Alessandro Senes
- Molecular Biology top 5%
- Cellular and Molecular Neuroscience top 5%
- Genetics top 10%
- Materials Chemistry
- Cell Biology top 5%
- Co-authors
- Donald M. EngelmanWilliam F. DeGradoMark GersteinIban Ubarretxena‐BelandiaDon EngelBenjamin K. MuellerRobin M. HochstrasserVikas Nanda
- Topics
- Lipid Membrane Structure and Behavior (12 papers)Protein Structure and Dynamics (11 papers)RNA and protein synthesis mechanisms (11 papers)
- Journals
- Proceedings of the National Academy of SciencesJournal of the American Chemical SocietyJournal of Biological Chemistry
- Partner nations
- United StatesItalyAustria
In The Last Decade
Alessandro Senes
35 papers receiving 2.7k citations
Hit Papers
Peers
Comparison fields: 5 of 104
- Molecular Biology 2.2k
- Cellular and Molecular Neuroscience 286
- Genetics 232
- Materials Chemistry 230
- Cell Biology 221
Countries citing papers authored by Alessandro Senes
This map shows the geographic impact of Alessandro Senes'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 Alessandro Senes with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Alessandro Senes more than expected).
Fields of papers citing papers by Alessandro Senes
This network shows the impact of papers produced by Alessandro Senes. 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 Alessandro Senes. The network helps show where Alessandro Senes may publish in the future.
Co-authorship network of co-authors of Alessandro Senes
This figure shows the co-authorship network connecting the top 25 collaborators of Alessandro Senes. A scholar is included among the top collaborators of Alessandro Senes based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Alessandro Senes. Alessandro Senes is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 0 | |
| 3 | 1 | |
| 4 | 7 | |
| 5 | 36 | |
| 6 | 23 | |
| 7 | 44 | |
| 8 | 10 | |
| 9 | 27 | |
| 10 | 75 | |
| 11 | 93 | |
| 12 | 6 | |
| 13 | 26 | |
| 14 | 67 | |
| 15 | 82 | |
| 16 | 134 | |
| 17 | 46 | |
| 18 | 250 | |
| 19 | Statistical analysis of amino acid patterns in transmembrane helices: the GxxxG motif occurs frequently and in association with β-branched residues at neighboring positionsbreakdown → | 505 |
| 20 | 2 |
About Alessandro Senes
Alessandro Senes is a scholar working on Molecular Biology, Clinical Biochemistry and Cellular and Molecular Neuroscience, having authored 37 papers that have together received 2.7k indexed citations. Recurring topics across this work include Lipid Membrane Structure and Behavior (12 papers), Protein Structure and Dynamics (11 papers) and RNA and protein synthesis mechanisms (11 papers). The work is most often cited by research in Molecular Biology (2.2k citations), Microbiology (99 citations) and Cellular and Molecular Neuroscience (286 citations). Alessandro Senes has collaborated with scholars based in United States, Italy and Austria. Frequent co-authors include Donald M. Engelman, William F. DeGrado, Mark Gerstein, Iban Ubarretxena‐Belandia, Don Engel, Benjamin K. Mueller, Robin M. Hochstrasser, Vikas Nanda, Ursula Lehnert and Peter B. Law. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of the American Chemical Society and Journal of Biological 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.