Janet K. Peper-Gabriel

633 total citations
16 papers, 271 citations indexed

About

Janet K. Peper-Gabriel is a scholar working on Oncology, Immunology and Molecular Biology. According to data from OpenAlex, Janet K. Peper-Gabriel has authored 16 papers receiving a total of 271 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Oncology, 10 papers in Immunology and 6 papers in Molecular Biology. Recurrent topics in Janet K. Peper-Gabriel's work include Immunotherapy and Immune Responses (7 papers), CAR-T cell therapy research (6 papers) and Monoclonal and Polyclonal Antibodies Research (4 papers). Janet K. Peper-Gabriel is often cited by papers focused on Immunotherapy and Immune Responses (7 papers), CAR-T cell therapy research (6 papers) and Monoclonal and Polyclonal Antibodies Research (4 papers). Janet K. Peper-Gabriel collaborates with scholars based in Germany, Slovakia and France. Janet K. Peper-Gabriel's co-authors include Stefan Stevanović, Hans‐Georg Rammensee, Heiko Schuster, Barbara D. Schmid-Horch, Markus Löffler, Falko Fend, Annette Staebler, H. Bösmüller, Philipp Wagner and Karen F. Greif and has published in prestigious journals such as The Journal of Experimental Medicine, Blood and Cancer Research.

In The Last Decade

Janet K. Peper-Gabriel

16 papers receiving 269 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Janet K. Peper-Gabriel Germany 9 181 160 75 26 26 16 271
Juliet Escalon United States 7 253 1.4× 162 1.0× 138 1.8× 12 0.5× 30 1.2× 21 337
Yui Harada Japan 11 135 0.7× 136 0.8× 92 1.2× 24 0.9× 40 1.5× 26 324
Franziska Brauneck Germany 11 244 1.3× 192 1.2× 72 1.0× 16 0.6× 12 0.5× 21 387
Samuel John United States 7 231 1.3× 159 1.0× 99 1.3× 7 0.3× 9 0.3× 22 379
Justin Le United States 3 305 1.7× 142 0.9× 71 0.9× 25 1.0× 9 0.3× 7 365
Ariane Thielens France 5 373 2.1× 240 1.5× 32 0.4× 15 0.6× 20 0.8× 7 408
Beatrix Kotlán Hungary 11 186 1.0× 111 0.7× 70 0.9× 11 0.4× 79 3.0× 25 272
Boyeong Song South Korea 9 290 1.6× 198 1.2× 79 1.1× 30 1.2× 7 0.3× 13 374
Barath Shreeder United States 6 279 1.5× 276 1.7× 76 1.0× 6 0.2× 36 1.4× 8 381
Marcela Haro United States 10 127 0.7× 75 0.5× 80 1.1× 9 0.3× 13 0.5× 13 228

Countries citing papers authored by Janet K. Peper-Gabriel

Since Specialization
Citations

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

Fields of papers citing papers by Janet K. Peper-Gabriel

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Janet K. Peper-Gabriel. 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 Janet K. Peper-Gabriel. The network helps show where Janet K. Peper-Gabriel may publish in the future.

