Dennis Della Corte
- Molecular Biology
- Materials Chemistry
- Computational Theory and Mathematics top 10%
- Public Health, Environmental and Occupational Health
- Biomedical Engineering
- Co-authors
- Gunnar F. SchröderAndré WildbergChristine SchlickerEckhard HofmannAlexander GrünbergerMarcus SchallmeyHugo L. van BeekJan Marienhagen
- Topics
- Protein Structure and Dynamics (13 papers)Machine Learning in Materials Science (5 papers)RNA and protein synthesis mechanisms (5 papers)
- Journals
- Nature CommunicationsSHILAP Revista de lepidopterologíaPLoS ONE
- Partner nations
- United StatesGermanyAustralia
In The Last Decade
Dennis Della Corte
29 papers receiving 416 citations
Peers
Comparison fields: 5 of 106
- Molecular Biology 232
- Materials Chemistry 94
- Computational Theory and Mathematics 54
- Public Health, Environmental and Occupational Health 36
- Biomedical Engineering 31
Countries citing papers authored by Dennis Della Corte
This map shows the geographic impact of Dennis Della Corte'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 Dennis Della Corte with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dennis Della Corte more than expected).
Fields of papers citing papers by Dennis Della Corte
This network shows the impact of papers produced by Dennis Della Corte. 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 Dennis Della Corte. The network helps show where Dennis Della Corte may publish in the future.
Co-authorship network of co-authors of Dennis Della Corte
This figure shows the co-authorship network connecting the top 25 collaborators of Dennis Della Corte. A scholar is included among the top collaborators of Dennis Della Corte 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 Dennis Della Corte. Dennis Della Corte 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 | 1 | |
| 3 | 1 | |
| 4 | 3 | |
| 5 | 0 | |
| 6 | 1 | |
| 7 | 1 | |
| 8 | 1 | |
| 9 | 3 | |
| 10 | 5 | |
| 11 | 4 | |
| 12 | 0 | |
| 13 | 43 | |
| 14 | 10 | |
| 15 | 17 | |
| 16 | 13 | |
| 17 | 2 | |
| 18 | 79 | |
| 19 | 25 | |
| 20 | 12 |
About Dennis Della Corte
Dennis Della Corte is a scholar working on Health Informatics, Information Systems and Management and Biophysics, having authored 32 papers that have together received 421 indexed citations. Recurring topics across this work include Protein Structure and Dynamics (13 papers), Machine Learning in Materials Science (5 papers) and RNA and protein synthesis mechanisms (5 papers). The work is most often cited by research in Fluid Flow and Transfer Processes (25 citations), Computational Theory and Mathematics (54 citations) and Molecular Biology (232 citations). Dennis Della Corte has collaborated with scholars based in United States, Germany and Australia. Frequent co-authors include Gunnar F. Schröder, André Wildberg, Christine Schlicker, Eckhard Hofmann, Alexander Grünberger, Marcus Schallmey, Hugo L. van Beek, Jan Marienhagen, Karin Krumbach and Anette E. Buyken. Their work appears in journals such as Nature Communications, SHILAP Revista de lepidopterología and PLoS ONE.
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.