Éva Szegezdi
- Cell Biology top 0.5%
- Endoplasmic Reticulum Stress and Disease 12
- Immunology top 2%
- Phagocytosis and Immune Regulation 7
- Immune Response and Inflammation 7
- Molecular Biology top 2%
- Cell death mechanisms and regulation 36
- RNA Interference and Gene Delivery 17
- Epidemiology top 2%
- Autophagy in Disease and Therapy 8
- Geriatrics and Gerontology top 2%
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- Acute Myeloid Leukemia Research 10
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- NF-κB Signaling Pathways 9
- Co-authors
- Afshin SamaliSusan E. LogueAdrienne M. GormanUna FitzGeraldSanjeev GuptaTimothy O’BrienDevalingam MahalingamMaccon Keane
- Journals
- Proceedings of the National Academy of Sciences (2 papers)Journal of Biological Chemistry (1 paper)Journal of Clinical Oncology (1 paper)
- Partner nations
- IrelandNetherlandsUnited Kingdom
In The Last Decade
Éva Szegezdi
77 papers receiving 5.6k citations
Hit Papers
Peers
Comparison fields: 5 of 122
- Cell Biology 2.0k
- Immunology 986
- Molecular Biology 3.1k
- Epidemiology 1.4k
- Geriatrics and Gerontology 152
Countries citing papers authored by Éva Szegezdi
This map shows the geographic impact of Éva Szegezdi'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 Éva Szegezdi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Éva Szegezdi more than expected).
Fields of papers citing papers by Éva Szegezdi
This network shows the impact of papers produced by Éva Szegezdi. 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 Éva Szegezdi. The network helps show where Éva Szegezdi may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Éva Szegezdi, 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 | 2025 | 1 | |
| 2 | 2023 | 20 | |
| 3 | 2022 | 1 | |
| 4 | 2022 | 22 | |
| 5 | 2022 | 6 | |
| 6 | 2021 | 0 | |
| 7 | 2016 | 41 | |
| 8 | 2014 | 3 | |
| 9 | 2010 | 19 | |
| 10 | 2010 | 37 | |
| 11 | 2009 | 206 | |
| 12 | 2009 | 18 | |
| 13 | 2009 | 223 | |
| 14 | 2008 | 36 | |
| 15 | 2008 | 38 | |
| 16 | Decoy-insensitive TRAIL variants kill tumour cells more efficiently without damaging non-transformed cells | 2007 | 1 |
| 17 | 2007 | 74 | |
| 18 | 2006 | 136 | |
| 19 | 2006 | 27 | |
| 20 | 2003 | 25 |
About Éva Szegezdi
Éva Szegezdi is a scholar working on Immunology, Hematology and Molecular Biology, having authored 80 papers that have together received 5.7k indexed citations. Recurring topics across this work include Cell death mechanisms and regulation (36 papers), RNA Interference and Gene Delivery (17 papers), Endoplasmic Reticulum Stress and Disease (12 papers), Acute Myeloid Leukemia Research (10 papers), NF-κB Signaling Pathways (9 papers), Autophagy in Disease and Therapy (8 papers), Phagocytosis and Immune Regulation (7 papers) and Immune Response and Inflammation (7 papers). The work is most often cited by research in Cell Biology (2.0k citations), Immunology (986 citations) and Molecular Biology (3.1k citations). Éva Szegezdi has collaborated with scholars based in Ireland, Netherlands and United Kingdom. Frequent co-authors include Afshin Samali, Susan E. Logue, Adrienne M. Gorman, Una FitzGerald, Sanjeev Gupta, Timothy O’Brien, Devalingam Mahalingam, Maccon Keane, Tríona Ní Chonghaile and George E.N. Kass. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Journal of Clinical Oncology.
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.