Camille Bilodeau
Impact in
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- Computational Drug Discovery Methods
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- Machine Learning in Materials Science
Papers in
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- Protein purification and stability 6
- Protein Structure and Dynamics 6
- Chemical Synthesis and Analysis 3
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- Machine Learning in Materials Science 5
- Co-authors
- Klavs F. Jensen (5 shared papers)Wengong Jin (3 shared papers)Tommi Jaakkola (3 shared papers)Regina Barzilay (3 shared papers)Edmond Y. Lau (7 shared papers)Steven M. Cramer (5 shared papers)Sukrit Mukhopadhyay (3 shared papers)Tuan Anh Pham (2 shared papers)
- Journals
- Langmuir (4 papers)Journal of Chemical Theory and Computation (2 papers)The Journal of Physical Chemistry B (2 papers)Advanced Science (1 paper)Biotechnology and Bioengineering (1 paper)
- Partner nations
- United StatesEgypt
In The Last Decade
Camille Bilodeau
19 papers receiving 448 citations
Camille Bilodeau's Hit Papers
Peers
Comparison fields: 5 of 84
- Computational Theory and Mathematics 172
- Materials Chemistry 206
- Spectroscopy 48
- Molecular Biology 195
- Catalysis 17
Countries citing papers authored by Camille Bilodeau
This map shows the geographic impact of Camille Bilodeau'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 Camille Bilodeau with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Camille Bilodeau more than expected).
Fields of papers citing papers by Camille Bilodeau
This network shows the impact of papers produced by Camille Bilodeau. 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 Camille Bilodeau. The network helps show where Camille Bilodeau may publish in the future.
Co-authors
The 25 scholars most cited alongside Camille Bilodeau, 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 | Generative models for molecular discovery: Recent advances and challenges Hit paper breakdown → | 2022 | 162 |
| 2 | 2023 | 89 | |
| 3 | 2020 | 39 | |
| 4 | 2023 | 34 | |
| 5 | 2021 | 28 | |
| 6 | 2020 | 21 | |
| 7 | 2020 | 15 | |
| 8 | 2020 | 13 | |
| 9 | 2020 | 10 | |
| 10 | 2019 | 10 | |
| 11 | 2021 | 9 | |
| 12 | 2021 | 8 | |
| 13 | 2019 | 7 | |
| 14 | 2021 | 5 | |
| 15 | 2024 | 4 | |
| 16 | 2020 | 3 | |
| 17 | 2024 | 2 | |
| 18 | 2022 | 2 | |
| 19 | 2019 | 1 |
About Camille Bilodeau
Camille Bilodeau is a scholar working on Molecular Biology, Materials Chemistry, Computational Theory and Mathematics, Spectroscopy and Radiology, Nuclear Medicine and Imaging, having authored 19 papers that have together received 462 indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (6 papers), Protein purification and stability (6 papers), Analytical Chemistry and Chromatography (6 papers), Protein Structure and Dynamics (6 papers), Machine Learning in Materials Science (5 papers), Monoclonal and Polyclonal Antibodies Research (3 papers), Chemical Synthesis and Analysis (3 papers) and Spectroscopy and Quantum Chemical Studies (2 papers). The work is most often cited by research in Computational Theory and Mathematics (172 citations), Materials Chemistry (206 citations), Spectroscopy (48 citations), Molecular Biology (195 citations) and Catalysis (17 citations). Camille Bilodeau has collaborated with scholars based in United States and Egypt. Frequent co-authors include Klavs F. Jensen, Wengong Jin, Tommi Jaakkola, Regina Barzilay, Edmond Y. Lau, Steven M. Cramer, Sukrit Mukhopadhyay, Tuan Anh Pham, Helgi I. Ingólfsson and William F. Bennett. Their work appears in journals such as Langmuir, Journal of Chemical Theory and Computation, The Journal of Physical Chemistry B, Advanced Science and Biotechnology and Bioengineering.
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.