Daniel Agudelo

2.1k total citations
32 papers, 1.6k citations indexed

About

Daniel Agudelo is a scholar working on Molecular Biology, Biomaterials and Surfaces, Coatings and Films. According to data from OpenAlex, Daniel Agudelo has authored 32 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Molecular Biology, 8 papers in Biomaterials and 5 papers in Surfaces, Coatings and Films. Recurrent topics in Daniel Agudelo's work include Protein Interaction Studies and Fluorescence Analysis (9 papers), Nanoparticle-Based Drug Delivery (8 papers) and CRISPR and Genetic Engineering (6 papers). Daniel Agudelo is often cited by papers focused on Protein Interaction Studies and Fluorescence Analysis (9 papers), Nanoparticle-Based Drug Delivery (8 papers) and CRISPR and Genetic Engineering (6 papers). Daniel Agudelo collaborates with scholars based in Canada, United States and France. Daniel Agudelo's co-authors include H.A. Tajmir‐Riahi, Heidar‐Ali Tajmir‐Riahi, Gervais Bérubé, L. Bekale, Philippe Bourassa, Julie Bruneau, Éric Asselin, Yannick Doyon, Jérémy Loehr and P. Chanphai and has published in prestigious journals such as Nature Communications, Molecular Cell and PLoS ONE.

In The Last Decade

Daniel Agudelo

31 papers receiving 1.6k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Daniel Agudelo Canada 21 1.1k 372 223 205 180 32 1.6k
Pierre Lemieux Canada 18 1.1k 1.0× 334 0.9× 104 0.5× 215 1.0× 157 0.9× 38 1.8k
Hiroyuki Kojima Japan 24 1.1k 1.0× 274 0.7× 556 2.5× 333 1.6× 287 1.6× 70 2.4k
Emily H. Pilkington Australia 24 994 0.9× 707 1.9× 109 0.5× 258 1.3× 394 2.2× 40 2.1k
Huiying Chen China 21 845 0.8× 267 0.7× 87 0.4× 105 0.5× 321 1.8× 54 1.5k
Cecilie Cetti Hansen Denmark 14 1.4k 1.3× 908 2.4× 157 0.7× 172 0.8× 356 2.0× 25 2.3k
Yanyan Jiang China 24 813 0.7× 591 1.6× 90 0.4× 330 1.6× 351 1.9× 60 1.6k
Peter Wich Germany 25 764 0.7× 397 1.1× 66 0.3× 282 1.4× 257 1.4× 57 1.6k
Cuifang Cai China 23 1000 0.9× 646 1.7× 90 0.4× 166 0.8× 379 2.1× 65 2.0k
Flavio Rocco Italy 22 877 0.8× 516 1.4× 198 0.9× 241 1.2× 230 1.3× 46 1.6k
Aihua Zou China 25 965 0.9× 215 0.6× 221 1.0× 253 1.2× 125 0.7× 56 1.8k

Countries citing papers authored by Daniel Agudelo

Since Specialization
Citations

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

Fields of papers citing papers by Daniel Agudelo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Daniel Agudelo

