Marco A. C. Neves

1.3k total citations
16 papers, 1.1k citations indexed

About

Marco A. C. Neves is a scholar working on Molecular Biology, Computational Theory and Mathematics and Genetics. According to data from OpenAlex, Marco A. C. Neves has authored 16 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Molecular Biology, 8 papers in Computational Theory and Mathematics and 6 papers in Genetics. Recurrent topics in Marco A. C. Neves's work include Computational Drug Discovery Methods (8 papers), Estrogen and related hormone effects (5 papers) and Protein Structure and Dynamics (3 papers). Marco A. C. Neves is often cited by papers focused on Computational Drug Discovery Methods (8 papers), Estrogen and related hormone effects (5 papers) and Protein Structure and Dynamics (3 papers). Marco A. C. Neves collaborates with scholars based in Portugal, United States and Italy. Marco A. C. Neves's co-authors include Ruben Abagyan, Maxim Totrov, M. L. Sá e Melo, Giorgio Colombo, João F. S. Carvalho, Alcino J. Leitão, Maria Manuel Silva, Samuel Silvestre, Jorge A. R. Salvador and Teresa C.P. Dinis and has published in prestigious journals such as Journal of Biological Chemistry, PLoS ONE and The Journal of Physical Chemistry B.

In The Last Decade

Marco A. C. Neves

16 papers receiving 1.1k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Marco A. C. Neves Portugal 12 639 264 217 145 130 16 1.1k
Alexander V. Veselovsky Russia 18 662 1.0× 173 0.7× 154 0.7× 80 0.6× 88 0.7× 90 1.1k
Joseph A. Burlison United States 16 713 1.1× 170 0.6× 260 1.2× 66 0.5× 97 0.7× 18 1.1k
Zhongjie Liang China 23 1.1k 1.7× 282 1.1× 232 1.1× 70 0.5× 128 1.0× 60 1.6k
Timothy E. Benson United States 20 778 1.2× 254 1.0× 237 1.1× 148 1.0× 226 1.7× 27 1.5k
Katrin Stierand Germany 10 677 1.1× 304 1.2× 230 1.1× 45 0.3× 134 1.0× 15 1.2k
M. Yu. Lobanov Russia 9 886 1.4× 293 1.1× 165 0.8× 57 0.4× 82 0.6× 23 1.4k
R. Krishna India 22 699 1.1× 107 0.4× 261 1.2× 76 0.5× 136 1.0× 83 1.1k
Joseph Dundas United States 4 1.1k 1.7× 271 1.0× 136 0.6× 120 0.8× 127 1.0× 6 1.6k
Miriam Sgobba Italy 15 1.0k 1.6× 414 1.6× 178 0.8× 71 0.5× 81 0.6× 17 1.4k
Kerly Fernanda Mesquita Pasqualoto Brazil 20 502 0.8× 250 0.9× 381 1.8× 66 0.5× 125 1.0× 65 1.1k

Countries citing papers authored by Marco A. C. Neves

Since Specialization
Citations

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

Fields of papers citing papers by Marco A. C. Neves

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Marco A. C. Neves. 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 Marco A. C. Neves. The network helps show where Marco A. C. Neves may publish in the future.

