Angela Morrone
Impact in
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- Protein Structure and Dynamics
- RNA and protein synthesis mechanisms
- RNA Research and Splicing
- Ubiquitin and proteasome pathways
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- Enzyme Structure and Function
Papers in
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- Protein Structure and Dynamics 13
- RNA and protein synthesis mechanisms 2
- Glycosylation and Glycoproteins Research 1
- Photosynthetic Processes and Mechanisms 1
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- Enzyme Structure and Function 9
- Co-authors
- Stefano Gianni (13 shared papers)Maurizio Brunori (10 shared papers)Rajanish Giri (9 shared papers)Daniela Bonetti (5 shared papers)Angelo Toto (4 shared papers)Michele Vendruscolo (2 shared papers)Carlo Camilloni (2 shared papers)Carlo Travaglini‐Allocatelli (4 shared papers)
- Journals
- Proceedings of the National Academy of Sciences (3 papers)Scientific Reports (2 papers)ACS Chemical Biology (1 paper)Physical Chemistry Chemical Physics (1 paper)Journal of Biological Chemistry (1 paper)
- Partner nations
- ItalyUnited KingdomSweden
In The Last Decade
Angela Morrone
13 papers receiving 537 citations
Peers
Comparison fields: 5 of 72
- Molecular Biology 458
- Materials Chemistry 225
- Cell Biology 66
- Virology 15
- Spectroscopy 46
Countries citing papers authored by Angela Morrone
This map shows the geographic impact of Angela Morrone'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 Angela Morrone with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Angela Morrone more than expected).
Fields of papers citing papers by Angela Morrone
This network shows the impact of papers produced by Angela Morrone. 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 Angela Morrone. The network helps show where Angela Morrone may publish in the future.
Co-authors
The 24 scholars most cited alongside Angela Morrone, 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 | 2016 | 134 | |
| 2 | 2013 | 95 | |
| 3 | 2012 | 71 | |
| 4 | 2014 | 60 | |
| 5 | 2014 | 47 | |
| 6 | 2010 | 36 | |
| 7 | 2012 | 31 | |
| 8 | 2011 | 30 | |
| 9 | 2014 | 17 | |
| 10 | 2012 | 14 | |
| 11 | 2012 | 10 | |
| 12 | 2015 | 4 | |
| 13 | 2012 | 2 |
About Angela Morrone
Angela Morrone is a scholar working on Molecular Biology, Materials Chemistry, Cell Biology, Spectroscopy and Cellular and Molecular Neuroscience, having authored 13 papers that have together received 551 indexed citations. Recurring topics across this work include Protein Structure and Dynamics (13 papers), Enzyme Structure and Function (9 papers), Mass Spectrometry Techniques and Applications (4 papers), Genetic Neurodegenerative Diseases (2 papers), RNA and protein synthesis mechanisms (2 papers), Hemoglobin structure and function (2 papers), Glycosylation and Glycoproteins Research (1 paper) and Photosynthetic Processes and Mechanisms (1 paper). The work is most often cited by research in Molecular Biology (458 citations), Materials Chemistry (225 citations), Cell Biology (66 citations), Virology (15 citations) and Spectroscopy (46 citations). Angela Morrone has collaborated with scholars based in Italy, United Kingdom and Sweden. Frequent co-authors include Stefano Gianni, Maurizio Brunori, Rajanish Giri, Daniela Bonetti, Angelo Toto, Michele Vendruscolo, Carlo Camilloni, Carlo Travaglini‐Allocatelli, Christopher Martin Dobson and Jenny Erales. Their work appears in journals such as Proceedings of the National Academy of Sciences, Scientific Reports, ACS Chemical Biology, Physical Chemistry Chemical Physics 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.