Balázs Szöőr
- Molecular Biology
- Epidemiology top 5%
- Public Health, Environmental and Occupational Health top 5%
- Immunology
- Cell Biology top 10%
- Co-authors
- Keith R. MatthewsLydia TaberneroPaula MacGregorIrene RubertoHelen Szoor-McElhinneyLuke AlpheyRichard BurchmoreNicholas J. Savill
- Topics
- Trypanosoma species research and implications (16 papers)Research on Leishmaniasis Studies (14 papers)Protein Tyrosine Phosphatases (7 papers)
- Journals
- Proceedings of the National Academy of SciencesGenes & DevelopmentThe Journal of Cell Biology
- Partner nations
- United KingdomHungaryGermany
In The Last Decade
Balázs Szöőr
36 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 81
- Molecular Biology 625
- Epidemiology 567
- Public Health, Environmental and Occupational Health 473
- Immunology 145
- Cell Biology 123
Countries citing papers authored by Balázs Szöőr
This map shows the geographic impact of Balázs Szöőr'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 Balázs Szöőr with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Balázs Szöőr more than expected).
Fields of papers citing papers by Balázs Szöőr
This network shows the impact of papers produced by Balázs Szöőr. 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 Balázs Szöőr. The network helps show where Balázs Szöőr may publish in the future.
Co-authorship network of co-authors of Balázs Szöőr
This figure shows the co-authorship network connecting the top 25 collaborators of Balázs Szöőr. A scholar is included among the top collaborators of Balázs Szöőr 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 Balázs Szöőr. Balázs Szöőr is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 7 | |
| 2 | 21 | |
| 3 | 1 | |
| 4 | 13 | |
| 5 | 41 | |
| 6 | 25 | |
| 7 | 59 | |
| 8 | 38 | |
| 9 | 82 | |
| 10 | 63 | |
| 11 | 47 | |
| 12 | 31 | |
| 13 | 79 | |
| 14 | 84 | |
| 15 | 55 | |
| 16 | 4 | |
| 17 | 39 | |
| 18 | 8 | |
| 19 | 65 | |
| 20 | 2 |
About Balázs Szöőr
Balázs Szöőr is a scholar working on Public Health, Environmental and Occupational Health, Epidemiology and Insect Science, having authored 36 papers that have together received 1.1k indexed citations. Recurring topics across this work include Trypanosoma species research and implications (16 papers), Research on Leishmaniasis Studies (14 papers) and Protein Tyrosine Phosphatases (7 papers). The work is most often cited by research in Parasitology (110 citations), Epidemiology (567 citations) and Public Health, Environmental and Occupational Health (473 citations). Balázs Szöőr has collaborated with scholars based in United Kingdom, Hungary and Germany. Frequent co-authors include Keith R. Matthews, Lydia Tabernero, Paula MacGregor, Irene Ruberto, Helen Szoor-McElhinney, Luke Alphey, Richard Burchmore, Nicholas J. Savill, Daimark Bennett and Anthony P. Fordham‐Skelton. Their work appears in journals such as Proceedings of the National Academy of Sciences, Genes & Development and The Journal of Cell Biology.
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.