Moacyr Comar

417 total citations
36 papers, 298 citations indexed

About

Moacyr Comar is a scholar working on Molecular Biology, Public Health, Environmental and Occupational Health and Organic Chemistry. According to data from OpenAlex, Moacyr Comar has authored 36 papers receiving a total of 298 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Molecular Biology, 9 papers in Public Health, Environmental and Occupational Health and 7 papers in Organic Chemistry. Recurrent topics in Moacyr Comar's work include Computational Drug Discovery Methods (6 papers), Advanced Chemical Physics Studies (5 papers) and Malaria Research and Control (5 papers). Moacyr Comar is often cited by papers focused on Computational Drug Discovery Methods (6 papers), Advanced Chemical Physics Studies (5 papers) and Malaria Research and Control (5 papers). Moacyr Comar collaborates with scholars based in Brazil, Denmark and Portugal. Moacyr Comar's co-authors include Alex Gutterres Taranto, Albérico B. F. da Silva, Kélson Mota Teixeira de Oliveira, Andrana K. Calgarotto, Saulo L. da Silva, José Augusto Ferreira Perez Villar, Paulo A. Baldasso, Alfredo R. M. Oliveira, Sérgio Marangoni and José Walkimar de M. Carneiro and has published in prestigious journals such as SHILAP Revista de lepidopterología, Electrochimica Acta and Human Reproduction.

In The Last Decade

Moacyr Comar

35 papers receiving 291 citations

Peers

Moacyr Comar
Mili Das India
Moacyr Comar
Citations per year, relative to Moacyr Comar Moacyr Comar (= 1×) peers Mili Das

Countries citing papers authored by Moacyr Comar

Since Specialization
Citations

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

Fields of papers citing papers by Moacyr Comar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Moacyr Comar

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

All Works

20 of 20 papers shown
1.
Comar, Moacyr, et al.. (2024). Exploring Binding Sites in Chagas Disease Protein TcP21 Using Integrated Mixed Solvent Molecular Dynamics Approaches. Journal of Chemical Information and Modeling. 65(1). 363–377. 1 indexed citations
2.
Arantes, Luciano C., Lucas V. de Faria, Kelly Francisco da Cunha, et al.. (2023). Oxygen plasma-treated graphite sheet electrodes: A sensitive and disposable sensor for methamphetamines. Electrochimica Acta. 467. 143089–143089. 11 indexed citations
3.
Comar, Moacyr, et al.. (2023). In Silico Evaluation of Oligomeric Representations for Molecularly Imprinted Polymer Modeling Using a Biological Template. Journal of Chemical Information and Modeling. 63(21). 6740–6755. 1 indexed citations
4.
Comar, Moacyr, et al.. (2023). An experimental and theoretical approach to electrochemical sensing of hydrazine at silver and copper hexacyanoferrates electrodes. Electrochimica Acta. 445. 142018–142018. 9 indexed citations
5.
Comar, Moacyr, et al.. (2020). Reverse and structural vaccinology approach to design a highly immunogenic multi-epitope subunit vaccine against Streptococcus pneumoniae infection. Infection Genetics and Evolution. 85. 104473–104473. 14 indexed citations
6.
Barbosa, Leandro A., Moacyr Comar, Hérica de Lima Santos, et al.. (2019). Assays with recombinant soluble isoforms of DC-SIGN, a dengue virus ligand, show variation in their ability to bind to mannose residues. Archives of Virology. 164(11). 2793–2797. 1 indexed citations
7.
Villar, José Augusto Ferreira Perez, Moacyr Comar, Alex Gutterres Taranto, et al.. (2017). Rational selection of immunodominant and preserved epitope Sm043300e from Schistosoma mansoni and design of a chimeric molecule for biotechnological purposes. Molecular Immunology. 93. 133–143. 5 indexed citations
8.
Comar, Moacyr, et al.. (2017). Is a non-synonymous SNP in the HvAACT1 coding region associated with acidic soil tolerance in barley?. Genetics and Molecular Biology. 40(2). 480–490. 6 indexed citations
9.
Fonseca, Amanda Luisa da, et al.. (2016). Docking, QM/MM, and molecular dynamics simulations of the hexose transporter from Plasmodium falciparum (PfHT). Journal of Molecular Graphics and Modelling. 66. 174–186. 13 indexed citations
11.
Cortes, Vanessa Faria, Andersson Barison, Fábio Vieira dos Santos, et al.. (2015). γ-Benzylidene digoxin derivatives synthesis and molecular modeling: Evaluation of anticancer and the Na,K-ATPase activity effect. Bioorganic & Medicinal Chemistry. 23(15). 4397–4404. 15 indexed citations
12.
Silva, José A.C., Marcus B. Smolka, Fábio C. Gozzo, et al.. (2015). Primary Structure of a Trypsin Inhibitor (Copaifera langsdorffii Trypsin Inhibitor-1) Obtained from C. langsdorffii Seeds. Journal of Biomolecular Techniques JBT. 26(3). 90–102. 2 indexed citations
13.
Lopes, Débora de Oliveira, Alex Gutterres Taranto, Luciana Lara dos Santos, et al.. (2013). Identification of a vaccine against schistosomiasis using bioinformatics and molecular modeling tools. Infection Genetics and Evolution. 20. 83–95. 13 indexed citations
14.
Assis, Sandra Aparecida de, Aristóteles Goés‐Neto, Ângelo Duarte, et al.. (2013). Structure-based drug design studies of UDP-N-acetylglucosamine pyrophosphosrylase, a key enzyme for the control of witches’ broom disease. Chemistry Central Journal. 7(1). 48–48. 6 indexed citations
15.
Comar, Moacyr, et al.. (2012). Construção do Receptor CYSLTR1 por Modelagem Comparativa. SHILAP Revista de lepidopterología. 33(4). 591–596. 1 indexed citations
16.
Viana, Rommel B., et al.. (2012). First- and second-row transition metal oxa-aza macrocyclic complexes: a DFT study of an octahedral conformation. Journal of Molecular Modeling. 18(7). 3243–3253. 7 indexed citations
17.
Taranto, Alex Gutterres, et al.. (2011). TRIAGEM VIRTUAL INVERSA COMO FERRAMENTA PARA A QUÍMICA DE PRODUTOS NATURAIS. Revista Eletrônica de Farmácia. 8(1). 1 indexed citations
18.
Silva, Saulo L. da, Andrana K. Calgarotto, Daniela D’Amico, et al.. (2008). Molecular modeling and inhibition of phospholipase A2 by polyhydroxy phenolic compounds. European Journal of Medicinal Chemistry. 44(1). 312–321. 50 indexed citations
19.
Macedo, Luiz Guilherme Machado de, Roberto L. A. Haiduke, Moacyr Comar, & Albérico B. F. da Silva. (2006). Adapted relativistic prolapse‐free Gaussian basis sets for closed shell atoms up to nobelium and to be used with the uniform sphere nucleus model. International Journal of Quantum Chemistry. 106(13). 2790–2803. 2 indexed citations
20.
Haiduke, Roberto L. A., Moacyr Comar, & Albérico B. F. da Silva. (2006). The employment of relativistic adapted Gaussian basis sets in Douglas–Kroll–Hess scalar calculations with diatomic molecules. Chemical Physics. 331(1). 173–177. 7 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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