Eric Allison Philot
Impact in
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- Computational Drug Discovery Methods
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- Protein Structure and Dynamics
- Advanced biosensing and bioanalysis techniques
- vaccines and immunoinformatics approaches
- Metabolomics and Mass Spectrometry Studies
- Protein Interaction Studies and Fluorescence Analysis
Papers in
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- Protein Structure and Dynamics 6
- Redox biology and oxidative stress 2
- Protein Interaction Studies and Fluorescence Analysis 2
- Advanced biosensing and bioanalysis techniques 1
- Machine Learning in Bioinformatics 1
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- Computational Drug Discovery Methods 5
- Co-authors
- Ana Lígia Scott (14 shared papers)Angélica Nakagawa Lima (8 shared papers)Káthia M. Honório (4 shared papers)Vinícius Gonçalves Maltarollo (1 shared paper)Gustavo Henrique Goulart Trossini (1 shared paper)David Pérahia (6 shared papers)Maria A. Miteva (2 shared papers)Valdecir Farias Ximenes (2 shared papers)
- Journals
- Journal of Molecular Graphics and Modelling (2 papers)Applied Mathematics and Computation (2 papers)Journal of Structural Biology (1 paper)RSC Medicinal Chemistry (1 paper)Biochimie (1 paper)
- Partner nations
- BrazilFranceUnited States
In The Last Decade
Eric Allison Philot
14 papers receiving 316 citations
Peers
Comparison fields: 5 of 96
- Computational Theory and Mathematics 131
- Molecular Biology 175
- Biophysics 12
- Electrochemistry 11
- Microbiology 11
Countries citing papers authored by Eric Allison Philot
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
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-authors
The 25 scholars most cited alongside Eric Allison Philot, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2016 | 180 | |
| 2 | 2022 | 41 | |
| 3 | 2018 | 32 | |
| 4 | 2018 | 16 | |
| 5 | 2019 | 11 | |
| 6 | 2013 | 10 | |
| 7 | 2019 | 9 | |
| 8 | 2021 | 5 | |
| 9 | 2012 | 5 | |
| 10 | 2023 | 4 | |
| 11 | 2022 | 3 | |
| 12 | 2022 | 3 | |
| 13 | 2016 | 3 | |
| 14 | 2019 | 1 | |
| 15 | 2025 | 0 |
About Eric Allison Philot
Eric Allison Philot is a scholar working on Molecular Biology, Computational Theory and Mathematics, Oncology, Organic Chemistry and Infectious Diseases, having authored 15 papers that have together received 323 indexed citations. Recurring topics across this work include Protein Structure and Dynamics (6 papers), Computational Drug Discovery Methods (5 papers), Redox biology and oxidative stress (2 papers), Enzyme Structure and Function (2 papers), Protein Interaction Studies and Fluorescence Analysis (2 papers), Peptidase Inhibition and Analysis (2 papers), Advanced biosensing and bioanalysis techniques (1 paper) and Machine Learning in Bioinformatics (1 paper). The work is most often cited by research in Computational Theory and Mathematics (131 citations), Molecular Biology (175 citations), Biophysics (12 citations), Electrochemistry (11 citations) and Microbiology (11 citations). Eric Allison Philot has collaborated with scholars based in Brazil, France and United States. Frequent co-authors include Ana Lígia Scott, Angélica Nakagawa Lima, Káthia M. Honório, Vinícius Gonçalves Maltarollo, Gustavo Henrique Goulart Trossini, David Pérahia, Maria A. Miteva, Valdecir Farias Ximenes, Antônio Sérgio Kimus Braz and Gabriel R. Schleder. Their work appears in journals such as Journal of Molecular Graphics and Modelling, Applied Mathematics and Computation, Journal of Structural Biology, RSC Medicinal Chemistry and Biochimie.
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.