Verena Haug

417 total citations
9 papers, 254 citations indexed

About

Verena Haug is a scholar working on Molecular Biology, Pathology and Forensic Medicine and Cellular and Molecular Neuroscience. According to data from OpenAlex, Verena Haug has authored 9 papers receiving a total of 254 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 2 papers in Pathology and Forensic Medicine and 2 papers in Cellular and Molecular Neuroscience. Recurrent topics in Verena Haug's work include Muscle Physiology and Disorders (3 papers), Nuclear Structure and Function (2 papers) and Tumors and Oncological Cases (2 papers). Verena Haug is often cited by papers focused on Muscle Physiology and Disorders (3 papers), Nuclear Structure and Function (2 papers) and Tumors and Oncological Cases (2 papers). Verena Haug collaborates with scholars based in Germany, Chile and Switzerland. Verena Haug's co-authors include Janbernd Kirschner, Eckhard Schönaü, Julia Vry, Oliver Semler, Tobias Lindig, Sylvia Boesch, Stefanie Wolf, Bernd Kruse, Thomas Klopstock and Ingrid Degen and has published in prestigious journals such as Nature Communications, Biological Psychiatry and Movement Disorders.

In The Last Decade

Verena Haug

9 papers receiving 250 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Verena Haug Germany 7 124 108 86 24 22 9 254
Elizabeth Greally United Kingdom 10 220 1.8× 81 0.8× 37 0.4× 11 0.5× 12 0.5× 18 344
Zahra Moinfar Germany 9 92 0.7× 51 0.5× 26 0.3× 48 2.0× 11 0.5× 18 413
Miriam Aceves United States 11 51 0.4× 90 0.8× 11 0.1× 19 0.8× 13 0.6× 19 286
Antonello Damiani Italy 9 121 1.0× 104 1.0× 80 0.9× 46 1.9× 30 1.4× 9 306
Ching‐Chieh Chou United States 7 106 0.9× 75 0.7× 101 1.2× 11 0.5× 29 1.3× 7 237
Melissa Y. Macias United States 6 93 0.8× 167 1.5× 22 0.3× 11 0.5× 34 1.5× 9 358
Lucas D. Huffman United States 6 125 1.0× 163 1.5× 30 0.3× 46 1.9× 26 1.2× 6 310
Zen‐ichi Tanei Japan 7 85 0.7× 149 1.4× 71 0.8× 29 1.2× 16 0.7× 38 354
Allison J. Schaser United States 8 109 0.9× 99 0.9× 194 2.3× 36 1.5× 17 0.8× 15 426
Mohamad J. Alshikho United States 9 113 0.9× 37 0.3× 175 2.0× 48 2.0× 61 2.8× 21 400

Countries citing papers authored by Verena Haug

Since Specialization
Citations

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

Fields of papers citing papers by Verena Haug

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Verena Haug

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

All Works

9 of 9 papers shown
1.
Diederich, Stefan, Verena Haug, Charlotte Hewel, et al.. (2024). A case of an Angelman-syndrome caused by an intragenic duplication of UBE3A uncovered by adaptive nanopore sequencing. Clinical Epigenetics. 16(1). 101–101. 2 indexed citations
2.
Rohlfing, Anne‐Katrin, Sophia Scheuermann, Na Sun, et al.. (2023). Translating genomic tools to Raman spectroscopy analysis enables high-dimensional tissue characterization on molecular resolution. Nature Communications. 14(1). 5799–5799. 22 indexed citations
3.
Normann, Claus, Verena Haug, Gregor von Wolff, et al.. (2017). Antidepressants Rescue Stress-Induced Disruption of Synaptic Plasticity via Serotonin Transporter–Independent Inhibition of L-Type Calcium Channels. Biological Psychiatry. 84(1). 55–64. 33 indexed citations
4.
Haug, Verena, et al.. (2013). Intermittent Dyspnea and Cyanosis in a Newborn Caused by a Hairy Polyp. Pediatrics & Neonatology. 55(3). 231–232. 3 indexed citations
5.
Dekomien, Gabriele, et al.. (2013). High creatine kinase levels and white matter changes: Clinical and genetic spectrum of congenital muscular dystrophies with laminin alpha-2 deficiency. Molecular and Cellular Probes. 28(4). 118–122. 20 indexed citations
6.
Vry, Julia, et al.. (2013). Whole-body vibration training in children with Duchenne muscular dystrophy and spinal muscular atrophy. European Journal of Paediatric Neurology. 18(2). 140–149. 42 indexed citations
7.
Kottlors, Michael, Angela Huebner, Sabine Krause, et al.. (2010). Late-onset autosomal dominant limb girdle muscular dystrophy and Paget's disease of bone unlinked to the VCP gene locus. Journal of the Neurological Sciences. 291(1-2). 79–85. 12 indexed citations
8.
Bürk, Katrin, Stefanie Wolf, Suzette Heck, et al.. (2009). Comparison of three clinical rating scales in Friedreich ataxia (FRDA). Movement Disorders. 24(12). 1779–1784. 105 indexed citations
9.
Haug, Verena, M Linder-Lucht, Barbara Zieger, et al.. (2009). Unilateral Venous Thalamic Infarction in a Child Mimicking a Thalamic Tumor. Journal of Child Neurology. 24(1). 105–109. 15 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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