Péter Závodszky
- Molecular Biology top 5%
- Immunology top 1%
- Materials Chemistry top 5%
- Hematology top 1%
- Genetics top 2%
- Co-authors
- András SzilágyiPéter GálJózsef DobóJózsef KardosGregory A. PetskoLászló BeinrohrVeronika HarmatVerne N. Schumaker
- Topics
- Complement system in diseases (42 papers)Enzyme Structure and Function (32 papers)Protein Structure and Dynamics (30 papers)
- Cited by
- ImmunologyHematologyGenetics
- Journals
- Proceedings of the National Academy of SciencesPhysical Review LettersJournal of Biological Chemistry
- Partner nations
- HungaryUnited StatesGermany
In The Last Decade
Péter Závodszky
180 papers receiving 5.3k citations
Hit Papers
Peers
Comparison fields: 5 of 139
- Molecular Biology 2.4k
- Immunology 1.7k
- Materials Chemistry 1.0k
- Hematology 843
- Genetics 572
Countries citing papers authored by Péter Závodszky
This map shows the geographic impact of Péter Závodszky'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 Péter Závodszky with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Péter Závodszky more than expected).
Fields of papers citing papers by Péter Závodszky
This network shows the impact of papers produced by Péter Závodszky. 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 Péter Závodszky. The network helps show where Péter Závodszky may publish in the future.
Co-authorship network of co-authors of Péter Závodszky
This figure shows the co-authorship network connecting the top 25 collaborators of Péter Závodszky. A scholar is included among the top collaborators of Péter Závodszky 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 Péter Závodszky. Péter Závodszky 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 | 2 | |
| 3 | 37 | |
| 4 | 16 | |
| 5 | 14 | |
| 6 | 57 | |
| 7 | 10 | |
| 8 | 10 | |
| 9 | 94 | |
| 10 | 14 | |
| 11 | 2 | |
| 12 | 100 | |
| 13 | 106 | |
| 14 | 24 | |
| 15 | 170 | |
| 16 | 33 | |
| 17 | 33 | |
| 18 | 6 | |
| 19 | The structure and function of the first component of complement: genetic engineering approach (a review). | 3 |
| 20 | The role of inter heavy chain di sulfide bond in the complement c 1q binding affinity of rabbit anti ov albumin immuno globulin g immune complex | 1 |
About Péter Závodszky
Péter Závodszky is a scholar working on Hematology, Immunology and Genetics, having authored 183 papers that have together received 5.4k indexed citations. Recurring topics across this work include Complement system in diseases (42 papers), Enzyme Structure and Function (32 papers) and Protein Structure and Dynamics (30 papers). The work is most often cited by research in Immunology (1.7k citations), Hematology (843 citations) and Genetics (572 citations). Péter Závodszky has collaborated with scholars based in Hungary, United States and Germany. Frequent co-authors include András Szilágyi, Péter Gál, József Dobó, József Kardos, Gregory A. Petsko, László Beinrohr, Veronika Harmat, Verne N. Schumaker, Gábor Pál and Katalin Szilágyi. Their work appears in journals such as Proceedings of the National Academy of Sciences, Physical Review Letters 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.