Barbara Schrörs

5.5k total citations · 2 hit papers
23 papers, 1.7k citations indexed

About

Barbara Schrörs is a scholar working on Immunology, Oncology and Molecular Biology. According to data from OpenAlex, Barbara Schrörs has authored 23 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Immunology, 13 papers in Oncology and 12 papers in Molecular Biology. Recurrent topics in Barbara Schrörs's work include Immunotherapy and Immune Responses (15 papers), Cancer Immunotherapy and Biomarkers (11 papers) and vaccines and immunoinformatics approaches (9 papers). Barbara Schrörs is often cited by papers focused on Immunotherapy and Immune Responses (15 papers), Cancer Immunotherapy and Biomarkers (11 papers) and vaccines and immunoinformatics approaches (9 papers). Barbara Schrörs collaborates with scholars based in Germany, United Kingdom and United States. Barbara Schrörs's co-authors include Martin Löwer, Uğur Şahin, Özlem Türeci, Mathias Vormehr, Arbel D. Tadmor, Sebastian Boegel, Franziska Lang, Mustafa Diken, Fulvia Vascotto and Sebastian Kreiter and has published in prestigious journals such as Nature, SHILAP Revista de lepidopterología and Nature Biotechnology.

In The Last Decade

Barbara Schrörs

22 papers receiving 1.7k citations

Hit Papers

Mutant MHC class II epitopes drive therapeutic immune res... 2015 2026 2018 2022 2015 2022 250 500 750

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Barbara Schrörs Germany 12 1.2k 1.0k 783 175 163 23 1.7k
Mathias Vormehr Germany 13 1.2k 1.0× 990 1.0× 850 1.1× 143 0.8× 153 0.9× 23 1.8k
Iñaki Etxeberría Spain 17 1.1k 0.9× 1.1k 1.0× 616 0.8× 106 0.6× 222 1.4× 25 1.9k
Niels van de Roemer Germany 3 1.3k 1.0× 1.0k 1.0× 597 0.8× 167 1.0× 90 0.6× 7 1.5k
Sebastian Boegel Germany 13 1.8k 1.5× 1.5k 1.5× 1.1k 1.3× 282 1.6× 167 1.0× 24 2.5k
Sander Kelderman Netherlands 10 1.2k 1.0× 1.4k 1.4× 526 0.7× 113 0.6× 295 1.8× 12 2.0k
Sara Bobisse Switzerland 19 667 0.5× 1000 1.0× 1.1k 1.4× 211 1.2× 83 0.5× 31 1.8k
Tetsuro Sasada Japan 18 1.2k 1.0× 800 0.8× 434 0.6× 100 0.6× 117 0.7× 49 1.7k
Norma Bloy France 19 841 0.7× 776 0.8× 483 0.6× 87 0.5× 63 0.4× 39 1.5k
Inja Waldhauer Switzerland 10 1.6k 1.3× 852 0.8× 741 0.9× 578 3.3× 111 0.7× 22 2.3k
Kalijn F. Bol Netherlands 21 1.3k 1.1× 1.1k 1.1× 523 0.7× 62 0.4× 118 0.7× 42 1.7k

