Andra Waagmeester
Impact in
- Molecular Biology top 10%
- Bioinformatics and Genomic Networks
- Biomedical Text Mining and Ontologies
- Gene expression and cancer classification
- Microbial Metabolic Engineering and Bioproduction
- Metabolomics and Mass Spectrometry Studies
- Genomics and Phylogenetic Studies
Papers in
-
- Biomedical Text Mining and Ontologies 15
- Bioinformatics and Genomic Networks 11
- Genomics and Phylogenetic Studies 8
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- Semantic Web and Ontologies 8
- Natural Language Processing Techniques 3
- Co-authors
- Chris T. Evelo (10 shared papers)Egon Willighagen (9 shared papers)Alexander R. Pico (4 shared papers)Susan L. Coort (4 shared papers)Martina Kutmon (5 shared papers)Ryan A. Miller (4 shared papers)Anders Riutta (3 shared papers)Kristina Hanspers (2 shared papers)
- Journals
- Database (4 papers)Nucleic Acids Research (3 papers)Semantic Web (2 papers)PLoS ONE (2 papers)PLoS Computational Biology (2 papers)
- Partner nations
- NetherlandsUnited StatesUnited Kingdom
In The Last Decade
Andra Waagmeester
30 papers receiving 1.2k citations
Andra Waagmeester's Hit Papers
Peers
Comparison fields: 5 of 124
- Molecular Biology 765
- Cancer Research 119
- Computational Theory and Mathematics 132
- Biological Psychiatry 13
- Information Systems and Management 31
Countries citing papers authored by Andra Waagmeester
This map shows the geographic impact of Andra Waagmeester'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 Andra Waagmeester with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Andra Waagmeester more than expected).
Fields of papers citing papers by Andra Waagmeester
This network shows the impact of papers produced by Andra Waagmeester. 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 Andra Waagmeester. The network helps show where Andra Waagmeester may publish in the future.
Co-authors
The 25 scholars most cited alongside Andra Waagmeester, 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 30 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | WikiPathways: connecting communities Hit paper breakdown → | 2020 | 521 |
| 2 | 2015 | 301 | |
| 3 | 2013 | 78 | |
| 4 | 2005 | 48 | |
| 5 | 2008 | 42 | |
| 6 | 2021 | 38 | |
| 7 | 2014 | 36 | |
| 8 | 1998 | 32 | |
| 9 | 2016 | 31 | |
| 10 | 2014 | 23 | |
| 11 | 2017 | 19 | |
| 12 | 2016 | 18 | |
| 13 | 2021 | 12 | |
| 14 | 2009 | 11 | |
| 15 | 2008 | 10 | |
| 16 | 2019 | 6 | |
| 17 | 2019 | 6 | |
| 18 | 2023 | 6 | |
| 19 | 2016 | 5 | |
| 20 | Bring your own data workshops: A mechanism to aid data owners to comply with Linked Data best practices | 2014 | 5 |
About Andra Waagmeester
Andra Waagmeester is a scholar working on Molecular Biology, Artificial Intelligence, Communication, Information Systems and Computational Theory and Mathematics, having authored 30 papers that have together received 1.3k indexed citations. Recurring topics across this work include Biomedical Text Mining and Ontologies (15 papers), Bioinformatics and Genomic Networks (11 papers), Semantic Web and Ontologies (8 papers), Genomics and Phylogenetic Studies (8 papers), Wikis in Education and Collaboration (4 papers), Research Data Management Practices (4 papers), Natural Language Processing Techniques (3 papers) and Computational Drug Discovery Methods (3 papers). The work is most often cited by research in Molecular Biology (765 citations), Cancer Research (119 citations), Computational Theory and Mathematics (132 citations), Biological Psychiatry (13 citations) and Information Systems and Management (31 citations). Andra Waagmeester has collaborated with scholars based in Netherlands, United States and United Kingdom. Frequent co-authors include Chris T. Evelo, Egon Willighagen, Alexander R. Pico, Susan L. Coort, Martina Kutmon, Ryan A. Miller, Anders Riutta, Kristina Hanspers, Daniela Digles and Élisson Nogueira Lopes. Their work appears in journals such as Database, Nucleic Acids Research, Semantic Web, PLoS ONE and PLoS Computational Biology.
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.