Tanja Blumer

905 total citations · 1 hit paper
7 papers, 669 citations indexed

About

Tanja Blumer is a scholar working on Oncology, Molecular Biology and Cancer Research. According to data from OpenAlex, Tanja Blumer has authored 7 papers receiving a total of 669 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Oncology, 3 papers in Molecular Biology and 3 papers in Cancer Research. Recurrent topics in Tanja Blumer's work include Cancer Cells and Metastasis (2 papers), Cancer, Hypoxia, and Metabolism (2 papers) and Cancer Genomics and Diagnostics (2 papers). Tanja Blumer is often cited by papers focused on Cancer Cells and Metastasis (2 papers), Cancer, Hypoxia, and Metabolism (2 papers) and Cancer Genomics and Diagnostics (2 papers). Tanja Blumer collaborates with scholars based in Switzerland, Germany and Iran. Tanja Blumer's co-authors include Markus H. Heim, Luigi Terracciano, Salvatore Piscuoglio, Isabel Fofana, Stefan Wieland, Charlotte K.Y. Ng, Sandro Nuciforo, Diego Calabrese, Matthias S. Matter and Tujana Boldanova and has published in prestigious journals such as Journal of Biological Chemistry, Hepatology and Journal of Hepatology.

In The Last Decade

Tanja Blumer

7 papers receiving 665 citations

Hit Papers

Organoid Models of Human Liver Cancers Derived from Tumor... 2018 2026 2020 2023 2018 100 200 300

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Tanja Blumer Switzerland 7 267 235 162 156 142 7 669
Naoual Benali-Furet France 6 378 1.4× 164 0.7× 96 0.6× 267 1.7× 121 0.9× 10 723
Anastasia Bachmann Germany 9 119 0.4× 259 1.1× 203 1.3× 80 0.5× 54 0.4× 14 597
Christopher Alder United Kingdom 7 257 1.0× 298 1.3× 52 0.3× 316 2.0× 36 0.3× 13 655
Benjamin Ruf United States 14 343 1.3× 280 1.2× 146 0.9× 146 0.9× 57 0.4× 29 869
Quy Xiao Xuan Lin Singapore 10 147 0.6× 231 1.0× 47 0.3× 96 0.6× 50 0.4× 14 479
Paola Nicoli Italy 16 313 1.2× 390 1.7× 150 0.9× 120 0.8× 46 0.3× 23 903
Chunwei W. Lai United States 8 140 0.5× 199 0.8× 106 0.7× 75 0.5× 125 0.9× 12 516
Benjamin C. Yan United States 13 100 0.4× 236 1.0× 67 0.4× 103 0.7× 56 0.4× 19 535
Nianli Liu China 16 117 0.4× 401 1.7× 123 0.8× 188 1.2× 32 0.2× 33 714
Charles E. Gast United States 8 160 0.6× 154 0.7× 53 0.3× 70 0.4× 68 0.5× 9 473

Countries citing papers authored by Tanja Blumer

Since Specialization
Citations

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

Fields of papers citing papers by Tanja Blumer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tanja Blumer

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

All Works

7 of 7 papers shown
1.
Gao, Ruize, David Buechel, Ravi Kiran Reddy Kalathur, et al.. (2021). USP29-mediated HIF1α stabilization is associated with Sorafenib resistance of hepatocellular carcinoma cells by upregulating glycolysis. Oncogenesis. 10(7). 52–52. 46 indexed citations
2.
Blumer, Tanja, Isabel Fofana, Matthias S. Matter, et al.. (2019). Hepatocellular Carcinoma Xenografts Established From Needle Biopsies Preserve the Characteristics of the Originating Tumors. Hepatology Communications. 3(7). 971–986. 27 indexed citations
3.
Nuciforo, Sandro, Isabel Fofana, Matthias S. Matter, et al.. (2018). Organoid Models of Human Liver Cancers Derived from Tumor Needle Biopsies. Cell Reports. 24(5). 1363–1376. 339 indexed citations breakdown →
4.
Blumer, Tanja, Mairene Coto‐Llerena, François H.T. Duong, & Markus H. Heim. (2017). SOCS1 is an inducible negative regulator of interferon λ (IFN-λ)–induced gene expression in vivo. Journal of Biological Chemistry. 292(43). 17928–17938. 49 indexed citations
5.
Stein, Claudia, Tanja Blumer, Yann Abraham, et al.. (2015). YAP promotes proliferation, chemoresistance, and angiogenesis in human cholangiocarcinoma through TEAD transcription factors. Hepatology. 62(5). 1497–1510. 175 indexed citations
6.
Blumer, Tanja, et al.. (2013). WASH-driven actin polymerization is required for efficient mycobacterial phagosome maturation arrest. Cellular Microbiology. 16(2). 232–246. 27 indexed citations
7.
Makowska, Zuzanna, Tanja Blumer, François H.T. Duong, et al.. (2012). Sequential induction of type I and II interferons mediates a long-lasting gene induction in the liver in response to a novel toll-like receptor 9 agonist. Journal of Hepatology. 58(4). 743–749. 6 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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