Katalin Német
- Oncology top 5%
- Molecular Biology
- Genetics top 5%
- Pediatrics, Perinatology and Child Health top 10%
- Surgery
- Co-authors
- Balázs SarkadiAndrás VáradiCsilla Özvegy‐LaczkaGyörgy VáradyOlga UjhellyGÿorgý KériJohn D. SchuetzLászló Őrfi
- Topics
- Drug Transport and Resistance Mechanisms (12 papers)Mesenchymal stem cell research (6 papers)RNA Interference and Gene Delivery (5 papers)
- Cited by
- OncologyGeneticsHematology
- Journals
- Journal of Biological ChemistryCancer ResearchBiochemical and Biophysical Research Communications
- Partner nations
- HungaryUnited StatesAustria
In The Last Decade
Katalin Német
26 papers receiving 1.4k citations
Peers
Comparison fields: 5 of 98
- Oncology 839
- Molecular Biology 649
- Genetics 187
- Pediatrics, Perinatology and Child Health 177
- Surgery 171
Countries citing papers authored by Katalin Német
This map shows the geographic impact of Katalin Német'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 Katalin Német with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Katalin Német more than expected).
Fields of papers citing papers by Katalin Német
This network shows the impact of papers produced by Katalin Német. 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 Katalin Német. The network helps show where Katalin Német may publish in the future.
Co-authorship network of co-authors of Katalin Német
This figure shows the co-authorship network connecting the top 25 collaborators of Katalin Német. A scholar is included among the top collaborators of Katalin Német 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 Katalin Német. Katalin Német is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 20 | |
| 3 | 46 | |
| 4 | 33 | |
| 5 | 8 | |
| 6 | 44 | |
| 7 | 13 | |
| 8 | 59 | |
| 9 | 14 | |
| 10 | 26 | |
| 11 | 19 | |
| 12 | 8 | |
| 13 | Distinct interaction profiles of the second generation Bcr-Abl inhibitors nilotinib and bosutinib with the ABCG2 multidrug transporter | 1 |
| 14 | 71 | |
| 15 | 278 | |
| 16 | 83 | |
| 17 | 224 | |
| 18 | 32 | |
| 19 | 1 | |
| 20 | 104 |
About Katalin Német
Katalin Német is a scholar working on Genetics, Oncology and Hematology, having authored 26 papers that have together received 1.4k indexed citations. Recurring topics across this work include Drug Transport and Resistance Mechanisms (12 papers), Mesenchymal stem cell research (6 papers) and RNA Interference and Gene Delivery (5 papers). The work is most often cited by research in Oncology (839 citations), Genetics (187 citations) and Hematology (118 citations). Katalin Német has collaborated with scholars based in Hungary, United States and Austria. Frequent co-authors include Balázs Sarkadi, András Váradi, Csilla Özvegy‐Laczka, György Várady, Olga Ujhelly, Gÿorgý Kéri, John D. Schuetz, László Őrfi, László Homolya and Ágota Apáti. Their work appears in journals such as Journal of Biological Chemistry, Cancer Research and Biochemical and Biophysical Research Communications.
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.