Miguel Machuqueiro

3.8k total citations · 1 hit paper
100 papers, 2.9k citations indexed

About

Miguel Machuqueiro is a scholar working on Molecular Biology, Organic Chemistry and Atomic and Molecular Physics, and Optics. According to data from OpenAlex, Miguel Machuqueiro has authored 100 papers receiving a total of 2.9k indexed citations (citations by other indexed papers that have themselves been cited), including 75 papers in Molecular Biology, 21 papers in Organic Chemistry and 16 papers in Atomic and Molecular Physics, and Optics. Recurrent topics in Miguel Machuqueiro's work include Protein Structure and Dynamics (30 papers), Lipid Membrane Structure and Behavior (17 papers) and DNA and Nucleic Acid Chemistry (16 papers). Miguel Machuqueiro is often cited by papers focused on Protein Structure and Dynamics (30 papers), Lipid Membrane Structure and Behavior (17 papers) and DNA and Nucleic Acid Chemistry (16 papers). Miguel Machuqueiro collaborates with scholars based in Portugal, Italy and Switzerland. Miguel Machuqueiro's co-authors include António M. Baptista, Tamis Darbre, Diogo Vila‐Viçosa, Vítor H. Teixeira, Sara R. R. Campos, Pedro B. P. S. Reis, Yehuda G. Assaraf, Jacob Kofoed, Bruno L. Victor and M. Helena Vasconcelos and has published in prestigious journals such as Journal of the American Chemical Society, Nucleic Acids Research and SHILAP Revista de lepidopterología.

In The Last Decade

Miguel Machuqueiro

97 papers receiving 2.9k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

The multi-factorial nature of clinical multidrug resistance in cancer

2019 409 citations Yehuda G. Assaraf, Miguel Machuqueiro et al. Drug Resistance Updates profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Miguel Machuqueiro Portugal	29	1.8k	630	332	327	309	100	2.9k
Jianping Lin China	34	2.2k 1.2×	554 0.9×	198 0.6×	316 1.0×	108 0.3×	125	3.7k
Alessandra Magistrato Italy	36	1.9k 1.0×	777 1.2×	732 2.2×	487 1.5×	229 0.7×	144	3.7k
Zsolt Bikádi Hungary	28	1.7k 0.9×	589 0.9×	932 2.8×	325 1.0×	107 0.3×	70	3.1k
Ferenc Zsila Hungary	30	2.1k 1.2×	684 1.1×	696 2.1×	332 1.0×	129 0.4×	128	3.6k
Nuno M. F. S. A. Cerqueira Portugal	30	1.6k 0.9×	492 0.8×	393 1.2×	396 1.2×	60 0.2×	93	2.9k
Art E. Cho South Korea	20	1.4k 0.8×	530 0.8×	178 0.5×	306 0.9×	122 0.4×	67	2.6k
Daumantas Matulis Lithuania	31	3.3k 1.8×	1.2k 1.8×	218 0.7×	398 1.2×	113 0.4×	159	4.4k
Camillo Rosano Italy	42	2.0k 1.1×	1.3k 2.0×	661 2.0×	432 1.3×	60 0.2×	143	4.4k
Andreas G. Tzakos Greece	34	1.8k 1.0×	665 1.1×	401 1.2×	271 0.8×	44 0.1×	171	4.1k
Laura Orian Italy	29	1.1k 0.6×	1.4k 2.2×	351 1.1×	641 2.0×	161 0.5×	149	4.1k

Countries citing papers authored by Miguel Machuqueiro

Since Specialization

Citations

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

Fields of papers citing papers by Miguel Machuqueiro

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Miguel Machuqueiro. 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 Miguel Machuqueiro. The network helps show where Miguel Machuqueiro may publish in the future.

Co-authorship network of co-authors of Miguel Machuqueiro

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

All Works

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20 of 20 papers shown

Roitberg, Adrián E., et al.. (2025). Adding the AMBER 14SB Force Field to the Stochastic Titration CpHMD Method. Journal of Chemical Theory and Computation. 21(13). 6292–6304. 1 indexed citations

Reis, Pedro B. P. S., et al.. (2025). Toward Accurate pH-Dependent Binding Constant Predictions Using Molecular Docking and Constant-pH MD Calculations. Journal of Chemical Theory and Computation. 21(5). 2655–2667. 1 indexed citations

Ladokhin, Alexey S., et al.. (2024). Constant-pH MD simulations of the protonation-triggered conformational switching in diphtheria toxin translocation domain. Biophysical Journal. 123(24). 4266–4273.

