Marc S. Cortese
- Molecular Biology top 1%
- Materials Chemistry top 5%
- Cell Biology top 2%
- Genetics top 5%
- Spectroscopy top 2%
- Co-authors
- Vladimir N. UverskyA. Keith DunkerChristopher J. OldfieldPedro RomeroVladimir VacicLilia M. IakouchevaPredrag RadivojacYugong Cheng
- Topics
- Protein Structure and Dynamics (12 papers)Enzyme Structure and Function (9 papers)Fungal and yeast genetics research (7 papers)
- Journals
- Proceedings of the National Academy of SciencesNucleic Acids ResearchJournal of Biological Chemistry
- Partner nations
- United StatesRussiaSpain
In The Last Decade
Marc S. Cortese
30 papers receiving 5.3k citations
Hit Papers
Peers
Comparison fields: 5 of 134
- Molecular Biology 4.4k
- Materials Chemistry 1.3k
- Cell Biology 614
- Genetics 445
- Spectroscopy 383
Countries citing papers authored by Marc S. Cortese
This map shows the geographic impact of Marc S. Cortese'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 Marc S. Cortese with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Marc S. Cortese more than expected).
Fields of papers citing papers by Marc S. Cortese
This network shows the impact of papers produced by Marc S. Cortese. 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 Marc S. Cortese. The network helps show where Marc S. Cortese may publish in the future.
Co-authorship network of co-authors of Marc S. Cortese
This figure shows the co-authorship network connecting the top 25 collaborators of Marc S. Cortese. A scholar is included among the top collaborators of Marc S. Cortese 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 Marc S. Cortese. Marc S. Cortese is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 28 | |
| 2 | 7 | |
| 3 | 22 | |
| 4 | 36 | |
| 5 | 123 | |
| 6 | 37 | |
| 7 | 31 | |
| 8 | 47 | |
| 9 | 235 | |
| 10 | 31 | |
| 11 | 160 | |
| 12 | 129 | |
| 13 | Analysis of Molecular Recognition Features (MoRFs)breakdown → | 597 |
| 14 | DisProt: the Database of Disordered Proteinsbreakdown → | 651 |
| 15 | 195 | |
| 16 | Flexible netsbreakdown → | 913 |
| 17 | Coupled Folding and Binding with α-Helix-Forming Molecular Recognition Elementsbreakdown → | 521 |
| 18 | 185 | |
| 19 | 56 | |
| 20 | 16 |
About Marc S. Cortese
Marc S. Cortese is a scholar working on Molecular Biology, Pharmacology and Materials Chemistry, having authored 31 papers that have together received 5.4k indexed citations. Recurring topics across this work include Protein Structure and Dynamics (12 papers), Enzyme Structure and Function (9 papers) and Fungal and yeast genetics research (7 papers). The work is most often cited by research in Molecular Biology (4.4k citations), Cell Biology (614 citations) and Materials Chemistry (1.3k citations). Marc S. Cortese has collaborated with scholars based in United States, Russia and Spain. Frequent co-authors include Vladimir N. Uversky, A. Keith Dunker, Christopher J. Oldfield, Pedro Romero, Vladimir Vacic, Lilia M. Iakoucheva, Predrag Radivojac, Yugong Cheng, Amrita Mohan and Zoran Obradović. Their work appears in journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research 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.