Co-authorship network of co-authors of Janet K. Peper-Gabriel

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

All Works

16 of 16 papers shown
1.
Pattarini, Lucia, et al.. (2022). Abstract LB220: The anticalin-antibody bispecific PRS-352/S095025 strongly stimulates human CD4+ T cells in a PD-L1-dependent manner. Cancer Research. 82(12_Supplement). LB220–LB220. 1 indexed citations
2.
Morales‐Kastresana, Aizea, et al.. (2022). Anticalin®-based therapeutics: Expanding new frontiers in drug development. International review of cell and molecular biology. 369. 89–106. 2 indexed citations
3.
Wurzenberger, Claudia, Cornelia Wurzenberger, Stefan Grüner, et al.. (2021). Development of PRS-220, a potential best-in-class, inhaled CTGF/CCN2 inhibitor for the treatment of IPF. PA732–PA732. 3 indexed citations
4.
Morales‐Kastresana, Aizea, Janet K. Peper-Gabriel, Lucia Pattarini, et al.. (2021). Abstract LB135: Simultaneous costimulatory T-cell engagement and checkpoint inhibition by PRS-344/S095012, a PD-L1/4-1BB bispecific compound for tumor localized activation of the immune system. Cancer Research. 81(13_Supplement). LB135–LB135. 1 indexed citations
5.
Lübke, Maren, Daniel J. Kowalewski, Cosima Zimmermann, et al.. (2019). Identification of HCMV-derived T cell epitopes in seropositive individuals through viral deletion models. The Journal of Experimental Medicine. 217(3). 15 indexed citations
6.
Audehm, Stefan, Matteo Pecoraro, Eva Bräunlein, et al.. (2019). Key Features Relevant to Select Antigens and TCR From the MHC-Mismatched Repertoire to Treat Cancer. Frontiers in Immunology. 10. 1485–1485. 7 indexed citations
7.
Neidert, Marian C., Daniel J. Kowalewski, Manuela Silginer, et al.. (2018). The natural HLA ligandome of glioblastoma stem-like cells: antigen discovery for T cell-based immunotherapy. Acta Neuropathologica. 135(6). 923–938. 29 indexed citations
8.
Marco, Moreno Di, Janet K. Peper-Gabriel, & Hans‐Georg Rammensee. (2017). Identification of Immunogenic Epitopes by MS/MS. The Cancer Journal. 23(2). 102–107. 15 indexed citations
9.
Günther, Patrick, et al.. (2016). Human CD8 + T Cells Target Multiple Epitopes in Respiratory Syncytial Virus Polymerase. Viral Immunology. 29(5). 307–314. 4 indexed citations
10.
Bilich, Tatjana, Annika Nelde, Daniel J. Kowalewski, et al.. (2016). Mapping the HLA Ligandome Landscape of Chronic Myeloid Leukemia Identifies Novel CD8+ and CD4+ T Cell-Epitopes for Immunotherapeutic Approaches. Blood. 128(22). 4232–4232. 1 indexed citations
11.
Bösmüller, H., Philipp Wagner, Janet K. Peper-Gabriel, et al.. (2016). Combined Immunoscore of CD103 and CD3 Identifies Long-Term Survivors in High-Grade Serous Ovarian Cancer. International Journal of Gynecological Cancer. 26(4). 671–679. 72 indexed citations
12.
Nelde, Annika, Juliane S. Walz, Daniel J. Kowalewski, et al.. (2016). HLA class I-restricted MYD88 L265P-derived peptides as specific targets for lymphoma immunotherapy. OncoImmunology. 6(3). e1219825–e1219825. 27 indexed citations
13.
Günther, Patrick, Janet K. Peper-Gabriel, Simone Kayser, et al.. (2015). Identification of a Novel Immunodominant HLA-B*07. Journal of Immunotherapy. 38(7). 267–275. 10 indexed citations
14.
Peper-Gabriel, Janet K. & Stefan Stevanović. (2015). A combined approach of human leukocyte antigen ligandomics and immunogenicity analysis to improve peptide-based cancer immunotherapy. Cancer Immunology Immunotherapy. 64(10). 1295–1303. 8 indexed citations
15.
Peper-Gabriel, Janet K., H. Bösmüller, Heiko Schuster, et al.. (2015). HLA ligandomics identifies histone deacetylase 1 as target for ovarian cancer immunotherapy. OncoImmunology. 5(5). e1065369–e1065369. 14 indexed citations
16.
Peper-Gabriel, Janet K., Heiko Schuster, Markus Löffler, et al.. (2014). An impedance-based cytotoxicity assay for real-time and label-free assessment of T-cell-mediated killing of adherent cells. Journal of Immunological Methods. 405. 192–198. 62 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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2026