Sofia Papadimitriou
Impact in
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- Genomics and Rare Diseases
- Genetic Associations and Epidemiology
- Genomic variations and chromosomal abnormalities
- Genetics and Neurodevelopmental Disorders
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- CRISPR and Genetic Engineering
- Plant tissue culture and regeneration
- Genomics and Phylogenetic Studies
- Biomedical Text Mining and Ontologies
Papers in
- Genetics 7
- Genomics and Rare Diseases 7
- Genomic variations and chromosomal abnormalities 4
- Genetic Associations and Epidemiology 1
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- Genomics and Phylogenetic Studies 3
- RNA and protein synthesis mechanisms 2
- Biomedical Text Mining and Ontologies 2
- Glycosylation and Glycoproteins Research 1
- Co-authors
- Tom Lenaerts (7 shared papers)Guillaume Smits (6 shared papers)Ann Nowé (5 shared papers)Andrea Gazzo (2 shared papers)Sonia Van Dooren (1 shared paper)Jan Aerts (1 shared paper)Yves Moreau (1 shared paper)Alexandre Renaux (3 shared papers)
- Journals
- Artificial Intelligence in Medicine (1 paper)Human Genetics and Genomics Advances (1 paper)Plant Cell Reports (1 paper)BMC Bioinformatics (1 paper)Bioinformatics (1 paper)
- Partner nations
- BelgiumFranceNetherlands
In The Last Decade
Sofia Papadimitriou
8 papers receiving 183 citations
Peers
Comparison fields: 5 of 52
- Genetics 102
- Molecular Biology 106
- Genetics 15
- Plant Science 32
- Cancer Research 13
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 17 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 | 57 | |
| 2 | 2019 | 39 | |
| 3 | 2017 | 36 | |
| 4 | 2022 | 22 | |
| 5 | 2019 | 12 | |
| 6 | 2022 | 11 | |
| 7 | 2023 | 7 | |
| 8 | 2024 | 2 |
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 186 indexed citations. Recurring topics across this work include Genomics and Rare Diseases (7 papers), Genomic variations and chromosomal abnormalities (4 papers), Genomics and Phylogenetic Studies (3 papers), RNA and protein synthesis mechanisms (2 papers), Biomedical Text Mining and Ontologies (2 papers), Genetic Associations and Epidemiology (1 paper), Genetic factors in colorectal cancer (1 paper) and Glycosylation and Glycoproteins Research (1 paper). The work is most often cited by research in Genetics (102 citations), Molecular Biology (106 citations), Genetics (15 citations), Plant Science (32 citations) and Cancer Research (13 citations). Sofia Papadimitriou has collaborated with scholars based in Belgium, France and Netherlands. Frequent co-authors include Tom Lenaerts, Guillaume Smits, Ann Nowé, Andrea Gazzo, Sonia Van Dooren, Jan Aerts, Yves Moreau, Alexandre Renaux, Jan G. Schaart and Gabino Sanchez‐Perez. Their work appears in journals such as Artificial Intelligence in Medicine, Human Genetics and Genomics Advances, Plant Cell Reports, BMC Bioinformatics and Bioinformatics.
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.