Clemente Borges
Impact in
- Structural Biology top 10%
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- Protein Structure and Dynamics
- RNA and protein synthesis mechanisms
- RNA Research and Splicing
- RNA modifications and cancer
- Glycosylation and Glycoproteins Research
- Biochemical and Molecular Research
Papers in
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- Data Visualization and Analytics 3
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- Protein Structure and Dynamics 2
- Co-authors
- Dmitry Molodenskiy (2 shared papers)Alexey Kikhney (2 shared papers)Cy M. Jeffries (2 shared papers)Dmitri I. Svergun (2 shared papers)Andrey Gruzinov (1 shared paper)Daniel Franke (1 shared paper)Petr V. Konarev (1 shared paper)Alejandro Panjkovich (1 shared paper)
- Journals
- Science of Computer Programming (1 paper)Protein Science (1 paper)Journal of Applied Crystallography (1 paper)Computer Science and Information Systems (1 paper)Tesis Doctorals en Xarxa (Consorci de Serveis Universitaris de Catalunya) (1 paper)
In The Last Decade
Clemente Borges
4 papers receiving 748 citations
Clemente Borges's Hit Papers
Peers
Comparison fields: 5 of 107
- Structural Biology 14
- Molecular Biology 481
- Materials Chemistry 221
- Radiation 30
- Molecular Medicine 17
Countries citing papers authored by Clemente Borges
This map shows the geographic impact of Clemente Borges'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 Clemente Borges with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Clemente Borges more than expected).
Fields of papers citing papers by Clemente Borges
This network shows the impact of papers produced by Clemente Borges. 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 Clemente Borges. The network helps show where Clemente Borges may publish in the future.
Co-authors
The 13 scholars most cited alongside Clemente Borges, 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 | ATSAS 3.0: expanded functionality and new tools for small-angle scattering data analysis Hit paper breakdown → | 2020 | 581 |
| 2 | 2019 | 152 | |
| 3 | 2010 | 16 | |
| 4 | 2014 | 2 | |
| 5 | 2023 | 0 |
About Clemente Borges
Clemente Borges is a scholar working on Computer Vision and Pattern Recognition, Molecular Biology, Management Information Systems, Materials Chemistry and Computer Networks and Communications, having authored 5 papers that have together received 751 indexed citations. Recurring topics across this work include Data Visualization and Analytics (3 papers), Enzyme Structure and Function (2 papers), Protein Structure and Dynamics (2 papers), Big Data and Business Intelligence (2 papers), Semantic Web and Ontologies (1 paper), X-ray Spectroscopy and Fluorescence Analysis (1 paper), Bacterial Genetics and Biotechnology (1 paper) and Advanced Database Systems and Queries (1 paper). The work is most often cited by research in Structural Biology (14 citations), Molecular Biology (481 citations), Materials Chemistry (221 citations), Radiation (30 citations) and Molecular Medicine (17 citations). Clemente Borges has collaborated with scholars based in Spain, Germany and Russia. Frequent co-authors include Dmitry Molodenskiy, Alexey Kikhney, Cy M. Jeffries, Dmitri I. Svergun, Andrey Gruzinov, Daniel Franke, Petr V. Konarev, Alejandro Panjkovich, Haydyn D. T. Mertens and Maxim V. Petoukhov. Their work appears in journals such as Science of Computer Programming, Protein Science, Journal of Applied Crystallography, Computer Science and Information Systems and Tesis Doctorals en Xarxa (Consorci de Serveis Universitaris de Catalunya).
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.