Markus Machwirth

516 citations
7 papers · 393 · 1 hit paper · h-index 4

Impact in

    • Immune Cell Function and Interaction
    • Immune cells in cancer
    • CAR-T cell therapy research

Papers in

    • Immune Cell Function and Interaction 3
    • Immunotherapy and Immune Responses 1
    • CAR-T cell therapy research 4

Markus Machwirth

6 papers receiving 390 citations

Markus Machwirth's Hit Papers

Linoleic acid potentiates CD8+ T cell metabolic fitness and antitumor immunity 2023 · 228 citations
2280+1+2Years since publication50100150200

Peers

Markus Machwirth
Comparison fields: 5 of 65
  • Immunology 112
  • Oncology 132
  • Cancer Research 60
  • Molecular Biology 134
  • Genetics 54
Replace Lindsay D. Butcher with:
Lindsay D. Butcher United States
Mirian Galliote Morale Brazil
Adrian Baldrich Germany
Amber M. Johnson United States
Ratakorn Srisuttee Thailand
Thomas Grabinger Germany
Xiaoping Lv China
Arkadiusz R. Raczynski United States
Ling Duan China
Ningyi Jin China
Markus Machwirth relative to Lindsay D. Butcher United States Lindsay D. Butcher's profile →
Citations per field
00.5×2×3×4.3×
Lindsay D. Butcher · 1×
Citations per year

Countries citing papers authored by Markus Machwirth

Since Specialization
Citations

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

Fields of papers citing papers by Markus Machwirth

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

7 of 7 papers shown
#Work
1
Linoleic acid potentiates CD8+ T cell metabolic fitness and antitumor immunity
Hit paper breakdown →
2023228
2 202282
3 201976
4 20235
5 20201
6 20241
7 20260

About Markus Machwirth

Markus Machwirth is a scholar working on Immunology, Oncology, Molecular Biology, Infectious Diseases and Genetics, having authored 7 papers that have together received 393 indexed citations. Recurring topics across this work include CAR-T cell therapy research (4 papers), Immune Cell Function and Interaction (3 papers), CRISPR and Genetic Engineering (2 papers), Pluripotent Stem Cells Research (1 paper), Genomics, phytochemicals, and oxidative stress (1 paper), Antifungal resistance and susceptibility (1 paper), Immunotherapy and Immune Responses (1 paper) and Virus-based gene therapy research (1 paper). The work is most often cited by research in Immunology (112 citations), Oncology (132 citations), Cancer Research (60 citations), Molecular Biology (134 citations) and Genetics (54 citations). Markus Machwirth has collaborated with scholars based in Germany, Italy and France. Frequent co-authors include Zoltán Ivics, Esther Grueso, Miriam Alb, Cecilia Zuliani, Tobias Rausch, Hermann Einsele, O. Barábas, Irma Querques, Michael Hudecek and Csaba Miskey. Their work appears in journals such as Science Translational Medicine, Signal Transduction and Targeted Therapy, Cell Metabolism, Cytotherapy 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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