András Szilágyi
- Molecular Biology top 5%
- Materials Chemistry top 10%
- Cell Biology top 5%
- Obstetrics and Gynecology top 2%
- Public Health, Environmental and Occupational Health top 10%
- Co-authors
- Péter ZávodszkyYang ZhangJeffrey SkolnickFerenc HudeczPéter FriedrichAttila E. FarkasPéter TompaÁgnes Tantos
- Topics
- Protein Structure and Dynamics (16 papers)Pregnancy and preeclampsia studies (15 papers)Enzyme Structure and Function (12 papers)
- Journals
- Proceedings of the National Academy of SciencesNucleic Acids ResearchJournal of Biological Chemistry
- Partner nations
- HungaryUnited StatesGermany
In The Last Decade
András Szilágyi
81 papers receiving 2.3k citations
Hit Papers
Peers
Comparison fields: 5 of 141
- Molecular Biology 1.6k
- Materials Chemistry 493
- Cell Biology 291
- Obstetrics and Gynecology 265
- Public Health, Environmental and Occupational Health 192
Countries citing papers authored by András Szilágyi
This map shows the geographic impact of András Szilágyi'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 András Szilágyi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites András Szilágyi more than expected).
Fields of papers citing papers by András Szilágyi
This network shows the impact of papers produced by András Szilágyi. 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 András Szilágyi. The network helps show where András Szilágyi may publish in the future.
Co-authorship network of co-authors of András Szilágyi
This figure shows the co-authorship network connecting the top 25 collaborators of András Szilágyi. A scholar is included among the top collaborators of András Szilágyi based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with András Szilágyi. András Szilágyi is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 4 | |
| 2 | 27 | |
| 3 | 37 | |
| 4 | 15 | |
| 5 | 5 | |
| 6 | 8 | |
| 7 | 123 | |
| 8 | 14 | |
| 9 | 45 | |
| 10 | 12 | |
| 11 | 24 | |
| 12 | 15 | |
| 13 | 10 | |
| 14 | 30 | |
| 15 | 8 | |
| 16 | 268 | |
| 17 | 73 | |
| 18 | 6 | |
| 19 | 2 | |
| 20 | 6 |
About András Szilágyi
András Szilágyi is a scholar working on Obstetrics and Gynecology, Reproductive Medicine and Pediatrics, Perinatology and Child Health, having authored 85 papers that have together received 2.4k indexed citations. Recurring topics across this work include Protein Structure and Dynamics (16 papers), Pregnancy and preeclampsia studies (15 papers) and Enzyme Structure and Function (12 papers). The work is most often cited by research in Obstetrics and Gynecology (265 citations), Molecular Biology (1.6k citations) and Cell Biology (291 citations). András Szilágyi has collaborated with scholars based in Hungary, United States and Germany. Frequent co-authors include Péter Závodszky, Yang Zhang, Jeffrey Skolnick, Ferenc Hudecz, Péter Friedrich, Attila E. Farkas, Péter Tompa, Ágnes Tantos, Zoltán Bánóczi and Nir Ben‐Tal. Their work appears in journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and Journal of Biological Chemistry.
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.