Filippo Pullara
Impact in
- Health Informatics top 10%
-
- Protein Interaction Studies and Fluorescence Analysis
- Protein Structure and Dynamics
- RNA and protein synthesis mechanisms
- Protein purification and stability
- RNA Research and Splicing
Papers in ⓘ
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- Protein Structure and Dynamics 7
- Single-cell and spatial transcriptomics 2
- RNA and protein synthesis mechanisms 2
- Prion Diseases and Protein Misfolding 2
- Co-authors
- Antonio Emanuele (2 shared papers)Carlo Casarino (1 shared paper)Valeria Militello (1 shared paper)Maurizio Leone (1 shared paper)D. Lansing Taylor (4 shared papers)Guillermo Calero (3 shared papers)Jeffrey L. Fine (2 shared papers)M. B. Palma‐Vittorelli (3 shared papers)
- Journals
- Nature Communications (1 paper)Proteins Structure Function and Bioinformatics (1 paper)Cell Reports Methods (1 paper)Molecular Cell (1 paper)The Journal of Physical Chemistry B (1 paper)
- Partner nations
- United StatesItalyArgentina
In The Last Decade
Filippo Pullara
17 papers receiving 519 citations
Peers
Comparison fields: 5 of 103
- Health Informatics 16
- Molecular Biology 320
- Biophysics 26
- Food Science 80
- Structural Biology 6
Countries citing papers authored by Filippo Pullara
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
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-authors
The 25 scholars most cited alongside Filippo Pullara, 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 | 2004 | 272 | |
| 2 | 2015 | 82 | |
| 3 | 2020 | 50 | |
| 4 | 2015 | 27 | |
| 5 | 2020 | 21 | |
| 6 | 2007 | 16 | |
| 7 | 2012 | 13 | |
| 8 | 2004 | 9 | |
| 9 | 2019 | 6 | |
| 10 | 2008 | 6 | |
| 11 | 2024 | 6 | |
| 12 | 2024 | 5 | |
| 13 | 2008 | 5 | |
| 14 | 2017 | 4 | |
| 15 | 2021 | 3 | |
| 16 | 2015 | 2 | |
| 17 | 2022 | 1 |
About Filippo Pullara
Filippo Pullara is a scholar working on Physiology, Molecular Biology, Radiology, Nuclear Medicine and Imaging, Hepatology and Neurology, having authored 17 papers that have together received 528 indexed citations. Recurring topics across this work include Protein Structure and Dynamics (7 papers), Enzyme Structure and Function (4 papers), Single-cell and spatial transcriptomics (2 papers), Spectroscopy and Quantum Chemical Studies (2 papers), RNA and protein synthesis mechanisms (2 papers), Prion Diseases and Protein Misfolding (2 papers), Radiomics and Machine Learning in Medical Imaging (2 papers) and Colorectal Cancer Treatments and Studies (1 paper). The work is most often cited by research in Health Informatics (16 citations), Molecular Biology (320 citations), Biophysics (26 citations), Food Science (80 citations) and Structural Biology (6 citations). Filippo Pullara has collaborated with scholars based in United States, Italy and Argentina. Frequent co-authors include Antonio Emanuele, Carlo Casarino, Valeria Militello, Maurizio Leone, D. Lansing Taylor, Guillermo Calero, Jeffrey L. Fine, M. B. Palma‐Vittorelli, M. U. Palma and Emanuele Amadio. Their work appears in journals such as Nature Communications, Proteins Structure Function and Bioinformatics, Cell Reports Methods, Molecular Cell and The Journal of Physical Chemistry B.
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.