Tamas Sessler
Impact in
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- Cancer-related Molecular Pathways
- Drug Transport and Resistance Mechanisms
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- interferon and immune responses
Papers in
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- Cell death mechanisms and regulation 8
- Ubiquitin and proteasome pathways 2
- DNA Repair Mechanisms 1
- Gene expression and cancer classification 1
- Oncology 6
- Cancer-related Molecular Pathways 4
- Co-authors
- Afshin Samali (2 shared papers)Éva Szegezdi (2 shared papers)Sandra Healy (1 shared paper)Daniel B. Longley (8 shared papers)Simon S. McDade (7 shared papers)Anna McCormick (1 shared paper)Christopher J. Scott (2 shared papers)Éva Bakos (1 shared paper)
- Journals
- FEBS Journal (2 papers)Cell Death and Disease (2 papers)Biochemical and Biophysical Research Communications (1 paper)Scientific Reports (1 paper)Cancers (1 paper)
- Partner nations
- United KingdomIrelandUnited States
In The Last Decade
Tamas Sessler
14 papers receiving 417 citations
Peers
Comparison fields: 5 of 68
- Oncology 124
- Immunology 97
- Cancer Research 58
- Molecular Biology 275
- Cell Biology 42
Countries citing papers authored by Tamas Sessler
This map shows the geographic impact of Tamas Sessler'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 Tamas Sessler with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tamas Sessler more than expected).
Fields of papers citing papers by Tamas Sessler
This network shows the impact of papers produced by Tamas Sessler. 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 Tamas Sessler. The network helps show where Tamas Sessler may publish in the future.
Co-authors
The 25 scholars most cited alongside Tamas Sessler, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2013 | 95 | |
| 2 | 2003 | 78 | |
| 3 | 2013 | 61 | |
| 4 | 2020 | 41 | |
| 5 | 2020 | 29 | |
| 6 | 2021 | 25 | |
| 7 | 2021 | 23 | |
| 8 | 2020 | 20 | |
| 9 | 2020 | 19 | |
| 10 | 2008 | 16 | |
| 11 | 2023 | 4 | |
| 12 | 2022 | 4 | |
| 13 | 2021 | 4 | |
| 14 | 2024 | 3 |
About Tamas Sessler
Tamas Sessler is a scholar working on Molecular Biology, Oncology, Immunology, Epidemiology and Cell Biology, having authored 14 papers that have together received 422 indexed citations. Recurring topics across this work include Cell death mechanisms and regulation (8 papers), Cancer-related Molecular Pathways (4 papers), Phagocytosis and Immune Regulation (3 papers), Ubiquitin and proteasome pathways (2 papers), Cancer Research and Treatments (2 papers), Radiomics and Machine Learning in Medical Imaging (1 paper), DNA Repair Mechanisms (1 paper) and Gene expression and cancer classification (1 paper). The work is most often cited by research in Oncology (124 citations), Immunology (97 citations), Cancer Research (58 citations), Molecular Biology (275 citations) and Cell Biology (42 citations). Tamas Sessler has collaborated with scholars based in United Kingdom, Ireland and United States. Frequent co-authors include Afshin Samali, Éva Szegezdi, Sandra Healy, Daniel B. Longley, Simon S. McDade, Anna McCormick, Christopher J. Scott, Éva Bakos, Sharon L. Milgram and László Homolya. Their work appears in journals such as FEBS Journal, Cell Death and Disease, Biochemical and Biophysical Research Communications, Scientific Reports and Cancers.
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.