Danilo F. Coêlho

591 total citations
9 papers, 77 citations indexed

About

Danilo F. Coêlho is a scholar working on Infectious Diseases, Epidemiology and Public Health, Environmental and Occupational Health. According to data from OpenAlex, Danilo F. Coêlho has authored 9 papers receiving a total of 77 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Infectious Diseases, 3 papers in Epidemiology and 3 papers in Public Health, Environmental and Occupational Health. Recurrent topics in Danilo F. Coêlho's work include Mosquito-borne diseases and control (3 papers), Monoclonal and Polyclonal Antibodies Research (3 papers) and HIV Research and Treatment (2 papers). Danilo F. Coêlho is often cited by papers focused on Mosquito-borne diseases and control (3 papers), Monoclonal and Polyclonal Antibodies Research (3 papers) and HIV Research and Treatment (2 papers). Danilo F. Coêlho collaborates with scholars based in Brazil, United States and United Kingdom. Danilo F. Coêlho's co-authors include Roberto D. Lins, Ernesto T. A. Marques, Gabriel Luz Wallau, Felix F. Loeffler, Rafael Freitas de Oliveira França, Tereza Magalhæs, Laércio Pol Fachin, Marli Tenório Cordeiro, Thomas Jaenisch and Marjorie C. L. C. Freire and has published in prestigious journals such as Chemical Communications, Biopolymers and Journal of Neuroimmunology.

In The Last Decade

Danilo F. Coêlho

8 papers receiving 76 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Danilo F. Coêlho Brazil 5 39 31 31 13 9 9 77
Ronaldo de Jesus Brazil 5 61 1.6× 9 0.3× 72 2.3× 16 1.2× 2 0.2× 10 100
Theerarat Kochakarn Thailand 7 31 0.8× 21 0.7× 89 2.9× 16 1.2× 2 0.2× 9 111
Wanwisa Dejnirattisai United Kingdom 3 52 1.3× 26 0.8× 42 1.4× 12 0.9× 2 0.2× 3 110
Petros Papastogiannidis Switzerland 3 21 0.5× 38 1.2× 81 2.6× 15 1.2× 3 0.3× 3 114
Natasha KC United States 4 26 0.7× 24 0.8× 59 1.9× 15 1.2× 16 1.8× 7 119
Adam Abdullahi United Kingdom 4 94 2.4× 15 0.5× 5 0.2× 23 1.8× 7 0.8× 12 115
Daniel Mair United Kingdom 5 114 2.9× 35 1.1× 20 0.6× 18 1.4× 2 0.2× 8 146
Kennedy Mwai Kenya 6 18 0.5× 15 0.5× 43 1.4× 4 0.3× 2 0.2× 13 65
Aaron F. Garretson United States 6 87 2.2× 35 1.1× 15 0.5× 32 2.5× 2 0.2× 12 140
Gabriele Boehmer Germany 3 16 0.4× 42 1.4× 32 1.0× 30 2.3× 7 0.8× 5 104

Countries citing papers authored by Danilo F. Coêlho

Since Specialization
Citations

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

Fields of papers citing papers by Danilo F. Coêlho

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Danilo F. Coêlho. 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 Danilo F. Coêlho. The network helps show where Danilo F. Coêlho may publish in the future.

Co-authorship network of co-authors of Danilo F. Coêlho

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

All Works

9 of 9 papers shown
1.
Coêlho, Danilo F., et al.. (2025). De N ovo -Designed Miniprotein Inhibits the Enzymatic Activity of the SARS-CoV-2 Main Protease. Journal of Chemical Information and Modeling. 65(20). 11314–11325.
2.
Coêlho, Danilo F., et al.. (2024). Structure‐based computational design of antibody mimetics: challenges and perspectives. FEBS Open Bio. 15(2). 223–235. 10 indexed citations
3.
Coêlho, Danilo F., et al.. (2022). Association strength of E6 to E6AP/p53 complex correlates with HPV‐mediated oncogenesis risk. Biopolymers. 113(10). e23524–e23524. 3 indexed citations
4.
Dhália, Rafael, Danilo F. Coêlho, Franciane Mouradian Emidio Teixeira, et al.. (2021). Are Zika virus cross-reactive antibodies against aquaporin-4 associated to Neuromyelitis Optica Spectrum Disorder?. Journal of Neuroimmunology. 360. 577697–577697. 1 indexed citations
5.
Loeffler, Felix F., Danilo F. Coêlho, Carolina S. Silva, et al.. (2021). Identification of a Zika NS2B epitope as a biomarker for severe clinical phenotypes. RSC Medicinal Chemistry. 12(9). 1525–1539. 5 indexed citations
6.
Coêlho, Danilo F., et al.. (2021). Immune evasion of SARS-CoV-2 variants of concern is driven by low affinity to neutralizing antibodies. Chemical Communications. 57(49). 6094–6097. 16 indexed citations
7.
Coêlho, Danilo F., et al.. (2019). The influence of biotinylation on the ability of a computer designed protein to detect B-cells producing anti-HIV-1 2F5 antibodies. Journal of Molecular Graphics and Modelling. 93. 107442–107442. 4 indexed citations
8.
Coêlho, Danilo F., Eduardo J. M. Nascimento, Marco Aurélio Krieger, et al.. (2018). Detection of IgG3 antibodies specific to the human immunodeficiency virus type 1 (HIV-1) p24 protein as marker for recently acquired infection. Epidemiology and Infection. 146(10). 1293–1300. 5 indexed citations
9.
Freire, Marjorie C. L. C., Laércio Pol Fachin, Danilo F. Coêlho, et al.. (2017). Mapping Putative B-Cell Zika Virus NS1 Epitopes Provides Molecular Basis for Anti-NS1 Antibody Discrimination between Zika and Dengue Viruses. ACS Omega. 2(7). 3913–3920. 33 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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