Markus Haake

471 citations
15 papers · 250 · h-index 6

Impact in

  • Rheumatology top 10%
    • Osteoarthritis Treatment and Mechanisms
    • Immune Response and Inflammation
    • Immune Cell Function and Interaction

Papers in

    • GDF15 and Related Biomarkers 8
    • Osteoarthritis Treatment and Mechanisms 2
    • Cytokine Signaling Pathways and Interactions 3

Markus Haake

15 papers receiving 245 citations

Peers

Markus Haake
Comparison fields: 5 of 66
  • Rheumatology 92
  • Immunology 70
  • Microbiology 13
  • Health, Toxicology and Mutagenesis 28
  • Immunology and Allergy 12
Replace Janine Mayra da Silva with:
Janine Mayra da Silva Brazil
Stephan Culemann Germany
Ana L. Garippo Brazil
Tereza Tománková Czechia
Laxmi Rao United States
L. Stein United States
Hidenori Okazaki Japan
Jin Du China
Danielle Peterson United States
Ngoc Lan Tran Switzerland
Markus Haake relative to Janine Mayra da Silva Brazil Janine Mayra da Silva's profile →
Citations per field
00.5×2.5×
Janine Mayra da Silva · 1×
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 25 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

15 of 15 papers shown
#Work
1 201664
2 201751
3 200049
4 200331
5 200123
6 201415
7 20215
8 20202
9 20212
10 20202
11 20222
12 20231
13
Inhibition of Stat6 by an intracellularly delivered peptide
20011
14 20231
15 20231

About Markus Haake

Markus Haake is a scholar working on Rheumatology, Oncology, Immunology, Molecular Biology and Surgery, having authored 15 papers that have together received 250 indexed citations. Recurring topics across this work include GDF15 and Related Biomarkers (8 papers), Circular RNAs in diseases (4 papers), Cytokine Signaling Pathways and Interactions (3 papers), Macrophage Migration Inhibitory Factor (3 papers), Knee injuries and reconstruction techniques (2 papers), Osteoarthritis Treatment and Mechanisms (2 papers), NF-κB Signaling Pathways (2 papers) and Monoclonal and Polyclonal Antibodies Research (2 papers). The work is most often cited by research in Rheumatology (92 citations), Immunology (70 citations), Microbiology (13 citations), Health, Toxicology and Mutagenesis (28 citations) and Immunology and Allergy (12 citations). Markus Haake has collaborated with scholars based in Germany, Switzerland and United States. Frequent co-authors include Alan J. Grodzinsky, Bodo Kurz, Bernd Rolauffs, Peter Behrendt, Albert Duschl, Sebastian Lippross, Jacques Bertoglio, Armelle Biola‐Vidamment, Karine Andréau and Muriel D. David. Their work appears in journals such as Cancer Research, Journal of Clinical Oncology, Osteoarthritis and Cartilage, Immunobiology and Human Vaccines & Immunotherapeutics.

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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