Gábor Boross
Impact in
- Cancer Research top 5%
- Breast Cancer Treatment Studies
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- Breast Lesions and Carcinomas
Papers in
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- Breast Cancer Treatment Studies 14
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- Breast Lesions and Carcinomas 13
- Co-authors
- Gábor Cserni (15 shared papers)Balázs Papp (7 shared papers)Csaba Pál (5 shared papers)Mihály Svébis (9 shared papers)Róbert Maráz (11 shared papers)Viktória Lázár (4 shared papers)Zoltán Farkas (3 shared papers)Gergely Fekete (2 shared papers)
- Journals
- Pathology & Oncology Research (4 papers)Molecular Biology and Evolution (3 papers)World Journal of Surgery (2 papers)PLoS Biology (2 papers)eLife (2 papers)
- Partner nations
- HungaryUnited StatesFinland
In The Last Decade
Gábor Boross
33 papers receiving 672 citations
Peers
Comparison fields: 5 of 87
- Cancer Research 315
- Pathology and Forensic Medicine 245
- Molecular Medicine 59
- Genetics 170
- Oncology 115
Countries citing papers authored by Gábor Boross
This map shows the geographic impact of Gábor Boross'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 Gábor Boross with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Gábor Boross more than expected).
Fields of papers citing papers by Gábor Boross
This network shows the impact of papers produced by Gábor Boross. 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 Gábor Boross. The network helps show where Gábor Boross may publish in the future.
Co-authors
The 25 scholars most cited alongside Gábor Boross, 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 | 2014 | 117 | |
| 2 | 2004 | 77 | |
| 3 | 2019 | 67 | |
| 4 | 2019 | 52 | |
| 5 | 2002 | 51 | |
| 6 | 2009 | 50 | |
| 7 | 2019 | 36 | |
| 8 | 2009 | 28 | |
| 9 | 2018 | 27 | |
| 10 | 2014 | 22 | |
| 11 | 2011 | 22 | |
| 12 | 2000 | 20 | |
| 13 | 2014 | 14 | |
| 14 | 2012 | 14 | |
| 15 | 2012 | 13 | |
| 16 | 2013 | 12 | |
| 17 | 2008 | 12 | |
| 18 | 2010 | 7 | |
| 19 | 2009 | 5 | |
| 20 | 2013 | 4 |
About Gábor Boross
Gábor Boross is a scholar working on Cancer Research, Pathology and Forensic Medicine, Surgery, Molecular Biology and Genetics, having authored 34 papers that have together received 685 indexed citations. Recurring topics across this work include Breast Cancer Treatment Studies (14 papers), Breast Lesions and Carcinomas (13 papers), Evolution and Genetic Dynamics (6 papers), Breast Implant and Reconstruction (6 papers), Cancer and Skin Lesions (3 papers), Cutaneous Melanoma Detection and Management (2 papers), Genomics and Phylogenetic Studies (2 papers) and Fungal and yeast genetics research (2 papers). The work is most often cited by research in Cancer Research (315 citations), Pathology and Forensic Medicine (245 citations), Molecular Medicine (59 citations), Genetics (170 citations) and Oncology (115 citations). Gábor Boross has collaborated with scholars based in Hungary, United States and Finland. Frequent co-authors include Gábor Cserni, Balázs Papp, Csaba Pál, Mihály Svébis, Róbert Maráz, Viktória Lázár, Zoltán Farkas, Gergely Fekete, Béla Szamecz and Edit Rutkai. Their work appears in journals such as Pathology & Oncology Research, Molecular Biology and Evolution, World Journal of Surgery, PLoS Biology and eLife.
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.