Sándor Vajda
Impact in
- Computational Theory and Mathematics top 0.05%
- Computational Drug Discovery Methods
- Molecular Biology top 0.2%
- Protein Structure and Dynamics
- vaccines and immunoinformatics approaches
- RNA and protein synthesis mechanisms
- Chemical Synthesis and Analysis
- Glycosylation and Glycoproteins Research
Papers in
-
- Computational Drug Discovery Methods 75
-
- Protein Structure and Dynamics 111
- RNA and protein synthesis mechanisms 21
- Glycosylation and Glycoproteins Research 17
- Chemical Synthesis and Analysis 11
- Protein purification and stability 10
- Co-authors
- Dima KozakovDmitri BeglovCarlos J. CamachoStephen R. ComeauDavid R. HallKathryn A. PorterDavid GatchellChristine Yueh
- Journals
- Proteins Structure Function and Bioinformatics (28 papers)Proceedings of the National Academy of Sciences (11 papers)Biochemistry (9 papers)Journal of Molecular Biology (9 papers)Protein Science (8 papers)
- Partner nations
- United StatesHungaryUnited Kingdom
In The Last Decade
Sándor Vajda
235 papers receiving 16.3k citations
Hit Papers
Peers
Comparison fields: 5 of 191
- Computational Theory and Mathematics 3.5k
- Molecular Biology 12.0k
- Radiology, Nuclear Medicine and Imaging 1.8k
- Immunology 1.3k
- Materials Chemistry 2.8k
Countries citing papers authored by Sándor Vajda
This map shows the geographic impact of Sándor Vajda'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 Sándor Vajda with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sándor Vajda more than expected).
Fields of papers citing papers by Sándor Vajda
This network shows the impact of papers produced by Sándor Vajda. 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 Sándor Vajda. The network helps show where Sándor Vajda may publish in the future.
Co-authors
The 25 scholars most cited alongside Sándor Vajda, 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 | 2025 | 0 | |
| 2 | 2024 | 5 | |
| 3 | 2023 | 14 | |
| 4 | 2022 | 14 | |
| 5 | 2022 | 26 | |
| 6 | 2019 | 16 | |
| 7 | 2018 | 93 | |
| 8 | 2018 | 114 | |
| 9 | 2016 | 44 | |
| 10 | 2015 | 56 | |
| 11 | 2014 | 54 | |
| 12 | 2013 | 3 | |
| 13 | 2009 | 164 | |
| 14 | 2008 | 90 | |
| 15 | 2005 | 111 | |
| 16 | 2004 | 262 | |
| 17 | 1994 | 125 | |
| 18 | 1967 | 7 | |
| 19 | 1959 | 14 | |
| 20 | 1954 | 2 |
About Sándor Vajda
Sándor Vajda is a scholar working on Computational Theory and Mathematics, Molecular Biology, Materials Chemistry, Horticulture and Statistics, Probability and Uncertainty, having authored 239 papers that have together received 16.6k indexed citations. Recurring topics across this work include Protein Structure and Dynamics (111 papers), Computational Drug Discovery Methods (75 papers), Enzyme Structure and Function (66 papers), RNA and protein synthesis mechanisms (21 papers), Monoclonal and Polyclonal Antibodies Research (21 papers), Glycosylation and Glycoproteins Research (17 papers), Chemical Synthesis and Analysis (11 papers) and Protein purification and stability (10 papers). The work is most often cited by research in Computational Theory and Mathematics (3.5k citations), Molecular Biology (12.0k citations), Radiology, Nuclear Medicine and Imaging (1.8k citations), Immunology (1.3k citations) and Materials Chemistry (2.8k citations). Sándor Vajda has collaborated with scholars based in United States, Hungary and United Kingdom. Frequent co-authors include Dima Kozakov, Dmitri Beglov, Carlos J. Camacho, Stephen R. Comeau, David R. Hall, Kathryn A. Porter, David Gatchell, Christine Yueh, Ryan Brenke and Dzmitry Padhorny. Their work appears in journals such as Proteins Structure Function and Bioinformatics, Proceedings of the National Academy of Sciences, Biochemistry, Journal of Molecular Biology 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.