Florian Märkl

572 citations
8 papers · 156 · h-index 5

Impact in

    • Immunotherapy and Immune Responses
    • Immune Cell Function and Interaction
    • Immune cells in cancer
    • CAR-T cell therapy research
    • Cancer Immunotherapy and Biomarkers
    • Chemokine receptors and signaling

Papers in

    • CAR-T cell therapy research 8
    • Cancer Immunotherapy and Biomarkers 1
    • CRISPR and Genetic Engineering 2
    • Viral Infectious Diseases and Gene Expression in Insects 1
    • Advanced biosensing and bioanalysis techniques 1

Florian Märkl

7 papers receiving 153 citations

Peers

Florian Märkl
Comparison fields: 5 of 33
  • Immunology 77
  • Oncology 91
  • Cancer Research 10
  • Biotechnology 5
  • Immunology and Allergy 3
Replace Rachel Marcone with:
Rachel Marcone Switzerland
Gerlanda Vella Italy
Jordan Artichoker United States
Blanca Navarro Rodrigo Switzerland
Marit J van Elsas Netherlands
Haizeng Zhang China
Siham Farhane France
Tana Omokoko Germany
Tyler G. Searles United States
Rachael M. Zemek Australia
Florian Märkl relative to Rachel Marcone Switzerland Rachel Marcone's profile →
Citations per field
00.5×4.5×
Rachel Marcone · 1×
Citations per year

Countries citing papers authored by Florian Märkl

Since Specialization
Citations

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

Fields of papers citing papers by Florian Märkl

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

8 of 8 papers shown
#Work
1 2022119
2 202213
3 202311
4 20237
5 20244
6 20231
7 20221
8 20250

About Florian Märkl

Florian Märkl is a scholar working on Oncology, Molecular Biology, Immunology, Biomedical Engineering and Infectious Diseases, having authored 8 papers that have together received 156 indexed citations. Recurring topics across this work include CAR-T cell therapy research (8 papers), Immunotherapy and Immune Responses (3 papers), CRISPR and Genetic Engineering (2 papers), Viral Infectious Diseases and Gene Expression in Insects (1 paper), Nanowire Synthesis and Applications (1 paper), Cancer Immunotherapy and Biomarkers (1 paper), Advanced biosensing and bioanalysis techniques (1 paper) and Immune Cell Function and Interaction (1 paper). The work is most often cited by research in Immunology (77 citations), Oncology (91 citations), Cancer Research (10 citations), Biotechnology (5 citations) and Immunology and Allergy (3 citations). Florian Märkl has collaborated with scholars based in Germany, United States and France. Frequent co-authors include Sebastian Kobold, Stefan Endres, Duc Huynh, Pia Winter, Gerulf Hänel, Ruth Grünmeier, Bettina Brauchle, Daria Briukhovetska, Lisa Rohrbacher and Matthias Seifert. Their work appears in journals such as Cancer Immunology Immunotherapy, Blood, British Journal of Cancer, Blood Advances and Trends in cancer.

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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