Kinga Tóth
Impact in
- Cancer Research top 5%
- Cancer Genomics and Diagnostics
- Cancer-related molecular mechanisms research
-
- Genetic factors in colorectal cancer
Papers in
- Oncology 11
- Colorectal Cancer Screening and Detection 7
- Cancer Cells and Metastasis 3
-
- Genetic factors in colorectal cancer 10
- Co-authors
- Béla Molnár (30 shared papers)Zsolt Tulassay (28 shared papers)Alexandra Kalmár (17 shared papers)Barnabás Wichmann (18 shared papers)Ferenc Sípos (19 shared papers)Gábor Valcz (18 shared papers)Orsolya Galamb (18 shared papers)Árpád V. Patai (14 shared papers)
- Journals
- Pathology & Oncology Research (7 papers)PLoS ONE (6 papers)Expert Review of Molecular Diagnostics (3 papers)Journal of Clinical Pathology (2 papers)BMC Cancer (2 papers)
- Partner nations
- HungaryGermanyUnited States
In The Last Decade
Kinga Tóth
33 papers receiving 1.3k citations
Peers
Comparison fields: 5 of 88
- Cancer Research 408
- Pathology and Forensic Medicine 298
- Oncology 411
- Molecular Biology 619
- Behavioral Neuroscience 20
Countries citing papers authored by Kinga Tóth
This map shows the geographic impact of Kinga Tóth'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 Kinga Tóth with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kinga Tóth more than expected).
Fields of papers citing papers by Kinga Tóth
This network shows the impact of papers produced by Kinga Tóth. 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 Kinga Tóth. The network helps show where Kinga Tóth may publish in the future.
Co-authors
The 25 scholars most cited alongside Kinga Tóth, 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 34 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2012 | 160 | |
| 2 | 2013 | 110 | |
| 3 | 2017 | 95 | |
| 4 | 2014 | 90 | |
| 5 | 2011 | 69 | |
| 6 | 2010 | 68 | |
| 7 | 2011 | 66 | |
| 8 | 2008 | 64 | |
| 9 | 2016 | 61 | |
| 10 | 2015 | 53 | |
| 11 | 2014 | 47 | |
| 12 | 2015 | 45 | |
| 13 | 2012 | 43 | |
| 14 | 2015 | 41 | |
| 15 | 2019 | 31 | |
| 16 | 2012 | 31 | |
| 17 | 2012 | 27 | |
| 18 | 2015 | 25 | |
| 19 | 2016 | 23 | |
| 20 | 2010 | 23 |
About Kinga Tóth
Kinga Tóth is a scholar working on Oncology, Pathology and Forensic Medicine, Molecular Biology, Genetics and Cancer Research, having authored 34 papers that have together received 1.3k indexed citations. Recurring topics across this work include Genetic factors in colorectal cancer (10 papers), Colorectal Cancer Screening and Detection (7 papers), Cancer Genomics and Diagnostics (6 papers), Epigenetics and DNA Methylation (5 papers), Digestive system and related health (4 papers), Cancer Cells and Metastasis (3 papers), Molecular Biology Techniques and Applications (2 papers) and Gene expression and cancer classification (1 paper). The work is most often cited by research in Cancer Research (408 citations), Pathology and Forensic Medicine (298 citations), Oncology (411 citations), Molecular Biology (619 citations) and Behavioral Neuroscience (20 citations). Kinga Tóth has collaborated with scholars based in Hungary, Germany and United States. Frequent co-authors include Béla Molnár, Zsolt Tulassay, Alexandra Kalmár, Barnabás Wichmann, Ferenc Sípos, Gábor Valcz, Orsolya Galamb, Árpád V. Patai, Barbara Kinga Barták and Katalin Leiszter. Their work appears in journals such as Pathology & Oncology Research, PLoS ONE, Expert Review of Molecular Diagnostics, Journal of Clinical Pathology and BMC Cancer.
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.