Eva Wieckowski

2.5k citations
26 papers · 2.0k · h-index 21

Impact in

    • MicroRNA in disease regulation
  • Immunology top 5%
    • Immunotherapy and Immune Responses
    • Immune Cell Function and Interaction

Papers in

    • Immunotherapy and Immune Responses 9
    • Immune Cell Function and Interaction 4
    • Toxin Mechanisms and Immunotoxins 3
    • Cell death mechanisms and regulation 7
    • Extracellular vesicles in disease 4
    • Gut microbiota and health 2

Eva Wieckowski

26 papers receiving 1.9k citations

Peers

Eva Wieckowski
Comparison fields: 5 of 86
  • Cancer Research 626
  • Immunology 658
  • Molecular Biology 1.4k
  • Neurology 109
  • Oncology 342
Replace Myoungjoo V. Kim with:
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Citations per field
00.5×2.7×
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Citations per year

Countries citing papers authored by Eva Wieckowski

Since Specialization
Citations

This map shows the geographic impact of Eva Wieckowski'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 Eva Wieckowski with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Eva Wieckowski more than expected).

Fields of papers citing papers by Eva Wieckowski

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Eva Wieckowski. 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 Eva Wieckowski. The network helps show where Eva Wieckowski may publish in the future.

Co-authors

The 25 scholars most cited alongside Eva Wieckowski, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Eva Wieckowski Line = papers co-authored together Eva Wieckowski links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 26 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2009461
2 2005411
3 2014123
4 2001110
5 2006102
6 201179
7 200878
8 200160
9
Inhibitor of apoptosis protein hILP undergoes caspase-mediated cleavage during T lymphocyte apoptosis.
200058
10 199456
11 199952
12 199251
13 200149
14
Granzyme B-mediated degradation of T-cell receptor zeta chain.
200238
15
Tumor-induced apoptosis of T cells: amplification by a mitochondrial cascade.
200036
16 201833
17 201032
18 200129
19 200629
20 201621

About Eva Wieckowski

Eva Wieckowski is a scholar working on Immunology, Molecular Biology, Infectious Diseases, Epidemiology and Oncology, having authored 26 papers that have together received 2.0k indexed citations. Recurring topics across this work include Immunotherapy and Immune Responses (9 papers), Cell death mechanisms and regulation (7 papers), Clostridium difficile and Clostridium perfringens research (5 papers), Immune Cell Function and Interaction (4 papers), Extracellular vesicles in disease (4 papers), NF-κB Signaling Pathways (3 papers), Toxin Mechanisms and Immunotoxins (3 papers) and Gut microbiota and health (2 papers). The work is most often cited by research in Cancer Research (626 citations), Immunology (658 citations), Molecular Biology (1.4k citations), Neurology (109 citations) and Oncology (342 citations). Eva Wieckowski has collaborated with scholars based in United States, Germany and Canada. Frequent co-authors include Theresa L. Whiteside, Carmen Visús, Marta Szajnik, Mirosław J. Szczepański, Walter J. Storkus, Simon C. Watkins, Douglas D. Taylor, Torsten E. Reichert, Bruce A. McClane and Hannah Rabinowich. Their work appears in journals such as Infection and Immunity, Journal of Biological Chemistry, Journal for ImmunoTherapy of Cancer, The Prostate and Clinical Cancer Research.

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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