Alex Tek
Impact in
- Urban Studies top 2%
- Advanced Computing and Algorithms
- Human-Computer Interaction top 10%
Papers in
-
- Protein Structure and Dynamics 6
- Lipid Membrane Structure and Behavior 2
- RNA modifications and cancer 2
- RNA and protein synthesis mechanisms 2
- Glycosylation and Glycoproteins Research 1
- Muscle Physiology and Disorders 1
- DNA and Nucleic Acid Chemistry 1
- Co-authors
- Marc Baaden (8 shared papers)Matthieu Chavent (3 shared papers)Charly Empereur‐mot (1 shared paper)Zhihan Lv (1 shared paper)Daniel L. Parton (1 shared paper)Mark S.P. Sansom (2 shared papers)Sergio Pantano (2 shared papers)Leonardo Darré (2 shared papers)
- Journals
- Faraday Discussions (1 paper)Journal of Computational Chemistry (1 paper)Chemical Society Reviews (1 paper)PLoS Computational Biology (1 paper)Journal of Chemical Theory and Computation (1 paper)
- Partner nations
- FranceUnited KingdomUnited States
In The Last Decade
Alex Tek
11 papers receiving 551 citations
Peers
Comparison fields: 5 of 110
- Urban Studies 88
- Human-Computer Interaction 37
- Biophysics 33
- Molecular Biology 304
- Computer Vision and Pattern Recognition 86
Countries citing papers authored by Alex Tek
This map shows the geographic impact of Alex Tek'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 Alex Tek with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Alex Tek more than expected).
Fields of papers citing papers by Alex Tek
This network shows the impact of papers produced by Alex Tek. 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 Alex Tek. The network helps show where Alex Tek may publish in the future.
Co-authors
The 25 scholars most cited alongside Alex Tek, 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 | 2013 | 199 | |
| 2 | 2014 | 135 | |
| 3 | 2011 | 49 | |
| 4 | 2013 | 48 | |
| 5 | 2012 | 43 | |
| 6 | 2009 | 39 | |
| 7 | 2012 | 23 | |
| 8 | 2014 | 18 | |
| 9 | 2019 | 9 | |
| 10 | 2015 | 7 | |
| 11 | 2013 | 1 |
About Alex Tek
Alex Tek is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience, Cardiology and Cardiovascular Medicine, Computer Vision and Pattern Recognition and Ecology, having authored 11 papers that have together received 571 indexed citations. Recurring topics across this work include Protein Structure and Dynamics (6 papers), Lipid Membrane Structure and Behavior (2 papers), RNA modifications and cancer (2 papers), RNA and protein synthesis mechanisms (2 papers), Glycosylation and Glycoproteins Research (1 paper), Enzyme Structure and Function (1 paper), Muscle Physiology and Disorders (1 paper) and DNA and Nucleic Acid Chemistry (1 paper). The work is most often cited by research in Urban Studies (88 citations), Human-Computer Interaction (37 citations), Biophysics (33 citations), Molecular Biology (304 citations) and Computer Vision and Pattern Recognition (86 citations). Alex Tek has collaborated with scholars based in France, United Kingdom and United States. Frequent co-authors include Marc Baaden, Matthieu Chavent, Charly Empereur‐mot, Zhihan Lv, Daniel L. Parton, Mark S.P. Sansom, Sergio Pantano, Leonardo Darré, Simone Melchionna and Tristan Cragnolini. Their work appears in journals such as Faraday Discussions, Journal of Computational Chemistry, Chemical Society Reviews, PLoS Computational Biology and Journal of Chemical Theory and Computation.
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.