Sofia Papadimitriou
Impact in
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- Genomics and Rare Diseases
- Genetic Associations and Epidemiology
- Genomic variations and chromosomal abnormalities
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- CRISPR and Genetic Engineering
- Plant tissue culture and regeneration
- Bioinformatics and Genomic Networks
Papers in
- Genetics 5
- Genomics and Rare Diseases 5
- Genomic variations and chromosomal abnormalities 3
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- Genomics and Phylogenetic Studies 2
- Biomedical Text Mining and Ontologies 1
- CRISPR and Genetic Engineering 1
- Plant tissue culture and regeneration 1
- Co-authors
- Tom Lenaerts (7 shared papers)Guillaume Smits (6 shared papers)Ann Nowé (5 shared papers)Andrea Gazzo (2 shared papers)Alexandre Renaux (3 shared papers)Sonia Van Dooren (1 shared paper)Yves Moreau (1 shared paper)Jan Aerts (1 shared paper)
- Journals
- Bioinformatics (1 paper)Artificial Intelligence in Medicine (1 paper)Database (1 paper)Plant Cell Reports (1 paper)Proceedings of the National Academy of Sciences (1 paper)
- Partner nations
- BelgiumNetherlandsFrance
In The Last Decade
Sofia Papadimitriou
8 papers receiving 198 citations
Peers
Comparison fields: 5 of 53
- Genetics 91
- Molecular Biology 90
- Genetics 13
- Cancer Research 14
- Plant Science 33
Countries citing papers authored by Sofia Papadimitriou
This map shows the geographic impact of Sofia Papadimitriou'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 Sofia Papadimitriou with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sofia Papadimitriou more than expected).
Fields of papers citing papers by Sofia Papadimitriou
This network shows the impact of papers produced by Sofia Papadimitriou. 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 Sofia Papadimitriou. The network helps show where Sofia Papadimitriou may publish in the future.
Co-authors
The 16 scholars most cited alongside Sofia Papadimitriou, 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 | 2019 | 60 | |
| 2 | 2019 | 42 | |
| 3 | 2017 | 39 | |
| 4 | 2022 | 23 | |
| 5 | 2019 | 14 | |
| 6 | 2022 | 11 | |
| 7 | 2023 | 8 | |
| 8 | 2024 | 4 |
About Sofia Papadimitriou
Sofia Papadimitriou is a scholar working on Genetics, Molecular Biology, Pathology and Forensic Medicine, Plant Science and Infectious Diseases, having authored 8 papers that have together received 201 indexed citations. Recurring topics across this work include Genomics and Rare Diseases (5 papers), Genomic variations and chromosomal abnormalities (3 papers), Genomics and Phylogenetic Studies (2 papers), Biomedical Text Mining and Ontologies (1 paper), Genetic factors in colorectal cancer (1 paper), Chromosomal and Genetic Variations (1 paper), CRISPR and Genetic Engineering (1 paper) and Plant tissue culture and regeneration (1 paper). The work is most often cited by research in Genetics (91 citations), Molecular Biology (90 citations), Genetics (13 citations), Cancer Research (14 citations) and Plant Science (33 citations). Sofia Papadimitriou has collaborated with scholars based in Belgium, Netherlands and France. Frequent co-authors include Tom Lenaerts, Guillaume Smits, Ann Nowé, Andrea Gazzo, Alexandre Renaux, Sonia Van Dooren, Yves Moreau, Jan Aerts, M.J.M. Smulders and Henk J. Schouten. Their work appears in journals such as Bioinformatics, Artificial Intelligence in Medicine, Database, Plant Cell Reports and Proceedings of the National Academy of Sciences.
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.