Melanie J. Cocco
- Molecular Biology top 5%
- Cell Biology top 5%
- Microbiology top 2%
- Materials Chemistry
- Radiology, Nuclear Medicine and Imaging top 5%
- Co-authors
- Juliette T. J. LecomteDonald M. EngelmanLynne ReganWilliam P. RussAxel T. BrüngerFang ZhouLuca Domenico D’AndreaYong Xiong
- Topics
- Protein Structure and Dynamics (10 papers)DNA and Nucleic Acid Chemistry (9 papers)RNA and protein synthesis mechanisms (8 papers)
- Journals
- Proceedings of the National Academy of SciencesJournal of the American Chemical SocietyNucleic Acids Research
- Partner nations
- United StatesFranceArgentina
In The Last Decade
Melanie J. Cocco
48 papers receiving 1.9k citations
Peers
Comparison fields: 5 of 101
- Molecular Biology 1.6k
- Cell Biology 333
- Microbiology 260
- Materials Chemistry 235
- Radiology, Nuclear Medicine and Imaging 234
Countries citing papers authored by Melanie J. Cocco
This map shows the geographic impact of Melanie J. Cocco'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 Melanie J. Cocco with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Melanie J. Cocco more than expected).
Fields of papers citing papers by Melanie J. Cocco
This network shows the impact of papers produced by Melanie J. Cocco. 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 Melanie J. Cocco. The network helps show where Melanie J. Cocco may publish in the future.
Co-authorship network of co-authors of Melanie J. Cocco
This figure shows the co-authorship network connecting the top 25 collaborators of Melanie J. Cocco. A scholar is included among the top collaborators of Melanie J. Cocco 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 Melanie J. Cocco. Melanie J. Cocco is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 3 | |
| 2 | 1 | |
| 3 | 33 | |
| 4 | 12 | |
| 5 | 2 | |
| 6 | 42 | |
| 7 | 46 | |
| 8 | 2 | |
| 9 | 8 | |
| 10 | 10 | |
| 11 | Dynamically Consistent Source Time Functions to Invert Kinematic Rupture Histories | 4 |
| 12 | 36 | |
| 13 | 18 | |
| 14 | 63 | |
| 15 | 233 | |
| 16 | 314 | |
| 17 | 46 | |
| 18 | 36 | |
| 19 | 74 | |
| 20 | 60 |
About Melanie J. Cocco
Melanie J. Cocco is a scholar working on Microbiology, Cell Biology and Molecular Biology, having authored 48 papers that have together received 2.0k indexed citations. Recurring topics across this work include Protein Structure and Dynamics (10 papers), DNA and Nucleic Acid Chemistry (9 papers) and RNA and protein synthesis mechanisms (8 papers). The work is most often cited by research in Microbiology (260 citations), Molecular Biology (1.6k citations) and Cell Biology (333 citations). Melanie J. Cocco has collaborated with scholars based in United States, France and Argentina. Frequent co-authors include Juliette T. J. Lecomte, Donald M. Engelman, Lynne Regan, William P. Russ, Axel T. Brünger, Fang Zhou, Luca Domenico D’Andrea, Yong Xiong, Ewan R.G. Main and Luis M. de la Maza. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of the American Chemical Society and Nucleic Acids Research.
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.