Paola Bisignano
- Pharmacology top 10%
- Cholinesterase and Neurodegenerative Diseases 3
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- Computational Drug Discovery Methods 5
- Molecular Medicine top 10%
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- Protein Structure and Dynamics 4
- Mitochondrial Function and Pathology 4
- ATP Synthase and ATPases Research 3
- Receptor Mechanisms and Signaling 3
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- Amino Acid Enzymes and Metabolism 3
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- Alzheimer's disease research and treatments 3
- Co-authors
- Michael GrabeAndrea CavalliGiovanni BottegoniMarta FilizolaYi ShangDaniel I. PérezAna Martı́nezAngela De Simone
- Journals
- Nature (1 paper)Proceedings of the National Academy of Sciences (3 papers)Angewandte Chemie International Edition (2 papers)
- Partner nations
- United StatesItalySpain
In The Last Decade
Paola Bisignano
28 papers receiving 736 citations
Peers
Comparison fields: 5 of 89
- Pharmacology 155
- Cellular and Molecular Neuroscience 163
- Computational Theory and Mathematics 136
- Molecular Medicine 35
- Molecular Biology 464
Countries citing papers authored by Paola Bisignano
This map shows the geographic impact of Paola Bisignano'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 Paola Bisignano with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Paola Bisignano more than expected).
Fields of papers citing papers by Paola Bisignano
This network shows the impact of papers produced by Paola Bisignano. 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 Paola Bisignano. The network helps show where Paola Bisignano may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Paola Bisignano, 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 | 2025 | 1 | |
| 2 | 2025 | 0 | |
| 3 | 2025 | 3 | |
| 4 | 2024 | 2 | |
| 5 | 2024 | 7 | |
| 6 | 2022 | 29 | |
| 7 | 2022 | 83 | |
| 8 | 2020 | 12 | |
| 9 | 2020 | 14 | |
| 10 | 2018 | 31 | |
| 11 | 2018 | 39 | |
| 12 | 2017 | 2 | |
| 13 | 2017 | 37 | |
| 14 | 2016 | 27 | |
| 15 | 2016 | 31 | |
| 16 | 2014 | 102 | |
| 17 | 2014 | 7 | |
| 18 | 2012 | 5 | |
| 19 | 2011 | 1 | |
| 20 | 2009 | 18 |
About Paola Bisignano
Paola Bisignano is a scholar working on Biochemistry, Computational Theory and Mathematics and Molecular Biology, having authored 29 papers that have together received 743 indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (5 papers), Protein Structure and Dynamics (4 papers), Mitochondrial Function and Pathology (4 papers), Amino Acid Enzymes and Metabolism (3 papers), ATP Synthase and ATPases Research (3 papers), Alzheimer's disease research and treatments (3 papers), Cholinesterase and Neurodegenerative Diseases (3 papers) and Receptor Mechanisms and Signaling (3 papers). The work is most often cited by research in Pharmacology (155 citations), Cellular and Molecular Neuroscience (163 citations) and Computational Theory and Mathematics (136 citations). Paola Bisignano has collaborated with scholars based in United States, Italy and Spain. Frequent co-authors include Michael Grabe, Andrea Cavalli, Giovanni Bottegoni, Marta Filizola, Yi Shang, Daniel I. Pérez, Ana Martı́nez, Angela De Simone, Sebastian Schneider and Angelo D. Favia. Their work appears in journals such as Nature, Proceedings of the National Academy of Sciences and Angewandte Chemie International Edition.
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.