Maja Bürdek

711 citations
10 papers · 570 · h-index 6

Impact in

    • MicroRNA in disease regulation
  • Immunology top 10%
    • Immunotherapy and Immune Responses
    • Immune Cell Function and Interaction

Papers in

    • Immunotherapy and Immune Responses 8
    • Immune Cell Function and Interaction 2
    • Biosimilars and Bioanalytical Methods 1
    • CAR-T cell therapy research 6
    • Cancer Immunotherapy and Biomarkers 4

Maja Bürdek

7 papers receiving 562 citations

Peers

Maja Bürdek
Comparison fields: 5 of 61
  • Cancer Research 253
  • Immunology 240
  • Molecular Biology 392
  • Oncology 128
  • Immunology and Allergy 13
Replace Mélinda Charrier with:
Mélinda Charrier France
Weijia Sun China
Goar Smbatyan United States
Lisa König Germany
Theofanis Floros Greece
Chuqi Wang China
J Xiang Canada
Gautam N. Shenoy United States
Bartholomew Starich United States
Maja Bürdek relative to Mélinda Charrier France Mélinda Charrier's profile →
Citations per field
00.5×1.5×2.1×
Mélinda Charrier · 1×
Citations per year

Countries citing papers authored by Maja Bürdek

Since Specialization
Citations

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

Fields of papers citing papers by Maja Bürdek

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Maja Bürdek, 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 Maja Bürdek Line = papers co-authored together Maja Bürdek links everyone, so they are left out of the graph.

All Works

10 of 10 papers shown
#Work
1 2012233
2 2016164
3 201063
4 201951
5 201039
6 202219
7 20251
8 20230
9 20250
10 20250

About Maja Bürdek

Maja Bürdek is a scholar working on Immunology, Oncology, Molecular Biology, Cancer Research and Genetics, having authored 10 papers that have together received 570 indexed citations. Recurring topics across this work include Immunotherapy and Immune Responses (8 papers), CAR-T cell therapy research (6 papers), Cancer Immunotherapy and Biomarkers (4 papers), MicroRNA in disease regulation (2 papers), Extracellular vesicles in disease (2 papers), Immune Cell Function and Interaction (2 papers), Biosimilars and Bioanalytical Methods (1 paper) and Virus-based gene therapy research (1 paper). The work is most often cited by research in Cancer Research (253 citations), Immunology (240 citations), Molecular Biology (392 citations), Oncology (128 citations) and Immunology and Allergy (13 citations). Maja Bürdek has collaborated with scholars based in Germany, Italy and United States. Frequent co-authors include Antonello Villa, Veronica Huber, Licia Rivoltini, Paola Filipazzi, Susanne Wilde, Bernhard Frankenberger, Stefani Spranger, Dolores J. Schendel, Elisabetta Vergani and Valentina Bollati. Their work appears in journals such as Cancers, Clinical Cancer Research, Journal of Translational Medicine, The Journal of Immunology and Frontiers in Immunology.

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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