Paolo Conrotto
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- Axon Guidance and Neuronal Signaling 5
- Cell Biology top 5%
- Hippo pathway signaling and YAP/TAZ 3
- Hepatology top 5%
- Developmental Neuroscience top 10%
- Molecular Biology top 10%
- Angiogenesis and VEGF in Cancer 4
- RNA and protein synthesis mechanisms 2
- Glycosylation and Glycoproteins Research 1
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- Advanced Proteomics Techniques and Applications 3
- Mass Spectrometry Techniques and Applications 2
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- Monoclonal and Polyclonal Antibodies Research 2
- Co-authors
- Silvia GiordanoPaolo M. ComoglioSimona CorsoLuca TamagnoneStefania ArtigianiDavide BarberisGiorgio F. GilestroSara Gamberini
- Journals
- Proceedings of the National Academy of Sciences (1 paper)The Journal of Experimental Medicine (1 paper)Blood (1 paper)
- Partner nations
- SwedenItalySwitzerland
In The Last Decade
Paolo Conrotto
14 papers receiving 1.3k citations
Peers
Comparison fields: 5 of 81
- Cellular and Molecular Neuroscience 650
- Cell Biology 319
- Hepatology 154
- Developmental Neuroscience 59
- Molecular Biology 826
Countries citing papers authored by Paolo Conrotto
This map shows the geographic impact of Paolo Conrotto'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 Paolo Conrotto with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Paolo Conrotto more than expected).
Fields of papers citing papers by Paolo Conrotto
This network shows the impact of papers produced by Paolo Conrotto. 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 Paolo Conrotto. The network helps show where Paolo Conrotto may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Paolo Conrotto, 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 | 2017 | 23 | |
| 2 | 2016 | 13 | |
| 3 | 2011 | 29 | |
| 4 | 2008 | 212 | |
| 5 | 2008 | 56 | |
| 6 | 2008 | 14 | |
| 7 | Proteomic approaches in biological and medical sciences: principles and applications. | 2008 | 27 |
| 8 | 2007 | 90 | |
| 9 | 2006 | 32 | |
| 10 | Sulfonation chemistry as a powerful tool for MALDI TOF/TOF de novo sequencing and post-translational modification analysis. | 2005 | 15 |
| 11 | 2005 | 204 | |
| 12 | 2004 | 147 | |
| 13 | 2004 | 128 | |
| 14 | 2002 | 351 |
About Paolo Conrotto
Paolo Conrotto is a scholar working on Cell Biology, Cellular and Molecular Neuroscience and Molecular Biology, having authored 14 papers that have together received 1.3k indexed citations. Recurring topics across this work include Axon Guidance and Neuronal Signaling (5 papers), Angiogenesis and VEGF in Cancer (4 papers), Hippo pathway signaling and YAP/TAZ (3 papers), Advanced Proteomics Techniques and Applications (3 papers), Monoclonal and Polyclonal Antibodies Research (2 papers), RNA and protein synthesis mechanisms (2 papers), Mass Spectrometry Techniques and Applications (2 papers) and Glycosylation and Glycoproteins Research (1 paper). The work is most often cited by research in Cellular and Molecular Neuroscience (650 citations), Cell Biology (319 citations) and Hepatology (154 citations). Paolo Conrotto has collaborated with scholars based in Sweden, Italy and Switzerland. Frequent co-authors include Silvia Giordano, Paolo M. Comoglio, Simona Corso, Luca Tamagnone, Stefania Artigiani, Davide Barberis, Giorgio F. Gilestro, Sara Gamberini, Donatella Valdembri and Guido Serini. Their work appears in journals such as Proceedings of the National Academy of Sciences, The Journal of Experimental Medicine and Blood.
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.