Eva Wieckowski

2.5k total citations
26 papers, 2.0k citations indexed

About

Eva Wieckowski is a scholar working on Immunology, Molecular Biology and Oncology. According to data from OpenAlex, Eva Wieckowski has authored 26 papers receiving a total of 2.0k indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Immunology, 14 papers in Molecular Biology and 7 papers in Oncology. Recurrent topics in Eva Wieckowski's work include Immunotherapy and Immune Responses (10 papers), Cell death mechanisms and regulation (7 papers) and Immune Cell Function and Interaction (6 papers). Eva Wieckowski is often cited by papers focused on Immunotherapy and Immune Responses (10 papers), Cell death mechanisms and regulation (7 papers) and Immune Cell Function and Interaction (6 papers). Eva Wieckowski collaborates with scholars based in United States, Germany and Austria. Eva Wieckowski's co-authors include Theresa L. Whiteside, Carmen Visús, Marta Szajnik, Mirosław J. Szczepański, Walter J. Storkus, Simon C. Watkins, Torsten E. Reichert, Douglas D. Taylor, Bruce A. McClane and Brian Gastman and has published in prestigious journals such as Journal of Biological Chemistry, The Journal of Experimental Medicine and The Journal of Immunology.

In The Last Decade

Eva Wieckowski

26 papers receiving 1.9k citations

Peers

Eva Wieckowski
Myoungjoo V. Kim United States
David Chisanga Australia
Jeff D. Colbert United States
Ben Quah Australia
H. Navabi United Kingdom
Timo Burster Germany
Mona Motwani United States
Myoungjoo V. Kim United States
Eva Wieckowski
Citations per year, relative to Eva Wieckowski Eva Wieckowski (= 1×) peers Myoungjoo V. Kim

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-authorship network of co-authors of Eva Wieckowski

This figure shows the co-authorship network connecting the top 25 collaborators of Eva Wieckowski. A scholar is included among the top collaborators of Eva Wieckowski 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 Eva Wieckowski. Eva Wieckowski 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
1.
Obermajer, Nataša, Julie Urban, Eva Wieckowski, et al.. (2018). Promoting the accumulation of tumor-specific T cells in tumor tissues by dendritic cell vaccines and chemokine-modulating agents. Nature Protocols. 13(2). 335–357. 32 indexed citations
2.
Zeh, Herbert J., Howard Edington, James F. Pingpank, et al.. (2016). Prolonged intralymphatic delivery of dendritic cells through implantable lymphatic ports in patients with advanced cancer. Journal for ImmunoTherapy of Cancer. 4(1). 24–24. 20 indexed citations
3.
Hansen, Morten, Eva Wieckowski, Inge Marie Svane, Robert P. Edwards, & Paweł Kaliński. (2015). Selective costimulation by IL-15R/IL-15, but not IL-2R/IL-2, allows the induction of high numbers of tumor-specific CD8+ T cells by human dendritic cells matured in conditions of acute inflammation. Journal for ImmunoTherapy of Cancer. 3(S2). 1 indexed citations
4.
Zeh, Herbert J., Stephanie Downs‐Canner, J. Andrea McCart, et al.. (2014). First-in-man Study of Western Reserve Strain Oncolytic Vaccinia Virus: Safety, Systemic Spread, and Antitumor Activity. Molecular Therapy. 23(1). 202–214. 120 indexed citations
5.
Bauernhofer, Thomas, Martin Pichler, Eva Wieckowski, et al.. (2011). Prolactin receptor is a negative prognostic factor in patients with squamous cell carcinoma of the head and neck. British Journal of Cancer. 104(10). 1641–1648. 14 indexed citations
6.
Rahma, Osama E., Malgorzata Czystowska, Marta Szajnik, et al.. (2011). A gynecologic oncology group phase II trial of two p53 peptide vaccine approaches: subcutaneous injection and intravenous pulsed dendritic cells in high recurrence risk ovarian cancer patients. Cancer Immunology Immunotherapy. 61(3). 373–384. 79 indexed citations
7.
8.
Rahma, Osama E., Malgorzata Czystowska, Marta Szajnik, et al.. (2010). Abstract 2414: Comparable effect of p53 peptide vaccine in adjuvant or pulsed on dendritic cells in ovarian cancer patients: A gynecologic oncology group study. Cancer Research. 70(8_Supplement). 2414–2414. 1 indexed citations
9.
Kaliński, Paweł, Eva Wieckowski, Ravikumar Muthuswamy, & Esther de Jong. (2009). Generation of Stable Th1/CTL-, Th2-, and Th17-Inducing Human Dendritic Cells. Methods in molecular biology. 595. 117–133. 20 indexed citations
10.
Wieckowski, Eva, Carmen Visús, Marta Szajnik, et al.. (2009). Tumor-Derived Microvesicles Promote Regulatory T Cell Expansion and Induce Apoptosis in Tumor-Reactive Activated CD8+ T Lymphocytes. The Journal of Immunology. 183(6). 3720–3730. 460 indexed citations
11.
Bergmann, Christoph, Laura Strauss, Eva Wieckowski, et al.. (2008). Tumor‐derived microvesicles in sera of patients with head and neck cancer and their role in tumor progression. Head & Neck. 31(3). 371–380. 78 indexed citations
12.
Wieckowski, Eva & Theresa L. Whiteside. (2006). Human Tumor-Derived vs Dendritic Cell-Derived Exosomes Have Distinct Biologic Roles and Molecular Profiles. Immunologic Research. 36(1-3). 247–254. 103 indexed citations
13.
Wieckowski, Eva, Yoshinari Atarashi, Joanna Stanson, Takaaki Sato, & Theresa L. Whiteside. (2006). FAP‐1‐mediated activation of NF‐κB induces resistance of head and neck cancer to fas‐induced apoptosis. Journal of Cellular Biochemistry. 100(1). 16–28. 28 indexed citations
14.
Wieckowski, Eva, et al.. (2002). Granzyme B-mediated degradation of T-cell receptor zeta chain.. PubMed. 62(17). 4884–9. 39 indexed citations
16.
Wang, Gui-Qiang, Brian Gastman, Eva Wieckowski, et al.. (2001). A Role for Mitochondrial Bak in Apoptotic Response to Anticancer Drugs. Journal of Biological Chemistry. 276(36). 34307–34317. 110 indexed citations
17.
Wang, Gui-Qiang, Brian Gastman, Eva Wieckowski, et al.. (2001). Apoptosis-resistant Mitochondria in T Cells Selected for Resistance to Fas Signaling. Journal of Biological Chemistry. 276(5). 3610–3619. 29 indexed citations
18.
Kokai‐Kun, John F., Kimberly A. Benton, Eva Wieckowski, & Bruce A. McClane. (1999). Identification of a Clostridium perfringens Enterotoxin Region Required for Large Complex Formation and Cytotoxicity by Random Mutagenesis. Infection and Immunity. 67(11). 5634–5641. 52 indexed citations
19.
Wieckowski, Eva, Andrew P. Wnek, & Bruce A. McClane. (1994). Evidence that an approximately 50-kDa mammalian plasma membrane protein with receptor-like properties mediates the amphiphilicity of specifically bound Clostridium perfringens enterotoxin.. Journal of Biological Chemistry. 269(14). 10838–10848. 56 indexed citations
20.
Hanna, Philip C., Eva Wieckowski, Timothy A. Mietzner, & Bruce A. McClane. (1992). Mapping of functional regions of Clostridium perfringens type A enterotoxin. Infection and Immunity. 60(5). 2110–2114. 51 indexed citations

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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