Martin Werber

5.2k total citations · 2 hit papers
17 papers, 3.3k citations indexed

About

Martin Werber is a scholar working on Molecular Biology, Genetics and Cancer Research. According to data from OpenAlex, Martin Werber has authored 17 papers receiving a total of 3.3k indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 6 papers in Genetics and 5 papers in Cancer Research. Recurrent topics in Martin Werber's work include Genomics and Rare Diseases (3 papers), Cancer Genomics and Diagnostics (3 papers) and RNA Research and Splicing (3 papers). Martin Werber is often cited by papers focused on Genomics and Rare Diseases (3 papers), Cancer Genomics and Diagnostics (3 papers) and RNA Research and Splicing (3 papers). Martin Werber collaborates with scholars based in Germany, United States and Austria. Martin Werber's co-authors include Bernd Weißhaar, Ralf Stracke, Bernhard G. Herrmann, Lars Wittler, Phillip Grote, Sandra Währisch, Arica Beisaw, David A. Hendrix, Frédéric Koch and Manolis Kellis and has published in prestigious journals such as Genes & Development, PLoS ONE and Development.

In The Last Decade

Martin Werber

16 papers receiving 3.2k citations

Hit Papers

The R2R3-MYB gene family in Arabidopsis thaliana 2001 2026 2009 2017 2001 2013 500 1000 1.5k

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Martin Werber Germany 16 2.7k 1.4k 775 253 213 17 3.3k
Feng Tian China 17 1.8k 0.7× 1.9k 1.4× 202 0.3× 76 0.3× 176 0.8× 45 3.1k
Ying Miao China 28 3.3k 1.2× 2.7k 2.0× 981 1.3× 102 0.4× 102 0.5× 116 4.4k
Cheng Dai China 25 1.6k 0.6× 1.4k 1.0× 157 0.2× 67 0.3× 145 0.7× 61 2.2k
Shilai Bao China 29 2.4k 0.9× 625 0.5× 360 0.5× 67 0.3× 136 0.6× 63 3.1k
Xuan Yao China 26 1.4k 0.5× 951 0.7× 291 0.4× 78 0.3× 257 1.2× 55 2.2k
Jingya Zhao China 23 1.3k 0.5× 627 0.5× 331 0.4× 31 0.1× 50 0.2× 74 2.0k
Li‐Chun Huang China 25 1.0k 0.4× 805 0.6× 157 0.2× 32 0.1× 276 1.3× 68 1.9k
Wenqiang Tang China 24 2.6k 1.0× 3.3k 2.5× 182 0.2× 19 0.1× 127 0.6× 79 4.3k
Teresa Roldán‐Arjona Spain 29 2.5k 0.9× 1.9k 1.4× 345 0.4× 14 0.1× 227 1.1× 60 3.3k
William C. Burhans United States 26 2.3k 0.8× 320 0.2× 240 0.3× 28 0.1× 300 1.4× 45 2.8k

Countries citing papers authored by Martin Werber

Since Specialization
Citations

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

Fields of papers citing papers by Martin Werber

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Martin Werber

This figure shows the co-authorship network connecting the top 25 collaborators of Martin Werber. A scholar is included among the top collaborators of Martin Werber 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 Werber. Martin Werber is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

