Tanja Blumer

919 citations
7 papers · 692 · 1 hit paper · h-index 7

Impact in

  • Hepatology top 5%
    • Liver physiology and pathology
    • Hepatocellular Carcinoma Treatment and Prognosis
    • Cancer Genomics and Diagnostics

Papers in

    • Cancer Cells and Metastasis 2
    • Cancer Genomics and Diagnostics 2
    • Cancer, Hypoxia, and Metabolism 2

Tanja Blumer

7 papers receiving 687 citations

Tanja Blumer's Hit Papers

Organoid Models of Human Liver Cancers Derived from Tumor Needle Biopsies 2018 · 355 citations
3550+2+5Years since publication100200300

Peers

Tanja Blumer
Comparison fields: 5 of 64
  • Hepatology 158
  • Cancer Research 138
  • Oncology 245
  • Cell Biology 141
  • Biomedical Engineering 140
Replace Quy Xiao Xuan Lin with:
Quy Xiao Xuan Lin Singapore
Christopher Alder United Kingdom
Naoual Benali-Furet France
Benjamin Ruf United States
Rie Ouchi Japan
Mordehay Klepfish Israel
Chunwei W. Lai United States
Chaohui Zuo China
Charles E. Gast United States
Benjamin C. Yan United States
Tanja Blumer relative to Quy Xiao Xuan Lin Singapore Quy Xiao Xuan Lin's profile →
Citations per field
00.5×2×3×4.3×
Quy Xiao Xuan Lin · 1×
Citations per year

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-authors

The 25 scholars most cited alongside Tanja Blumer, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Tanja Blumer Line = papers co-authored together Tanja Blumer links everyone, so they are left out of the graph.

All Works

7 of 7 papers shown
#Work
1
Organoid Models of Human Liver Cancers Derived from Tumor Needle Biopsies
Hit paper breakdown →
2018355
2 2015178
3 201751
4 202147
5 201328
6 201927
7 20126

About Tanja Blumer

Tanja Blumer is a scholar working on Oncology, Cancer Research, Molecular Biology, Infectious Diseases and Epidemiology, having authored 7 papers that have together received 692 indexed citations. Recurring topics across this work include Cancer Genomics and Diagnostics (2 papers), Cancer Cells and Metastasis (2 papers), Cancer, Hypoxia, and Metabolism (2 papers), Hippo pathway signaling and YAP/TAZ (1 paper), Cancer Research and Treatments (1 paper), Tuberculosis Research and Epidemiology (1 paper), Ubiquitin and proteasome pathways (1 paper) and Mycobacterium research and diagnosis (1 paper). The work is most often cited by research in Hepatology (158 citations), Cancer Research (138 citations), Oncology (245 citations), Cell Biology (141 citations) and Biomedical Engineering (140 citations). Tanja Blumer has collaborated with scholars based in Switzerland, Hungary and Iran. Frequent co-authors include Markus H. Heim, Luigi Terracciano, Salvatore Piscuoglio, Isabel Fofana, Sandro Nuciforo, Matthias S. Matter, Diego Calabrese, Charlotte K.Y. Ng, Stefan Wieland and Tujana Boldanova. Their work appears in journals such as Hepatology Communications, Hepatology, Oncogenesis, Journal of Hepatology and Cellular Microbiology.

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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