Farkas Sükösd
Impact in
- Cancer Research top 10%
- Cancer Genomics and Diagnostics
-
- Renal cell carcinoma treatment
Papers in
-
- Renal and related cancers 9
- Single-cell and spatial transcriptomics 5
- Surgery 15
- Bladder and Urothelial Cancer Treatments 7
- Urinary and Genital Oncology Studies 4
- Co-authors
- Gyula Kovács (6 shared papers)Mónica Wilhelm (2 shared papers)Lajos Haracska (6 shared papers)Amrit Pal Kaur (1 shared paper)Naoto Kuroda (1 shared paper)Börje Ljungberg (1 shared paper)Attila Fazekas (3 shared papers)Péter Horváth (5 shared papers)
In The Last Decade
Farkas Sükösd
41 papers receiving 581 citations
Peers
Comparison fields: 5 of 79
- Cancer Research 169
- Pulmonary and Respiratory Medicine 168
- Molecular Biology 348
- Biophysics 25
- Nephrology 30
Countries citing papers authored by Farkas Sükösd
This map shows the geographic impact of Farkas Sükösd'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 Farkas Sükösd with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Farkas Sükösd more than expected).
Fields of papers citing papers by Farkas Sükösd
This network shows the impact of papers produced by Farkas Sükösd. 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 Farkas Sükösd. The network helps show where Farkas Sükösd may publish in the future.
Co-authors
The 25 scholars most cited alongside Farkas Sükösd, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 45 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2002 | 62 | |
| 2 | 2018 | 60 | |
| 3 | Deletion of chromosome 3p14.2-p25 involving the VHL and FHIT genes in conventional renal cell carcinoma. | 2003 | 57 |
| 4 | 2002 | 46 | |
| 5 | Characterization and therapeutic application of canine adipose mesenchymal stem cells to treat elbow osteoarthritis. | 2017 | 44 |
| 6 | 2000 | 40 | |
| 7 | 1999 | 38 | |
| 8 | 2001 | 28 | |
| 9 | 2016 | 23 | |
| 10 | 2011 | 20 | |
| 11 | 2001 | 17 | |
| 12 | 2013 | 15 | |
| 13 | 2020 | 15 | |
| 14 | 2018 | 13 | |
| 15 | 2017 | 12 | |
| 16 | 2023 | 11 | |
| 17 | 2022 | 11 | |
| 18 | 2024 | 10 | |
| 19 | 2011 | 6 | |
| 20 | 2022 | 6 |
About Farkas Sükösd
Farkas Sükösd is a scholar working on Molecular Biology, Surgery, Pulmonary and Respiratory Medicine, Cancer Research and Oncology, having authored 45 papers that have together received 588 indexed citations. Recurring topics across this work include Renal cell carcinoma treatment (10 papers), Renal and related cancers (9 papers), Cancer Genomics and Diagnostics (7 papers), Bladder and Urothelial Cancer Treatments (7 papers), Single-cell and spatial transcriptomics (5 papers), Urinary and Genital Oncology Studies (4 papers), Cell Image Analysis Techniques (3 papers) and Image Processing Techniques and Applications (3 papers). The work is most often cited by research in Cancer Research (169 citations), Pulmonary and Respiratory Medicine (168 citations), Molecular Biology (348 citations), Biophysics (25 citations) and Nephrology (30 citations). Farkas Sükösd has collaborated with scholars based in Hungary, Germany and Finland. Frequent co-authors include Gyula Kovács, Mónica Wilhelm, Lajos Haracska, Amrit Pal Kaur, Naoto Kuroda, Börje Ljungberg, Attila Fazekas, Péter Horváth, Edward C. Jones and Tamás Magyarlaki. Their work appears in journals such as Pathology & Oncology Research, Animals, Scientific Reports, Journal of Biotechnology and Cancers.
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.