Giulia Palermo
Impact in
- Aging top 5%
Papers in
-
- CRISPR and Genetic Engineering 49
- RNA and protein synthesis mechanisms 44
- Advanced biosensing and bioanalysis techniques 26
- DNA and Nucleic Acid Chemistry 11
- Protein Structure and Dynamics 6
- RNA Research and Splicing 5
- Genetics 11
- Bacterial Genetics and Biotechnology 6
- Co-authors
- Martin Jínek (12 shared papers)Ursula Röthlisberger (14 shared papers)J. Andrew McCammon (9 shared papers)Marco De Vivo (13 shared papers)Yinglong Miao (5 shared papers)Aakash Saha (14 shared papers)Alessandra Magistrato (7 shared papers)Lorenzo Casalino (6 shared papers)
- Journals
- Biophysical Journal (10 papers)Journal of Chemical Information and Modeling (6 papers)Nucleic Acids Research (5 papers)eLife (4 papers)Frontiers in Molecular Biosciences (4 papers)
- Partner nations
- United StatesSwitzerlandItaly
In The Last Decade
Giulia Palermo
89 papers receiving 3.1k citations
Giulia Palermo's Hit Papers
Peers
Comparison fields: 5 of 120
- Business and International Management 116
- Aging 82
- Molecular Biology 2.4k
- Structural Biology 31
- Toxicology 38
Countries citing papers authored by Giulia Palermo
This map shows the geographic impact of Giulia Palermo'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 Palermo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Giulia Palermo more than expected).
Fields of papers citing papers by Giulia Palermo
This network shows the impact of papers produced by Giulia Palermo. 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 Palermo. The network helps show where Giulia Palermo may publish in the future.
Co-authors
The 25 scholars most cited alongside Giulia Palermo, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 93 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Gaussian accelerated molecular dynamics: Principles and applications Hit paper breakdown → | 2021 | 202 |
| 2 | 2016 | 157 | |
| 3 | 2017 | 139 | |
| 4 | 2015 | 139 | |
| 5 | 2022 | 131 | |
| 6 | 2022 | 122 | |
| 7 | 2015 | 107 | |
| 8 | 2016 | 105 | |
| 9 | 2017 | 104 | |
| 10 | 2019 | 99 | |
| 11 | 2018 | 95 | |
| 12 | 2020 | 81 | |
| 13 | 2019 | 81 | |
| 14 | 2016 | 75 | |
| 15 | 2017 | 72 | |
| 16 | 2019 | 63 | |
| 17 | 2018 | 59 | |
| 18 | 2016 | 55 | |
| 19 | 2023 | 51 | |
| 20 | 2013 | 49 |
About Giulia Palermo
Giulia Palermo is a scholar working on Molecular Biology, Genetics, Pharmacology, Oncology and Spectroscopy, having authored 93 papers that have together received 3.2k indexed citations. Recurring topics across this work include CRISPR and Genetic Engineering (49 papers), RNA and protein synthesis mechanisms (44 papers), Advanced biosensing and bioanalysis techniques (26 papers), DNA and Nucleic Acid Chemistry (11 papers), Cannabis and Cannabinoid Research (6 papers), Bacterial Genetics and Biotechnology (6 papers), Protein Structure and Dynamics (6 papers) and RNA Research and Splicing (5 papers). The work is most often cited by research in Business and International Management (116 citations), Aging (82 citations), Molecular Biology (2.4k citations), Structural Biology (31 citations) and Toxicology (38 citations). Giulia Palermo has collaborated with scholars based in United States, Switzerland and Italy. Frequent co-authors include Martin Jínek, Ursula Röthlisberger, J. Andrew McCammon, Marco De Vivo, Yinglong Miao, Aakash Saha, Alessandra Magistrato, Lorenzo Casalino, Pablo R. Arantes and Łukasz Nierzwicki. Their work appears in journals such as Biophysical Journal, Journal of Chemical Information and Modeling, Nucleic Acids Research, eLife and Frontiers in Molecular Biosciences.
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.