Irene Papatheodorou
- Molecular Biology top 10%
- Aging top 1%
- Immunology
- Genetics
- Cancer Research top 10%
- Co-authors
- Alvis BrāzmaNancy GeorgeUğis SarkansHaider IqbalAnja FüllgrabeAwais AtharAhmed Yousif AliRobert Petryszak
- Topics
- Single-cell and spatial transcriptomics (15 papers)Bioinformatics and Genomic Networks (9 papers)Genetics, Aging, and Longevity in Model Organisms (7 papers)
- Cited by
- AgingBiophysicsMolecular Biology
- Partner nations
- United KingdomUnited StatesRussia
In The Last Decade
Irene Papatheodorou
44 papers receiving 1.4k citations
Hit Papers
Peers
Comparison fields: 5 of 118
- Molecular Biology 988
- Aging 200
- Immunology 176
- Genetics 166
- Cancer Research 163
Countries citing papers authored by Irene Papatheodorou
This map shows the geographic impact of Irene Papatheodorou'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 Irene Papatheodorou with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Irene Papatheodorou more than expected).
Fields of papers citing papers by Irene Papatheodorou
This network shows the impact of papers produced by Irene Papatheodorou. 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 Irene Papatheodorou. The network helps show where Irene Papatheodorou may publish in the future.
Co-authorship network of co-authors of Irene Papatheodorou
This figure shows the co-authorship network connecting the top 25 collaborators of Irene Papatheodorou. A scholar is included among the top collaborators of Irene Papatheodorou 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 Irene Papatheodorou. Irene Papatheodorou is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 1 | |
| 3 | 1 | |
| 4 | 1 | |
| 5 | 2 | |
| 6 | 43 | |
| 7 | 30 | |
| 8 | 8 | |
| 9 | 16 | |
| 10 | 15 | |
| 11 | 9 | |
| 12 | 144 | |
| 13 | 37 | |
| 14 | A compendium of uniformly processed human gene expression and splicing quantitative trait locibreakdown → | 165 |
| 15 | ArrayExpress update – from bulk to single-cell expression databreakdown → | 377 |
| 16 | 19 | |
| 17 | 4 | |
| 18 | 9 | |
| 19 | 29 | |
| 20 | Global analysis of gene expression profiles reveals both shared and distinct roles of Hnf4 alpha | 1 |
About Irene Papatheodorou
Irene Papatheodorou is a scholar working on Aging, Biophysics and Molecular Biology, having authored 45 papers that have together received 1.4k indexed citations. Recurring topics across this work include Single-cell and spatial transcriptomics (15 papers), Bioinformatics and Genomic Networks (9 papers) and Genetics, Aging, and Longevity in Model Organisms (7 papers). The work is most often cited by research in Aging (200 citations), Biophysics (85 citations) and Molecular Biology (988 citations). Irene Papatheodorou has collaborated with scholars based in United Kingdom, United States and Russia. Frequent co-authors include Alvis Brāzma, Nancy George, Uğis Sarkans, Haider Iqbal, Anja Füllgrabe, Awais Athar, Ahmed Yousif Ali, Robert Petryszak, Nuno A. Fonseca and Catherine Snow. Their work appears in journals such as Nucleic Acids Research, Nature Communications 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.