Laurent Hoffer
Impact in
-
- Computational Drug Discovery Methods
-
- Protein Degradation and Inhibitors
- Chemical Synthesis and Analysis
- Protein Structure and Dynamics
- Ubiquitin and proteasome pathways
- Extracellular vesicles in disease
Papers in
-
- Computational Drug Discovery Methods 12
-
- Protein Degradation and Inhibitors 6
- Chemical Synthesis and Analysis 5
- Ubiquitin and proteasome pathways 5
- Protein Structure and Dynamics 3
- Co-authors
- Dragos Horvath (6 shared papers)Xavier Morelli (12 shared papers)Philippe Roche (12 shared papers)Jean‐Paul Renaud (2 shared papers)Christophe Müller (4 shared papers)Carine Derviaux (6 shared papers)Alexandre A. Varnek (3 shared papers)S. Betzi (7 shared papers)
- Journals
- Journal of Chemical Information and Modeling (7 papers)Journal of Medicinal Chemistry (5 papers)Nature Communications (2 papers)ACS Chemical Biology (2 papers)European Journal of Medicinal Chemistry (2 papers)
- Partner nations
- FranceCanadaUnited States
In The Last Decade
Laurent Hoffer
26 papers receiving 519 citations
Peers
Comparison fields: 5 of 80
- Computational Theory and Mathematics 210
- Molecular Biology 338
- Organic Chemistry 85
- Pharmacology 46
- Pharmacology 19
Countries citing papers authored by Laurent Hoffer
This map shows the geographic impact of Laurent Hoffer'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 Laurent Hoffer with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Laurent Hoffer more than expected).
Fields of papers citing papers by Laurent Hoffer
This network shows the impact of papers produced by Laurent Hoffer. 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 Laurent Hoffer. The network helps show where Laurent Hoffer may publish in the future.
Co-authors
The 25 scholars most cited alongside Laurent Hoffer, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 28 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 58 | |
| 2 | 2023 | 43 | |
| 3 | 2018 | 42 | |
| 4 | 2020 | 41 | |
| 5 | 2020 | 37 | |
| 6 | 2011 | 36 | |
| 7 | 2013 | 32 | |
| 8 | 2020 | 30 | |
| 9 | 2024 | 27 | |
| 10 | 2015 | 26 | |
| 11 | 2020 | 25 | |
| 12 | 2012 | 25 | |
| 13 | 2018 | 21 | |
| 14 | 2024 | 20 | |
| 15 | 2021 | 11 | |
| 16 | 2023 | 11 | |
| 17 | 2019 | 11 | |
| 18 | 2025 | 8 | |
| 19 | 2022 | 8 | |
| 20 | 2022 | 6 |
About Laurent Hoffer
Laurent Hoffer is a scholar working on Computational Theory and Mathematics, Molecular Biology, Pharmacology, Cell Biology and Oncology, having authored 28 papers that have together received 536 indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (12 papers), Protein Degradation and Inhibitors (6 papers), Chemical Synthesis and Analysis (5 papers), Ubiquitin and proteasome pathways (5 papers), Hippo pathway signaling and YAP/TAZ (4 papers), Protein Structure and Dynamics (3 papers), Microbial Natural Products and Biosynthesis (3 papers) and Peptidase Inhibition and Analysis (3 papers). The work is most often cited by research in Computational Theory and Mathematics (210 citations), Molecular Biology (338 citations), Organic Chemistry (85 citations), Pharmacology (46 citations) and Pharmacology (19 citations). Laurent Hoffer has collaborated with scholars based in France, Canada and United States. Frequent co-authors include Dragos Horvath, Xavier Morelli, Philippe Roche, Jean‐Paul Renaud, Christophe Müller, Carine Derviaux, Alexandre A. Varnek, S. Betzi, Karine Barral and Mikaël Feracci. Their work appears in journals such as Journal of Chemical Information and Modeling, Journal of Medicinal Chemistry, Nature Communications, ACS Chemical Biology and European Journal of Medicinal Chemistry.
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.