Gyula Kovács

9.1k citations
147 papers · 6.9k indexed · 1 hit paper · h-index 43

Impact in

Papers in

Gyula Kovács

140 papers receiving 6.8k citations

Hit Papers

The Heidelberg classification of renal cell tumours 1997 · 1.0k citations
1.0k19972026200620162505007501000

Peers

Gyula Kovács
Comparison fields: 5 of 115
  • Cancer Research 2.9k
  • Pulmonary and Respiratory Medicine 4.4k
  • Molecular Biology 4.9k
  • Oncology 889
  • Genetics 766
Replace Colin S. Cooper with:
Colin S. Cooper United Kingdom
Hideki Endoh Japan
Ying‐Bei Chen United States
Pasi A. Koivisto Finland
Gennaro Chiappetta Italy
David T. Hung United States
Arnab Chakravarti United States
Montse Sánchez‐Céspedes Spain
Mercedes Robledo Spain
Burkhard Kneitz Germany
Gyula Kovács relative to Colin S. Cooper United Kingdom Colin S. Cooper's profile →
Citations per field
00.5×1.5×
Colin S. Cooper · 1×
Citations per year

Countries citing papers authored by Gyula Kovács

Since Specialization
Citations

This map shows the geographic impact of Gyula Kovács'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 Gyula Kovács with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Gyula Kovács more than expected).

Fields of papers citing papers by Gyula Kovács

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Gyula Kovács. 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 Gyula Kovács. The network helps show where Gyula Kovács may publish in the future.

Co-authors

The 25 scholars most cited alongside Gyula Kovács, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Gyula Kovács Line = papers co-authored together Gyula Kovács links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20242
2 20241
3 20226
4 20215
5 20208
6 201914
7 20166
8 201353
9 201019
10 20086
11 200425
12 200433
13
Deletion of chromosome 3p14.2-p25 involving the VHL and FHIT genes in conventional renal cell carcinoma.
200357
14 200128
15 199818
16 1993190
17 1991246
18 19907
19 1989110
20 198831

About Gyula Kovács

Gyula Kovács is a scholar working on Cancer Research, Pulmonary and Respiratory Medicine, Molecular Biology, Urology and Nephrology, having authored 147 papers that have together received 6.9k indexed citations. Recurring topics across this work include Renal and related cancers (79 papers), Renal cell carcinoma treatment (75 papers), Cancer Genomics and Diagnostics (47 papers), Epigenetics and DNA Methylation (12 papers), Bladder and Urothelial Cancer Treatments (11 papers), Prostate Cancer Treatment and Research (10 papers), Genetic factors in colorectal cancer (7 papers) and Genetic and Kidney Cyst Diseases (6 papers). The work is most often cited by research in Cancer Research (2.9k citations), Pulmonary and Respiratory Medicine (4.4k citations), Molecular Biology (4.9k citations), Oncology (889 citations) and Genetics (766 citations). Gyula Kovács has collaborated with scholars based in Germany, Hungary and United States. Frequent co-authors include Peter Bugert, Werner de Riese, Maria V Yusenko, Börje Ljungberg, Mónica Wilhelm, Sándor Szűcs, Hsiang‐Fu Kung, Stephan Störkel, L. Jeffrey Medeiros and Angela Emanuel. Their work appears in journals such as International Journal of Cancer, Genes Chromosomes and Cancer, Anticancer Research, British Journal of Cancer and Histopathology.

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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