Morris A. Swertz
- Aging top 2%
- Genetics top 1%
- Genomics and Rare Diseases 18
- Genomic variations and chromosomal abnormalities 11
- Genetic Associations and Epidemiology 11
- Molecular Biology top 5%
- Biomedical Text Mining and Ontologies 20
- Bioinformatics and Genomic Networks 20
- Gene expression and cancer classification 15
- Genomics and Phylogenetic Studies 13
- Cancer Research top 5%
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- Scientific Computing and Data Management 16
- Co-authors
- Cisca WijmengaRitsert C. JansenPatrick DeelenLude FrankeFreerk van DijkRainer BreitlingRonald P. StolkSalome Scholtens
- Cited by
- AgingGeneticsMolecular Biology
- Partner nations
- NetherlandsUnited KingdomUnited States
In The Last Decade
Morris A. Swertz
114 papers receiving 4.5k citations
Hit Papers
Peers
Comparison fields: 5 of 182
- Aging 134
- Genetics 1.3k
- Molecular Biology 2.1k
- Cancer Research 344
- Information Systems and Management 154
Countries citing papers authored by Morris A. Swertz
This map shows the geographic impact of Morris A. Swertz'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 Morris A. Swertz with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Morris A. Swertz more than expected).
Fields of papers citing papers by Morris A. Swertz
This network shows the impact of papers produced by Morris A. Swertz. 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 Morris A. Swertz. The network helps show where Morris A. Swertz may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Morris A. Swertz, 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 | 2024 | 2 | |
| 2 | 2024 | 1 | |
| 3 | 2023 | 8 | |
| 4 | 2023 | 2 | |
| 5 | 2022 | 16 | |
| 6 | 2022 | 15 | |
| 7 | 2021 | 10 | |
| 8 | 2020 | 38 | |
| 9 | 2020 | 16 | |
| 10 | 2019 | 62 | |
| 11 | 2017 | 11 | |
| 12 | 2015 | 66 | |
| 13 | 2015 | 129 | |
| 14 | 2015 | 238 | |
| 15 | 2015 | 1 | |
| 16 | 2013 | 7 | |
| 17 | 2012 | 16 | |
| 18 | How to kickstart a national biobanking infrastructure – experiences and prospects of BBMRI-NL | 2012 | 0 |
| 19 | 2011 | 14 | |
| 20 | 2010 | 23 |
About Morris A. Swertz
Morris A. Swertz is a scholar working on Information Systems and Management, Aging and Genetics, having authored 118 papers that have together received 4.5k indexed citations. Recurring topics across this work include Biomedical Text Mining and Ontologies (20 papers), Bioinformatics and Genomic Networks (20 papers), Genomics and Rare Diseases (18 papers), Scientific Computing and Data Management (16 papers), Gene expression and cancer classification (15 papers), Genomics and Phylogenetic Studies (13 papers), Genomic variations and chromosomal abnormalities (11 papers) and Genetic Associations and Epidemiology (11 papers). The work is most often cited by research in Aging (134 citations), Genetics (1.3k citations) and Molecular Biology (2.1k citations). Morris A. Swertz has collaborated with scholars based in Netherlands, United Kingdom and United States. Frequent co-authors include Cisca Wijmenga, Ritsert C. Jansen, Patrick Deelen, Lude Franke, Freerk van Dijk, Rainer Breitling, Ronald P. Stolk, Salome Scholtens, K. Joeri van der Velde and Bruce H. R. Wolffenbuttel. Their work appears in journals such as Nucleic Acids Research, Nature Medicine and Nature Genetics.
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.