Sam Lismont
Impact in
- Physiology top 2%
- Alzheimer's disease research and treatments
- Biological Psychiatry top 10%
Papers in
- Physiology 12
- Alzheimer's disease research and treatments 12
-
- Protein Structure and Dynamics 4
- Co-authors
- Lucía Chávez‐Gutiérrez (12 shared papers)Bart De Strooper (7 shared papers)Manasi Benurwar (4 shared papers)Joost Schymkowitz (3 shared papers)Lutgarde Serneels (3 shared papers)Frédéric Rousseau (3 shared papers)Harrie J. M. Gijsen (2 shared papers)Sarah Veugelen (4 shared papers)
- Journals
- The EMBO Journal (4 papers)Cell (2 papers)Nature Communications (1 paper)eLife (1 paper)Journal of Cell Science (1 paper)
- Partner nations
- BelgiumGermanyUnited Kingdom
In The Last Decade
Sam Lismont
12 papers receiving 912 citations
Peers
Comparison fields: 5 of 65
- Physiology 726
- Biological Psychiatry 30
- Pharmacology 198
- Computational Theory and Mathematics 184
- Neurology 76
Countries citing papers authored by Sam Lismont
This map shows the geographic impact of Sam Lismont'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 Sam Lismont with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sam Lismont more than expected).
Fields of papers citing papers by Sam Lismont
This network shows the impact of papers produced by Sam Lismont. 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 Sam Lismont. The network helps show where Sam Lismont may publish in the future.
Co-authors
The 25 scholars most cited alongside Sam Lismont, 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 | 2012 | 398 | |
| 2 | 2017 | 189 | |
| 3 | 2015 | 122 | |
| 4 | 2013 | 65 | |
| 5 | 2014 | 51 | |
| 6 | 2019 | 41 | |
| 7 | Signature Amyloid beta Profiles Are Produced by Different gamma-Secretase Complexes | 2014 | 19 |
| 8 | 2021 | 11 | |
| 9 | 2022 | 10 | |
| 10 | 2023 | 8 | |
| 11 | 2023 | 5 | |
| 12 | 2024 | 5 |
About Sam Lismont
Sam Lismont is a scholar working on Physiology, Molecular Biology, Cellular and Molecular Neuroscience, Biomaterials and Pharmacology, having authored 12 papers that have together received 924 indexed citations. Recurring topics across this work include Alzheimer's disease research and treatments (12 papers), Protein Structure and Dynamics (4 papers), Supramolecular Self-Assembly in Materials (4 papers), Computational Drug Discovery Methods (2 papers), Nuclear Receptors and Signaling (2 papers), Cholinesterase and Neurodegenerative Diseases (2 papers), Neuroscience and Neuropharmacology Research (2 papers) and Enzyme Structure and Function (1 paper). The work is most often cited by research in Physiology (726 citations), Biological Psychiatry (30 citations), Pharmacology (198 citations), Computational Theory and Mathematics (184 citations) and Neurology (76 citations). Sam Lismont has collaborated with scholars based in Belgium, Germany and United Kingdom. Frequent co-authors include Lucía Chávez‐Gutiérrez, Bart De Strooper, Manasi Benurwar, Joost Schymkowitz, Lutgarde Serneels, Frédéric Rousseau, Harrie J. M. Gijsen, Sarah Veugelen, Natalie S. Ryan and Leen Bammens. Their work appears in journals such as The EMBO Journal, Cell, Nature Communications, eLife and Journal of Cell Science.
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.