Giulia Palermo

4.7k total citations · 1 hit paper
89 papers, 3.0k citations indexed

About

Giulia Palermo is a scholar working on Molecular Biology, Genetics and Pharmacology. According to data from OpenAlex, Giulia Palermo has authored 89 papers receiving a total of 3.0k indexed citations (citations by other indexed papers that have themselves been cited), including 78 papers in Molecular Biology, 11 papers in Genetics and 8 papers in Pharmacology. Recurrent topics in Giulia Palermo's work include CRISPR and Genetic Engineering (49 papers), RNA and protein synthesis mechanisms (44 papers) and Advanced biosensing and bioanalysis techniques (26 papers). Giulia Palermo is often cited by papers focused on CRISPR and Genetic Engineering (49 papers), RNA and protein synthesis mechanisms (44 papers) and Advanced biosensing and bioanalysis techniques (26 papers). Giulia Palermo collaborates with scholars based in United States, Switzerland and Italy. Giulia Palermo's co-authors include Martin Jínek, Ursula Röthlisberger, J. Andrew McCammon, Yinglong Miao, Marco De Vivo, Aakash Saha, Alessandra Magistrato, Lorenzo Casalino, Pablo R. Arantes and Łukasz Nierzwicki and has published in prestigious journals such as Cell, Proceedings of the National Academy of Sciences and Journal of the American Chemical Society.

In The Last Decade

Giulia Palermo

87 papers receiving 3.0k citations

Hit Papers

Gaussian accelerated molecular dynamics: Principles and a... 2021 2026 2022 2024 2021 50 100 150

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Giulia Palermo United States 32 2.3k 349 242 232 217 89 3.0k
Jin Liu United States 29 1.8k 0.8× 161 0.5× 41 0.2× 147 0.6× 239 1.1× 80 2.4k
Lorenz M. Mayr Switzerland 28 2.3k 1.0× 304 0.9× 52 0.2× 434 1.9× 207 1.0× 51 3.1k
Marc Ostermeier United States 31 2.7k 1.2× 348 1.0× 122 0.5× 133 0.6× 701 3.2× 95 3.4k
Ervin Welker Hungary 27 2.2k 1.0× 399 1.1× 29 0.1× 957 4.1× 233 1.1× 63 3.4k
Peixiang Ma China 27 1.4k 0.6× 201 0.6× 58 0.2× 107 0.5× 40 0.2× 95 2.2k
Vikram Khipple Mulligan United States 20 2.5k 1.1× 494 1.4× 37 0.2× 183 0.8× 167 0.8× 32 3.0k
Lindsey Doyle United States 15 1.7k 0.8× 452 1.3× 29 0.1× 63 0.3× 172 0.8× 22 2.1k
Stuart A. Sievers United States 17 3.0k 1.3× 585 1.7× 103 0.4× 465 2.0× 177 0.8× 24 4.4k
Ulrich Schopfer Switzerland 15 962 0.4× 151 0.4× 30 0.1× 80 0.3× 73 0.3× 34 1.8k
Rodrigo Galindo‐Murillo United States 21 1.5k 0.6× 221 0.6× 42 0.2× 431 1.9× 73 0.3× 65 2.1k

