Maike Effern

1.8k citations
9 papers · 315 · h-index 5

Impact in

    • Immunotherapy and Immune Responses
    • Immune Cell Function and Interaction
    • CAR-T cell therapy research
    • Cancer Immunotherapy and Biomarkers
    • Cancer Cells and Metastasis

Papers in

    • Immunotherapy and Immune Responses 2
    • interferon and immune responses 2
    • Single-cell and spatial transcriptomics 1
    • CRISPR and Genetic Engineering 1

Maike Effern

8 papers receiving 313 citations

Peers

Maike Effern
Comparison fields: 5 of 47
  • Immunology 99
  • Oncology 118
  • Neurology 50
  • Cancer Research 49
  • Cell Biology 47
Replace C Ludwig with:
C Ludwig United States
Pierre‐Emmanuel Stoebner France
Benoît Marchand Canada
Jacob Smigiel United States
Junyi Yin China
Shaofeng Wang China
Shannon M. Wilson United States
Kenneth K. Takeuchi United States
K Reutlinger Germany
Mikaella Vouri United Kingdom
Maike Effern relative to C Ludwig United States C Ludwig's profile →
Citations per field
00.5×
C Ludwig · 1×
Citations per year

Countries citing papers authored by Maike Effern

Since Specialization
Citations

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

Fields of papers citing papers by Maike Effern

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

9 of 9 papers shown
#Work
1 2017161
2 201789
3 202029
4 202117
5 202411
6 20224
7 20243
8 20261
9 20260

About Maike Effern

Maike Effern is a scholar working on Immunology, Molecular Biology, Oncology, Genetics and Neurology, having authored 9 papers that have together received 315 indexed citations. Recurring topics across this work include CAR-T cell therapy research (3 papers), Immunotherapy and Immune Responses (2 papers), Virus-based gene therapy research (2 papers), interferon and immune responses (2 papers), Neuroblastoma Research and Treatments (1 paper), Barrier Structure and Function Studies (1 paper), Single-cell and spatial transcriptomics (1 paper) and CRISPR and Genetic Engineering (1 paper). The work is most often cited by research in Immunology (99 citations), Oncology (118 citations), Neurology (50 citations), Cancer Research (49 citations) and Cell Biology (47 citations). Maike Effern has collaborated with scholars based in Germany, Australia and Switzerland. Frequent co-authors include Michael Hölzel, Thomas Tüting, Xin Lü, Richard J. Lisle, Rasmus Freter, Christopher J. Kershaw, Graham D. Pavitt, Francesca M. Buffa, Daniel Hinze and Matthew J. Daniels. Their work appears in journals such as Immunity, OncoImmunology, Journal of the European Academy of Dermatology and Venereology, Genes & Development and The Journal of Experimental Medicine.

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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