in Iris M. Heid's work include Genetic Associations and Epidemiology (34 papers), Retinal Diseases and Treatments (25 papers) and Retinal Imaging and Analysis (18 papers). Iris M. Heid is often cited by papers focused on Genetic Associations and Epidemiology (34 papers), Retinal Diseases and Treatments (25 papers) and Retinal Imaging and Analysis (18 papers). Iris M. Heid collaborates with scholars based in Germany, Austria and United States. Iris M. Heid's co-authors include Florian Kronenberg, Bernhard H. F. Weber, Felix Graßmann, Martina E. Zimmermann, Caroline Brandl, Henning Gohlke, Barbara Kollerits, Annette Peters, Joachim Heinrich and Martina Müller‐Nurasyid and has published in prestigious journals such as Nature Communications, Journal of Clinical Oncology and SHILAP Revista de lepidopterología.

In The Last Decade

Iris M. Heid

128 papers receiving 3.8k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

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 Felix Graßmann, Caroline Brandl et al. profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Iris M. Heid Germany	33	766	701	644	639	616	136	3.9k
Su Chi Lim Singapore	32	790 1.0×	410 0.6×	1.3k 2.1×	1.1k 1.7×	323 0.5×	146	4.7k
Jaspal S. Kooner United Kingdom	35	528 0.7×	426 0.6×	695 1.1×	1.5k 2.3×	140 0.2×	93	4.3k
Manju Chandran Singapore	23	732 1.0×	284 0.4×	822 1.3×	251 0.4×	196 0.3×	92	3.5k
Jiten Vora United Kingdom	40	577 0.8×	777 1.1×	712 1.1×	379 0.6×	776 1.3×	148	4.2k
Edward E. Herderick United States	28	463 0.6×	497 0.7×	466 0.7×	1.2k 1.9×	224 0.4×	53	3.7k
Kyoung Min Kim South Korea	38	516 0.7×	379 0.5×	757 1.2×	375 0.6×	139 0.2×	164	4.5k
Sam Philip United Kingdom	36	508 0.7×	1.5k 2.1×	392 0.6×	307 0.5×	1.3k 2.2×	77	4.2k
Richard J. Chappell United States	30	483 0.6×	644 0.9×	324 0.5×	188 0.3×	321 0.5×	108	3.8k
Kyungdo Han South Korea	27	1.0k 1.4×	183 0.3×	543 0.8×	595 0.9×	178 0.3×	276	3.6k
Rajeev Malhotra United States	39	430 0.6×	297 0.4×	926 1.4×	2.4k 3.8×	120 0.2×	163	5.9k

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-authorship network of co-authors of Iris M. Heid

This figure shows the co-authorship network connecting the top 25 collaborators of Iris M. Heid. A scholar is included among the top collaborators of Iris M. Heid based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Iris M. Heid. Iris M. Heid is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

Gorski, Mathias, Michelle Grunin, Bruno Frøhlich, et al.. (2025). Diverse-Ancestry GWAS of Age-Related Macular Degeneration on 16,108 Examined Cases and 18,038 Controls. Investigative Ophthalmology & Visual Science. 66(13). 51–51.

Brummer, Christina, Sakhila Ghimire, Katrin Peter, et al.. (2025). Impact of Liver and Kidney Function on Vitamin D3 Metabolism in Female and Male Patients Undergoing Allogeneic Hematopoietic Stem-Cell Transplantation. International Journal of Molecular Sciences. 26(7). 2866–2866.

Stark, Klaus, Martina E. Zimmermann, Caroline Brandl, et al.. (2025). NT-proBNP in the very old population: reference values and heart failure specificity from the AugUR-study. Clinical Research in Cardiology.

