Matteo Binda
Impact in
- Aging top 5%
- Cell Biology top 10%
- Cellular transport and secretion
Papers in
-
- Chemical Synthesis and Analysis 5
- Nicotinic Acetylcholine Receptors Study 5
- Receptor Mechanisms and Signaling 4
- Fungal and yeast genetics research 3
- Co-authors
- Claudio De Virgilio (2 shared papers)Joris Winderickx (2 shared papers)Jörg Urban (1 shared paper)Nicolas Panchaud (1 shared paper)Marie-Pierre Péli-Gulli (1 shared paper)Thomas W. Sturgill (1 shared paper)Robbie Loewith (1 shared paper)Serge Pelet (1 shared paper)
- Journals
- Tetrahedron Asymmetry (3 papers)BMC Plant Biology (2 papers)Bioorganic & Medicinal Chemistry Letters (2 papers)Journal of Medicinal Chemistry (2 papers)Protein Science (1 paper)
- Partner nations
- ItalySwitzerlandBelgium
In The Last Decade
Matteo Binda
17 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 89
- Aging 67
- Cell Biology 203
- Molecular Biology 845
- Plant Science 384
- Physiology 35
Countries citing papers authored by Matteo Binda
This map shows the geographic impact of Matteo Binda'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 Matteo Binda with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Matteo Binda more than expected).
Fields of papers citing papers by Matteo Binda
This network shows the impact of papers produced by Matteo Binda. 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 Matteo Binda. The network helps show where Matteo Binda may publish in the future.
Co-authors
The 25 scholars most cited alongside Matteo Binda, 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 | 2009 | 354 | |
| 2 | 2010 | 228 | |
| 3 | 2010 | 183 | |
| 4 | 2011 | 140 | |
| 5 | 2013 | 105 | |
| 6 | 2013 | 61 | |
| 7 | 2008 | 35 | |
| 8 | 2015 | 27 | |
| 9 | 2011 | 26 | |
| 10 | 2007 | 21 | |
| 11 | 2008 | 18 | |
| 12 | 2016 | 14 | |
| 13 | 2010 | 10 | |
| 14 | 2008 | 10 | |
| 15 | 2012 | 8 | |
| 16 | 2013 | 4 | |
| 17 | 2012 | 3 |
About Matteo Binda
Matteo Binda is a scholar working on Molecular Biology, Organic Chemistry, Cell Biology, Biomedical Engineering and Inorganic Chemistry, having authored 17 papers that have together received 1.2k indexed citations. Recurring topics across this work include Chemical Synthesis and Analysis (5 papers), Nicotinic Acetylcholine Receptors Study (5 papers), Receptor Mechanisms and Signaling (4 papers), Fungal and yeast genetics research (3 papers), Asymmetric Hydrogenation and Catalysis (2 papers), Postharvest Quality and Shelf Life Management (1 paper), Organic Electronics and Photovoltaics (1 paper) and Endoplasmic Reticulum Stress and Disease (1 paper). The work is most often cited by research in Aging (67 citations), Cell Biology (203 citations), Molecular Biology (845 citations), Plant Science (384 citations) and Physiology (35 citations). Matteo Binda has collaborated with scholars based in Italy, Switzerland and Belgium. Frequent co-authors include Claudio De Virgilio, Joris Winderickx, Jörg Urban, Nicolas Panchaud, Marie-Pierre Péli-Gulli, Thomas W. Sturgill, Robbie Loewith, Serge Pelet, Sung Sik Lee and Matthias Peter. Their work appears in journals such as Tetrahedron Asymmetry, BMC Plant Biology, Bioorganic & Medicinal Chemistry Letters, Journal of Medicinal Chemistry and Protein Science.
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.