Andrew G. Mercader
- Computational Theory and Mathematics top 1%
- Organic Chemistry top 10%
- Molecular Biology
- Spectroscopy top 10%
- Materials Chemistry
- Co-authors
- Pablo R. DuchowiczEduardo A. CastroFrancisco M. FernándezAlicia B. PomilioGustavo P. RomanelliBahareh HonarparvarDaniel O. BennardiJuan C. Autino
- Topics
- Computational Drug Discovery Methods (19 papers)Synthesis and biological activity (7 papers)Free Radicals and Antioxidants (4 papers)
- Journals
- International Journal of Molecular SciencesChemical Physics LettersEuropean Journal of Medicinal Chemistry
- Partner nations
- ArgentinaUnited KingdomSerbia
In The Last Decade
Andrew G. Mercader
25 papers receiving 622 citations
Peers
Comparison fields: 5 of 96
- Computational Theory and Mathematics 356
- Organic Chemistry 243
- Molecular Biology 175
- Spectroscopy 88
- Materials Chemistry 84
Countries citing papers authored by Andrew G. Mercader
This map shows the geographic impact of Andrew G. Mercader'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 Andrew G. Mercader with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Andrew G. Mercader more than expected).
Fields of papers citing papers by Andrew G. Mercader
This network shows the impact of papers produced by Andrew G. Mercader. 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 Andrew G. Mercader. The network helps show where Andrew G. Mercader may publish in the future.
Co-authorship network of co-authors of Andrew G. Mercader
This figure shows the co-authorship network connecting the top 25 collaborators of Andrew G. Mercader. A scholar is included among the top collaborators of Andrew G. Mercader 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 Andrew G. Mercader. Andrew G. Mercader 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 | 3 | |
| 3 | 10 | |
| 4 | 43 | |
| 5 | 21 | |
| 6 | 18 | |
| 7 | 13 | |
| 8 | 19 | |
| 9 | 13 | |
| 10 | 14 | |
| 11 | 8 | |
| 12 | 55 | |
| 13 | 50 | |
| 14 | 9 | |
| 15 | 22 | |
| 16 | 44 | |
| 17 | 7 | |
| 18 | 50 | |
| 19 | 21 | |
| 20 | Maximum topological distances based indices as molecular descriptors for QSPR | 5 |
About Andrew G. Mercader
Andrew G. Mercader is a scholar working on Computational Theory and Mathematics, Toxicology and Organic Chemistry, having authored 25 papers that have together received 639 indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (19 papers), Synthesis and biological activity (7 papers) and Free Radicals and Antioxidants (4 papers). The work is most often cited by research in Computational Theory and Mathematics (356 citations), Organic Chemistry (243 citations) and Toxicology (27 citations). Andrew G. Mercader has collaborated with scholars based in Argentina, United Kingdom and Serbia. Frequent co-authors include Pablo R. Duchowicz, Eduardo A. Castro, Francisco M. Fernández, Alicia B. Pomilio, Gustavo P. Romanelli, Bahareh Honarparvar, Daniel O. Bennardi, Juan C. Autino, Vijay H. Masand and Devidas T. Mahajan. Their work appears in journals such as International Journal of Molecular Sciences, Chemical Physics Letters and European Journal of Medicinal Chemistry.
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.