Markus Haake

401 citations
10 papers · 270 · h-index 6

Impact in

    • GDF15 and Related Biomarkers
    • Cancer Immunotherapy and Biomarkers
    • Cytokine Signaling Pathways and Interactions

Papers in

    • Cancer Immunotherapy and Biomarkers 3
    • Cytokine Signaling Pathways and Interactions 3
    • Adipose Tissue and Metabolism 1

Markus Haake

8 papers receiving 262 citations

Peers

Markus Haake
Comparison fields: 5 of 50
  • Rheumatology 54
  • Oncology 73
  • Behavioral Neuroscience 5
  • Physiology 41
  • Health, Toxicology and Mutagenesis 22
Replace Zhigang Tian with:
Zhigang Tian United States
Yayoi Niimi Japan
Mikako AOKI Japan
Sohei Makita Japan
Alde Carlo P. Gavino United States
Arthur Lynch United States
Xiangkun Huang China
Kota Wada Japan
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Citations per field
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Citations per year

Countries citing papers authored by Markus Haake

Since Specialization
Citations

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

Fields of papers citing papers by Markus Haake

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 22 scholars most cited alongside Markus Haake, 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 Haake Line = papers co-authored together Markus Haake links everyone, so they are left out of the graph.

All Works

10 of 10 papers shown
#Work
1 202377
2 202469
3 200051
4 200333
5 200123
6 201415
7
Inhibition of Stat6 by an intracellularly delivered peptide
20011
8 20231
9 20230
10 20260

About Markus Haake

Markus Haake is a scholar working on Oncology, Physiology, Rheumatology, Health, Toxicology and Mutagenesis and Immunology, having authored 10 papers that have together received 270 indexed citations. Recurring topics across this work include Cancer Immunotherapy and Biomarkers (3 papers), Cytokine Signaling Pathways and Interactions (3 papers), Mitochondrial Function and Pathology (1 paper), GDF15 and Related Biomarkers (1 paper), Monoclonal and Polyclonal Antibodies Research (1 paper), Adipose Tissue and Metabolism (1 paper), Autophagy in Disease and Therapy (1 paper) and Air Quality and Health Impacts (1 paper). The work is most often cited by research in Rheumatology (54 citations), Oncology (73 citations), Behavioral Neuroscience (5 citations), Physiology (41 citations) and Health, Toxicology and Mutagenesis (22 citations). Markus Haake has collaborated with scholars based in Germany, Spain and Switzerland. Frequent co-authors include Albert Duschl, Armelle Biola‐Vidamment, Karine Andréau, Marc J. Pallardy, Muriel Daniele David, Jacques H. Bertoglio, Heike M. Bömmel, Ulrich Pöschl, Michael Kracht and Christian Schauer. Their work appears in journals such as FEBS Letters, European Journal of Biochemistry, International Immunopharmacology, Human Vaccines & Immunotherapeutics and Annals of Oncology.

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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