Panayiotis V. Benos

15.1k citations
123 papers · 5.3k indexed · 3 hit papers · h-index 34
    • MicroRNA in disease regulation 18
    • Cancer-related molecular mechanisms research 9
    • Gene expression and cancer classification 24
    • Genomics and Chromatin Dynamics 21
    • RNA and protein synthesis mechanisms 18
    • Bioinformatics and Genomic Networks 17
    • RNA Research and Splicing 11
    • RNA modifications and cancer 9
  • Immunology top 5%
  • Aging top 5%

Panayiotis V. Benos

119 papers receiving 5.3k citations

Hit Papers

Proliferating SPP1/MERTK-expressing m...4612010202620152020100200300400500

Peers

Panayiotis V. Benos
Comparison fields: 5 of 161
  • Cancer Research 1.3k
  • Molecular Biology 3.4k
  • Pulmonary and Respiratory Medicine 978
  • Immunology 594
  • Aging 47
Replace Tim Beißbarth with:
Tim Beißbarth Germany
Ola Larsson Sweden
Gregory W. Gundersen United States
Cristin G. Print New Zealand
Henry Yang Singapore
Jun Dong China
Jun Zhu United States
Anton Buzdin Russia
Edward Y. Chen United States
Yu Zhou China
Panayiotis V. Benos relative to Tim Beißbarth Germany Tim Beißbarth's profile →
Citations per field
00.5×1.5×
Tim Beißbarth · 1×
Citations per year

Countries citing papers authored by Panayiotis V. Benos

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

The 25 scholars most cited alongside Panayiotis V. Benos, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Panayiotis V. Benos Line = papers co-authored together Panayiotis V. Benos links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20251
2 20252
3 20242
4 20240
5 20241
6 20231
7 202311
8 202316
9 20237
10 20225
11 202210
12 202010
13 202054
14 201911
15 20196
16 201751
17
Spectral Clustering Strategies for Heterogeneous Disease Data.
20132
18 2012142
19 2007371
20 200522

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), RNA and protein synthesis mechanisms (18 papers), MicroRNA in disease regulation (18 papers), Bioinformatics and Genomic Networks (17 papers), RNA Research and Splicing (11 papers), RNA modifications and cancer (9 papers) and Cancer-related molecular mechanisms research (9 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 Nucleic Acids Research, Bioinformatics, PLoS ONE, BMC Bioinformatics and Scientific Reports.

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.

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