Panayiotis V. Benos
- Molecular Biology top 2%
- Cancer Research top 1%
- Pulmonary and Respiratory Medicine top 2%
- Immunology top 5%
- Oncology top 5%
- Co-authors
- Shaun MahonyDavid L. CorcoranGary D. StormoClaudia CoronnelloNaftali KaminskiKusum PanditAlan S. LapedesKevin F. Gibson
- Topics
- Gene expression and cancer classification (24 papers)Genomics and Chromatin Dynamics (21 papers)RNA and protein synthesis mechanisms (18 papers)
- Partner nations
- United StatesChinaGreece
In The Last Decade
Panayiotis V. Benos
119 papers receiving 5.3k citations
Hit Papers
Peers
Comparison fields: 5 of 161
- Molecular Biology 3.4k
- Cancer Research 1.3k
- Pulmonary and Respiratory Medicine 978
- Immunology 594
- Oncology 469
Countries citing papers authored by Panayiotis V. Benos
This map shows the geographic impact of Panayiotis V. Benos'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 Panayiotis V. Benos with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Panayiotis V. Benos more than expected).
Fields of papers citing papers by Panayiotis V. Benos
This network shows the impact of papers produced by Panayiotis V. Benos. 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 Panayiotis V. Benos. The network helps show where Panayiotis V. Benos may publish in the future.
Co-authorship network of co-authors of Panayiotis V. Benos
This figure shows the co-authorship network connecting the top 25 collaborators of Panayiotis V. Benos. A scholar is included among the top collaborators of Panayiotis V. Benos 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 Panayiotis V. Benos. Panayiotis V. Benos 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 | 2 | |
| 3 | 2 | |
| 4 | 0 | |
| 5 | 1 | |
| 6 | 1 | |
| 7 | 11 | |
| 8 | 16 | |
| 9 | 7 | |
| 10 | 5 | |
| 11 | 10 | |
| 12 | 10 | |
| 13 | 54 | |
| 14 | 11 | |
| 15 | 6 | |
| 16 | 51 | |
| 17 | Spectral Clustering Strategies for Heterogeneous Disease Data. | 2 |
| 18 | 142 | |
| 19 | 371 | |
| 20 | 22 |
About Panayiotis V. Benos
Panayiotis V. Benos is a scholar working on Cancer Research, Molecular Biology and Aging, having authored 123 papers that have together received 5.3k indexed citations. Recurring topics across this work include Gene expression and cancer classification (24 papers), Genomics and Chromatin Dynamics (21 papers) and RNA and protein synthesis mechanisms (18 papers). The work is most often cited by research in Cancer Research (1.3k citations), Molecular Biology (3.4k citations) and Pulmonary and Respiratory Medicine (978 citations). Panayiotis V. Benos has collaborated with scholars based in United States, China and Greece. Frequent co-authors include Shaun Mahony, David L. Corcoran, Gary D. Stormo, Claudia Coronnello, Naftali Kaminski, Kusum Pandit, Alan S. Lapedes, Kevin F. Gibson, Robert Lafyatis and Tracy Tabib. 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.