Stark, Klaus, et al.. (2024). Frequency of Atopic Dermatitis and Psoriasis in the Elderly: Cross-Sectional Findings from the German AugUR Study. Dermatology. 241(1). 1–9. 1 indexed citations

Nano, Jana, Bettina Jung, Mathias Gorski, et al.. (2024). Population-based reference values for kidney function and kidney function decline in 25- to 95-year-old Germans without and with diabetes. Kidney International. 106(4). 699–711. 10 indexed citations

Hernández‐Reséndiz, Ileana, Janine Dokas, Silvana Müller, et al.. (2023). Trib1 Deficiency Promotes Hyperlipidemia, Inflammation, and Atherosclerosis in LDL Receptor Knockout Mice. Arteriosclerosis Thrombosis and Vascular Biology. 43(6). 979–994. 7 indexed citations

Koller, Á., Claudia Lamina, Caroline Brandl, et al.. (2023). Systemic Evidence for Mitochondrial Dysfunction in Age-Related Macular Degeneration as Revealed by mtDNA Copy Number Measurements in Peripheral Blood. International Journal of Molecular Sciences. 24(22). 16406–16406. 9 indexed citations

Brandl, Caroline, et al.. (2023). Photostress Recovery Time as a Potential Predictive Biomarker for Age-Related Macular Degeneration. Translational Vision Science & Technology. 12(2). 15–15. 4 indexed citations

Zimmermann, Martina E., Mathias Gorski, Felix Günther, et al.. (2023). Genetic Risk Score Analysis Supports a Joint View of Two Classification Systems for Age-Related Macular Degeneration. Investigative Ophthalmology & Visual Science. 64(12). 31–31. 2 indexed citations

10.

Arzt, Michael, et al.. (2019). Sleep-Disordered Breathing Is Associated with Metabolic Syndrome in Outpatients with Diabetes Mellitus Type 2. Journal of Diabetes Research. 2019. 1–11. 3 indexed citations

11.

Arzt, Michael, et al.. (2018). Sex Differences in the Prevalence and Modulators of Sleep-Disordered Breathing in Outpatients with Type 2 Diabetes. Journal of Diabetes Research. 2018. 1–10. 3 indexed citations

12.

Brandl, Caroline, Martina E. Zimmermann, Felix Günther, et al.. (2018). On the impact of different approaches to classify age-related macular degeneration: Results from the German AugUR study. Scientific Reports. 8(1). 8675–8675. 34 indexed citations

13.

Graßmann, Felix, Christina Kiel, Martina E. Zimmermann, et al.. (2017). Genetic pleiotropy between age-related macular degeneration and 16 complex diseases and traits. Genome Medicine. 9(1). 29–29. 45 indexed citations

14.

Stark, Klaus, Matthias Olden, Caroline Brandl, et al.. (2015). The German AugUR study: study protocol of a prospective study to investigate chronic diseases in the elderly. BMC Geriatrics. 15(1). 130–130. 32 indexed citations

15.

Luchner, Andreas, Gundula Behrens, Jan Stritzke, et al.. (2013). Long-Term Pattern of Brain Natriuretic Peptide and N-Terminal Pro Brain Natriuretic Peptide and Its Determinants in the General Population: Contribution of Age, Gender, and Cardiac and Extra-Cardiac Factors. European Journal of Heart Failure. 15(8). 859–867. 63 indexed citations

16.

M, Fabiola Del Greco, Cristian Pattaro, Andreas Luchner, et al.. (2011). Genome-wide association analysis and fine mapping of NT-proBNP level provide novel insight into the role of the MTHFR-CLCN6-NPPA-NPPB gene cluster. Human Molecular Genetics. 20(8). 1660–1671. 38 indexed citations

17.

Fischer, Alexandra, Harald Grallert, Christian Gieger, et al.. (2009). Association Analysis Between the Prostaglandin E Synthase 2 R298H Polymorphism and Body Mass Index in 8079 Participants of the KORA Study Cohort. Genetic Testing and Molecular Biomarkers. 13(2). 223–226. 8 indexed citations

18.

Peters, Annette, Sonja Greven, Iris M. Heid, et al.. (2009). Fibrinogen Genes Modify the Fibrinogen Response to Ambient Particulate Matter. American Journal of Respiratory and Critical Care Medicine. 179(6). 484–491. 30 indexed citations

19.

Grallert, Harald, Eva‐Maria Sedlmeier, Cornelia Huth, et al.. (2007). APOA5 variants and metabolic syndrome in Caucasians. Journal of Lipid Research. 48(12). 2614–2621. 57 indexed citations

20.

Heid, Iris M., Claudia Lamina, Guido Fischer, et al.. (2005). Wie gut können Haplotypen in den populationsbasierten KORA-Studien rekonstruiert werden?. Das Gesundheitswesen. 67(S 01). 132–136. 3 indexed citations

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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