Balázs Sarkadi
- Oncology top 0.1%
- Molecular Biology top 0.5%
- Pediatrics, Perinatology and Child Health top 0.2%
- Surgery top 1%
- Infectious Diseases top 0.5%
- Co-authors
- András VáradiLászló HomolyaGergely SzakácsCsilla Özvegy‐LaczkaG. GárdosÉva BakosZsolt HollóUrsula A. Germann
- Topics
- Drug Transport and Resistance Mechanisms (116 papers)Erythrocyte Function and Pathophysiology (32 papers)Pharmacological Effects and Toxicity Studies (29 papers)
- Partner nations
- HungaryUnited StatesCzechia
In The Last Decade
Balázs Sarkadi
226 papers receiving 14.0k citations
Hit Papers
Peers
Comparison fields: 5 of 150
- Oncology 7.9k
- Molecular Biology 6.6k
- Pediatrics, Perinatology and Child Health 2.6k
- Surgery 2.0k
- Infectious Diseases 1.6k
Countries citing papers authored by Balázs Sarkadi
This map shows the geographic impact of Balázs Sarkadi'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 Sarkadi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Balázs Sarkadi more than expected).
Fields of papers citing papers by Balázs Sarkadi
This network shows the impact of papers produced by Balázs Sarkadi. 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 Sarkadi. The network helps show where Balázs Sarkadi may publish in the future.
Co-authorship network of co-authors of Balázs Sarkadi
This figure shows the co-authorship network connecting the top 25 collaborators of Balázs Sarkadi. A scholar is included among the top collaborators of Balázs Sarkadi 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 Sarkadi. Balázs Sarkadi is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 4 | |
| 3 | 5 | |
| 4 | 16 | |
| 5 | 42 | |
| 6 | 21 | |
| 7 | 22 | |
| 8 | 65 | |
| 9 | 46 | |
| 10 | 8 | |
| 11 | Distinct interaction profiles of the second generation Bcr-Abl inhibitors nilotinib and bosutinib with the ABCG2 multidrug transporter | 1 |
| 12 | 5 | |
| 13 | The Q141K single-nucleotide polymorphism impacts the transporter activity of ABCG2. | 4 |
| 14 | 80 | |
| 15 | 177 | |
| 16 | 173 | |
| 17 | 269 | |
| 18 | 37 | |
| 19 | Mechanisms for passive calcium transport in human red cells. | 2 |
| 20 | Biconcave shape and its transformations in human red cells. | 4 |
About Balázs Sarkadi
Balázs Sarkadi is a scholar working on Oncology, Physiology and Pediatrics, Perinatology and Child Health, having authored 231 papers that have together received 14.3k indexed citations. Recurring topics across this work include Drug Transport and Resistance Mechanisms (116 papers), Erythrocyte Function and Pathophysiology (32 papers) and Pharmacological Effects and Toxicity Studies (29 papers). The work is most often cited by research in Oncology (7.9k citations), Pediatrics, Perinatology and Child Health (2.6k citations) and Molecular Biology (6.6k citations). Balázs Sarkadi has collaborated with scholars based in Hungary, United States and Czechia. Frequent co-authors include András Váradi, László Homolya, Gergely Szakács, Csilla Özvegy‐Laczka, G. Gárdos, Éva Bakos, Zsolt Holló, Ursula A. Germann, Tamás Hegedűs and Ágnes Enyedi. Their work appears in journals such as Nucleic Acids Research, Journal of Biological Chemistry and Nature Genetics.
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.