Markus Haak

982 total citations
23 papers, 733 citations indexed

About

Markus Haak is a scholar working on Molecular Biology, Immunology and Genetics. According to data from OpenAlex, Markus Haak has authored 23 papers receiving a total of 733 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Molecular Biology, 6 papers in Immunology and 5 papers in Genetics. Recurrent topics in Markus Haak's work include Bacterial Genetics and Biotechnology (3 papers), Immune Response and Inflammation (3 papers) and Virus-based gene therapy research (2 papers). Markus Haak is often cited by papers focused on Bacterial Genetics and Biotechnology (3 papers), Immune Response and Inflammation (3 papers) and Virus-based gene therapy research (2 papers). Markus Haak collaborates with scholars based in Germany, United States and United Kingdom. Markus Haak's co-authors include N. Gretz, Benito Yard, Grietje Beck, Fokko J. van der Woude, Lutz Trojan, Thomas Knoll, P. Alken, Annette Steidler, Oliver Frank and Wolfgang Seifarth and has published in prestigious journals such as Journal of Biological Chemistry, Journal of Molecular Biology and Biochemical and Biophysical Research Communications.

In The Last Decade

Markus Haak

23 papers receiving 717 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Markus Haak Germany 14 406 105 101 99 74 23 733
Mark F. Oellerich Germany 9 433 1.1× 93 0.9× 49 0.5× 47 0.5× 76 1.0× 11 822
Astrid Kragt Netherlands 11 758 1.9× 220 2.1× 108 1.1× 57 0.6× 53 0.7× 12 1.2k
Hidehiko Fujinaka Japan 21 570 1.4× 47 0.4× 109 1.1× 57 0.6× 90 1.2× 63 1.2k
Maria Świątkowska Poland 17 313 0.8× 139 1.3× 75 0.7× 37 0.4× 54 0.7× 38 841
John H. Cleator United States 9 207 0.5× 147 1.4× 159 1.6× 44 0.4× 39 0.5× 19 503
Ulrika Liljedahl Sweden 14 329 0.8× 37 0.4× 76 0.8× 66 0.7× 122 1.6× 21 765
Fumihiko Tanioka Japan 16 345 0.8× 62 0.6× 35 0.3× 41 0.4× 134 1.8× 59 716
Nam-Ho Choi-Miura Japan 15 261 0.6× 69 0.7× 76 0.8× 38 0.4× 183 2.5× 24 705
Ximing Xiong United States 10 271 0.7× 196 1.9× 79 0.8× 29 0.3× 43 0.6× 17 657
Gitte Hoffmann Bruun Denmark 14 528 1.3× 54 0.5× 36 0.4× 121 1.2× 176 2.4× 17 862

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-authorship network of co-authors of Markus Haak

This figure shows the co-authorship network connecting the top 25 collaborators of Markus Haak. A scholar is included among the top collaborators of Markus Haak based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Markus Haak. Markus Haak is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Brandt, David, Tobias Busche, Markus Haak, et al.. (2021). Multiple Occurrences of a 168-Nucleotide Deletion in SARS-CoV-2 ORF8, Unnoticed by Standard Amplicon Sequencing and Variant Calling Pipelines. Viruses. 13(9). 1870–1870. 6 indexed citations
2.
Haak, Markus, et al.. (2021). Construction of an IS-Free Corynebacterium glutamicum ATCC 13 032 Chassis Strain and Random Mutagenesis Using the Endogenous ISCg1 Transposase. Frontiers in Bioengineering and Biotechnology. 9. 751334–751334. 8 indexed citations
3.
Brandt, David, et al.. (2021). Nanopore sequencing of native adeno-associated virus (AAV) single-stranded DNA using a transposase-based rapid protocol. NAR Genomics and Bioinformatics. 3(2). 2 indexed citations
4.
Brandt, David, et al.. (2020). Nanopore sequencing of native adeno-associated virus (AAV) single-stranded DNA using a transposase-based rapid protocol. NAR Genomics and Bioinformatics. 2(4). lqaa074–lqaa074. 31 indexed citations
5.
Haak, Markus, et al.. (2018). High Quality de Novo Transcriptome Assembly of Croton tiglium. Frontiers in Molecular Biosciences. 5. 62–62. 27 indexed citations
7.
Haak, Markus, et al.. (2017). Expanding The Genetic Code. PUB – Publications at Bielefeld University (Bielefeld University). 2 indexed citations
8.
Schick, Eginhard, Roland F. Staack, Markus Haak, et al.. (2016). Validation of A Ligand-Binding Assay for Active Protein Drug Quantification Following The ‘Free Analyte Qc Concept’. Bioanalysis. 8(24). 2537–2549. 8 indexed citations
9.
Grallert, Harald, Eva‐Maria Sedlmeier, Cornelia Huth, et al.. (2007). APOA5 variants and metabolic syndrome in Caucasians. Journal of Lipid Research. 48(12). 2614–2621. 57 indexed citations
10.
Zheng, Chuansheng, Markus Haak, Benedikt Brors, et al.. (2006). Gene expression profiling of CD34+ cells identifies a molecular signature of chronic myeloid leukemia blast crisis. Leukemia. 20(6). 1028–1034. 86 indexed citations
11.
Frank, Oliver, Benedikt Brors, Alice Fabarius, et al.. (2006). Gene expression signature of primary imatinib-resistant chronic myeloid leukemia patients. Leukemia. 20(8). 1400–1407. 85 indexed citations
12.
Beck, Grietje, Neysan Rafat, C Hanusch, et al.. (2006). Heterogeneity in lipopolysaccharide responsiveness of endothelial cells identified by gene expression profiling: role of transcription factors. Clinical & Experimental Immunology. 143(3). 523–533. 23 indexed citations
13.
Trojan, Lutz, Annette Steidler, Markus Haak, et al.. (2005). Identification of metastasis-associated genes in prostate cancer by genetic profiling of human prostate cancer cell lines.. PubMed. 25(1A). 183–91. 85 indexed citations
14.
Brandt, Robert, Ralf Jesnowski, Sören Siegmund, et al.. (2003). Differential gene expression in the alcohol target organs liver and pancreas of wistar rats using DNA chip technology. Pancreas. 27(4). 373–374. 2 indexed citations
15.
Beck, Grietje, Benito Yard, Jutta Schulte, et al.. (2003). Secreted phospholipases A2 induce the expression of chemokines in microvascular endothelium. Biochemical and Biophysical Research Communications. 300(3). 731–737. 41 indexed citations
16.
Beck, Grietje, Benito Yard, Marietta Kaszkin, et al.. (2003). Amelioration of endotoxin-induced sepsis in rats by membrane anchored lipid conjugates. Critical Care Medicine. 31(7). 2015–2021. 10 indexed citations
17.
Witt, Christian, Yasuko Ono, Mark McNabb, et al.. (2003). Induction and Myofibrillar Targeting of CARP, and Suppression of the Nkx2.5 Pathway in the MDM Mouse with Impaired Titin-based Signaling. Journal of Molecular Biology. 336(1). 145–154. 81 indexed citations
18.
19.
Yard, Benito, et al.. (2002). Human proteinase 3 can inhibits LPS-mediated TNF-alpha production through CD14 degradation: lack of influence of antineutrophil cytoplasmic antibodies. Clinical & Experimental Immunology. 128(3). 444–452. 8 indexed citations
20.
Whitfield, Carolyn D., et al.. (1981). Hamster cell mutants unable to grow on galactose and exhibiting an overlapping complementation pattern are defective in the electron transport chain.. Journal of Biological Chemistry. 256(13). 6651–6656. 35 indexed citations

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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