Franziska Lang

984 total citations · 1 hit paper
16 papers, 553 citations indexed

About

Franziska Lang is a scholar working on Molecular Biology, Immunology and Oncology. According to data from OpenAlex, Franziska Lang has authored 16 papers receiving a total of 553 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Molecular Biology, 8 papers in Immunology and 5 papers in Oncology. Recurrent topics in Franziska Lang's work include Immunotherapy and Immune Responses (7 papers), vaccines and immunoinformatics approaches (6 papers) and Monoclonal and Polyclonal Antibodies Research (5 papers). Franziska Lang is often cited by papers focused on Immunotherapy and Immune Responses (7 papers), vaccines and immunoinformatics approaches (6 papers) and Monoclonal and Polyclonal Antibodies Research (5 papers). Franziska Lang collaborates with scholars based in Germany, Italy and Ecuador. Franziska Lang's co-authors include Barbara Schrörs, Martin Löwer, Uğur Şahin, Özlem Türeci, Marcus Krüger, Stefan Müller, Bert Blaauw, Thomas Braun, Soraya Hölper and Stefan Günther and has published in prestigious journals such as Nature Biotechnology, Bioinformatics and Nature Reviews Drug Discovery.

In The Last Decade

Franziska Lang

14 papers receiving 546 citations

Hit Papers

Identification of neoantigens for individualized therapeu... 2022 2026 2023 2024 2022 100 200 300
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Identification of neoantigens for individualized therapeutic cancer vaccines
    2022 330 citations Franziska Lang, Barbara Schrörs et al. Nature Reviews Drug Discovery profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Franziska Lang Germany 9 365 274 212 62 51 16 553
Jörg Volkland Germany 8 464 1.3× 244 0.9× 335 1.6× 133 2.1× 45 0.9× 9 710
Ashley Leubner United States 7 250 0.7× 207 0.8× 253 1.2× 36 0.6× 42 0.8× 8 552
Oliver Hill Germany 11 235 0.6× 207 0.8× 134 0.6× 39 0.6× 34 0.7× 15 419
María Alejandra Gleisner Chile 15 298 0.8× 310 1.1× 212 1.0× 15 0.2× 64 1.3× 24 620
Martin Siegemund Germany 9 228 0.6× 137 0.5× 98 0.5× 76 1.2× 16 0.3× 14 387
Águeda Martínez‐Barriocanal Spain 13 163 0.4× 210 0.8× 91 0.4× 22 0.4× 31 0.6× 20 437
Alla Dolnikov Australia 16 486 1.3× 152 0.6× 242 1.1× 17 0.3× 34 0.7× 49 757
Shane Foo United Kingdom 7 228 0.6× 241 0.9× 195 0.9× 23 0.4× 15 0.3× 12 508
Giulia Chiaruttini United Kingdom 7 188 0.5× 203 0.7× 166 0.8× 34 0.5× 19 0.4× 10 446
Felipe Gálvez‐Cancino Chile 11 136 0.4× 362 1.3× 286 1.3× 23 0.4× 36 0.7× 19 570

Countries citing papers authored by Franziska Lang

Since Specialization
Citations

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

Fields of papers citing papers by Franziska Lang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Franziska Lang

This figure shows the co-authorship network connecting the top 25 collaborators of Franziska Lang. A scholar is included among the top collaborators of Franziska Lang 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 Franziska Lang. Franziska Lang 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.
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
2.
Bulashevska, Alla, Franziska Lang, Markus Braun, et al.. (2024). Artificial intelligence and neoantigens: paving the path for precision cancer immunotherapy. Frontiers in Immunology. 15. 1394003–1394003. 13 indexed citations
3.
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
4.
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
5.
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
6.
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
7.
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 →
8.
Lang, Franziska, et al.. (2022). CIMT 2021: report on the 18th Annual Meeting of the Association for Cancer Immunotherapy. Human Vaccines & Immunotherapeutics. 18(1). 2024416–2024416.
9.
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
10.
Türk, Clara, Hendrik Nolte, Franziska Lang, et al.. (2021). Phosphoproteomics of the developing heart identifies PERM1 - An outer mitochondrial membrane protein. Journal of Molecular and Cellular Cardiology. 154. 41–59. 10 indexed citations
11.
Tellkamp, Frederik, Franziska Lang, Stefan Günther, et al.. (2020). Proteomics of Galápagos Marine Iguanas Links Function of Femoral Gland Proteins to the Immune System. Molecular & Cellular Proteomics. 19(9). 1523–1532. 4 indexed citations
12.
Lang, Franziska, Clara Türk, Janica L. Wiederstein, et al.. (2018). Single Muscle Fiber Proteomics Reveals Distinct Protein Changes in Slow and Fast Fibers during Muscle Atrophy. Journal of Proteome Research. 17(10). 3333–3347. 37 indexed citations
13.
Lang, Franziska, Hendrik Nolte, Soraya Hölper, et al.. (2017). Dynamic changes in the skeletal muscle proteome during denervation-induced atrophy. Disease Models & Mechanisms. 10(7). 881–896. 66 indexed citations
14.
Bhatia, Sanil, Svenja Daschkey, Franziska Lang, Arndt Borkhardt, & Julia Hauer. (2016). Mouse models for pre-clinical drug testing in leukemia. Expert Opinion on Drug Discovery. 11(11). 1081–1091. 4 indexed citations
15.
Knyphausen, Philipp, et al.. (2016). Insights into K-Ras 4B regulation by post-translational lysine acetylation. Biological Chemistry. 397(10). 1071–1085. 29 indexed citations
16.
Ruhstaller, Thomas, et al.. (2011). Cervical and vaginal cancer in a woman with chronic graft‐versus‐host disease. International Journal of Gynecology & Obstetrics. 114(2). 159–160.

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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