Julia Weber

1.9k total citations · 1 hit paper
12 papers, 739 citations indexed

About

Julia Weber is a scholar working on Molecular Biology, Oncology and Surgery. According to data from OpenAlex, Julia Weber has authored 12 papers receiving a total of 739 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Molecular Biology, 4 papers in Oncology and 2 papers in Surgery. Recurrent topics in Julia Weber's work include CRISPR and Genetic Engineering (3 papers), Immunotherapy and Immune Responses (2 papers) and Ubiquitin and proteasome pathways (2 papers). Julia Weber is often cited by papers focused on CRISPR and Genetic Engineering (3 papers), Immunotherapy and Immune Responses (2 papers) and Ubiquitin and proteasome pathways (2 papers). Julia Weber collaborates with scholars based in Germany, United Kingdom and Spain. Julia Weber's co-authors include Roland Rad, Thomas Engleitner, Marc E. Martignoni, Melanie Straub, Rüdiger Hein, Michal Bassani‐Sternberg, Jürgen Cox, Christian Peschel, Julia Slotta‐Huspenina and Katja Specht and has published in prestigious journals such as Nucleic Acids Research, Nature Communications and Genes & Development.

In The Last Decade

Julia Weber

12 papers receiving 726 citations

Hit Papers

Direct identification of clinically relevant neoepitopes ... 2016 2026 2019 2022 2016 100 200 300 400

Peers

Julia Weber
Hua‐Bei Guo United States
Jutta Deckert United States
Sefton Bm United States
Eileen M. Woo United States
Christoph Rösli Switzerland
Hua‐Bei Guo United States
Julia Weber
Citations per year, relative to Julia Weber Julia Weber (= 1×) peers Hua‐Bei Guo

Countries citing papers authored by Julia Weber

Since Specialization
Citations

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

Fields of papers citing papers by Julia Weber

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Julia Weber

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

All Works

12 of 12 papers shown
1.
Weber, Julia, et al.. (2023). Transmicron: accurate prediction of insertion probabilities improves detection of cancer driver genes from transposon mutagenesis screens. Nucleic Acids Research. 51(4). e21–e21. 1 indexed citations
2.
Groß, Claudia, Thomas Engleitner, Sebastian Lange, et al.. (2021). Whole Exome Sequencing of Biliary Tubulopapillary Neoplasms Reveals Common Mutations in Chromatin Remodeling Genes. Cancers. 13(11). 2742–2742. 11 indexed citations
3.
Humpton, Timothy J., Koji Nomura, Julia Weber, et al.. (2020). Differential requirements for MDM2 E3 activity during embryogenesis and in adult mice. Genes & Development. 35(1-2). 117–132. 8 indexed citations
4.
Weber, Julia, Christian Braun, Dieter Saur, & Roland Rad. (2020). In vivo functional screening for systems-level integrative cancer genomics. Nature reviews. Cancer. 20(10). 573–593. 36 indexed citations
5.
Weber, Julia & Roland Rad. (2019). Engineering CRISPR mouse models of cancer. Current Opinion in Genetics & Development. 54. 88–96. 24 indexed citations
6.
Frey, Benjamin, Michael Rückert, Julia Weber, et al.. (2017). Hypofractionated Irradiation Has Immune Stimulatory Potential and Induces a Timely Restricted Infiltration of Immune Cells in Colon Cancer Tumors. Frontiers in Immunology. 8. 231–231. 84 indexed citations
7.
Friedrich, Mathias, Lena Rad, Iraad F. Bronner, et al.. (2017). Genome-wide transposon screening and quantitative insertion site sequencing for cancer gene discovery in mice. Nature Protocols. 12(2). 289–309. 26 indexed citations
8.
Rosa, Jorge de la, Julia Weber, Roland Rad, Allan Bradley, & Juan Cadiñanos. (2017). Disentangling PTEN-cooperating tumor suppressor gene networks in cancer. Molecular & Cellular Oncology. 4(4). e1325550–e1325550. 5 indexed citations
9.
Bassani‐Sternberg, Michal, Eva Bräunlein, Richard Klar, et al.. (2016). Direct identification of clinically relevant neoepitopes presented on native human melanoma tissue by mass spectrometry. Nature Communications. 7(1). 13404–13404. 469 indexed citations breakdown →
10.
Suerbaum, Sebastian, Christine Josenhans, Matthias Frosch, et al.. (2001). Determining the whole genome sequence of Helicobacter hepaticus ATCC 51449. Gastroenterology. 120(5). A655–A655. 1 indexed citations
11.
Jöbsis, G. Joost, Julia Weber, P. G. Barth, et al.. (1997). Autosomal dominant cerebellar ataxia with retinal degeneration (ADCA II): clinical and neuropathological findings in two pedigrees and genetic linkage to 3p12-p21.1.. Journal of Neurology Neurosurgery & Psychiatry. 62(4). 367–371. 26 indexed citations
12.
Weber, Julia & E. Hecker. (1978). Cocarcinogens of the diterpene ester type fromCroton flavens L. and esophageal cancer in Curaçao. Cellular and Molecular Life Sciences. 34(6). 679–682. 48 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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