Janos Vasko

15 papers receiving 455 citations

Peers

Janos Vasko
Comparison fields: 5 of 49
  • Cancer Research 154
  • Pulmonary and Respiratory Medicine 144
  • Oncology 88
  • Surgery 109
  • Molecular Biology 153
Replace B Dunne with:
B Dunne Ireland
Christiane Rakozy Germany
Hala Faragalla Canada
Sahar Al‐Haddad Canada
Diana Montezuma Portugal
You Jeong Heo South Korea
Enrico Giarnieri Italy
E.C.M. Wisse-Brekelmans Netherlands
Iver Petersen Germany
Marlo Nicolas United States
Janos Vasko relative to B Dunne Ireland B Dunne's profile →
Citations per field
00.5×2.6×
B Dunne · 1×
Citations per year

Countries citing papers authored by Janos Vasko

Since Specialization
Citations

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

Fields of papers citing papers by Janos Vasko

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Janos Vasko, 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 Janos Vasko Line = papers co-authored together Janos Vasko links everyone, so they are left out of the graph.

All Works

16 of 16 papers shown
#Work
1
The expression of hypoxia-inducible factor 1alpha is a favorable independent prognostic factor in renal cell carcinoma.
2005119
2 2005101
3 201852
4 199737
5 199231
6
Grading of transitional cell bladder carcinoma by image analysis of histological sections.
199430
7 201624
8 201122
9 198916
10 201614
11
Differential staining of mitoses in tissue sections and cultured cells by a modified methenamine-silver method.
198813
12
Prognosis in bladder cancer. A study of cytometric, morphometric and immunohistochemical techniques.
19944
13
Toward an objective method of mitotic figure counting and its prognostic significance in bladder cancer.
19952
14 19911
15 20151
16 20120

About Janos Vasko

Janos Vasko is a scholar working on Surgery, Pulmonary and Respiratory Medicine, Oncology, Immunology and Cancer Research, having authored 16 papers that have together received 467 indexed citations. Recurring topics across this work include Bladder and Urothelial Cancer Treatments (10 papers), Renal cell carcinoma treatment (4 papers), Cancer Immunotherapy and Biomarkers (3 papers), Radiomics and Machine Learning in Medical Imaging (2 papers), Immunotherapy and Immune Responses (2 papers), Colorectal Cancer Screening and Detection (2 papers), Cancer, Hypoxia, and Metabolism (2 papers) and Epigenetics and DNA Methylation (1 paper). The work is most often cited by research in Cancer Research (154 citations), Pulmonary and Respiratory Medicine (144 citations), Oncology (88 citations), Surgery (109 citations) and Molecular Biology (153 citations). Janos Vasko has collaborated with scholars based in Sweden, New Zealand and South Korea. Frequent co-authors include Börje Ljungberg, Ylva Hedberg, Torgny Rasmuson, Kjell Grankvist, Kenneth Wester, Per‐Uno Malmström, Christer Busch, C. Busch, Torsten Jarkrans and Ewert Bengtsson. Their work appears in journals such as Apmis, Clinical Cancer Research, Clinical Immunology, Analytical Cellular Pathology and British Journal of Urology.

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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