Katerina Kechris
- Molecular Biology top 5%
- Pulmonary and Respiratory Medicine top 5%
- Cancer Research top 5%
- Physiology top 5%
- Pediatrics, Perinatology and Child Health top 2%
- Co-authors
- Russell P. BowlerIvana V. YangBoris TabakoffDana DabeleaDavid A. SchwartzBrent S. PedersenSean JacobsonNichole Reisdorph
- Topics
- Bioinformatics and Genomic Networks (28 papers)Chronic Obstructive Pulmonary Disease (COPD) Research (26 papers)Metabolomics and Mass Spectrometry Studies (23 papers)
- Partner nations
- United StatesGermanyCanada
In The Last Decade
Katerina Kechris
144 papers receiving 3.7k citations
Hit Papers
Peers
Comparison fields: 5 of 153
- Molecular Biology 2.0k
- Pulmonary and Respiratory Medicine 755
- Cancer Research 518
- Physiology 483
- Pediatrics, Perinatology and Child Health 440
Countries citing papers authored by Katerina Kechris
This map shows the geographic impact of Katerina Kechris'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 Katerina Kechris with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Katerina Kechris more than expected).
Fields of papers citing papers by Katerina Kechris
This network shows the impact of papers produced by Katerina Kechris. 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 Katerina Kechris. The network helps show where Katerina Kechris may publish in the future.
Co-authorship network of co-authors of Katerina Kechris
This figure shows the co-authorship network connecting the top 25 collaborators of Katerina Kechris. A scholar is included among the top collaborators of Katerina Kechris 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 Katerina Kechris. Katerina Kechris 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 | 3 | |
| 3 | 8 | |
| 4 | 0 | |
| 5 | 1 | |
| 6 | 4 | |
| 7 | 16 | |
| 8 | 6 | |
| 9 | 14 | |
| 10 | 3 | |
| 11 | 6 | |
| 12 | 3 | |
| 13 | 5 | |
| 14 | 16 | |
| 15 | 40 | |
| 16 | 44 | |
| 17 | 82 | |
| 18 | 36 | |
| 19 | 89 | |
| 20 | 16 |
About Katerina Kechris
Katerina Kechris is a scholar working on Obstetrics and Gynecology, Computational Mathematics and Molecular Biology, having authored 151 papers that have together received 3.7k indexed citations. Recurring topics across this work include Bioinformatics and Genomic Networks (28 papers), Chronic Obstructive Pulmonary Disease (COPD) Research (26 papers) and Metabolomics and Mass Spectrometry Studies (23 papers). The work is most often cited by research in Cancer Research (518 citations), Obstetrics and Gynecology (269 citations) and Molecular Biology (2.0k citations). Katerina Kechris has collaborated with scholars based in United States, Germany and Canada. Frequent co-authors include Russell P. Bowler, Ivana V. Yang, Boris Tabakoff, Dana Dabelea, David A. Schwartz, Brent S. Pedersen, Sean Jacobson, Nichole Reisdorph, Laura Saba and Richard A. Radcliffe. Their work appears in journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and Nature Communications.
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.