Eric Allison Philot

440 total citations
15 papers, 323 citations indexed

About

Eric Allison Philot is a scholar working on Molecular Biology, Computational Theory and Mathematics and Oncology. According to data from OpenAlex, Eric Allison Philot has authored 15 papers receiving a total of 323 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Molecular Biology, 5 papers in Computational Theory and Mathematics and 4 papers in Oncology. Recurrent topics in Eric Allison Philot's work include Protein Structure and Dynamics (6 papers), Computational Drug Discovery Methods (5 papers) and Protein Interaction Studies and Fluorescence Analysis (2 papers). Eric Allison Philot is often cited by papers focused on Protein Structure and Dynamics (6 papers), Computational Drug Discovery Methods (5 papers) and Protein Interaction Studies and Fluorescence Analysis (2 papers). Eric Allison Philot collaborates with scholars based in Brazil, France and United States. Eric Allison Philot's co-authors include Ana Lígia Scott, Angélica Nakagawa Lima, Káthia M. Honório, Gustavo Henrique Goulart Trossini, Vinícius Gonçalves Maltarollo, David Pérahia, Maria A. Miteva, Valdecir Farias Ximenes, Antônio Sérgio Kimus Braz and Bianca Helena Ventura Fernandes and has published in prestigious journals such as ACS Nano, PLoS ONE and Molecules.

In The Last Decade

Eric Allison Philot

14 papers receiving 316 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Eric Allison Philot Brazil 7 175 131 43 30 30 15 323
Raudah Lazim Singapore 9 275 1.6× 85 0.6× 53 1.2× 20 0.7× 34 1.1× 18 392
Stefania Pfeiffer‐Marek Germany 11 254 1.5× 78 0.6× 48 1.1× 22 0.7× 12 0.4× 14 329
Atefeh Saadabadi Finland 7 205 1.2× 155 1.2× 49 1.1× 36 1.2× 25 0.8× 13 470
Angélica Nakagawa Lima Brazil 8 161 0.9× 128 1.0× 45 1.0× 50 1.7× 10 0.3× 12 327
Ehsan Kachooei Iran 9 179 1.0× 58 0.4× 68 1.6× 16 0.5× 29 1.0× 13 344
Ana Lígia Scott Brazil 12 321 1.8× 149 1.1× 80 1.9× 48 1.6× 34 1.1× 35 588
Diego E. B. Gomes Brazil 11 196 1.1× 83 0.6× 66 1.5× 10 0.3× 15 0.5× 23 314
Jack A. Henderson United States 12 255 1.5× 116 0.9× 51 1.2× 13 0.4× 18 0.6× 16 367
Fabian Dey Switzerland 7 236 1.3× 168 1.3× 54 1.3× 13 0.4× 12 0.4× 10 341
Rick Oerlemans Netherlands 9 226 1.3× 83 0.6× 45 1.0× 19 0.6× 19 0.6× 12 348

Countries citing papers authored by Eric Allison Philot

Since Specialization
Citations

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

Fields of papers citing papers by Eric Allison Philot

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Eric Allison Philot. 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 Eric Allison Philot. The network helps show where Eric Allison Philot may publish in the future.

Co-authorship network of co-authors of Eric Allison Philot

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

All Works

15 of 15 papers shown
1.
Braga, Carolyne B., Alexandra Maria Ramos Bezerra, Eric Allison Philot, et al.. (2025). Design, synthesis and evaluation of fluorescent dihydropyridine–dihydropyrimidinone hybrids as inducers of cell-cycle arrest in a prostate cancer cell line via Aurora kinase interactions. RSC Medicinal Chemistry. 16(12). 5989–6009.
2.
Philot, Eric Allison, et al.. (2023). Unveiling mutation effects on the structural dynamics of the main protease from SARS-CoV-2 with hybrid simulation methods. Journal of Molecular Graphics and Modelling. 121. 108443–108443. 4 indexed citations
3.
Batista, Helena Beatriz de Carvalho Ruthner, Emma Poole, Michael Nevels, et al.. (2022). Molecular modelling of the HCMV IL-10 protein isoforms and analysis of their interaction with the human IL-10 receptor. PLoS ONE. 17(11). e0277953–e0277953. 3 indexed citations
4.
Philot, Eric Allison, et al.. (2022). Effect of phosphorylation on the structural dynamics, thermal stability of human dopamine transporter: A simulation study using normal modes, molecular dynamics and Markov State Model. Journal of Molecular Graphics and Modelling. 118. 108359–108359. 3 indexed citations
5.
Castro, Ana Cristina Honorato de, Aline M. Pascon, Gabriela H. Da Silva, et al.. (2022). Modular Label-Free Electrochemical Biosensor Loading Nature-Inspired Peptide toward the Widespread Use of COVID-19 Antibody Tests. ACS Nano. 16(9). 14239–14253. 41 indexed citations
6.
Philot, Eric Allison, Heberth de Paula, Angélica Nakagawa Lima, et al.. (2021). Virtual screening and in vitro assays of novel hits as promising DPP-4 inhibitors. Biochimie. 194. 43–50. 5 indexed citations
7.
Philot, Eric Allison, et al.. (2019). Predicting regions prone to protein aggregation based on SVM algorithm. Applied Mathematics and Computation. 359. 502–511. 11 indexed citations
8.
Lima, Angélica Nakagawa, Eric Allison Philot, Ana Lígia Scott, et al.. (2019). Methyl divanillate: redox properties and binding affinity with albumin of an antioxidant and potential NADPH oxidase inhibitor. RSC Advances. 9(35). 19983–19992. 9 indexed citations
9.
Philot, Eric Allison, et al.. (2019). Integrated Protocol to Design Potential Inhibitors of Dipeptidyl Peptidase- 4 (DPP-4). Current Topics in Medicinal Chemistry. 20(3). 209–226. 1 indexed citations
10.
Philot, Eric Allison, et al.. (2018). Interaction between 1-pyrenesulfonic acid and albumin: Moving inside the protein. Spectrochimica Acta Part A Molecular and Biomolecular Spectroscopy. 208. 243–254. 16 indexed citations
11.
Philot, Eric Allison, Angélica Nakagawa Lima, David Pérahia, et al.. (2018). Structural Dynamics of DPP-4 and Its Influence on the Projection of Bioactive Ligands. Molecules. 23(2). 490–490. 32 indexed citations
12.
Lima, Angélica Nakagawa, Eric Allison Philot, Gustavo Henrique Goulart Trossini, et al.. (2016). Use of machine learning approaches for novel drug discovery. Expert Opinion on Drug Discovery. 11(3). 225–239. 180 indexed citations
13.
Philot, Eric Allison, Aryane Tofanello, Antônio Sérgio Kimus Braz, et al.. (2016). Binding of phenothiazines into allosteric hydrophobic pocket of human thioredoxin 1. European Biophysics Journal. 45(3). 279–286. 3 indexed citations
14.
Philot, Eric Allison, David Pérahia, Antônio Sérgio Kimus Braz, Maurício G. S. Costa, & Ana Lígia Scott. (2013). Binding sites and hydrophobic pockets in Human Thioredoxin 1 determined by normal mode analysis. Journal of Structural Biology. 184(2). 293–300. 10 indexed citations
15.
Lima, Angélica Nakagawa, Eric Allison Philot, David Pérahia, Antônio Sérgio Kimus Braz, & Ana Lígia Scott. (2012). GANM: A protein–ligand docking approach based on genetic algorithm and normal modes. Applied Mathematics and Computation. 219(2). 511–520. 5 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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