Morris A. Swertz
- Molecular Biology top 5%
- Genetics top 1%
- Public Health, Environmental and Occupational Health top 5%
- Cancer Research top 5%
- Immunology top 10%
- Co-authors
- Cisca WijmengaRitsert C. JansenPatrick DeelenLude FrankeFreerk van DijkRainer BreitlingRonald P. StolkSalome Scholtens
- Topics
- Biomedical Text Mining and Ontologies (20 papers)Bioinformatics and Genomic Networks (20 papers)Genomics and Rare Diseases (18 papers)
- 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
- Molecular Biology 2.1k
- Genetics 1.3k
- Public Health, Environmental and Occupational Health 390
- Cancer Research 344
- Immunology 335
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 of co-authors of Morris A. Swertz
This figure shows the co-authorship network connecting the top 25 collaborators of Morris A. Swertz. A scholar is included among the top collaborators of Morris A. Swertz 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 Morris A. Swertz. Morris A. Swertz is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 1 | |
| 3 | 8 | |
| 4 | 2 | |
| 5 | 16 | |
| 6 | 15 | |
| 7 | 10 | |
| 8 | 38 | |
| 9 | 16 | |
| 10 | 62 | |
| 11 | 11 | |
| 12 | 66 | |
| 13 | 129 | |
| 14 | 238 | |
| 15 | 1 | |
| 16 | 7 | |
| 17 | 16 | |
| 18 | How to kickstart a national biobanking infrastructure – experiences and prospects of BBMRI-NL | 0 |
| 19 | 14 | |
| 20 | 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) and Genomics and Rare Diseases (18 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.