Marc Coram
Impact in
- Health Informatics top 0.1%
- Artificial Intelligence in Healthcare and Education
- Ophthalmology top 0.2%
- Retinal Diseases and Treatments
- Retinal and Optic Conditions
Papers in
- Genetics 10
- Genetic and phenotypic traits in livestock 6
- Genetic Associations and Epidemiology 6
- Genetic Mapping and Diversity in Plants and Animals 4
- Co-authors
- Lily Peng (2 shared papers)Derek Wu (2 shared papers)Rajiv Raman (2 shared papers)Kim Ramasamy (2 shared papers)Kasumi Widner (2 shared papers)Varun Gulshan (2 shared papers)Dale R. Webster (2 shared papers)Philip Nelson (1 shared paper)
- Journals
- The American Journal of Human Genetics (5 papers)Blood (3 papers)PLoS Genetics (2 papers)The Journal of Urology (2 papers)Journal of Proteome Research (1 paper)
- Partner nations
- United StatesSouth AfricaIndia
In The Last Decade
Marc Coram
32 papers receiving 7.5k citations
Marc Coram's Hit Papers
Peers
Comparison fields: 5 of 196
- Health Informatics 729
- Ophthalmology 1.4k
- Health Information Management 661
- Radiology, Nuclear Medicine and Imaging 3.0k
- Artificial Intelligence 1.4k
Countries citing papers authored by Marc Coram
This map shows the geographic impact of Marc Coram'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 Marc Coram with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Marc Coram more than expected).
Fields of papers citing papers by Marc Coram
This network shows the impact of papers produced by Marc Coram. 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 Marc Coram. The network helps show where Marc Coram may publish in the future.
Co-authors
The 25 scholars most cited alongside Marc Coram, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 34 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Development and Validation of a Deep Learning Algorithm for Detection of Diabetic Retinopathy in Retinal Fundus Photographs Hit paper breakdown → | 2016 | 5463 |
| 2 | 2012 | 463 | |
| 3 | 2006 | 231 | |
| 4 | 2006 | 213 | |
| 5 | 2019 | 213 | |
| 6 | 2008 | 204 | |
| 7 | 2013 | 116 | |
| 8 | 2013 | 104 | |
| 9 | 2006 | 99 | |
| 10 | 2011 | 96 | |
| 11 | 2008 | 95 | |
| 12 | 2020 | 79 | |
| 13 | 2014 | 66 | |
| 14 | 2017 | 64 | |
| 15 | 2008 | 53 | |
| 16 | 2006 | 52 | |
| 17 | 2020 | 42 | |
| 18 | 2010 | 31 | |
| 19 | 2021 | 31 | |
| 20 | 2012 | 23 |
About Marc Coram
Marc Coram is a scholar working on Genetics, Hematology, Molecular Biology, Biophysics and Spectroscopy, having authored 34 papers that have together received 7.8k indexed citations. Recurring topics across this work include Genetic and phenotypic traits in livestock (6 papers), Genetic Associations and Epidemiology (6 papers), Genetic Mapping and Diversity in Plants and Animals (4 papers), Bayesian Methods and Mixture Models (2 papers), Advanced Proteomics Techniques and Applications (2 papers), Cell Image Analysis Techniques (2 papers), Soil Geostatistics and Mapping (2 papers) and Gene Regulatory Network Analysis (2 papers). The work is most often cited by research in Health Informatics (729 citations), Ophthalmology (1.4k citations), Health Information Management (661 citations), Radiology, Nuclear Medicine and Imaging (3.0k citations) and Artificial Intelligence (1.4k citations). Marc Coram has collaborated with scholars based in United States, South Africa and India. Frequent co-authors include Lily Peng, Derek Wu, Rajiv Raman, Kim Ramasamy, Kasumi Widner, Varun Gulshan, Dale R. Webster, Philip Nelson, Martin C. Stumpe and Arunachalam Narayanaswamy. Their work appears in journals such as The American Journal of Human Genetics, Blood, PLoS Genetics, The Journal of Urology and Journal of Proteome Research.
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.