Paul Pavlidis
- Molecular Biology top 0.5%
- Genetics top 0.5%
- Cellular and Molecular Neuroscience top 1%
- Cancer Research top 1%
- Cognitive Neuroscience top 2%
- Co-authors
- William Stafford NobleJesse GillisJie QinHomin K. LeeMeeta MistryAmy K HsuNikolaus FortelnyChristopher M. Overall
- Topics
- Bioinformatics and Genomic Networks (44 papers)Gene expression and cancer classification (35 papers)Biomedical Text Mining and Ontologies (15 papers)
- Partner nations
- CanadaUnited StatesUnited Kingdom
In The Last Decade
Paul Pavlidis
150 papers receiving 11.5k citations
Hit Papers
Peers
Comparison fields: 5 of 182
- Molecular Biology 7.5k
- Genetics 1.9k
- Cellular and Molecular Neuroscience 1.7k
- Cancer Research 1.1k
- Cognitive Neuroscience 1.0k
Countries citing papers authored by Paul Pavlidis
This map shows the geographic impact of Paul Pavlidis'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 Paul Pavlidis with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Paul Pavlidis more than expected).
Fields of papers citing papers by Paul Pavlidis
This network shows the impact of papers produced by Paul Pavlidis. 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 Paul Pavlidis. The network helps show where Paul Pavlidis may publish in the future.
Co-authorship network of co-authors of Paul Pavlidis
This figure shows the co-authorship network connecting the top 25 collaborators of Paul Pavlidis. A scholar is included among the top collaborators of Paul Pavlidis 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 Paul Pavlidis. Paul Pavlidis is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 4 | |
| 3 | 2 | |
| 4 | 22 | |
| 5 | 2 | |
| 6 | 25 | |
| 7 | 43 | |
| 8 | 7 | |
| 9 | 90 | |
| 10 | 35 | |
| 11 | 54 | |
| 12 | Linking Wikidata to the Rest of the Semantic Web. | 1 |
| 13 | 43 | |
| 14 | 243 | |
| 15 | Cross-Scale Mapping of Gene Expression to Neuroimaging Datasets via Semantic Decomposition | 1 |
| 16 | 121 | |
| 17 | 37 | |
| 18 | 78 | |
| 19 | 257 | |
| 20 | 143 |
About Paul Pavlidis
Paul Pavlidis is a scholar working on Molecular Biology, Periodontics and Biophysics, having authored 152 papers that have together received 11.7k indexed citations. Recurring topics across this work include Bioinformatics and Genomic Networks (44 papers), Gene expression and cancer classification (35 papers) and Biomedical Text Mining and Ontologies (15 papers). The work is most often cited by research in Biological Psychiatry (412 citations), Molecular Biology (7.5k citations) and Cellular and Molecular Neuroscience (1.7k citations). Paul Pavlidis has collaborated with scholars based in Canada, United States and United Kingdom. Frequent co-authors include William Stafford Noble, Jesse Gillis, Jie Qin, Homin K. Lee, Meeta Mistry, Amy K Hsu, Nikolaus Fortelny, Christopher M. Overall, Daniel V. Madison and Etienne Sibille. Their work appears in journals such as Nature, Science and Cell.
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.