Ryan da Silva Ramos

872 total citations
43 papers, 645 citations indexed

About

Ryan da Silva Ramos is a scholar working on Computational Theory and Mathematics, Organic Chemistry and Plant Science. According to data from OpenAlex, Ryan da Silva Ramos has authored 43 papers receiving a total of 645 indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Computational Theory and Mathematics, 15 papers in Organic Chemistry and 14 papers in Plant Science. Recurrent topics in Ryan da Silva Ramos's work include Computational Drug Discovery Methods (22 papers), Insect Pest Control Strategies (8 papers) and Synthesis and biological activity (7 papers). Ryan da Silva Ramos is often cited by papers focused on Computational Drug Discovery Methods (22 papers), Insect Pest Control Strategies (8 papers) and Synthesis and biological activity (7 papers). Ryan da Silva Ramos collaborates with scholars based in Brazil, Spain and Kenya. Ryan da Silva Ramos's co-authors include Cleydson B. R. Santos, Joaquín M. Campos Rosa, Carlos Henrique Tomich de Paula da Silva, Williams Jorge da Cruz Macêdo, Josivan da Silva Costa, Elenilze F. B. Ferreira, Raimundo Nonato Picanço Souto, Jorddy Neves Cruz, Rosivaldo S. Borges and Davi do Socorro Barros Brasil and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and International Journal of Molecular Sciences.

In The Last Decade

Ryan da Silva Ramos

37 papers receiving 638 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ryan da Silva Ramos Brazil 16 243 198 184 182 110 43 645
Neelutpal Gogoi India 12 199 0.8× 148 0.7× 172 0.9× 88 0.5× 72 0.7× 42 566
Marília Valli Brazil 11 245 1.0× 90 0.5× 345 1.9× 132 0.7× 206 1.9× 37 721
Magdalena N. Rennó Brazil 13 88 0.4× 187 0.9× 157 0.9× 183 1.0× 141 1.3× 24 569
Williams Jorge da Cruz Macêdo Brazil 13 225 0.9× 200 1.0× 142 0.8× 74 0.4× 74 0.7× 23 493
Glauber Vilhena da Costa Brazil 8 146 0.6× 107 0.5× 130 0.7× 104 0.6× 71 0.6× 11 478
Franco Henrique Andrade Leite Brazil 16 298 1.2× 250 1.3× 259 1.4× 101 0.6× 157 1.4× 52 723
Palesa Pamela Seele South Africa 4 122 0.5× 106 0.5× 384 2.1× 177 1.0× 166 1.5× 5 877
Sushma Pradeep India 16 184 0.8× 126 0.6× 168 0.9× 100 0.5× 93 0.8× 52 683
Abayomi Emmanuel Adegboyega Nigeria 13 145 0.6× 87 0.4× 147 0.8× 108 0.6× 62 0.6× 37 503
Celestine Azubuike Afiukwa Nigeria 8 134 0.6× 132 0.7× 206 1.1× 121 0.7× 68 0.6× 19 612

Countries citing papers authored by Ryan da Silva Ramos

Since Specialization
Citations

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

Fields of papers citing papers by Ryan da Silva Ramos

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ryan da Silva Ramos. 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 Ryan da Silva Ramos. The network helps show where Ryan da Silva Ramos may publish in the future.

