Gabriele Pecher

2.1k total citations
45 papers, 1.2k citations indexed

About

Gabriele Pecher is a scholar working on Immunology, Oncology and Molecular Biology. According to data from OpenAlex, Gabriele Pecher has authored 45 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 30 papers in Immunology, 15 papers in Oncology and 14 papers in Molecular Biology. Recurrent topics in Gabriele Pecher's work include Immunotherapy and Immune Responses (21 papers), Immune Cell Function and Interaction (17 papers) and CAR-T cell therapy research (9 papers). Gabriele Pecher is often cited by papers focused on Immunotherapy and Immune Responses (21 papers), Immune Cell Function and Interaction (17 papers) and CAR-T cell therapy research (9 papers). Gabriele Pecher collaborates with scholars based in Germany, United States and Sweden. Gabriele Pecher's co-authors include Olivera J. Finn, J D Fontenot, Richard S. Metzgar, Martin Raftery, Thomas Schirrmann, Keith R. Jerome, Eckhard Thiel, J. Magarian Blander, Nieves Doménech and Simon M. Barratt‐Boyes and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Clinical Oncology and Biochemical and Biophysical Research Communications.

In The Last Decade

Gabriele Pecher

43 papers receiving 1.2k citations

Peers

Gabriele Pecher

IMMUN

ONCOL

RNMI

GENET

Pablo Oppezzo Uruguay

Rosalind Graham United Kingdom

Mehmet Kemal Tur Germany

Rami Yossef Israel

Naotake Tsuda Japan

J A Titus United States

Toshio Kudo Japan

Yashwant M. Deo United States

Robin Pennington United States

Randall N. Knibbs United States

Pablo Oppezzo Uruguay

Gabriele Pecher

637 ×0.8

IMMUN

700 ×1.2

145 ×0.3

ONCOL

235 ×0.7

RNMI

91 ×0.8

GENET

Citations per year, relative to Gabriele Pecher Gabriele Pecher (= 1×) peers Pablo Oppezzo

Countries citing papers authored by Gabriele Pecher

Since Specialization

Citations

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

Fields of papers citing papers by Gabriele Pecher

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Gabriele Pecher

This figure shows the co-authorship network connecting the top 25 collaborators of Gabriele Pecher. A scholar is included among the top collaborators of Gabriele Pecher 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 Gabriele Pecher. Gabriele Pecher is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

Raftery, Martin, et al.. (2025). Chimeric Antigen Receptor (CAR)-NK92 cells effective against glioblastoma, breast- and pancreatic cancer in vitro and in a murine xenograft model of ovarian cancer. Cancer Cell International. 25(1). 260–260.

Pecher, Gabriele, et al.. (2024). Next generation CD44v6-specific CAR-NK cells for the treatment of solid tumors.. Journal of Clinical Oncology. 42(16_suppl). e14518–e14518. 1 indexed citations

Stintzing, Sebastian, et al.. (2024). Next-Generation CEA-CAR-NK-92 Cells against Solid Tumors: Overcoming Tumor Microenvironment Challenges in Colorectal Cancer. Cancers. 16(2). 388–388. 14 indexed citations

Raftery, Martin, et al.. (2023). Next Generation CD44v6-Specific CAR-NK Cells Effective against Triple Negative Breast Cancer. International Journal of Molecular Sciences. 24(10). 9038–9038. 26 indexed citations

Pecher, Gabriele, et al.. (2011). Yeast-derived beta-(1-3),(1-6)-D-glucan induces up-regulation of CD86 on dectin-1-positive human B-lymphoma cell lines.. Anticancer Research. 31(12). 4195–9. 7 indexed citations

Eckert, Klaus, et al.. (2011). Beta-(1-3),(1-6)-D-glucan enhances the effect of low-dose cyclophosphamide treatment on A20 lymphoma in mice.. PubMed. 31(4). 1169–72. 5 indexed citations

Eckert, Klaus, et al.. (2009). Oral administration of a soluble 1–3, 1–6 β-glucan during prophylactic survivin peptide vaccination diminishes growth of a B cell lymphoma in mice. International Immunopharmacology. 9(11). 1298–1303. 18 indexed citations

Dorn, David C., Robert Lawatscheck, Aurelija Žvirblienė, et al.. (2008). Cellular and Humoral Immunogenicity of Hamster Polyomavirus-Derived Virus-Like Particles Harboring a Mucin 1 Cytotoxic T-Cell Epitope. Viral Immunology. 21(1). 12–26. 15 indexed citations

Kokowski, Konrad, et al.. (2008). Quantification of the CD8+ T cell response against a mucin epitope in patients with breast cancer. Archivum Immunologiae et Therapiae Experimentalis. 56(2). 141–145. 5 indexed citations

10.

Gedvilaitė, Alma, David C. Dorn, Kęstutis Sasnauskas, et al.. (2006). Virus-like particles derived from major capsid protein VP1 of different polyomaviruses differ in their ability to induce maturation in human dendritic cells. Virology. 354(2). 252–260. 24 indexed citations

11.

Schirrmann, Thomas & Gabriele Pecher. (2004). Specific targeting of CD33+ leukemia cells by a natural killer cell line modified with a chimeric receptor. Leukemia Research. 29(3). 301–306. 46 indexed citations

12.

Pecher, Gabriele. (2002). DNA-Based Tumor Vaccines. Oncology Research and Treatment. 25(6). 528–532. 3 indexed citations

13.

Johnen, Heiko & Gabriele Pecher. (2002). Tumor growth inhibition elicited by different vaccines and correlation with antigen specific cytotoxic T-cell frequencies determined by intracellular interferon-γ staining. Cancer Letters. 185(1). 53–59.

14.

Pecher, Gabriele, et al.. (2002). Mucin gene (MUC1) transfected dendritic cells as vaccine: results of a phase I/II clinical trial. Cancer Immunology Immunotherapy. 51(11-12). 669–673. 132 indexed citations

15.

Schirrmann, Thomas & Gabriele Pecher. (2002). Human natural killer cell line modified with a chimeric immunoglobulin T-cell receptor gene leads to tumor growth inhibition in vivo. Cancer Gene Therapy. 9(4). 390–398. 34 indexed citations

16.

Johnen, Heiko, Hagen Kulbe, & Gabriele Pecher. (2001). Long-term tumor growth suppression in mice immunized with naked DNA of the human tumor antigen mucin (MUC1). Cancer Immunology Immunotherapy. 50(7). 356–360. 29 indexed citations

17.

Pecher, Gabriele, et al.. (2001). Generation of an Immortalized Human CD4+ T Cell Clone Inhibiting Tumor Growth in Mice. Biochemical and Biophysical Research Communications. 283(4). 738–742. 5 indexed citations

18.

Schirrmann, Thomas & Gabriele Pecher. (2001). Tumor-specific targeting of a cell line with natural killer cell activity by asialoglycoprotein receptor gene transfer. Cancer Immunology Immunotherapy. 50(10). 549–556. 8 indexed citations

19.

Pecher, Gabriele, et al.. (1998). Reduktion der Strahlenexposition in der interventionellen Angiographie für Patient und Untersucher. RöFo - Fortschritte auf dem Gebiet der Röntgenstrahlen und der bildgebenden Verfahren. 169(11). 505–509. 5 indexed citations

20.

Finn, Olivera J., Keith R. Jerome, Robert Henderson, et al.. (1995). MUC‐1 Epithelial Tumor Mucin‐Based Immunity and Cancer Vaccines. Immunological Reviews. 145(1). 61–89. 205 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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