This figure shows the co-authorship network connecting the top 25 collaborators of Daniel Agudelo. A scholar is included among the top collaborators of Daniel Agudelo 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 Daniel Agudelo. Daniel Agudelo 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.
Levesque, Sébastien, et al.. (2022). Marker-free co-selection for successive rounds of prime editing in human cells. Nature Communications. 13(1). 5909–5909. 22 indexed citations
2.
Agudelo, Daniel, Sophie Carter, Sébastien Levesque, et al.. (2020). Versatile and robust genome editing with Streptococcus thermophilus CRISPR1-Cas9. Genome Research. 30(1). 107–117. 54 indexed citations
3.
Swuec, Paolo, Béatrice Amigues, Sébastien Levesque, et al.. (2019). Cas9 Allosteric Inhibition by the Anti-CRISPR Protein AcrIIA6. Molecular Cell. 76(6). 922–937.e7. 50 indexed citations
4.
Hynes, Alexander P., Geneviève M. Rousseau, Daniel Agudelo, et al.. (2018). Widespread anti-CRISPR proteins in virulent bacteriophages inhibit a range of Cas9 proteins. Nature Communications. 9(1). 125 indexed citations
5.
Agudelo, Daniel, Lusiné Bozoyan, Caroline Huard, et al.. (2017). Marker-free coselection for CRISPR-driven genome editing in human cells. Nature Methods. 14(6). 615–620. 110 indexed citations
6.
Chanphai, P., et al.. (2016). Testosterone and its dimers alter tRNA morphology. Journal of Pharmaceutical and Biomedical Analysis. 134. 269–274. 8 indexed citations
7.
Agudelo, Daniel, et al.. (2016). Targeted conjugation of breast anticancer drug tamoxifen and its metabolites with synthetic polymers. Colloids and Surfaces B Biointerfaces. 145. 55–63. 26 indexed citations
8.
Chanphai, P., et al.. (2016). Effect of testosterone and its aliphatic and aromatic dimers on DNA morphology. International Journal of Biological Macromolecules. 95. 850–855. 10 indexed citations
9.
Agudelo, Daniel, Laurent Kreplak, & H.A. Tajmir‐Riahi. (2015). Microscopic and spectroscopic analysis of chitosan–DNA conjugates. Carbohydrate Polymers. 137. 207–213. 24 indexed citations
10.
Bekale, L., et al.. (2015). Structural analysis of doxorubicin-polymer conjugates. Colloids and Surfaces B Biointerfaces. 135. 175–182. 28 indexed citations
11.
Agudelo, Daniel, Laurent Kreplak, & H.A. Tajmir‐Riahi. (2015). tRNA conjugation with chitosan nanoparticles: An AFM imaging study. International Journal of Biological Macromolecules. 85. 150–156. 8 indexed citations
12.
Bekale, L., Daniel Agudelo, & H.A. Tajmir‐Riahi. (2015). The role of polymer size and hydrophobic end-group in PEG–protein interaction. Colloids and Surfaces B Biointerfaces. 130. 141–148. 90 indexed citations
13.
Cadena, Horacio, et al.. (2014). Descripción de un foco endémico de Leishmaniasis cutánea en Puerto Valdivia, Antioquia, Colombia. 5(1). 3–10. 6 indexed citations
14.
Bekale, L., Daniel Agudelo, & H.A. Tajmir‐Riahi. (2014). Effect of polymer molecular weight on chitosan–protein interaction. Colloids and Surfaces B Biointerfaces. 125. 309–317. 179 indexed citations
15.
Agudelo, Daniel, Philippe Bourassa, Gervais Bérubé, & Heidar‐Ali Tajmir‐Riahi. (2014). Intercalation of antitumor drug doxorubicin and its analogue by DNA duplex: Structural features and biological implications. International Journal of Biological Macromolecules. 66. 144–150. 180 indexed citations
16.
Tajmir‐Riahi, H.A., et al.. (2014). Applications of Chitosan Nanoparticles in Drug Delivery. Methods in molecular biology. 1141. 165–184. 21 indexed citations
17.
Agudelo, Daniel, Philippe Bourassa, Marc Beauregard, Gervais Bérubé, & Heidar‐Ali Tajmir‐Riahi. (2013). tRNA Binding to Antitumor Drug Doxorubicin and Its Analogue. PLoS ONE. 8(7). e69248–e69248. 36 indexed citations
18.
Agudelo, Daniel, et al.. (2013). Transporting Antitumor Drug Tamoxifen and Its Metabolites, 4-Hydroxytamoxifen and Endoxifen by Chitosan Nanoparticles. PLoS ONE. 8(3). e60250–e60250. 26 indexed citations
19.
Agudelo, Daniel, Philippe Bourassa, Julie Bruneau, et al.. (2012). Probing the Binding Sites of Antibiotic Drugs Doxorubicin and N-(trifluoroacetyl) Doxorubicin with Human and Bovine Serum Albumins. PLoS ONE. 7(8). e43814–e43814. 191 indexed citations
20.
Agudelo, Daniel, Marc Beauregard, Gervais Bérubé, & Heidar‐Ali Tajmir‐Riahi. (2012). Antibiotic doxorubicin and its derivative bind milk β-lactoglobulin. Journal of Photochemistry and Photobiology B Biology. 117. 185–192. 20 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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