Lazaros Mavridis
- Molecular Biology
- Computational Theory and Mathematics top 2%
- Materials Chemistry
- Organic Chemistry
- Pharmacology top 10%
- Co-authors
- David W. RitchieVishwesh VenkatramanMarie‐Dominique DevignesRobert W. JanesVioleta I. Pérez‐NuenoJohn B. O. MitchellBrian D. HudsonLee Whitmore
- Topics
- Protein Structure and Dynamics (12 papers)Computational Drug Discovery Methods (8 papers)Metabolomics and Mass Spectrometry Studies (5 papers)
- Partner nations
- United KingdomFranceGermany
In The Last Decade
Lazaros Mavridis
25 papers receiving 1.0k citations
Hit Papers
Peers
Comparison fields: 5 of 114
- Molecular Biology 668
- Computational Theory and Mathematics 319
- Materials Chemistry 171
- Organic Chemistry 116
- Pharmacology 114
Countries citing papers authored by Lazaros Mavridis
This map shows the geographic impact of Lazaros Mavridis'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 Lazaros Mavridis with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lazaros Mavridis more than expected).
Fields of papers citing papers by Lazaros Mavridis
This network shows the impact of papers produced by Lazaros Mavridis. 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 Lazaros Mavridis. The network helps show where Lazaros Mavridis may publish in the future.
Co-authorship network of co-authors of Lazaros Mavridis
This figure shows the co-authorship network connecting the top 25 collaborators of Lazaros Mavridis. A scholar is included among the top collaborators of Lazaros Mavridis 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 Lazaros Mavridis. Lazaros Mavridis is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 3 | |
| 2 | 5 | |
| 3 | 28 | |
| 4 | 46 | |
| 5 | 56 | |
| 6 | 15 | |
| 7 | 5 | |
| 8 | 11 | |
| 9 | 14 | |
| 10 | 16 | |
| 11 | 11 | |
| 12 | 31 | |
| 13 | 5 | |
| 14 | 4 | |
| 15 | 2 | |
| 16 | 9 | |
| 17 | 107 | |
| 18 | SHREC'10 Track: Protein Models | 3 |
| 19 | HexServer: an FFT-based protein docking server powered by graphics processorsbreakdown → | 511 |
| 20 | 51 |
About Lazaros Mavridis
Lazaros Mavridis is a scholar working on Computational Theory and Mathematics, Spectroscopy and Molecular Biology, having authored 25 papers that have together received 1.1k indexed citations. Recurring topics across this work include Protein Structure and Dynamics (12 papers), Computational Drug Discovery Methods (8 papers) and Metabolomics and Mass Spectrometry Studies (5 papers). The work is most often cited by research in Computational Theory and Mathematics (319 citations), Molecular Biology (668 citations) and Pharmacology (114 citations). Lazaros Mavridis has collaborated with scholars based in United Kingdom, France and Germany. Frequent co-authors include David W. Ritchie, Vishwesh Venkatraman, Marie‐Dominique Devignes, Robert W. Janes, Violeta I. Pérez‐Nueno, John B. O. Mitchell, Brian D. Hudson, Lee Whitmore, B.A. Wallace and Danica Agbaba. Their work appears in journals such as Nucleic Acids Research, Bioinformatics and Biophysical Journal.
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.