Giulia Morra
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- Computational Drug Discovery Methods 15
- Molecular Biology top 5%
- Protein Structure and Dynamics 34
- Heat shock proteins research 15
- Receptor Mechanisms and Signaling 9
- RNA and protein synthesis mechanisms 6
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- thermodynamics and calorimetric analyses 6
- Cell Biology top 10%
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- Enzyme Structure and Function 12
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- Mass Spectrometry Techniques and Applications 4
- Co-authors
- Giorgio ColomboGennady M. VerkhivkerMassimiliano MeliAlessandro GenoniErnst‐Walter KnappElisabetta MoroniCristian MichelettiRaffaello Potestio
- Journals
- The Journal of Physical Chemistry B (5 papers)Journal of Chemical Theory and Computation (4 papers)PLoS Computational Biology (3 papers)
- Partner nations
- ItalyUnited StatesGermany
In The Last Decade
Giulia Morra
56 papers receiving 1.7k citations
Peers
Comparison fields: 5 of 104
- Computational Theory and Mathematics 375
- Molecular Biology 1.5k
- Physical and Theoretical Chemistry 130
- Cell Biology 115
- Aging 12
Countries citing papers authored by Giulia Morra
This map shows the geographic impact of Giulia Morra'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 Giulia Morra with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Giulia Morra more than expected).
Fields of papers citing papers by Giulia Morra
This network shows the impact of papers produced by Giulia Morra. 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 Giulia Morra. The network helps show where Giulia Morra may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Giulia Morra, 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 | 2025 | 2 | |
| 2 | 2023 | 1 | |
| 3 | 2023 | 4 | |
| 4 | 2020 | 36 | |
| 5 | 2020 | 11 | |
| 6 | 2018 | 2 | |
| 7 | 2018 | 72 | |
| 8 | 2018 | 10 | |
| 9 | 2017 | 7 | |
| 10 | 2016 | 1 | |
| 11 | 2016 | 32 | |
| 12 | 2016 | 14 | |
| 13 | 2016 | 60 | |
| 14 | 2010 | 16 | |
| 15 | 2009 | 15 | |
| 16 | 2009 | 128 | |
| 17 | 2008 | 16 | |
| 18 | 2008 | 53 | |
| 19 | 2007 | 4 | |
| 20 | 2003 | 18 |
About Giulia Morra
Giulia Morra is a scholar working on Computational Theory and Mathematics, Physical and Theoretical Chemistry and Molecular Biology, having authored 59 papers that have together received 1.7k indexed citations. Recurring topics across this work include Protein Structure and Dynamics (34 papers), Computational Drug Discovery Methods (15 papers), Heat shock proteins research (15 papers), Enzyme Structure and Function (12 papers), Receptor Mechanisms and Signaling (9 papers), RNA and protein synthesis mechanisms (6 papers), thermodynamics and calorimetric analyses (6 papers) and Mass Spectrometry Techniques and Applications (4 papers). The work is most often cited by research in Computational Theory and Mathematics (375 citations), Molecular Biology (1.5k citations) and Physical and Theoretical Chemistry (130 citations). Giulia Morra has collaborated with scholars based in Italy, United States and Germany. Frequent co-authors include Giorgio Colombo, Gennady M. Verkhivker, Massimiliano Meli, Alessandro Genoni, Ernst‐Walter Knapp, Elisabetta Moroni, Cristian Micheletti, Raffaello Potestio, George Khelashvili and Guido Scarabelli. Their work appears in journals such as The Journal of Physical Chemistry B, Journal of Chemical Theory and Computation, PLoS Computational Biology, Scientific Reports and Proteins Structure Function and Bioinformatics.
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.