Ioannis N. Melas
- Co-authors
- Leonidas G. AlexopoulosAlexander MitsosJulio Sáez-RodríguezMelody K. MorrisTheodore SakellaropoulosDouglas A. LauffenburgerAn ChiSteffen Klamt
- Topics
- Computational Drug Discovery Methods (15 papers)Bioinformatics and Genomic Networks (13 papers)Gene Regulatory Network Analysis (6 papers)
- Partner nations
- GreeceUnited StatesUnited Kingdom
In The Last Decade
Ioannis N. Melas
24 papers receiving 406 citations
Peers
Comparison fields: 5 of 79
- Molecular Biology 282
- Computational Theory and Mathematics 117
- Rheumatology 52
- Immunology 49
- Oncology 34
Countries citing papers authored by Ioannis N. Melas
This map shows the geographic impact of Ioannis N. Melas'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 Ioannis N. Melas with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ioannis N. Melas more than expected).
Fields of papers citing papers by Ioannis N. Melas
This network shows the impact of papers produced by Ioannis N. Melas. 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 Ioannis N. Melas. The network helps show where Ioannis N. Melas may publish in the future.
Co-authorship network of co-authors of Ioannis N. Melas
This figure shows the co-authorship network connecting the top 25 collaborators of Ioannis N. Melas. A scholar is included among the top collaborators of Ioannis N. Melas 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 Ioannis N. Melas. Ioannis N. Melas is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 8 | |
| 2 | 1 | |
| 3 | 50 | |
| 4 | Matrix-induced adipose-derived mesenchymal stem cells implantation for knee articular cartilage repair. Two years follow-up. | 5 |
| 5 | Identification of drug-specific pathways based on gene expression data: application to drug induced lung injury | 1 |
| 6 | 2 | |
| 7 | 3 | |
| 8 | 35 | |
| 9 | 28 | |
| 10 | 38 | |
| 11 | 15 | |
| 12 | 29 | |
| 13 | 5 | |
| 14 | 26 | |
| 15 | 14 | |
| 16 | 10 | |
| 17 | 6 | |
| 18 | 23 | |
| 19 | 1 | |
| 20 | 89 |
About Ioannis N. Melas
Ioannis N. Melas is a scholar working on Computational Theory and Mathematics, Pharmacology and Molecular Biology, having authored 24 papers that have together received 410 indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (15 papers), Bioinformatics and Genomic Networks (13 papers) and Gene Regulatory Network Analysis (6 papers). The work is most often cited by research in Computational Theory and Mathematics (117 citations), Molecular Biology (282 citations) and Rheumatology (52 citations). Ioannis N. Melas has collaborated with scholars based in Greece, United States and United Kingdom. Frequent co-authors include Leonidas G. Alexopoulos, Alexander Mitsos, Julio Sáez-Rodríguez, Melody K. Morris, Theodore Sakellaropoulos, Douglas A. Lauffenburger, An Chi, Steffen Klamt, Regina Samaga and Thomas S. Weiß. Their work appears in journals such as Bioinformatics, PLoS ONE 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.