Martin Hölzer

3.7k total citations · 1 hit paper
106 papers, 1.6k citations indexed

About

Martin Hölzer is a scholar working on Molecular Biology, Computer Networks and Communications and Hardware and Architecture. According to data from OpenAlex, Martin Hölzer has authored 106 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 44 papers in Molecular Biology, 22 papers in Computer Networks and Communications and 20 papers in Hardware and Architecture. Recurrent topics in Martin Hölzer's work include Genomics and Phylogenetic Studies (25 papers), Embedded Systems Design Techniques (19 papers) and Interconnection Networks and Systems (13 papers). Martin Hölzer is often cited by papers focused on Genomics and Phylogenetic Studies (25 papers), Embedded Systems Design Techniques (19 papers) and Interconnection Networks and Systems (13 papers). Martin Hölzer collaborates with scholars based in Germany, Austria and United States. Martin Hölzer's co-authors include Manja Marz, Markus Rupp, Frank Schulz, Adrian Viehweger, Christoph Angerer, Kevin Lamkiewicz, Sebastian Krautwurst, Dorothea Wagner, Konrad Sachse and John Ziebuhr and has published in prestigious journals such as Nature, Nucleic Acids Research and Nature Communications.

In The Last Decade

Martin Hölzer

99 papers receiving 1.5k citations

Hit Papers

SARS-CoV-2 evolution on a dynamic immune landscape 2025 2026 2025 5 10 15

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Martin Hölzer Germany 22 672 294 244 181 172 106 1.6k
Shuwen Xu China 38 880 1.3× 51 0.2× 59 0.2× 157 0.9× 98 0.6× 215 4.0k
François Laviolette Canada 23 921 1.4× 361 1.2× 90 0.4× 56 0.3× 68 0.4× 70 2.9k
Lihua Lü China 17 760 1.1× 174 0.6× 99 0.4× 99 0.5× 59 0.3× 59 1.9k
Gail Rosen United States 22 1.6k 2.3× 673 2.3× 163 0.7× 44 0.2× 78 0.5× 100 2.5k
Christian L. Müller Germany 20 1.4k 2.1× 479 1.6× 155 0.6× 144 0.8× 122 0.7× 90 2.7k
Noam Shental Israel 17 326 0.5× 67 0.2× 126 0.5× 66 0.4× 46 0.3× 33 1.6k
Hideo Matsuda Japan 22 1.6k 2.4× 550 1.9× 71 0.3× 85 0.5× 200 1.2× 139 2.8k
Laxmi Parida United States 23 979 1.5× 129 0.4× 484 2.0× 20 0.1× 137 0.8× 142 2.3k
Zia U. Khan Kuwait 28 165 0.2× 111 0.4× 1.1k 4.4× 82 0.5× 930 5.4× 70 2.7k
Robert E. Smith United States 23 259 0.4× 139 0.5× 87 0.4× 154 0.9× 55 0.3× 56 1.6k

Countries citing papers authored by Martin Hölzer

Since Specialization
Citations

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

Fields of papers citing papers by Martin Hölzer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Martin Hölzer