Sá, Marco de, Fernanda Marques, Jaime A. S. Coelho, et al.. (2024). Dual FGFR-targeting and pH-activatable ruthenium–peptide conjugates for targeted therapy of breast cancer. Dalton Transactions. 53(18). 7682–7693. 1 indexed citations

Salaroglio, Iris C., Xavier Fontrodona, Isabel Romero, et al.. (2023). Fighting Multidrug Resistance with Ruthenium–Cyclopentadienyl Compounds: Unveiling the Mechanism of P-gp Inhibition. Journal of Medicinal Chemistry. 66(20). 14080–14094. 4 indexed citations

Martins, Filomena, et al.. (2023). Synthesis and the In Vitro Evaluation of Antitumor Activity of Novel Thiobenzanilides. Molecules. 28(4). 1877–1877.

Faísca, Patrícia F. N., et al.. (2023). Interfacial Dynamics and Growth Modes of β₂-Microglobulin Dimers. Journal of Chemical Information and Modeling. 63(14). 4447–4457. 2 indexed citations

Reis, Pedro B. P. S., et al.. (2023). MembIT – A Tool to Calculate Solute Membrane Insertions and Deformations in Molecular Dynamics Simulations. Journal of Computational Biophysics and Chemistry. 22(5). 541–549. 2 indexed citations

Viegas, R.M. C., Ana S. Mestre, Miguel Machuqueiro, et al.. (2022). Key Factors for Activated Carbon Adsorption of Pharmaceutical Compounds from Wastewaters: A Multivariate Modelling Approach. Water. 14(2). 166–166. 21 indexed citations

10.

Istrate, Cláudia, Pedro Bule, Frederico Aires‐da‐Silva, et al.. (2022). In Silico Characterization of African Swine Fever Virus Nucleoprotein p10 Interaction with DNA. Viruses. 14(11). 2348–2348. 3 indexed citations

11.

Stark, Michal, et al.. (2020). The Lysosomotropic Activity of Hydrophobic Weak Base Drugs is Mediated via Their Intercalation into the Lysosomal Membrane. Cells. 9(5). 1082–1082. 47 indexed citations

12.

Dallavalle, Sabrina, Vladimir Dobričić, Loretta Lazzarato, et al.. (2020). Improvement of conventional anti-cancer drugs as new tools against multidrug resistant tumors. Drug Resistance Updates. 50. 100682–100682. 235 indexed citations

13.

Reis, Pedro B. P. S., et al.. (2019). Bioactivities of Centaurium erythraea (Gentianaceae) Decoctions: Antioxidant Activity, Enzyme Inhibition and Docking Studies. Molecules. 24(20). 3795–3795. 33 indexed citations

14.

Machuqueiro, Miguel, José Guilherme de Almeida, André Melo, et al.. (2019). Dynamical Rearrangement of Human Epidermal Growth Factor Receptor 2 upon Antibody Binding: Effects on the Dimerization. Biomolecules. 9(11). 706–706. 7 indexed citations

15.

Vila‐Viçosa, Diogo, et al.. (2017). A tale of two tails: The importance of unstructured termini in the aggregation pathway of β2‐microglobulin. Proteins Structure Function and Bioinformatics. 85(11). 2045–2057. 13 indexed citations

16.

Attia, Nebil, Pedro L. Falé, Rita Pacheco, et al.. (2017). Isorhamnetin derivatives and piscidic acid for hypercholesterolemia: cholesterol permeability, HMG-CoA reductase inhibition, and docking studies. Archives of Pharmacal Research. 40(11). 1278–1286. 43 indexed citations

17.

Filipe, Hugo A. L., Carla Sousa, Joaquim T. Marquês, et al.. (2017). Differential targeting of membrane lipid domains by caffeic acid and its ester derivatives. Free Radical Biology and Medicine. 115. 232–245. 48 indexed citations

18.

Estácio, Sílvia G., Heinrich Krobath, Diogo Vila‐Viçosa, et al.. (2014). A Simulated Intermediate State for Folding and Aggregation Provides Insights into ΔN6 β2-Microglobulin Amyloidogenic Behavior. PLoS Computational Biology. 10(5). e1003606–e1003606. 31 indexed citations

19.

Machuqueiro, Miguel & António M. Baptista. (2011). Is the prediction of pK_avalues by constant‐pH molecular dynamics being hindered by inherited problems?. Proteins Structure Function and Bioinformatics. 79(12). 3437–3447. 59 indexed citations

20.

Gamelas, Carla A., Nuno A. G. Bandeira, Cláudia C. L. Pereira, et al.. (2011). Indenyl ring slippage in crown thioether complexes [IndMo(CO)2L]+ and C–S activation of trithiacyclononane: Experimental and theoretical studies. Dalton Transactions. 40(40). 10513–10513. 17 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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