Danielle Welter

6.3k total citations · 2 hit papers
12 papers, 3.2k citations indexed

About

Danielle Welter is a scholar working on Molecular Biology, Information Systems and Management and Information Systems. According to data from OpenAlex, Danielle Welter has authored 12 papers receiving a total of 3.2k indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 6 papers in Information Systems and Management and 3 papers in Information Systems. Recurrent topics in Danielle Welter's work include Scientific Computing and Data Management (6 papers), Bioinformatics and Genomic Networks (5 papers) and Biomedical Text Mining and Ontologies (5 papers). Danielle Welter is often cited by papers focused on Scientific Computing and Data Management (6 papers), Bioinformatics and Genomic Networks (5 papers) and Biomedical Text Mining and Ontologies (5 papers). Danielle Welter collaborates with scholars based in Luxembourg, United Kingdom and Germany. Danielle Welter's co-authors include Helen Parkinson, Tony Burdett, Heather Junkins, Peggy Hall, Jacqueline A. L. MacArthur, Paul Flicek, Joannella Morales, Lucia A. Hindorff, Teri A. Manolio and Emma Hastings and has published in prestigious journals such as Nucleic Acids Research, SHILAP Revista de lepidopterología and Drug Discovery Today.

In The Last Decade

Danielle Welter

9 papers receiving 3.2k citations

Hit Papers

The NHGRI GWAS Catalog, a curated resource of SNP-trait a... 2013 2026 2017 2021 2013 2016 500 1000 1.5k

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Danielle Welter Luxembourg 6 1.8k 1.6k 368 238 219 12 3.2k
Peggy Hall United States 5 1.8k 1.0× 1.6k 1.0× 370 1.0× 238 1.0× 221 1.0× 8 3.3k
Jacqueline A. L. MacArthur United Kingdom 9 2.0k 1.1× 1.9k 1.2× 408 1.1× 250 1.1× 241 1.1× 13 3.7k
Joannella Morales United States 8 2.1k 1.1× 1.9k 1.2× 393 1.1× 252 1.1× 229 1.0× 12 3.6k
Tony Burdett United Kingdom 13 2.5k 1.4× 1.8k 1.1× 477 1.3× 296 1.2× 247 1.1× 32 4.2k
Maya Kasowski United States 10 2.0k 1.1× 1.1k 0.7× 448 1.2× 285 1.2× 166 0.8× 14 3.0k
Daniel M. Jordan United States 14 1.8k 1.0× 1.4k 0.9× 401 1.1× 197 0.8× 142 0.6× 36 3.3k
Eurie L. Hong United States 14 1.8k 1.0× 873 0.5× 360 1.0× 224 0.9× 153 0.7× 22 2.8k
Lance W. Hahn United States 11 1.9k 1.0× 1.8k 1.1× 264 0.7× 244 1.0× 181 0.8× 23 3.4k
Marc A. Schaub United States 8 1.5k 0.8× 1.1k 0.7× 341 0.9× 302 1.3× 164 0.7× 9 2.6k
Seunggeun Lee United States 25 1.9k 1.0× 3.2k 2.0× 249 0.7× 178 0.7× 227 1.0× 81 4.6k

Countries citing papers authored by Danielle Welter

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Danielle Welter

This figure shows the co-authorship network connecting the top 25 collaborators of Danielle Welter. A scholar is included among the top collaborators of Danielle Welter 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 Danielle Welter. Danielle Welter is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

12 of 12 papers shown
1.
Balaur, Irina, Danielle Welter, Alexander Mazein, et al.. (2025). FAIR assessment of Disease Maps fosters open science and scientific crowdsourcing in systems biomedicine. Scientific Data. 12(1). 851–851.
2.
Shiferaw, Kirubel Biruk, et al.. (2024). Guidelines and standard frameworks for artificial intelligence in medicine: a systematic review. JAMIA Open. 8(1). ooae155–ooae155. 13 indexed citations
3.
Shiferaw, Kirubel Biruk, et al.. (2024). Guidelines and Standard Frameworks for Artificial Intelligence in Medicine: A Systematic Review. medRxiv. 4 indexed citations
4.
Shiferaw, Kirubel Biruk, Irina Balaur, Danielle Welter, Dagmar Waltemath, & Atinkut Alamirrew Zeleke. (2024). CALIFRAME: a proposed method of calibrating reporting guidelines with FAIR principles to foster reproducibility of AI research in medicine. JAMIA Open. 7(4). ooae105–ooae105.
5.
Welter, Danielle, Philippe Rocca‐Serra, Valentin Grouès, et al.. (2023). The Translational Data Catalog - discoverable biomedical datasets. Scientific Data. 10(1). 470–470. 3 indexed citations
6.
Mazein, Alexander, Márcio Luís Acencio, Irina Balaur, et al.. (2023). A guide for developing comprehensive systems biology maps of disease mechanisms: planning, construction and maintenance. SHILAP Revista de lepidopterología. 3. 1197310–1197310. 8 indexed citations
7.
Gadiya, Yojana, David Henderson, Andrea Zaliani, et al.. (2022). Selection of data sets for FAIRification in drug discovery and development: Which, why, and how?. Drug Discovery Today. 27(8). 2080–2085. 9 indexed citations
8.
Welter, Danielle, Philippe Rocca‐Serra, Valentin Grouès, et al.. (2022). The Translational Data Catalog - discoverable biomedical datasets. Zenodo (CERN European Organization for Nuclear Research).
9.
MacArthur, Jacqueline A. L., Emily Bowler-Barnett, María Cerezo, et al.. (2016). The new NHGRI-EBI Catalog of published genome-wide association studies (GWAS Catalog). Nucleic Acids Research. 45(D1). D896–D901. 1346 indexed citations breakdown →
10.
Jupp, Simon, Tony Burdett, Danielle Welter, et al.. (2016). Webulous and the Webulous Google Add-On - a web service and application for ontology building from templates. Journal of Biomedical Semantics. 7(1). 17–17. 6 indexed citations
11.
Jupp, Simon, Danielle Welter, Tony Burdett, Helen Parkinson, & James Malone. (2015). Collaborative Ontology Development Using the Webulous Architecture and Google App.. 120–121. 2 indexed citations
12.
Welter, Danielle, Jacqueline A. L. MacArthur, Joannella Morales, et al.. (2013). The NHGRI GWAS Catalog, a curated resource of SNP-trait associations. Nucleic Acids Research. 42(D1). D1001–D1006. 1850 indexed citations breakdown →

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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