17 of 17 papers shown
1.
Trinh, Joanne, Krishna Kumar Kandaswamy, Vera Tadić, et al.. (2019). Novel NAXE variants as a cause for neurometabolic disorder: implications for treatment. Journal of Neurology. 267(3). 770–782. 27 indexed citations
2.
Trinh, Joanne, Krishna Kumar Kandaswamy, Martin Werber, et al.. (2019). Novel pathogenic variants and multiple molecular diagnoses in neurodevelopmental disorders. Journal of Neurodevelopmental Disorders. 11(1). 11–11. 35 indexed citations
3.
Bauer, Peter, Krishna Kumar Kandaswamy, Maximilian E. R. Weiss, et al.. (2018). Development of an evidence-based algorithm that optimizes sensitivity and specificity in ES-based diagnostics of a clinically heterogeneous patient population. Genetics in Medicine. 21(1). 53–61. 19 indexed citations
4.
Frankl‐Vilches, Carolina, Heiner Kuhl, Martin Werber, et al.. (2015). Using the canary genome to decipher the evolution of hormone-sensitive gene regulation in seasonal singing birds. Genome Biology. 16(1). 19–19. 42 indexed citations
5.
Trujillano, Daniel, Maximilian E. R. Weiss, Julia Köster, et al.. (2015). Validation of a semiconductor next-generation sequencing assay for the clinical genetic screening ofCFTR. Molecular Genetics & Genomic Medicine. 3(5). 396–403. 16 indexed citations
6.
Wittler, Lars, Martin Werber, Sandra Währisch, et al.. (2014). SRF is essential for mesodermal cell migration during elongation of the embryonic body axis. Mechanisms of Development. 133. 23–35. 15 indexed citations
7.
Werber, Martin, Lars Wittler, Bernd Timmermann, Phillip Grote, & Bernhard G. Herrmann. (2014). The tissue-specific transcriptomic landscape of the mid-gestational mouse embryo. Development. 141(11). 2325–2330. 28 indexed citations
8.
Grote, Phillip, Lars Wittler, David A. Hendrix, et al.. (2013). The Tissue-Specific lncRNA Fendrr Is an Essential Regulator of Heart and Body Wall Development in the Mouse. Developmental Cell. 24(2). 206–214. 761 indexed citations breakdown →
9.
Ralser, Markus, Heiner Kuhl, Martin Werber, et al.. (2012). TheSaccharomyces cerevisiaeW303-K6001 cross-platform genome sequence: insights into ancestry and physiology of a laboratory mutt. Open Biology. 2(8). 120093–120093. 86 indexed citations
10.
Timmermann, Bernd, Martin Kerick, Axel Fischer, et al.. (2010). Somatic Mutation Profiles of MSI and MSS Colorectal Cancer Identified by Whole Exome Next Generation Sequencing and Bioinformatics Analysis. PLoS ONE. 5(12). e15661–e15661. 184 indexed citations
12.
Weise, Anja, Bernd Timmermann, Manfred Grabherr, et al.. (2009). High-throughput sequencing of microdissected chromosomal regions. European Journal of Human Genetics. 18(4). 457–462. 18 indexed citations
13.
Bauer, Hermann, et al.. (2009). Retention of gene products in syncytial spermatids promotes non-Mendelian inheritance as revealed by the t complex responder. Genes & Development. 23(23). 2705–2710. 36 indexed citations
14.
Wittler, Lars, Phillip Grote, Andreas Kispert, et al.. (2007). Expression of Msgn1 in the presomitic mesoderm is controlled by synergism of WNT signalling and Tbx6. EMBO Reports. 8(8). 784–789. 79 indexed citations
15.
Gaspero, Gabriele Di, Diana Bellin, Ralf Schäfer-Pregl, et al.. (2003). Isolation and linkage analysis of expressed disease-resistance gene analogues of sugar beet (Beta vulgarisL.). Genome. 46(1). 70–82. 45 indexed citations
16.
Fulda, Martin, Jay Shockey, Martin Werber, Frank P. Wolter, & Ernst Heinz. (2002). Two long‐chain acyl‐CoA synthetases from Arabidopsis thaliana involved in peroxisomal fatty acid β‐oxidation. The Plant Journal. 32(1). 93–103. 149 indexed citations
17.
Stracke, Ralf, Martin Werber, & Bernd Weißhaar. (2001). The R2R3-MYB gene family in Arabidopsis thaliana. Current Opinion in Plant Biology. 4(5). 447–456. 1726 indexed citations breakdown →

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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