Letícia C. Assis

786 total citations · 1 hit paper
20 papers, 502 citations indexed

About

Letícia C. Assis is a scholar working on Molecular Biology, Computational Theory and Mathematics and Organic Chemistry. According to data from OpenAlex, Letícia C. Assis has authored 20 papers receiving a total of 502 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 8 papers in Computational Theory and Mathematics and 5 papers in Organic Chemistry. Recurrent topics in Letícia C. Assis's work include Computational Drug Discovery Methods (8 papers), Synthesis and biological activity (4 papers) and Protein Structure and Dynamics (2 papers). Letícia C. Assis is often cited by papers focused on Computational Drug Discovery Methods (8 papers), Synthesis and biological activity (4 papers) and Protein Structure and Dynamics (2 papers). Letícia C. Assis collaborates with scholars based in Brazil, Czechia and Latvia. Letícia C. Assis's co-authors include Eduardo Habib Bechelane Maia, Alex Gutterres Taranto, Tiago Alves de Oliveira, Alisson Marques da Silva, Teodorico C. Ramalho, Elaine F. F. da Cunha, Alexandre A. de Castro, Kamil Kuča, Daniela Rodrigues Silva and Felipe A. La Porta and has published in prestigious journals such as Scientific Reports, International Journal of Molecular Sciences and RSC Advances.

In The Last Decade

Letícia C. Assis

19 papers receiving 493 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.

Structure-Based Virtual Screening: From Classical to Artificial Intelligence

2020 350 citations Eduardo Habib Bechelane Maia, Letícia C. Assis et al. Frontiers in Chemistry profile →

Peers

Letícia C. Assis

CTM

MB

OC

MC

PHARM

Pradeep Anand Ravindranath United States

V. Shanthi India

Sergio Ruiz‐Carmona Spain

Atefeh Saadabadi Finland

Thomas Gaillard France

José Teófilo Moreira‐Filho Brazil

Mohammad Haris Siddiqui India

Saad Raza Pakistan

Rajendra Bhadane Finland

Sorin Avram Romania

Pradeep Anand Ravindranath United States

Letícia C. Assis

209 ×0.8

CTM

308 ×1.3

MB

71 ×0.9

OC

53 ×0.8

MC

49 ×1.1

PHARM

Citations per year, relative to Letícia C. Assis Letícia C. Assis (= 1×) peers Pradeep Anand Ravindranath

Countries citing papers authored by Letícia C. Assis

Since Specialization

Citations

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

Fields of papers citing papers by Letícia C. Assis

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Letícia C. Assis. 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 Letícia C. Assis. The network helps show where Letícia C. Assis may publish in the future.

Co-authorship network of co-authors of Letícia C. Assis

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

1.

Castro, Alexandre A. de, Letícia C. Assis, Nerilson M. Lima, et al.. (2024). Carbon dots in the center of the spotlight: A full evaluation of their synthesis and understanding of their fundamental properties and applications. Materials Today Sustainability. 27. 100937–100937. 3 indexed citations

2.

Oliveira, Tiago Alves de, Eduardo Habib Bechelane Maia, Letícia C. Assis, et al.. (2022). Evaluation of Docking Machine Learning and Molecular Dynamics Methodologies for DNA-Ligand Systems. Pharmaceuticals. 15(2). 132–132. 14 indexed citations

3.

Castro, Alexandre A. de, et al.. (2022). Prospects of ZnS and ZnO as smart semiconductor materials in light-activated antimicrobial coatings for mitigation of severe acute respiratory syndrome coronavirus-2 infection. Materials Today Communications. 34. 105192–105192. 5 indexed citations

4.

Castro, Alexandre A. de, Letícia C. Assis, Elaine F. F. da Cunha, Teodorico C. Ramalho, & Felipe A. La Porta. (2022). New In Silico Insights into the Application of (Hydroxy)Chloroquine with Macrolide Antibiotic Co-Crystals against the SARS-CoV-2 Virus. COVID. 2(3). 230–243. 2 indexed citations

5.

Assis, Letícia C., Alexandre A. de Castro, Elaine F. F. da Cunha, et al.. (2021). Theoretical insights into the effect of halogenated substituent on the electronic structure and spectroscopic properties of the favipiravir tautomeric forms and its implications for the treatment of COVID-19. RSC Advances. 11(56). 35228–35244. 15 indexed citations

6.

