Judit Dobos
Impact in
- Biological Psychiatry top 10%
- Oncology top 10%
- Cancer Immunotherapy and Biomarkers
- Cancer Cells and Metastasis
Papers in
-
- Melanoma and MAPK Pathways 6
- Angiogenesis and VEGF in Cancer 3
- PI3K/AKT/mTOR signaling in cancer 3
- Protein Degradation and Inhibitors 2
- Oncology 15
- HER2/EGFR in Cancer Research 4
- Co-authors
- József Tı́már (20 shared papers)József Tóvári (17 shared papers)István Kenessey (15 shared papers)Balázs Döme (10 shared papers)Andrea Ladányi (7 shared papers)Sándor Paku (4 shared papers)Gyula Ostoros (4 shared papers)Erzsébet Rásó (7 shared papers)
- Journals
- Pathology & Oncology Research (4 papers)Cancer Research (3 papers)Bioorganic & Medicinal Chemistry Letters (2 papers)European Journal of Medicinal Chemistry (2 papers)Oncotarget (2 papers)
- Partner nations
- HungaryAustriaUnited States
In The Last Decade
Judit Dobos
33 papers receiving 1.0k citations
Peers
Comparison fields: 5 of 80
- Biological Psychiatry 36
- Oncology 325
- Cancer Research 122
- Behavioral Neuroscience 28
- Immunology 165
Countries citing papers authored by Judit Dobos
This map shows the geographic impact of Judit Dobos'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 Judit Dobos with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Judit Dobos more than expected).
Fields of papers citing papers by Judit Dobos
This network shows the impact of papers produced by Judit Dobos. 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 Judit Dobos. The network helps show where Judit Dobos may publish in the future.
Co-authors
The 25 scholars most cited alongside Judit Dobos, 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 33 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2006 | 149 | |
| 2 | 2011 | 142 | |
| 3 | 2010 | 111 | |
| 4 | 2008 | 84 | |
| 5 | 2007 | 53 | |
| 6 | 2010 | 49 | |
| 7 | 2004 | 48 | |
| 8 | 2009 | 39 | |
| 9 | 2012 | 35 | |
| 10 | 2015 | 33 | |
| 11 | 2010 | 29 | |
| 12 | 2011 | 25 | |
| 13 | 2011 | 24 | |
| 14 | 2008 | 22 | |
| 15 | 2015 | 21 | |
| 16 | 2005 | 20 | |
| 17 | 2018 | 20 | |
| 18 | 2018 | 20 | |
| 19 | 2021 | 16 | |
| 20 | 2019 | 14 |
About Judit Dobos
Judit Dobos is a scholar working on Molecular Biology, Oncology, Hematology, Organic Chemistry and Cancer Research, having authored 33 papers that have together received 1.0k indexed citations. Recurring topics across this work include Melanoma and MAPK Pathways (6 papers), HER2/EGFR in Cancer Research (4 papers), Angiogenesis and VEGF in Cancer (3 papers), Immunotherapy and Immune Responses (3 papers), PI3K/AKT/mTOR signaling in cancer (3 papers), Cancer, Hypoxia, and Metabolism (3 papers), Protein Degradation and Inhibitors (2 papers) and T-cell and B-cell Immunology (2 papers). The work is most often cited by research in Biological Psychiatry (36 citations), Oncology (325 citations), Cancer Research (122 citations), Behavioral Neuroscience (28 citations) and Immunology (165 citations). Judit Dobos has collaborated with scholars based in Hungary, Austria and United States. Frequent co-authors include József Tı́már, József Tóvári, István Kenessey, Balázs Döme, Andrea Ladányi, Sándor Paku, Gyula Ostoros, Erzsébet Rásó, Krisztina Bogos and Anita Mohos. Their work appears in journals such as Pathology & Oncology Research, Cancer Research, Bioorganic & Medicinal Chemistry Letters, European Journal of Medicinal Chemistry and Oncotarget.
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.