Farkas Sükösd

866 total citations
45 papers, 588 citations indexed

About

Farkas Sükösd is a scholar working on Molecular Biology, Surgery and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Farkas Sükösd has authored 45 papers receiving a total of 588 indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Molecular Biology, 15 papers in Surgery and 14 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Farkas Sükösd's work include Renal cell carcinoma treatment (10 papers), Renal and related cancers (9 papers) and Cancer Genomics and Diagnostics (7 papers). Farkas Sükösd is often cited by papers focused on Renal cell carcinoma treatment (10 papers), Renal and related cancers (9 papers) and Cancer Genomics and Diagnostics (7 papers). Farkas Sükösd collaborates with scholars based in Hungary, Germany and Finland. Farkas Sükösd's co-authors include Gyula Kovács, Mónica Wilhelm, Lajos Haracska, Amrit Pal Kaur, Naoto Kuroda, Börje Ljungberg, Attila Fazekas, Edward C. Jones, Péter Horváth and Tamás Magyarlaki and has published in prestigious journals such as Nature Communications, Journal of Clinical Oncology and Scientific Reports.

In The Last Decade

Farkas Sükösd

41 papers receiving 581 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Farkas Sükösd Hungary	14	348	169	168	88	82	45	588
Luca Ventura Italy	16	378 1.1×	132 0.8×	142 0.8×	102 1.2×	239 2.9×	59	735
Alissa Minkovsky United States	6	258 0.7×	114 0.7×	112 0.7×	61 0.7×	123 1.5×	7	542
Dali Huang United States	13	283 0.8×	119 0.7×	268 1.6×	83 0.9×	185 2.3×	18	777
Cosetta Ravelli Italy	16	522 1.5×	110 0.7×	48 0.3×	87 1.0×	107 1.3×	44	822
Eun Hee Lee South Korea	17	291 0.8×	139 0.8×	97 0.6×	77 0.9×	165 2.0×	46	676
Xi Zhan China	11	468 1.3×	80 0.5×	160 1.0×	47 0.5×	82 1.0×	28	841
Joanna Budna Poland	15	304 0.9×	168 1.0×	111 0.7×	56 0.6×	170 2.1×	60	737
Nuran Bektas Germany	13	642 1.8×	132 0.8×	103 0.6×	114 1.3×	269 3.3×	15	1.0k
Shufang Renault France	11	253 0.7×	322 1.9×	112 0.7×	55 0.6×	210 2.6×	17	683
Víctor González‐Rumayor Spain	10	277 0.8×	203 1.2×	93 0.6×	22 0.3×	87 1.1×	16	478

Countries citing papers authored by Farkas Sükösd

Since Specialization

Citations

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

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Farkas Sükösd

This figure shows the co-authorship network connecting the top 25 collaborators of Farkas Sükösd. A scholar is included among the top collaborators of Farkas Sükösd 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 Farkas Sükösd. Farkas Sükösd is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

Pankotai, Tibor, et al.. (2024). LINE-1 ORF1p is a Promising Biomarker in Cervical Intraepithelial Neoplasia Degree Assessment. International Journal of Gynecological Pathology. 44(1). 22–30. 1 indexed citations

Tóth, Arnold, et al.. (2024). First Results on the Presence of Mycotoxins in the Liver of Pregnant Fallow Deer (Dama dama) Hinds and Fetuses. Animals. 14(7). 1039–1039. 2 indexed citations

Radics, Bence, Zsolt Bella, Ágnes Zsófia Kovács, et al.. (2024). Novel biomarkers of mitochondrial dysfunction in Long COVID patients. GeroScience. 47(2). 2245–2261. 10 indexed citations

Sükösd, Farkas, et al.. (2024). Novel method for detecting frequent TERT promoter hot spot mutations in bladder cancer samples. Clinical and Experimental Medicine. 24(1). 192–192.