This figure shows the co-authorship network connecting the top 25 collaborators of Martin Hölzer. A scholar is included among the top collaborators of Martin Hölzer 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 Martin Hölzer. Martin Hölzer 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.
Richard, Hugues, Matthew J. Wade, Shelesh Agrawal, et al.. (2025). Augmentation of wastewater-based epidemiology with machine learning to support global health surveillance. Nature Water. 3(7). 753–763. 2 indexed citations
2.
Deng, Zhi-Luo, et al.. (2025). In silico genomic surveillance by CoVerage predicts and characterizes SARS-CoV-2 variants of interest. Nature Communications. 16(1). 6281–6281.
3.
Bohn, Patrick, et al.. (2024). Sequencing accuracy and systematic errors of nanopore direct RNA sequencing. BMC Genomics. 25(1). 528–528. 34 indexed citations
4.
Viehweger, Adrian, et al.. (2023). Nanopore-based enrichment of antimicrobial resistance genes – a case-based study. SHILAP Revista de lepidopterología. 2023. 1–15. 7 indexed citations
5.
Rangel-Piñeros, Guillermo, Alexandre Almeida, Martín Beracochea, et al.. (2023). VIRify: An integrated detection, annotation and taxonomic classification pipeline using virus-specific protein profile hidden Markov models. PLoS Computational Biology. 19(8). e1011422–e1011422. 17 indexed citations
6.
Schoen, Andreas, Martin Hölzer, Marcel A. Müller, et al.. (2023). Functional comparisons of the virus sensor RIG-I from humans, the microbat Myotis daubentonii , and the megabat Rousettus aegyptiacus , and their response to SARS-CoV-2 infection. Journal of Virology. 97(10). e0020523–e0020523. 1 indexed citations
8.
Marquet, Mike, Martin Hölzer, Mathias W. Pletz, et al.. (2022). What the Phage: a scalable workflow for the identification and analysis of phage sequences. GigaScience. 11. 21 indexed citations
9.
Härdtner, Carmen, et al.. (2022). Everolimus-Loaded Reconstituted High-Density Lipoprotein Prepared by a Novel Dual Centrifugation Approach for Anti-Atherosclerotic Therapy. International Journal of Nanomedicine. Volume 17. 5081–5097. 4 indexed citations
10.
Song, Fei, et al.. (2022). Reduced IQGAP2 Promotes Bladder Cancer through Regulation of MAPK/ERK Pathway and Cytokines. International Journal of Molecular Sciences. 23(21). 13508–13508. 7 indexed citations
11.
Viehweger, Adrian, Norman Lippmann, Kelly L. Wyres, et al.. (2021). Context-aware genomic surveillance reveals hidden transmission of a carbapenemase-producing Klebsiella pneumoniae. Microbial Genomics. 7(12). 7 indexed citations
12.
Calvignac‐Spencer, Sébastien, Matthias Budt, Matthew R. Huska, et al.. (2021). Rise and Fall of SARS-CoV-2 Lineage A.27 in Germany. Viruses. 13(8). 1491–1491. 5 indexed citations
13.
Hölzer, Martin, Martin Ungelenk, Jürgen Thomale, et al.. (2021). RUNX3 Transcript Variants Have Distinct Roles in Ovarian Carcinoma and Differently Influence Platinum Sensitivity and Angiogenesis. Cancers. 13(3). 476–476. 6 indexed citations
15.
Barth, Emanuel, et al.. (2020). EpiDope: a deep neural network for linear B-cell epitope prediction. Bioinformatics. 37(4). 448–455. 53 indexed citations
16.
Hölzer, Martin & Manja Marz. (2020). PoSeiDon: a Nextflow pipeline for the detection of evolutionary recombination events and positive selection. Bioinformatics. 37(7). 1018–1020. 8 indexed citations
17.
Hölzer, Martin, Kevin Lamkiewicz, Pietro Speroni di Fenizio, et al.. (2019). Structure and Hierarchy of Influenza Virus Models Revealed by Reaction Network Analysis. Viruses. 11(5). 449–449. 11 indexed citations
18.
Fuchs, Jonas, Martin Hölzer, Mirjam Schilling, et al.. (2017). Evolution and Antiviral Specificities of Interferon-Induced Mx Proteins of Bats against Ebola, Influenza, and Other RNA Viruses. Journal of Virology. 91(15). 46 indexed citations
19.
Hölzer, Martin, et al.. (2008). Slot-by-slot minimum squared error estimator for tag populations in FSA protocols. Plant Molecular Biology. 36(6). 833–45. 6 indexed citations
20.
Angerer, Christoph, et al.. (2008). A flexible dual frequency testbed for RFID. 3. 9 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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