Sílvia A. Martins

472 total citations
7 papers, 356 citations indexed

About

Sílvia A. Martins is a scholar working on Computational Theory and Mathematics, Organic Chemistry and Molecular Biology. According to data from OpenAlex, Sílvia A. Martins has authored 7 papers receiving a total of 356 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Computational Theory and Mathematics, 3 papers in Organic Chemistry and 3 papers in Molecular Biology. Recurrent topics in Sílvia A. Martins's work include Computational Drug Discovery Methods (4 papers), Protein Structure and Dynamics (2 papers) and Free Radicals and Antioxidants (2 papers). Sílvia A. Martins is often cited by papers focused on Computational Drug Discovery Methods (4 papers), Protein Structure and Dynamics (2 papers) and Free Radicals and Antioxidants (2 papers). Sílvia A. Martins collaborates with scholars based in Portugal and Brazil. Sílvia A. Martins's co-authors include Pedro Alexandrino Fernandes, Maria J. Ramos, Sérgio F. Sousa, N. S. Hari Narayana Moorthy, João T. S. Coimbra, Rui P. P. Neves, António J. M. Ribeiro, Marta A. S. Perez, Irina S. Moreira and Ana I.M.C. Lobo Ferreira and has published in prestigious journals such as Journal of Computational Chemistry, Journal of Chemical Theory and Computation and RSC Advances.

In The Last Decade

Sílvia A. Martins

7 papers receiving 354 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Sílvia A. Martins Portugal 7 207 134 68 67 49 7 356
Soumendranath Bhakat South Africa 14 334 1.6× 202 1.5× 120 1.8× 106 1.6× 66 1.3× 32 621
A. C. Good United States 8 241 1.2× 282 2.1× 41 0.6× 82 1.2× 67 1.4× 11 442
D’Artagnan Greene United States 7 403 1.9× 165 1.2× 62 0.9× 77 1.1× 53 1.1× 14 583
Yalong Cong China 13 299 1.4× 138 1.0× 93 1.4× 49 0.7× 52 1.1× 30 478
Marina Udier–Blagović United States 9 251 1.2× 84 0.6× 124 1.8× 134 2.0× 66 1.3× 9 472
Shalley N. Kudalkar United States 9 177 0.9× 165 1.2× 149 2.2× 92 1.4× 26 0.5× 16 395
Abhilash Jayaraj India 12 153 0.7× 154 1.1× 105 1.5× 89 1.3× 33 0.7× 21 414
Atefeh Saadabadi Finland 7 205 1.0× 155 1.2× 37 0.5× 89 1.3× 49 1.0× 13 470
Raudah Lazim Singapore 9 275 1.3× 85 0.6× 38 0.6× 31 0.5× 53 1.1× 18 392
Catherine Burt United Kingdom 10 146 0.7× 114 0.9× 158 2.3× 174 2.6× 29 0.6× 11 452

Countries citing papers authored by Sílvia A. Martins

Since Specialization
Citations

This map shows the geographic impact of Sílvia A. Martins'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 Sílvia A. Martins with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sílvia A. Martins more than expected).

Fields of papers citing papers by Sílvia A. Martins

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Sílvia A. Martins. 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 Sílvia A. Martins. The network helps show where Sílvia A. Martins may publish in the future.

Co-authorship network of co-authors of Sílvia A. Martins

This figure shows the co-authorship network connecting the top 25 collaborators of Sílvia A. Martins. A scholar is included among the top collaborators of Sílvia A. Martins 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 Sílvia A. Martins. Sílvia A. Martins is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

7 of 7 papers shown
1.
Martins, Sílvia A., Sérgio F. Sousa, Maria J. Ramos, & Pedro Alexandrino Fernandes. (2014). Prediction of Solvation Free Energies with Thermodynamic Integration Using the General Amber Force Field. Journal of Chemical Theory and Computation. 10(8). 3570–3577. 36 indexed citations
2.
Moorthy, N. S. Hari Narayana, Sílvia A. Martins, Sérgio F. Sousa, Maria J. Ramos, & Pedro Alexandrino Fernandes. (2014). Classification study of solvation free energies of organic molecules using machine learning techniques. RSC Advances. 4(106). 61624–61630. 13 indexed citations
3.
Sousa, Sérgio F., António J. M. Ribeiro, João T. S. Coimbra, et al.. (2013). Protein-Ligand Docking in the New Millennium – A Retrospective of 10 Years in the Field. Current Medicinal Chemistry. 20(18). 2296–2314. 166 indexed citations
4.
Martins, Sílvia A. & Sérgio F. Sousa. (2013). Comparative assessment of computational methods for the determination of solvation free energies in alcohol‐based molecules. Journal of Computational Chemistry. 34(15). 1354–1362. 19 indexed citations
5.
Martins, Sílvia A., Marta A. S. Perez, Irina S. Moreira, et al.. (2013). Computational Alanine Scanning Mutagenesis: MM-PBSA vs TI. Journal of Chemical Theory and Computation. 9(3). 1311–1319. 63 indexed citations
6.
Silva, Manuel A.V. Ribeiro da, et al.. (2011). Standard molar enthalpies of formation of 1- and 2-cyanonaphthalene. The Journal of Chemical Thermodynamics. 43(9). 1306–1314. 6 indexed citations
7.
Martins, Sílvia A., Maria J. Ramos, & Pedro Alexandrino Fernandes. (2008). The Current Status of the NNRTI Family of Antiretrovirals Used Against HIV Infection. Current Medicinal Chemistry. 15(11). 1083–1095. 53 indexed citations

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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