Anna Vangone
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- Computational Drug Discovery Methods 13
- Molecular Biology top 5%
- Protein Structure and Dynamics 22
- RNA and protein synthesis mechanisms 6
- Bioinformatics and Genomic Networks 4
- Machine Learning in Bioinformatics 2
- Infectious Diseases top 5%
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- Monoclonal and Polyclonal Antibodies Research 4
- Immunology top 10%
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- Enzyme Structure and Function 11
- Machine Learning in Materials Science 2
- Co-authors
- Alexandre M. J. J. BonvinLi C. XuePanagiotis L. KastritisJoão RodriguesRomina OlivaLuigi CavalloCunliang GengVittorio Scarano
- Journals
- Proteins Structure Function and Bioinformatics (6 papers)Bioinformatics (6 papers)BMC Bioinformatics (3 papers)
- Partner nations
- NetherlandsItalySaudi Arabia
In The Last Decade
Anna Vangone
30 papers receiving 2.6k citations
Hit Papers
Peers
Comparison fields: 5 of 127
- Computational Theory and Mathematics 526
- Molecular Biology 1.9k
- Infectious Diseases 434
- Radiology, Nuclear Medicine and Imaging 353
- Immunology 279
Countries citing papers authored by Anna Vangone
This map shows the geographic impact of Anna Vangone'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 Anna Vangone with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Anna Vangone more than expected).
Fields of papers citing papers by Anna Vangone
This network shows the impact of papers produced by Anna Vangone. 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 Anna Vangone. The network helps show where Anna Vangone may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Anna Vangone, 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 | 2021 | 6 | |
| 2 | 2021 | 13 | |
| 3 | 2021 | 11 | |
| 4 | 2019 | 13 | |
| 5 | 2018 | 56 | |
| 6 | 2018 | 18 | |
| 7 | 2018 | 24 | |
| 8 | 2018 | 172 | |
| 9 | 2017 | 100 | |
| 10 | 2017 | 72 | |
| 11 | 2016 | 22 | |
| 12 | PRODIGY: a web server for predicting the binding affinity of protein–protein complexesbreakdown → | 2016 | 858 |
| 13 | 2016 | 5 | |
| 14 | 2015 | 304 | |
| 15 | Contacts-based prediction of binding affinity in protein–protein complexesbreakdown → | 2015 | 404 |
| 16 | 2014 | 10 | |
| 17 | 2014 | 33 | |
| 18 | 2013 | 8 | |
| 19 | 2013 | 21 | |
| 20 | 2012 | 29 |
About Anna Vangone
Anna Vangone is a scholar working on Computational Theory and Mathematics, Molecular Biology, Materials Chemistry, Gastroenterology and Radiology, Nuclear Medicine and Imaging, having authored 30 papers that have together received 2.6k indexed citations. Recurring topics across this work include Protein Structure and Dynamics (22 papers), Computational Drug Discovery Methods (13 papers), Enzyme Structure and Function (11 papers), RNA and protein synthesis mechanisms (6 papers), Bioinformatics and Genomic Networks (4 papers), Monoclonal and Polyclonal Antibodies Research (4 papers), Machine Learning in Bioinformatics (2 papers) and Machine Learning in Materials Science (2 papers). The work is most often cited by research in Computational Theory and Mathematics (526 citations), Molecular Biology (1.9k citations), Infectious Diseases (434 citations), Radiology, Nuclear Medicine and Imaging (353 citations) and Immunology (279 citations). Anna Vangone has collaborated with scholars based in Netherlands, Italy and Saudi Arabia. Frequent co-authors include Alexandre M. J. J. Bonvin, Li C. Xue, Panagiotis L. Kastritis, João Rodrigues, Romina Oliva, Luigi Cavallo, Cunliang Geng, Vittorio Scarano, Raffaele Spinelli and Panagiotis I. Koukos. Their work appears in journals such as Proteins Structure Function and Bioinformatics, Bioinformatics, BMC Bioinformatics, Journal of Structural Biology and Structure.
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.