Éva Szegezdi

12.8k citations
80 papers · 5.7k indexed · 1 hit paper · h-index 31
Topics
Cell death mechanisms and regulation (36 papers)RNA Interference and Gene Delivery (17 papers)Endoplasmic Reticulum Stress and Disease (12 papers)

In The Last Decade

Éva Szegezdi

77 papers receiving 5.6k citations

Hit Papers

Mediators of endoplasmic reticulum stress‐induced apoptosis2006202620122019200650010001.5k

Peers

Éva Szegezdi
Comparison fields: 5 of 122
  • Molecular Biology 3.1k
  • Cell Biology 2.0k
  • Epidemiology 1.4k
  • Immunology 986
  • Oncology 600
Replace Hideki Nishitoh with:
Hideki Nishitoh Japan
Min Ni China
Gordon C. Shore Canada
Susan E. Logue Ireland
Maria Hatzoglou United States
Sanjeev Gupta Ireland
Scott A. Oakes United States
Marco Corazzari Italy
Luciano Pirola France
Axel H. Schönthal United States
Éva Szegezdi relative to Hideki Nishitoh Japan Hideki Nishitoh's profile →
Citations per field
00.5×1.5×
Hideki Nishitoh · 1×
Citations per year

Countries citing papers authored by Éva Szegezdi

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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 of co-authors of Éva Szegezdi

This figure shows the co-authorship network connecting the top 25 collaborators of Éva Szegezdi. A scholar is included among the top collaborators of Éva Szegezdi based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Éva Szegezdi. Éva Szegezdi is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 1
2 20
3 1
4 22
5 6
6 0
7 41
8 3
9 19
10 37
11 206
12 18
13 223
14 36
15 38
16
Decoy-insensitive TRAIL variants kill tumour cells more efficiently without damaging non-transformed cells
1
17 74
18 136
19 27
20 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) and Endoplasmic Reticulum Stress and Disease (12 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.

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