Újfaludi, Zsuzsanna, et al.. (2024). Complex treatment of residual metastatic germ cell cancer: A single center experience. Journal of Biotechnology. 389. 61–67. 1 indexed citations

Révész, János, et al.. (2023). Correlation between fibroblast growth factor receptor mutation, programmed death ligand-1 expression and survival in urinary bladder cancer based on real-world data. Pathology & Oncology Research. 29. 1611077–1611077. 2 indexed citations

Migh, Ede, Andrea Nagy, András Kriston, et al.. (2022). A versatile transposon-based technology to generate loss- and gain-of-function phenotypes in the mouse liver. BMC Biology. 20(1). 74–74. 1 indexed citations

Újfaludi, Zsuzsanna, et al.. (2022). The clinical significance of epigenetic and RNAPII variabilities occurring in clear cell renal cell carcinoma as a potential prognostic marker. Translational Oncology. 20. 101420–101420. 2 indexed citations

Pintér, Lajos, et al.. (2021). BC-Monitor: Towards a Routinely Accessible Circulating Tumor DNA-Based Tool for Real-Time Monitoring Breast Cancer Progression and Treatment Effectiveness. Cancers. 13(14). 3489–3489. 3 indexed citations

10.

Tóth, Tímea, Tamás Balassa, Ferenc Kovács, et al.. (2018). Environmental properties of cells improve machine learning-based phenotype recognition accuracy. Scientific Reports. 8(1). 10085–10085. 13 indexed citations

11.

Tóth, Csaba, Farkas Sükösd, Esther Herpel, et al.. (2017). Expression of ERCC1, RRM1, TUBB3 in correlation with apoptosis repressor ARC, DNA mismatch repair proteins and p53 in liver metastasis of colorectal cancer. International Journal of Molecular Medicine. 40(5). 1457–1465. 12 indexed citations

12.

Sükösd, Farkas, Béla Iványi, & László Pajor. (2014). Accurate Determination of the Pathological Stage with Gross Dissection Protocol for Radical Cystectomy. Pathology & Oncology Research. 20(3). 677–685. 2 indexed citations

13.

Sejben, István, et al.. (2013). Papillary renal cell carcinoma embedded in an oncocytoma: Case report of a rare combined tumour of the kidney. Canadian Urological Association Journal. 7(7-8). 513–513. 15 indexed citations

14.

Németh, I, András Rosztóczy, F Izbéki, et al.. (2011). A renewed insight into Barrett's esophagus: comparative histopathological analysis of esophageal columnar metaplasia. Diseases of the Esophagus. 25(5). 395–402. 6 indexed citations

15.

Sükösd, Farkas, et al.. (2003). Deletion of chromosome 3p14.2-p25 involving the VHL and FHIT genes in conventional renal cell carcinoma.. PubMed. 63(2). 455–7. 57 indexed citations

16.

Wilhelm, Mónica, et al.. (2002). Somatic mitochondrial DNA mutations in human chromophobe renal cell carcinomas. Genes Chromosomes and Cancer. 35(3). 256–260. 46 indexed citations

17.

Sükösd, Farkas, et al.. (2001). Mapping a tumor suppressor gene to chromosome 2p13 in metanephric adenoma by microsatellite allelotyping. Human Pathology. 32(1). 101–104. 28 indexed citations

18.

Sükösd, Farkas, et al.. (2000). [Parvovirus B19 infection in hydrops fetalis].. PubMed. 141(30). 1661–5. 5 indexed citations

19.

Sükösd, Farkas, et al.. (2000). High Density Deletion Mapping of Bladder Cancer Localizes the Putative Tumor Suppressor Gene Between Loci D8S504 and D8S264 at Chromosome 8p23.3. Laboratory Investigation. 80(7). 1089–1093. 40 indexed citations

20.

Magyarlaki, Tamás, et al.. (1999). Renal Cell Carcinoma and Paraneoplastic IgA Nephropathy. The Nephron journals/Nephron journals. 82(2). 127–130. 38 indexed citations

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.

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