Co-authorship network of co-authors of Marco A. C. Neves

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

All Works

16 of 16 papers shown
1.
Bonifácio, Maria João, Marco A. C. Neves, P. Nuno Palma, et al.. (2015). Characterization of the interaction of the novel antihypertensive etamicastat with human dopamine-β-hydroxylase: Comparison with nepicastat. European Journal of Pharmacology. 751. 50–58. 9 indexed citations
2.
Sun, Ning, Fung‐Yi Chan, Yu‐Jing Lu, et al.. (2014). Rational Design of Berberine-Based FtsZ Inhibitors with Broad-Spectrum Antibacterial Activity. PLoS ONE. 9(5). e97514–e97514. 109 indexed citations
3.
Chan, Fung‐Yi, Ning Sun, Marco A. C. Neves, et al.. (2013). Identification of a New Class of FtsZ Inhibitors by Structure-Based Design and in Vitro Screening. Journal of Chemical Information and Modeling. 53(8). 2131–2140. 69 indexed citations
4.
Neves, Marco A. C., Maxim Totrov, & Ruben Abagyan. (2012). Docking and scoring with ICM: the benchmarking results and strategies for improvement. Journal of Computer-Aided Molecular Design. 26(6). 675–686. 268 indexed citations
5.
Neves, Marco A. C., Mark Yeager, & Ruben Abagyan. (2012). Unusual Arginine Formations in Protein Function and Assembly: Rings, Strings, and Stacks. The Journal of Physical Chemistry B. 116(23). 7006–7013. 72 indexed citations
6.
Salvador, Jorge A. R., João F. S. Carvalho, Marco A. C. Neves, et al.. (2012). Anticancer steroids: linking natural and semi-synthetic compounds. Natural Product Reports. 30(2). 324–374. 231 indexed citations
7.
Chan, Fung‐Yi, Marco A. C. Neves, Ning Sun, et al.. (2012). Validation of the AmpC β-Lactamase Binding Site and Identification of Inhibitors with Novel Scaffolds. Journal of Chemical Information and Modeling. 52(5). 1367–1375. 3 indexed citations
8.
Paixão, J.A., et al.. (2010). 6-[(4-Fluorophenyl)(1H-imidazol-1-yl)methyl]-1,3-benzodioxol-5-ol and 6-[(4-methoxyphenyl)(1H-imidazol-1-yl)methyl]-1,3-benzodioxol-5-ol. Acta Crystallographica Section C Crystal Structure Communications. 66(10). o499–o502. 1 indexed citations
9.
Colombo, Giorgio, Laura Ragona, Marco A. C. Neves, et al.. (2010). Non-peptidic Thrombospondin-1 Mimics as Fibroblast Growth Factor-2 Inhibitors. Journal of Biological Chemistry. 285(12). 8733–8742. 63 indexed citations
10.
Neves, Marco A. C., Sérgio Simões, & M. L. Sá e Melo. (2010). Ligand-guided optimization of CXCR4 homology models for virtual screening using a multiple chemotype approach. Journal of Computer-Aided Molecular Design. 24(12). 1023–1033. 21 indexed citations
11.
Morra, Giulia, Marco A. C. Neves, Len Neckers, et al.. (2010). Dynamics-Based Discovery of Allosteric Inhibitors: Selection of New Ligands for the C-terminal Domain of Hsp90. Journal of Chemical Theory and Computation. 6(9). 2978–2989. 78 indexed citations
12.
Morra, Giulia, Alessandro Genoni, Marco A. C. Neves, Kenneth M. Merz, & Giorgio Colombo. (2009). Molecular Recognition and Drug-Lead Identification: What Can Molecular Simulations Tell Us?. Current Medicinal Chemistry. 17(1). 25–41. 36 indexed citations
13.
Neves, Marco A. C., Teresa C.P. Dinis, Giorgio Colombo, & M. L. Sá e Melo. (2009). An efficient steroid pharmacophore-based strategy to identify new aromatase inhibitors. European Journal of Medicinal Chemistry. 44(10). 4121–4127. 34 indexed citations
14.
Neves, Marco A. C., Teresa C.P. Dinis, Giorgio Colombo, & M. L. Sá e Melo. (2008). Fast Three Dimensional Pharmacophore Virtual Screening of New Potent Non-Steroid Aromatase Inhibitors. Journal of Medicinal Chemistry. 52(1). 143–150. 43 indexed citations
15.
Neves, Marco A. C., Teresa C.P. Dinis, Giorgio Colombo, & M. L. Sá e Melo. (2008). Biochemical and computational insights into the anti-aromatase activity of natural catechol estrogens. The Journal of Steroid Biochemistry and Molecular Biology. 110(1-2). 10–17. 8 indexed citations
16.
Neves, Marco A. C., Teresa C.P. Dinis, Giorgio Colombo, & M. L. Sá e Melo. (2007). Combining Computational and Biochemical Studies for a Rationale on the Anti‐Aromatase Activity of Natural Polyphenols. ChemMedChem. 2(12). 1750–1762. 25 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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