Alberto Bartesaghi
- Structural Biology top 0.05%
- Advanced Electron Microscopy Techniques and Applications 31
- Virology top 0.5%
- HIV Research and Treatment 13
- Computational Mathematics top 2%
- Surfaces, Coatings and Films top 0.5%
- Electron and X-Ray Spectroscopy Techniques 14
-
- RNA and protein synthesis mechanisms 14
- Glycosylation and Glycoproteins Research 5
-
- Enzyme Structure and Function 8
-
- Advanced X-ray Imaging Techniques 7
-
- Monoclonal and Polyclonal Antibodies Research 5
- Co-authors
- Sriram SubramaniamGuillermo SapiroMario J. BorgniaOleg KuybedaGabriel A. FrankJacqueline L.S. MilneAlan MerkSoojay Banerjee
- Partner nations
- United StatesIndiaUnited Kingdom
In The Last Decade
Alberto Bartesaghi
70 papers receiving 6.1k citations
Hit Papers
Peers
Comparison fields: 5 of 166
- Structural Biology 1.3k
- Virology 1.2k
- Computational Mathematics 66
- Surfaces, Coatings and Films 606
- Computer Vision and Pattern Recognition 1.2k
Countries citing papers authored by Alberto Bartesaghi
This map shows the geographic impact of Alberto Bartesaghi'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 Bartesaghi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Alberto Bartesaghi more than expected).
Fields of papers citing papers by Alberto Bartesaghi
This network shows the impact of papers produced by Alberto Bartesaghi. 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 Bartesaghi. The network helps show where Alberto Bartesaghi may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Alberto Bartesaghi, 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 | 2024 | 6 | |
| 2 | 2024 | 8 | |
| 3 | 2024 | 2 | |
| 4 | 2023 | 7 | |
| 5 | 2023 | 8 | |
| 6 | 2022 | 23 | |
| 7 | 2020 | 22 | |
| 8 | 2016 | 269 | |
| 9 | 2016 | 94 | |
| 10 | 2015 | 9 | |
| 11 | 2015 | 2 | |
| 12 | A collaborative framework for 3D alignment and classification of heterogeneous subvolumes in cryo-electron tomographybreakdown → | 2012 | 1561 |
| 13 | 2012 | 19 | |
| 14 | 2012 | 161 | |
| 15 | 2011 | 15 | |
| 16 | 2010 | 140 | |
| 17 | 2009 | 51 | |
| 18 | Molecular Architecture of Native HIV-1 gp 120 Trimers | 2008 | 1 |
| 19 | 2007 | 49 | |
| 20 | 2001 | 40 |
About Alberto Bartesaghi
Alberto Bartesaghi is a scholar working on Structural Biology, Virology and Surfaces, Coatings and Films, having authored 71 papers that have together received 6.2k indexed citations. Recurring topics across this work include Advanced Electron Microscopy Techniques and Applications (31 papers), RNA and protein synthesis mechanisms (14 papers), Electron and X-Ray Spectroscopy Techniques (14 papers), HIV Research and Treatment (13 papers), Enzyme Structure and Function (8 papers), Advanced X-ray Imaging Techniques (7 papers), Glycosylation and Glycoproteins Research (5 papers) and Monoclonal and Polyclonal Antibodies Research (5 papers). The work is most often cited by research in Structural Biology (1.3k citations), Virology (1.2k citations) and Computational Mathematics (66 citations). Alberto Bartesaghi has collaborated with scholars based in United States, India and United Kingdom. Frequent co-authors include Sriram Subramaniam, Guillermo Sapiro, Mario J. Borgnia, Oleg Kuybeda, Gabriel A. Frank, Jacqueline L.S. Milne, Alan Merk, Soojay Banerjee, Jun Liu and Doreen Matthies. Their work appears in journals such as Nature, Science and Cell.
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.