Countries citing papers authored by Barbara Schrörs

Since Specialization
Citations

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

Fields of papers citing papers by Barbara Schrörs

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Barbara Schrörs

This figure shows the co-authorship network connecting the top 25 collaborators of Barbara Schrörs. A scholar is included among the top collaborators of Barbara Schrörs 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 Barbara Schrörs. Barbara Schrörs 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.
Fuchs, Alexander, Michael Fichter, Pia Winterwerber, et al.. (2026). Biodegradable Carbonate Nanogels Loaded with Anti MFAP‐5 siRNA for Anti‐stromal Therapy of Hepatocellular Carcinoma. Advanced Science. e10006–e10006.
2.
Schneider, Paul M., Michael Fichter, Federica De Lorenzi, et al.. (2024). A hepatocellular carcinoma model with and without parenchymal liver damage that integrates technical and pathophysiological advantages for therapy testing. Pharmacological Research. 211. 107560–107560. 2 indexed citations
3.
Lang, Franziska, Patrick Sorn, M Suchan, et al.. (2024). Prediction of tumor-specific splicing from somatic mutations as a source of neoantigen candidates. Bioinformatics Advances. 4(1). vbae080–vbae080. 2 indexed citations
4.
Weber, David, Martin Löwer, Valesca Bukur, et al.. (2024). Temporal evolution and inter-patient heterogeneity in primary and recurrent head and neck squamous cell carcinoma. SHILAP Revista de lepidopterología. 2(1). 62–62. 1 indexed citations
5.
Lang, Franziska, Barbara Schrörs, Martin Löwer, Özlem Türeci, & Uğur Şahin. (2023). Author Correction: Identification of neoantigens for individualized therapeutic cancer vaccines. Nature Reviews Drug Discovery. 23(2). 156–156. 4 indexed citations
6.
Bukur, Thomas, Pablo Riesgo-Ferreiro, Patrick Sorn, et al.. (2023). CoVigator—A Knowledge Base for Navigating SARS-CoV-2 Genomic Variants. Viruses. 15(6). 1391–1391. 2 indexed citations
7.
Schrörs, Barbara, Martin Löwer, Franziska Lang, et al.. (2023). MC38 colorectal tumor cell lines from two different sources display substantial differences in transcriptome, mutanome and neoantigen expression. Frontiers in Immunology. 14. 1102282–1102282. 9 indexed citations
8.
Lang, Franziska, Patrick Sorn, Barbara Schrörs, et al.. (2023). Multiple instance learning to predict immune checkpoint blockade efficacy using neoantigen candidates. iScience. 26(11). 108014–108014. 1 indexed citations
9.
Salomon, Nadja, Alexander Helm, Abderaouf Selmi, et al.. (2023). Carbon Ion and Photon Radiation Therapy Show Enhanced Antitumoral Therapeutic Efficacy With Neoantigen RNA-LPX Vaccines in Preclinical Colon Carcinoma Models. International Journal of Radiation Oncology*Biology*Physics. 119(3). 936–945. 1 indexed citations
10.
Weber, David, Jonas Ibn-Salem, Patrick Sorn, et al.. (2022). Accurate detection of tumor-specific gene fusions reveals strongly immunogenic personal neo-antigens. Nature Biotechnology. 40(8). 1276–1284. 34 indexed citations
11.
Lang, Franziska, Barbara Schrörs, Martin Löwer, Özlem Türeci, & Uğur Şahin. (2022). Identification of neoantigens for individualized therapeutic cancer vaccines. Nature Reviews Drug Discovery. 21(4). 261–282. 330 indexed citations breakdown →
12.
Weber, David, Martin Löwer, Valesca Bukur, et al.. (2021). Comprehensive Genomic and Transcriptomic Analysis of Three Synchronous Primary Tumours and a Recurrence from a Head and Neck Cancer Patient. International Journal of Molecular Sciences. 22(14). 7583–7583. 3 indexed citations
13.
Lang, Franziska, Pablo Riesgo-Ferreiro, Martin Löwer, Uğur Şahin, & Barbara Schrörs. (2021). NeoFox: annotating neoantigen candidates with neoantigen features. Bioinformatics. 37(22). 4246–4247. 10 indexed citations
14.
Schrörs, Barbara, Pablo Riesgo-Ferreiro, Patrick Sorn, et al.. (2021). Large-scale analysis of SARS-CoV-2 spike-glycoprotein mutants demonstrates the need for continuous screening of virus isolates. PLoS ONE. 16(9). e0249254–e0249254. 26 indexed citations
15.
Schrörs, Barbara, Sebastian Boegel, Christian Albrecht, et al.. (2020). Multi-Omics Characterization of the 4T1 Murine Mammary Gland Tumor Model. Frontiers in Oncology. 10. 1195–1195. 141 indexed citations
16.
Schrörs, Barbara, et al.. (2020). Bioinformatics for Cancer Immunotherapy. Methods in molecular biology. 2120. 1–9. 42 indexed citations
17.
Türeci, Özlem, Martin Löwer, Barbara Schrörs, et al.. (2018). Challenges towards the realization of individualized cancer vaccines. Nature Biomedical Engineering. 2(8). 566–569. 38 indexed citations
18.
Schrörs, Barbara, Volker Lennerz, Martina Fatho, et al.. (2017). HLA class I loss in metachronous metastases prevents continuous T cell recognition of mutated neoantigens in a human melanoma model. Oncotarget. 8(17). 28312–28327. 25 indexed citations
19.
Zhao, Fang, Antje Sucker, Susanne Horn, et al.. (2016). Melanoma Lesions Independently Acquire T-cell Resistance during Metastatic Latency. Cancer Research. 76(15). 4347–4358. 57 indexed citations
20.
Kreiter, Sebastian, Mathias Vormehr, Niels van de Roemer, et al.. (2015). Mutant MHC class II epitopes drive therapeutic immune responses to cancer. Nature. 520(7549). 692–696. 915 indexed citations breakdown →

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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