Peter Dráber
Impact in
- Cancer Research top 5%
- NF-κB Signaling Pathways
- Immunology top 5%
- T-cell and B-cell Immunology
- Immune Response and Inflammation
- Immunodeficiency and Autoimmune Disorders
Papers in
-
- NF-κB Signaling Pathways 11
- Immunology 11
- T-cell and B-cell Immunology 4
- Mast cells and histamine 2
- Immune Response and Inflammation 2
- Co-authors
- Henning Walczak (11 shared papers)Sebastian Kupka (6 shared papers)Lucia Taraborrelli (6 shared papers)Silvia Šurinová (4 shared papers)Eva Rieser (5 shared papers)Élodie Lafont (4 shared papers)Diego de Miguel (4 shared papers)Helena Draberova (5 shared papers)
- Journals
- Journal of Biological Chemistry (5 papers)Cell Reports (3 papers)The EMBO Journal (3 papers)JCI Insight (2 papers)Nature Communications (2 papers)
- Partner nations
- CzechiaUnited KingdomGermany
In The Last Decade
Peter Dráber
29 papers receiving 2k citations
Peers
Comparison fields: 5 of 71
- Cancer Research 403
- Immunology 433
- Molecular Biology 1.2k
- Immunology and Allergy 33
- Oncology 126
Countries citing papers authored by Peter Dráber
This map shows the geographic impact of Peter Dráber'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 Peter Dráber with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Peter Dráber more than expected).
Fields of papers citing papers by Peter Dráber
This network shows the impact of papers produced by Peter Dráber. 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 Peter Dráber. The network helps show where Peter Dráber may publish in the future.
Co-authors
The 25 scholars most cited alongside Peter Dráber, 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 31 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2015 | 247 | |
| 2 | 2018 | 235 | |
| 3 | 2014 | 207 | |
| 4 | 2017 | 197 | |
| 5 | 2018 | 171 | |
| 6 | 1993 | 115 | |
| 7 | 2016 | 110 | |
| 8 | 2017 | 99 | |
| 9 | 2018 | 87 | |
| 10 | 2016 | 74 | |
| 11 | 2018 | 69 | |
| 12 | 2014 | 68 | |
| 13 | 2011 | 57 | |
| 14 | 2014 | 36 | |
| 15 | 2016 | 33 | |
| 16 | 2011 | 32 | |
| 17 | 2013 | 25 | |
| 18 | 2020 | 25 | |
| 19 | 2022 | 24 | |
| 20 | 2008 | 23 |
About Peter Dráber
Peter Dráber is a scholar working on Cancer Research, Immunology, Molecular Biology, Oncology and Immunology and Allergy, having authored 31 papers that have together received 2k indexed citations. Recurring topics across this work include NF-κB Signaling Pathways (11 papers), Cell death mechanisms and regulation (7 papers), Cytokine Signaling Pathways and Interactions (5 papers), T-cell and B-cell Immunology (4 papers), Ubiquitin and proteasome pathways (4 papers), Protein Tyrosine Phosphatases (3 papers), Mast cells and histamine (2 papers) and Immune Response and Inflammation (2 papers). The work is most often cited by research in Cancer Research (403 citations), Immunology (433 citations), Molecular Biology (1.2k citations), Immunology and Allergy (33 citations) and Oncology (126 citations). Peter Dráber has collaborated with scholars based in Czechia, United Kingdom and Germany. Frequent co-authors include Henning Walczak, Sebastian Kupka, Lucia Taraborrelli, Silvia Šurinová, Eva Rieser, Élodie Lafont, Diego de Miguel, Helena Draberova, Torsten Hartwig and Ondřej Štěpánek. Their work appears in journals such as Journal of Biological Chemistry, Cell Reports, The EMBO Journal, JCI Insight and Nature Communications.
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.