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 5
- PI3K/AKT/mTOR signaling in cancer 3
- Oncology 15
- HER2/EGFR in Cancer Research 4
- Cancer-related Molecular Pathways 3
- Co-authors
- József Tı́már (20 shared papers)István Kenessey (15 shared papers)József Tóvári (17 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)European Journal of Medicinal Chemistry (2 papers)Journal of Affective Disorders (2 papers)Bioorganic & Medicinal Chemistry Letters (2 papers)
- Partner nations
- HungaryAustriaUnited States
In The Last Decade
Judit Dobos
33 papers receiving 978 citations
Peers
Comparison fields: 5 of 87
- Biological Psychiatry 42
- Oncology 377
- Behavioral Neuroscience 39
- Cancer Research 155
- Immunology 192
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 | 143 | |
| 2 | 2011 | 138 | |
| 3 | 2010 | 106 | |
| 4 | 2008 | 81 | |
| 5 | 2007 | 51 | |
| 6 | 2004 | 47 | |
| 7 | 2010 | 45 | |
| 8 | 2009 | 38 | |
| 9 | 2012 | 34 | |
| 10 | 2015 | 31 | |
| 11 | 2010 | 26 | |
| 12 | 2011 | 25 | |
| 13 | 2011 | 24 | |
| 14 | 2008 | 22 | |
| 15 | 2015 | 20 | |
| 16 | 2005 | 20 | |
| 17 | 2018 | 20 | |
| 18 | 2018 | 19 | |
| 19 | 2019 | 12 | |
| 20 | 2021 | 12 |
About Judit Dobos
Judit Dobos is a scholar working on Molecular Biology, Oncology, Hematology, Cancer Research and Organic Chemistry, having authored 33 papers that have together received 989 indexed citations. Recurring topics across this work include Melanoma and MAPK Pathways (6 papers), Angiogenesis and VEGF in Cancer (5 papers), HER2/EGFR in Cancer Research (4 papers), Cancer, Hypoxia, and Metabolism (4 papers), Apelin-related biomedical research (3 papers), Cancer-related Molecular Pathways (3 papers), Immunotherapy and Immune Responses (3 papers) and PI3K/AKT/mTOR signaling in cancer (3 papers). The work is most often cited by research in Biological Psychiatry (42 citations), Oncology (377 citations), Behavioral Neuroscience (39 citations), Cancer Research (155 citations) and Immunology (192 citations). Judit Dobos has collaborated with scholars based in Hungary, Austria and United States. Frequent co-authors include József Tı́már, István Kenessey, József Tóvári, Balázs Döme, Andrea Ladányi, Sándor Paku, Gyula Ostoros, Erzsébet Rásó, Krisztina Bogos and Gábor L. Kovaćs. Their work appears in journals such as Pathology & Oncology Research, Cancer Research, European Journal of Medicinal Chemistry, Journal of Affective Disorders and Bioorganic & Medicinal Chemistry Letters.
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.