Marc Hanauer
Impact in
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- Genomics and Rare Diseases
- Genetic Associations and Epidemiology
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- Cancer Genomics and Diagnostics
Papers in
- Genetics 3
- Genomics and Rare Diseases 3
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- Biomedical Text Mining and Ontologies 2
- Co-authors
- Ana Rath (3 shared papers)Sebastian Köhler (2 shared papers)Peter N. Robinson (2 shared papers)Marco Roos (1 shared paper)Dominik Seelow (1 shared paper)Luiz Olavo Bonino da Silva Santos (1 shared paper)Bruno Donadille (1 shared paper)Ségolène Aymé (1 shared paper)
- Journals
- European Journal of Medical Genetics (1 paper)European Journal of Human Genetics (1 paper)Orphanet Journal of Rare Diseases (1 paper)Studies in health technology and informatics (2 papers)
- Partner nations
- FranceGermanyUnited States
In The Last Decade
Marc Hanauer
6 papers receiving 33 citations
Peers
Comparison fields: 5 of 12
- Genetics 21
- Cancer Research 5
- Complementary and alternative medicine 2
- Molecular Biology 17
- Health Information Management 1
Countries citing papers authored by Marc Hanauer
This map shows the geographic impact of Marc Hanauer'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 Hanauer with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Marc Hanauer more than expected).
Fields of papers citing papers by Marc Hanauer
This network shows the impact of papers produced by Marc Hanauer. 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 Hanauer. The network helps show where Marc Hanauer may publish in the future.
Co-authors
The 25 scholars most cited alongside Marc Hanauer, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 16 | |
| 2 | 2023 | 7 | |
| 3 | 2021 | 4 | |
| 4 | OntoOrpha: An Ontology to Support Edition and Audit of Knowledge of Rare Diseases in ORPHANET. | 2011 | 3 |
| 5 | 2010 | 2 | |
| 6 | 2024 | 1 |
About Marc Hanauer
Marc Hanauer is a scholar working on Genetics, Molecular Biology, Information Systems, Artificial Intelligence and Pediatrics, Perinatology and Child Health, having authored 6 papers that have together received 33 indexed citations. Recurring topics across this work include Genomics and Rare Diseases (3 papers), Research Data Management Practices (2 papers), Biomedical Text Mining and Ontologies (2 papers), Privacy-Preserving Technologies in Data (1 paper), Biotechnology and Related Fields (1 paper), Pharmaceutical Economics and Policy (1 paper), Oral and gingival health research (1 paper) and Cancer Genomics and Diagnostics (1 paper). The work is most often cited by research in Genetics (21 citations), Cancer Research (5 citations), Complementary and alternative medicine (2 citations), Molecular Biology (17 citations) and Health Information Management (1 citation). Marc Hanauer has collaborated with scholars based in France, Germany and United States. Frequent co-authors include Ana Rath, Sebastian Köhler, Peter N. Robinson, Marco Roos, Dominik Seelow, Luiz Olavo Bonino da Silva Santos, Bruno Donadille, Ségolène Aymé, Simon Jupp and Natalia Martín. Their work appears in journals such as European Journal of Medical Genetics, European Journal of Human Genetics, Orphanet Journal of Rare Diseases and Studies in health technology and informatics.
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.