Filippo Pullara

710 total citations
17 papers, 528 citations indexed

About

Filippo Pullara is a scholar working on Molecular Biology, Materials Chemistry and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Filippo Pullara has authored 17 papers receiving a total of 528 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Molecular Biology, 4 papers in Materials Chemistry and 3 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Filippo Pullara's work include Protein Structure and Dynamics (7 papers), Enzyme Structure and Function (4 papers) and Radiomics and Machine Learning in Medical Imaging (2 papers). Filippo Pullara is often cited by papers focused on Protein Structure and Dynamics (7 papers), Enzyme Structure and Function (4 papers) and Radiomics and Machine Learning in Medical Imaging (2 papers). Filippo Pullara collaborates with scholars based in United States, Italy and Argentina. Filippo Pullara's co-authors include Antonio Emanuele, Carlo Casarino, Valeria Militello, Maurizio Leone, D. Lansing Taylor, Guillermo Calero, M. U. Palma, Akif Burak Tosun, Michael J. Becich and Jeffrey L. Fine and has published in prestigious journals such as Nature Communications, Journal of Clinical Oncology and Molecular Cell.

In The Last Decade

Filippo Pullara

17 papers receiving 519 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Filippo Pullara United States 8 320 80 65 50 49 17 528
Carlo Casarino Italy 5 182 0.6× 92 1.1× 43 0.7× 42 0.8× 50 1.0× 8 390
Ramón Garduño‐Juárez Mexico 13 363 1.1× 18 0.2× 73 1.1× 26 0.5× 51 1.0× 48 571
Benjamin R. Smith United Kingdom 12 313 1.0× 24 0.3× 78 1.2× 9 0.2× 97 2.0× 19 687
Jennifer Dorney United Kingdom 5 323 1.0× 28 0.3× 58 0.9× 20 0.4× 234 4.8× 9 1.1k
Vincent Vagenende Singapore 9 397 1.2× 67 0.8× 94 1.4× 22 0.4× 66 1.3× 9 582
Małgorzata Kotulska Poland 18 460 1.4× 28 0.3× 113 1.7× 129 2.6× 291 5.9× 66 967
Yifan Ge China 14 566 1.8× 13 0.2× 21 0.3× 44 0.9× 75 1.5× 25 756
Zhe Jia United States 14 328 1.0× 33 0.4× 54 0.8× 17 0.3× 48 1.0× 24 535
Aurélie Bornot France 15 741 2.3× 9 0.1× 194 3.0× 28 0.6× 116 2.4× 27 956
Stefan Ganscha Switzerland 5 277 0.9× 15 0.2× 115 1.8× 13 0.3× 33 0.7× 6 415

Countries citing papers authored by Filippo Pullara

Since Specialization
Citations

This map shows the geographic impact of Filippo Pullara'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 Filippo Pullara with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Filippo Pullara more than expected).

Fields of papers citing papers by Filippo Pullara

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Filippo Pullara. 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 Filippo Pullara. The network helps show where Filippo Pullara may publish in the future.

Co-authorship network of co-authors of Filippo Pullara

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

All Works

17 of 17 papers shown
1.
Amatore, F., Shaum Sridharan, Arivarasan Karunamurthy, et al.. (2024). Pathologic response rates to neoadjuvant pembrolizumab in locally advanced (LA) resectable cutaneous squamous cell carcinoma (cSCC).. Journal of Clinical Oncology. 42(16_suppl). 9591–9591. 5 indexed citations
2.
Pullara, Filippo, Ignacio J. General, Joseph C. Ayoob, et al.. (2024). NADPH oxidase 2 activity disrupts Calmodulin/CaMKIIα complex via redox modifications of CaMKIIα-contained Cys30 and Cys289: Implications in Parkinson's disease. Redox Biology. 75. 103254–103254. 6 indexed citations
3.
4.
Stern, Andrew M., et al.. (2021). In situ functional cell phenotyping reveals microdomain networks in colorectal cancer recurrence. Cell Reports Methods. 1(5). 100072–100072. 3 indexed citations
5.
Uttam, Shikhar, Andrew M. Stern, Christopher J. Sevinsky, et al.. (2020). Spatial domain analysis predicts risk of colorectal cancer recurrence and infers associated tumor microenvironment networks. Nature Communications. 11(1). 3515–3515. 21 indexed citations
6.
Tosun, Akif Burak, et al.. (2020). Explainable AI (xAI) for Anatomic Pathology. Advances in Anatomic Pathology. 27(4). 241–250. 50 indexed citations
7.
Pullara, Filippo, Wenzhi Mao, & Mert Gür. (2019). Why protein conformers in molecular dynamics simulations differ from theircrystal structures: a thermodynamic insight. TURKISH JOURNAL OF CHEMISTRY. 43(2). 394–403. 6 indexed citations
8.
Pullara, Filippo, Eliana K. Asciutto, & Ignacio J. General. (2017). Mechanisms of Activation and Subunit Release in Ca2+/Calmodulin-Dependent Protein Kinase II. The Journal of Physical Chemistry B. 121(45). 10344–10352. 4 indexed citations
9.
Yang, Jing, Antonella Cusimano, Morgan Preziosi, et al.. (2015). WNT5A Inhibits Hepatocyte Proliferation and Concludes β-Catenin Signaling in Liver Regeneration. American Journal Of Pathology. 185(8). 2194–2205. 27 indexed citations
10.
Barnes, Christopher O., Monica Calero, Indranil Malik, et al.. (2015). Crystal Structure of a Transcribing RNA Polymerase II Complex Reveals a Complete Transcription Bubble. Molecular Cell. 59(2). 258–269. 82 indexed citations
11.
Pullara, Filippo & Ignacio J. General. (2015). Population reversal driven by unrestrained interactions in molecular dynamics simulations: A dialanine model. AIP Advances. 5(10). 2 indexed citations
12.
Pullara, Filippo, Jennifer Guerrero‐Santoro, Monica Calero, et al.. (2012). A general path for large-scale solubilization of cellular proteins: From membrane receptors to multiprotein complexes. Protein Expression and Purification. 87(2). 111–119. 13 indexed citations
13.
Pullara, Filippo, Emanuele Amadio, M. B. Palma‐Vittorelli, & M. U. Palma. (2008). Protein crystallization: universal thermodynamic vs. specific effects of PEG. Faraday Discussions. 139. 299–299. 6 indexed citations
14.
Pullara, Filippo & Antonio Emanuele. (2008). Early stages of β2‐microglobulin aggregation and the inhibiting action of αB‐crystallin. Proteins Structure Function and Bioinformatics. 73(4). 1037–1046. 5 indexed citations
15.
Pullara, Filippo, Emanuele Amadio, M. B. Palma‐Vittorelli, & M. U. Palma. (2007). Protein Aggregation/Crystallization and Minor Structural Changes: Universal versus Specific Aspects. Biophysical Journal. 93(9). 3271–3278. 16 indexed citations
16.
Militello, Valeria, et al.. (2004). Aggregation kinetics of bovine serum albumin studied by FTIR spectroscopy and light scattering. Biophysical Chemistry. 107(2). 175–187. 272 indexed citations
17.
Pullara, Filippo, Emanuele Amadio, M. B. Palma‐Vittorelli, & M. U. Palma. (2004). Lysozyme crystallization rates controlled by anomalous fluctuations. Journal of Crystal Growth. 274(3-4). 536–544. 9 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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