Countries citing papers authored by Giulia Palermo

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Giulia Palermo

This figure shows the co-authorship network connecting the top 25 collaborators of Giulia Palermo. A scholar is included among the top collaborators of Giulia Palermo 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 Giulia Palermo. Giulia Palermo is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Nierzwicki, Łukasz, et al.. (2025). Flexibility in PAM recognition expands DNA targeting in xCas9. eLife. 13. 2 indexed citations
2.
Lisi, George P., et al.. (2025). Design Rules for Expanding PAM Compatibility in CRISPR-Cas9 from the VQR, VRER and EQR variants. The Journal of Physical Chemistry B. 129(46). 11949–11958. 1 indexed citations
3.
Saha, Aakash, et al.. (2025). CRISPR-Cas12a REC2–Nuc interactions drive target-strand cleavage and constrain trans cleavage. Nucleic Acids Research. 53(18). 1 indexed citations
4.
Palermo, Giulia, et al.. (2025). Emerging Mechanisms of Metal-Catalyzed RNA and DNA Modifications. Annual Review of Physical Chemistry. 76(1). 497–518. 2 indexed citations
5.
Arantes, Pablo R., et al.. (2025). Unveiling Cas8 dynamics and regulation within a transposon-encoded Cascade–TniQ complex. Proceedings of the National Academy of Sciences. 122(14). e2422895122–e2422895122. 3 indexed citations
7.
Palermo, Giulia, et al.. (2024). Graph theory approaches for molecular dynamics simulations. Quarterly Reviews of Biophysics. 57. e15–e15. 6 indexed citations
8.
Saha, Aakash, Mohd Ahsan, Pablo Arantes, et al.. (2024). An alpha-helical lid guides the target DNA toward catalysis in CRISPR-Cas12a. Nature Communications. 15(1). 1473–1473. 29 indexed citations
9.
Skeens, Erin, Mohd Ahsan, Alexandra M. D’Ordine, et al.. (2024). High-fidelity, hyper-accurate, and evolved mutants rewire atomic-level communication in CRISPR-Cas9. Science Advances. 10(10). eadl1045–eadl1045. 18 indexed citations
10.
Wang, Jimin, Pablo R. Arantes, Mohd Ahsan, et al.. (2023). Twisting and swiveling domain motions in Cas9 to recognize target DNA duplexes, make double-strand breaks, and release cleaved duplexes. Frontiers in Molecular Biosciences. 9. 1072733–1072733. 12 indexed citations
11.
Ahsan, Mohd, et al.. (2023). Machines on Genes through the Computational Microscope. Journal of Chemical Theory and Computation. 19(7). 1945–1964. 12 indexed citations
12.
Lin, Chun‐Han, Antoine Cléry, Aakash Saha, et al.. (2022). Structural basis for Cas9 off-target activity. Cell. 185(22). 4067–4081.e21. 117 indexed citations
13.
D’Ordine, Alexandra M., et al.. (2022). Disruption of electrostatic contacts in the HNH nuclease from a thermophilic Cas9 rewires allosteric motions and enhances high-temperature DNA cleavage. The Journal of Chemical Physics. 157(22). 225103–225103. 6 indexed citations
14.
Wang, Jinan, Pablo Arantes, Apurba Bhattarai, et al.. (2021). Gaussian accelerated molecular dynamics: Principles and applications. Wiley Interdisciplinary Reviews Computational Molecular Science. 11(5). 189 indexed citations breakdown →
15.
Nierzwicki, Łukasz, et al.. (2021). Folding‐upon‐Repair DNA Nanoswitches for Monitoring the Activity of DNA Repair Enzymes. Angewandte Chemie International Edition. 60(13). 7283–7289. 42 indexed citations
16.
Nierzwicki, Łukasz, et al.. (2021). Folding‐upon‐Repair DNA Nanoswitches for Monitoring the Activity of DNA Repair Enzymes. Angewandte Chemie. 133(13). 7359–7365. 12 indexed citations
17.
Ricci, Clarisse G., Janice S. Chen, Yinglong Miao, et al.. (2019). Deciphering Off-Target Effects in CRISPR-Cas9 through Accelerated Molecular Dynamics. ACS Central Science. 5(4). 651–662. 96 indexed citations
18.
Palermo, Giulia, Clarisse G. Ricci, Janice S. Chen, et al.. (2019). Molecular Mechanism of Off-Target Effects in CRISPR-Cas9. Biophysical Journal. 116(3). 319a–319a. 1 indexed citations
19.
Palermo, Giulia, Clarisse G. Ricci, Amendra Fernando, et al.. (2017). Protospacer Adjacent Motif-Induced Allostery Activates CRISPR-Cas9. Journal of the American Chemical Society. 139(45). 16028–16031. 102 indexed citations
20.
Palermo, Giulia, Zenita Adhireksan, Benjamin S. Murray, et al.. (2016). An Organometallic Compound which Exhibits a DNA Topology‐Dependent One‐Stranded Intercalation Mode. Angewandte Chemie International Edition. 55(26). 7441–7444. 20 indexed citations

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.

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