Martin Haubrock

743 citations
20 papers · 470 indexed · h-index 12
    • Bioinformatics and Genomic Networks 7
    • Genomics and Chromatin Dynamics 7
    • RNA Research and Splicing 5
    • Gene expression and cancer classification 3
    • Pluripotent Stem Cells Research 2
    • Biomedical Text Mining and Ontologies 2
    • Gene Regulatory Network Analysis 2
    • Genomics and Phylogenetic Studies 2

Martin Haubrock

19 papers receiving 463 citations

Peers

Martin Haubrock
Comparison fields: 5 of 88
  • Cancer Research 118
  • Molecular Biology 371
  • Computational Mathematics 2
  • Aging 5
  • Genetics 50
Replace William Yang with:
William Yang United States
Maria Keays United Kingdom
Nishanth Ulhas Nair United States
Tomasz Konopka United Kingdom
Bernardo P. de Almeida Portugal
Nadya Morozova France
Xinyuan Liu China
Pierre Mazière France
Gabriel Musso United States
Huay Mei Poh Singapore
Martin Haubrock relative to William Yang United States William Yang's profile →
Citations per field
00.5×1.5×2.0×
William Yang · 1×
Citations per year

Countries citing papers authored by Martin Haubrock

Since Specialization
Citations

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

Fields of papers citing papers by Martin Haubrock

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20241
2 202129
3 202120
4 202111
5 20200
6 201781
7 20168
8 20168
9 201624
10 201523
11 20152
12 201482
13 201330
14 20128
15 201210
16 201222
17 201150
18 20071
19
Deriving an ontology for human gene expression sources from the CYTOMER database on human organs and cell types.
200513
20 200247

About Martin Haubrock

Martin Haubrock is a scholar working on Molecular Biology, Biophysics, Immunology and Allergy, Cancer Research and Oncology, having authored 20 papers that have together received 470 indexed citations. Recurring topics across this work include Bioinformatics and Genomic Networks (7 papers), Genomics and Chromatin Dynamics (7 papers), RNA Research and Splicing (5 papers), Gene expression and cancer classification (3 papers), Pluripotent Stem Cells Research (2 papers), Biomedical Text Mining and Ontologies (2 papers), Gene Regulatory Network Analysis (2 papers) and Genomics and Phylogenetic Studies (2 papers). The work is most often cited by research in Cancer Research (118 citations), Molecular Biology (371 citations), Computational Mathematics (2 citations), Aging (5 citations) and Genetics (50 citations). Martin Haubrock has collaborated with scholars based in Germany, Czechia and India. Frequent co-authors include Edgar Wingender, Jürgen Dönitz, Mathias Krull, Jie Li, Xu Hua, Anirban Mukhopadhyay, Alexander Goesmann, Folker Meyer, Jörn Kalinowski and Robert Giegerich. Their work appears in journals such as Nucleic Acids Research, Cancers, BMC Systems Biology, BMC Bioinformatics and Bioinformatics.

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026