Danielle Welter
Impact in
- Genetics top 1%
- Genetic Associations and Epidemiology
- Genetic Mapping and Diversity in Plants and Animals
- Genomics and Rare Diseases
- Molecular Biology top 5%
- Bioinformatics and Genomic Networks
- RNA modifications and cancer
- Epigenetics and DNA Methylation
- Genomics and Chromatin Dynamics
Papers in
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- Bioinformatics and Genomic Networks 5
- Biomedical Text Mining and Ontologies 5
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- Scientific Computing and Data Management 6
- Co-authors
- Tony Burdett (6 shared papers)Helen Parkinson (4 shared papers)Paul Flicek (2 shared papers)Heather Junkins (2 shared papers)Lucia A. Hindorff (2 shared papers)Peggy Hall (2 shared papers)Jacqueline A. L. MacArthur (2 shared papers)Joannella Morales (2 shared papers)
- Journals
- Scientific Data (2 papers)Nucleic Acids Research (2 papers)Drug Discovery Today (1 paper)Journal of Biomedical Semantics (1 paper)JAMIA Open (2 papers)
- Partner nations
- LuxembourgUnited KingdomGermany
In The Last Decade
Danielle Welter
9 papers receiving 3.2k citations
Danielle Welter's Hit Papers
Peers
Comparison fields: 5 of 138
- Genetics 1.6k
- Molecular Biology 1.8k
- Cancer Research 368
- Aging 33
- Immunology 238
Countries citing papers authored by Danielle Welter
This map shows the geographic impact of Danielle Welter'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 Danielle Welter with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Danielle Welter more than expected).
Fields of papers citing papers by Danielle Welter
This network shows the impact of papers produced by Danielle Welter. 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 Danielle Welter. The network helps show where Danielle Welter may publish in the future.
Co-authors
The 25 scholars most cited alongside Danielle Welter, 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 | The NHGRI GWAS Catalog, a curated resource of SNP-trait associations Hit paper breakdown → | 2013 | 1850 |
| 2 | The new NHGRI-EBI Catalog of published genome-wide association studies (GWAS Catalog) Hit paper breakdown → | 2016 | 1346 |
| 3 | 2024 | 13 | |
| 4 | 2022 | 9 | |
| 5 | 2023 | 8 | |
| 6 | 2016 | 6 | |
| 7 | 2024 | 4 | |
| 8 | 2023 | 3 | |
| 9 | Collaborative Ontology Development Using the Webulous Architecture and Google App. | 2015 | 2 |
| 10 | 2025 | 0 | |
| 11 | 2024 | 0 | |
| 12 | 2022 | 0 |
About Danielle Welter
Danielle Welter is a scholar working on Molecular Biology, Information Systems and Management, Information Systems, Artificial Intelligence and Health Informatics, having authored 12 papers that have together received 3.2k indexed citations. Recurring topics across this work include Scientific Computing and Data Management (6 papers), Bioinformatics and Genomic Networks (5 papers), Biomedical Text Mining and Ontologies (5 papers), Research Data Management Practices (3 papers), Semantic Web and Ontologies (2 papers), Meta-analysis and systematic reviews (2 papers), Radiomics and Machine Learning in Medical Imaging (2 papers) and Genetic Associations and Epidemiology (2 papers). The work is most often cited by research in Genetics (1.6k citations), Molecular Biology (1.8k citations), Cancer Research (368 citations), Aging (33 citations) and Immunology (238 citations). Danielle Welter has collaborated with scholars based in Luxembourg, United Kingdom and Germany. Frequent co-authors include Tony Burdett, Helen Parkinson, Paul Flicek, Heather Junkins, Lucia A. Hindorff, Peggy Hall, Jacqueline A. L. MacArthur, Joannella Morales, Teri A. Manolio and Aoife McMahon. Their work appears in journals such as Scientific Data, Nucleic Acids Research, Drug Discovery Today, Journal of Biomedical Semantics and JAMIA Open.
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.