Assis, Letícia C., Alexandre A. de Castro, Elaine F. F. da Cunha, et al.. (2021). Effect of drug metabolism in the treatment of SARS-CoV-2 from an entirely computational perspective. Scientific Reports. 11(1). 19998–19998. 6 indexed citations

7.

Assis, Letícia C., Francisco G.E. Nogueira, Elaine F. F. da Cunha, et al.. (2021). Hybrid Materials Based on Magnetic Iron Oxides with Benzothiazole Derivatives: A Plausible Potential Spectroscopy Probe. International Journal of Molecular Sciences. 22(8). 3980–3980. 7 indexed citations

8.

Assis, Letícia C., Alexandre A. de Castro, Eugenie Nepovimová, et al.. (2021). Computational evidence for nitro derivatives of quinoline and quinoline N-oxide as low-cost alternative for the treatment of SARS-CoV-2 infection. Scientific Reports. 11(1). 13 indexed citations

9.

Maia, Eduardo Habib Bechelane, Letícia C. Assis, Tiago Alves de Oliveira, Alisson Marques da Silva, & Alex Gutterres Taranto. (2020). Structure-Based Virtual Screening: From Classical to Artificial Intelligence. Frontiers in Chemistry. 8. 343–343. 350 indexed citations breakdown →

10.

Lima, William Gustavo, Eduardo Habib Bechelane Maia, Letícia C. Assis, et al.. (2020). Identification of a Potential Zika Virus Inhibitor Targeting NS5 Methyltransferase Using Virtual Screening and Molecular Dynamics Simulations. Journal of Chemical Information and Modeling. 60(2). 562–568. 13 indexed citations

11.

Castro, Alexandre A. de, et al.. (2020). Trends in the Recent Patent Literature on Cholinesterase Reactivators (2016–2019). Biomolecules. 10(3). 436–436. 16 indexed citations

12.

Silva, Daniela Rodrigues, et al.. (2018). Design of Novel N-Myristoyltransferase Inhibitors of Leishmania donovani Using Four-Dimensional Quantitative Structure-Activity Relationship Analysis. Journal of the Brazilian Chemical Society. 1 indexed citations

13.

Castro, Alexandre A. de, et al.. (2017). Computational enzymology for degradation of chemical warfare agents: promising technologies for remediation processes. AIMS Microbiology. 3(2). 108–135. 2 indexed citations

14.

Castro, Alexandre A. de, et al.. (2017). Computational enzymology for degradation of chemical warfare agents: promising technologies for remediation processes. AIMS Microbiology. 3(1). 108–135. 10 indexed citations

15.

Assis, Letícia C., et al.. (2016). Quantitative Structure-Activity Relationship Studies for Potential Rho-Associated Protein Kinase Inhibitors. Journal of Chemistry. 2016. 1–12. 11 indexed citations

16.

Assis, Letícia C., Daiana T. Mancini, Daniela Rodrigues Silva, et al.. (2016). Structure-based Drugs Design Studies on Spleen Tyrosine Kinase Inhibitors. Letters in Drug Design & Discovery. 13(9). 845–858. 2 indexed citations

17.

Assis, Letícia C., et al.. (2015). QSAR Models Guided by Molecular Dynamics Applied to Human Glucokinase Activators. Chemical Biology & Drug Design. 87(3). 455–466. 16 indexed citations

18.

Assis, Letícia C., et al.. (2015). QSAR analysis of nicotinamidic compounds and design of potential Bruton’s tyrosine kinase (Btk) inhibitors. Journal of Biomolecular Structure and Dynamics. 34(7). 1421–1440. 13 indexed citations

19.

Assis, Letícia C., et al.. (2013). Interactions of Pyrimidine Derivatives with Dihydrofolate Reductase and Thymidylate Synthase: Directions Toward Combating toxoplasmosis. Current Bioactive Compounds. 9(2). 153–166. 2 indexed citations

20.

Mancini, Daiana T., Letícia C. Assis, Teodorico C. Ramalho, Elaine F. F. da Cunha, & Tanos C. C. França. (2012). Toxoplasmose: Perspectivas no Estudo de Novos Alvos Terapêuticos. Revista Virtual de Química. 4(4). 434–455. 1 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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