Georgia Melagraki
- Computational Theory and Mathematics top 0.2%
- Computational Drug Discovery Methods 52
- Organic Chemistry top 2%
- Synthesis and biological activity 10
- Pharmacology top 5%
- Cholinesterase and Neurodegenerative Diseases 10
- Materials Chemistry top 5%
- Machine Learning in Materials Science 15
- Nanoparticles: synthesis and applications 15
- Toxicology top 5%
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- Metabolomics and Mass Spectrometry Studies 6
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- Analytical Chemistry and Chromatography 6
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- Graphene and Nanomaterials Applications 6
- Co-authors
- Antreas AfantitisHaralambos SarimveisOlga Igglessi‐MarkopoulouIseult LynchPanayiotis A. KoutentisGeorge KolliasJohn MarkopoulosVarnavas D. Mouchlis
- Journals
- SHILAP Revista de lepidopterología (1 paper)ACS Nano (1 paper)Nature Nanotechnology (1 paper)
- Partner nations
- GreeceUnited KingdomCyprus
In The Last Decade
Georgia Melagraki
103 papers receiving 3.0k citations
Hit Papers
Peers
Comparison fields: 5 of 159
- Computational Theory and Mathematics 1.3k
- Organic Chemistry 792
- Pharmacology 316
- Materials Chemistry 755
- Toxicology 54
Countries citing papers authored by Georgia Melagraki
This map shows the geographic impact of Georgia Melagraki'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 Georgia Melagraki with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Georgia Melagraki more than expected).
Fields of papers citing papers by Georgia Melagraki
This network shows the impact of papers produced by Georgia Melagraki. 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 Georgia Melagraki. The network helps show where Georgia Melagraki may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Georgia Melagraki, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2026 | 0 | |
| 2 | 2025 | 1 | |
| 3 | 2025 | 0 | |
| 4 | 2025 | 3 | |
| 5 | 2025 | 2 | |
| 6 | 2025 | 2 | |
| 7 | 2024 | 7 | |
| 8 | 2024 | 5 | |
| 9 | 2024 | 2 | |
| 10 | 2023 | 7 | |
| 11 | 2023 | 16 | |
| 12 | 2023 | 17 | |
| 13 | 2021 | 18 | |
| 14 | 2020 | 40 | |
| 15 | 2020 | 9 | |
| 16 | 2020 | 40 | |
| 17 | 2019 | 9 | |
| 18 | 2017 | 22 | |
| 19 | 2016 | 3 | |
| 20 | 2012 | 17 |
About Georgia Melagraki
Georgia Melagraki is a scholar working on Computational Theory and Mathematics, Chemical Health and Safety and Toxicology, having authored 111 papers that have together received 3.1k indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (52 papers), Machine Learning in Materials Science (15 papers), Nanoparticles: synthesis and applications (15 papers), Synthesis and biological activity (10 papers), Cholinesterase and Neurodegenerative Diseases (10 papers), Metabolomics and Mass Spectrometry Studies (6 papers), Analytical Chemistry and Chromatography (6 papers) and Graphene and Nanomaterials Applications (6 papers). The work is most often cited by research in Computational Theory and Mathematics (1.3k citations), Organic Chemistry (792 citations) and Pharmacology (316 citations). Georgia Melagraki has collaborated with scholars based in Greece, United Kingdom and Cyprus. Frequent co-authors include Antreas Afantitis, Haralambos Sarimveis, Olga Igglessi‐Markopoulou, Iseult Lynch, Panayiotis A. Koutentis, George Kollias, John Markopoulos, Varnavas D. Mouchlis, Anastasios G. Papadiamantis and Andreas Tsoumanis. Their work appears in journals such as SHILAP Revista de lepidopterología, ACS Nano and Nature Nanotechnology.
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.