Markus Haak

994 citations
23 papers · 765 · h-index 14

Impact in

  • Hematology top 10%
    • Chronic Myeloid Leukemia Treatments
  • Genetics top 10%
    • Chronic Lymphocytic Leukemia Research
    • Virus-based gene therapy research

Papers in

    • Microbial Metabolic Engineering and Bioproduction 2
    • Bacterial Genetics and Biotechnology 3
    • Chronic Lymphocytic Leukemia Research 2
    • Virus-based gene therapy research 2

Markus Haak

23 papers receiving 743 citations

Peers

Markus Haak
Comparison fields: 5 of 90
  • Hematology 108
  • Genetics 93
  • Molecular Biology 383
  • Cardiology and Cardiovascular Medicine 92
  • Cancer Research 57
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Citations per year

Countries citing papers authored by Markus Haak

Since Specialization
Citations

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

Fields of papers citing papers by Markus Haak

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 23 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200691
2 200689
3
Identification of metastasis-associated genes in prostate cancer by genetic profiling of human prostate cancer cell lines.
200589
4 200384
5 200761
6 200846
7 200341
8 200241
9 198138
10 200535
11 202032
12 201829
13 200622
14 201719
15 200310
16 20169
17 20218
18 20028
19 20216
20
Differential gene expression in the alcohol target organs liver and pancreas of wistar rats using DNA chip technology
20032

About Markus Haak

Markus Haak is a scholar working on Molecular Biology, Genetics, Immunology, Genetics and Hematology, having authored 23 papers that have together received 765 indexed citations. Recurring topics across this work include Bacterial Genetics and Biotechnology (3 papers), Chronic Myeloid Leukemia Treatments (2 papers), Chronic Lymphocytic Leukemia Research (2 papers), Microbial Metabolic Engineering and Bioproduction (2 papers), Bacteriophages and microbial interactions (2 papers), Immune Response and Inflammation (2 papers), Virus-based gene therapy research (2 papers) and Cardiomyopathy and Myosin Studies (1 paper). The work is most often cited by research in Hematology (108 citations), Genetics (93 citations), Molecular Biology (383 citations), Cardiology and Cardiovascular Medicine (92 citations) and Cancer Research (57 citations). Markus Haak has collaborated with scholars based in Germany, United States and United Kingdom. Frequent co-authors include N. Gretz, Benito Yard, Thomas Knoll, Grietje Beck, Annette Steidler, Fokko J. van der Woude, P. Alken, Lutz Trojan, Benedikt Brors and Oliver Frank. Their work appears in journals such as Leukemia, NAR Genomics and Bioinformatics, Clinical & Experimental Immunology, Journal of Lipid Research and Frontiers in Bioengineering and Biotechnology.

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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