Julia Mitschke

1.3k total citations · 1 hit paper
7 papers, 890 citations indexed

About

Julia Mitschke is a scholar working on Molecular Biology, Oncology and Epidemiology. According to data from OpenAlex, Julia Mitschke has authored 7 papers receiving a total of 890 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Molecular Biology, 2 papers in Oncology and 1 paper in Epidemiology. Recurrent topics in Julia Mitschke's work include Genomics and Chromatin Dynamics (2 papers), Cancer Cells and Metastasis (2 papers) and Pancreatic and Hepatic Oncology Research (1 paper). Julia Mitschke is often cited by papers focused on Genomics and Chromatin Dynamics (2 papers), Cancer Cells and Metastasis (2 papers) and Pancreatic and Hepatic Oncology Research (1 paper). Julia Mitschke collaborates with scholars based in Germany, United Kingdom and Spain. Julia Mitschke's co-authors include Melanie Boerries, Wilfried Reichardt, Angela M. Krebs, Simone Brabletz, M Losada, Thomas Brabletz, Otto Schmalhofer, Marc P. Stemmler, Thomas Winkler and Christian Pilarsky and has published in prestigious journals such as Nature Communications, Nature Cell Biology and Cancer and Metastasis Reviews.

In The Last Decade

Julia Mitschke

6 papers receiving 884 citations

Hit Papers

align trajectories

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.

The EMT-activator Zeb1 is a key factor for cell plasticity and promotes metastasis in pancreatic cancer

2017 729 citations Angela M. Krebs, Julia Mitschke et al. Nature Cell Biology profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Julia Mitschke Germany	6	545	464	351	102	99	7	890
Elvin Wagenblast United States	9	589 1.1×	434 0.9×	301 0.9×	98 1.0×	97 1.0×	21	923
Danielle Murphy United States	5	549 1.0×	641 1.4×	308 0.9×	61 0.6×	132 1.3×	13	935
Christopher R. Shepard United States	4	412 0.8×	411 0.9×	190 0.5×	67 0.7×	112 1.1×	4	735
Jiong Li United States	16	815 1.5×	313 0.7×	250 0.7×	195 1.9×	122 1.2×	32	1.1k
Peter Čamaj Germany	16	507 0.9×	355 0.8×	279 0.8×	81 0.8×	78 0.8×	22	788
Eva Allonca Spain	23	570 1.0×	410 0.9×	269 0.8×	114 1.1×	158 1.6×	46	1.1k
Jun Niu China	20	496 0.9×	471 1.0×	360 1.0×	157 1.5×	67 0.7×	43	1.2k
Eric Sceusi United States	6	424 0.8×	419 0.9×	227 0.6×	68 0.7×	49 0.5×	10	704
Victoria da Silva-Diz United States	9	691 1.3×	616 1.3×	345 1.0×	104 1.0×	87 0.9×	16	1.1k

Countries citing papers authored by Julia Mitschke

Since Specialization

Citations

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

Fields of papers citing papers by Julia Mitschke

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Julia Mitschke

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

All Works

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7 of 7 papers shown

1.

Bussi, Claudio, Tiaan Heunis, Enrica Pellegrino, et al.. (2022). Lysosomal damage drives mitochondrial proteome remodelling and reprograms macrophage immunometabolism. Nature Communications. 13(1). 7338–7338. 46 indexed citations

2.

Mitschke, Julia, Manuel Schlimpert, Wilfried Reichardt, et al.. (2020). Cathepsin D deficiency in mammary epithelium transiently stalls breast cancer by interference with mTORC1 signaling. Nature Communications. 11(1). 5133–5133. 46 indexed citations

3.

Mitschke, Julia, et al.. (2020). Supportive Implant Therapy (SIT): A Prospective 10-Year Study of Patient Compliance Rates and Impacting Factors. Journal of Clinical Medicine. 9(6). 1988–1988.

4.

Mitschke, Julia, Ulrike Burk, & Thomas Reinheckel. (2019). The role of proteases in epithelial-to-mesenchymal cell transitions in cancer. Cancer and Metastasis Reviews. 38(3). 431–444. 34 indexed citations

5.

Capponi, Simona, Manuel Irimia, F.M.A. van Schaik, et al.. (2019). Neuronal-specific microexon splicing of TAF1 mRNA is directly regulated by SRRM4/nSR100. RNA Biology. 17(1). 62–74. 17 indexed citations

6.

Krebs, Angela M., Julia Mitschke, M Losada, et al.. (2017). The EMT-activator Zeb1 is a key factor for cell plasticity and promotes metastasis in pancreatic cancer. Nature Cell Biology. 19(5). 518–529. 729 indexed citations breakdown →

7.

Brabletz, Simone, M Losada, Otto Schmalhofer, et al.. (2017). Generation and characterization of mice for conditional inactivation of Zeb1. genesis. 55(4). 18 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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