Co-authorship network of co-authors of Ryan da Silva Ramos

This figure shows the co-authorship network connecting the top 25 collaborators of Ryan da Silva Ramos. A scholar is included among the top collaborators of Ryan da Silva Ramos 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 Ryan da Silva Ramos. Ryan da Silva Ramos 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.
Ramos, Ryan da Silva, João Sammy Nery de Souza, Mariana Helena Chaves, et al.. (2025). Integrating Chemo- and Bioinformatics with In Vitro Biological Assays to Discover Potential ACE2 and Mpro Inhibitors against SARS-CoV-2. Journal of Chemical Information and Modeling. 65(15). 8249–8261.
3.
Cruz, Jorddy Neves, Raí C. Silva, Ettore A. de Barros, et al.. (2025). Identification of Inhibitors with Potential Anti-Prostate Cancer Activity: A Chemoinformatics Approach. Pharmaceuticals. 18(6). 888–888.
4.
Ramos, Ryan da Silva, et al.. (2024). Ergostanes from the mushroom Trametes versicolor and their cancer cell inhibition: In vitro and in silico evaluation. Steroids. 212. 109511–109511. 3 indexed citations
5.
Cruz, Jorddy Neves, Ryan da Silva Ramos, Njogu M. Kimani, et al.. (2024). Rational Approach toward COVID-19’s Main Protease Inhibitors: A Hierarchical Biochemoinformatics Analysis. International Journal of Molecular Sciences. 25(12). 6715–6715. 6 indexed citations
6.
Souto, Raimundo Nonato Picanço, et al.. (2023). Insecticide evaluation of the Cymbopogon citratus (DC.) Stapf essential oil in Aedes aegypti. OBSERVATÓRIO DE LA ECONOMÍA LATINOAMERICANA. 21(10). 16158–16180. 1 indexed citations
7.
Cruz, Jorddy Neves, et al.. (2023). Hierarchical Virtual Screening of Potential New Antibiotics from Polyoxygenated Dibenzofurans against Staphylococcus aureus Strains. Pharmaceuticals. 16(10). 1430–1430. 3 indexed citations
8.
Cruz, Jorddy Neves, et al.. (2023). Design and Identification of Inhibitors for the Spike-ACE2 Target of SARS-CoV-2. International Journal of Molecular Sciences. 24(10). 8814–8814. 10 indexed citations
9.
Ferreira, Adriana Maciel, et al.. (2023). Trichoderma asperellum Extract Isolated from Brazil Nuts (Bertholletia excelsa BONPL): In Vivo and In Silico Studies on Melanogenesis in Zebrafish. Microorganisms. 11(4). 1089–1089. 4 indexed citations
10.
Rosa, Joaquín M. Campos, et al.. (2022). Hierarchical Virtual Screening and Binding Free Energy Prediction of Potential Modulators of Aedes Aegypti Odorant-Binding Protein 1. Molecules. 27(20). 6777–6777. 5 indexed citations
11.
Ferreira, Elenilze F. B., et al.. (2022). Identification of Potential New Aedes aegypti Juvenile Hormone Inhibitors from N-Acyl Piperidine Derivatives: A Bioinformatics Approach. International Journal of Molecular Sciences. 23(17). 9927–9927. 16 indexed citations
12.
Ramos, Ryan da Silva, Jorddy Neves Cruz, Sebastião Gomes Silva, et al.. (2020). Identification of Potential COX-2 Inhibitors for the Treatment of Inflammatory Diseases Using Molecular Modeling Approaches. Molecules. 25(18). 4183–4183. 55 indexed citations
13.
Cruz, Jorddy Neves, Ryan da Silva Ramos, Franco Henrique Andrade Leite, et al.. (2020). Identification of Novel Chemical Entities for Adenosine Receptor Type 2A Using Molecular Modeling Approaches. Molecules. 25(5). 1245–1245. 49 indexed citations
14.
Ramos, Ryan da Silva, Josivan da Silva Costa, Raí C. Silva, et al.. (2019). Identification of Potential Inhibitors from Pyriproxyfen with Insecticidal Activity by Virtual Screening. Pharmaceuticals. 12(1). 20–20. 47 indexed citations
15.
Costa, Glauber Vilhena da, Elenilze F. B. Ferreira, Ryan da Silva Ramos, et al.. (2019). Hierarchical Virtual Screening of Potential Insectides Inhibitors of Acetylcholinesterase and Juvenile Hormone from Temephos. Pharmaceuticals. 12(2). 61–61. 18 indexed citations
16.
Borges, Rosivaldo S., Ryan da Silva Ramos, Raí C. Silva, et al.. (2019). Toward of Safer Phenylbutazone Derivatives by Exploration of Toxicity Mechanism. Molecules. 24(1). 143–143. 20 indexed citations
17.
Ramos, Ryan da Silva, Josivan da Silva Costa, Davi do Socorro Barros Brasil, et al.. (2018). Identification of Novel Protein Kinase Receptor Type 2 Inhibitors Using Pharmacophore and Structure-Based Virtual Screening. Molecules. 23(2). 453–453. 33 indexed citations
18.
Costa, Josivan da Silva, Ryan da Silva Ramos, Davi do Socorro Barros Brasil, et al.. (2018). An In Silico Study of the Antioxidant Ability for Two Caffeine Analogs Using Molecular Docking and Quantum Chemical Methods. Molecules. 23(11). 2801–2801. 49 indexed citations
20.
Ramos, Ryan da Silva, et al.. (2016). Phytochemical Study, Chemicalphysical Analysis and Toxicological Testing of Stem Bark of Dalbergia monetaria L. f.. British Journal of Pharmaceutical Research. 12(4). 1–7. 3 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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