Alberto Puliafito
Impact in
- Cell Biology top 2%
- Cellular Mechanics and Interactions
- Microtubule and mitosis dynamics
- Hippo pathway signaling and YAP/TAZ
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- Rheology and Fluid Dynamics Studies
Papers in
-
- Protein Kinase Regulation and GTPase Signaling 4
- Renal and related cancers 3
- Pluripotent Stem Cells Research 3
- Cell Biology 15
- Cellular Mechanics and Interactions 10
- Microtubule and mitosis dynamics 4
- Hippo pathway signaling and YAP/TAZ 4
- Co-authors
- Luca Primo (22 shared papers)Paolo Armando Gagliardi (10 shared papers)Laura di Blasio (11 shared papers)Stefano Di Talia (7 shared papers)Alex Sigal (1 shared paper)Boris I. Shraiman (1 shared paper)Pierre Neveu (1 shared paper)Sebastian J. Streichan (1 shared paper)
- Journals
- The Journal of Cell Biology (3 papers)Scientific Reports (3 papers)Current Biology (2 papers)Proceedings of the National Academy of Sciences (2 papers)Cancers (2 papers)
- Partner nations
- ItalyUnited StatesFrance
In The Last Decade
Alberto Puliafito
34 papers receiving 1.6k citations
Peers
Comparison fields: 5 of 122
- Cell Biology 546
- Fluid Flow and Transfer Processes 87
- Modeling and Simulation 57
- Molecular Biology 708
- Aging 18
Countries citing papers authored by Alberto Puliafito
This map shows the geographic impact of Alberto Puliafito'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 Alberto Puliafito with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Alberto Puliafito more than expected).
Fields of papers citing papers by Alberto Puliafito
This network shows the impact of papers produced by Alberto Puliafito. 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 Alberto Puliafito. The network helps show where Alberto Puliafito may publish in the future.
Co-authors
The 25 scholars most cited alongside Alberto Puliafito, 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 34 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2012 | 329 | |
| 2 | 2017 | 145 | |
| 3 | 2014 | 98 | |
| 4 | 2015 | 95 | |
| 5 | 2019 | 91 | |
| 6 | 2018 | 89 | |
| 7 | 2016 | 66 | |
| 8 | 2018 | 64 | |
| 9 | 2017 | 58 | |
| 10 | 2019 | 53 | |
| 11 | 2016 | 42 | |
| 12 | 2013 | 41 | |
| 13 | 2005 | 41 | |
| 14 | 2005 | 36 | |
| 15 | 2022 | 35 | |
| 16 | 2014 | 35 | |
| 17 | 2015 | 31 | |
| 18 | 2019 | 31 | |
| 19 | 2006 | 27 | |
| 20 | 2015 | 27 |
About Alberto Puliafito
Alberto Puliafito is a scholar working on Molecular Biology, Cell Biology, Biomedical Engineering, Oncology and Computational Mechanics, having authored 34 papers that have together received 1.6k indexed citations. Recurring topics across this work include Cellular Mechanics and Interactions (10 papers), 3D Printing in Biomedical Research (5 papers), Microtubule and mitosis dynamics (4 papers), Protein Kinase Regulation and GTPase Signaling (4 papers), Hippo pathway signaling and YAP/TAZ (4 papers), Renal and related cancers (3 papers), Mathematical Biology Tumor Growth (3 papers) and Pluripotent Stem Cells Research (3 papers). The work is most often cited by research in Cell Biology (546 citations), Fluid Flow and Transfer Processes (87 citations), Modeling and Simulation (57 citations), Molecular Biology (708 citations) and Aging (18 citations). Alberto Puliafito has collaborated with scholars based in Italy, United States and France. Frequent co-authors include Luca Primo, Paolo Armando Gagliardi, Laura di Blasio, Stefano Di Talia, Alex Sigal, Boris I. Shraiman, Pierre Neveu, Sebastian J. Streichan, Deborah Kuchnir Fygenson and Lars Hufnagel. Their work appears in journals such as The Journal of Cell Biology, Scientific Reports, Current Biology, Proceedings of the National Academy of Sciences and Cancers.
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.