Volkmar Liebscher

1.6k total citations
63 papers, 1.0k citations indexed

About

Volkmar Liebscher is a scholar working on Molecular Biology, Mathematical Physics and Genetics. According to data from OpenAlex, Volkmar Liebscher has authored 63 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Molecular Biology, 15 papers in Mathematical Physics and 12 papers in Genetics. Recurrent topics in Volkmar Liebscher's work include Gene Regulatory Network Analysis (9 papers), Advanced Operator Algebra Research (7 papers) and Bioinformatics and Genomic Networks (7 papers). Volkmar Liebscher is often cited by papers focused on Gene Regulatory Network Analysis (9 papers), Advanced Operator Algebra Research (7 papers) and Bioinformatics and Genomic Networks (7 papers). Volkmar Liebscher collaborates with scholars based in Germany, France and United States. Volkmar Liebscher's co-authors include Gerhard Winkler, Uwe Franz, Michael Skeide, Johannes Müller, Tim M. Strom, John Couwenberg, Uwe Völker, Anna Kuparinen, Martin Theuerkauf and Olaf Wittich and has published in prestigious journals such as Proceedings of the National Academy of Sciences, PLoS ONE and Scientific Reports.

In The Last Decade

Volkmar Liebscher

60 papers receiving 968 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Volkmar Liebscher Germany 18 439 193 132 106 99 63 1.0k
Mark Kon United States 18 359 0.8× 48 0.2× 55 0.4× 177 1.7× 268 2.7× 70 1.5k
Italia De Feis Italy 16 346 0.8× 96 0.5× 103 0.8× 10 0.1× 85 0.9× 53 979
Justin B. Kinney United States 24 2.3k 5.3× 693 3.6× 118 0.9× 33 0.3× 50 0.5× 47 3.4k
Claude Bélisle Canada 19 289 0.7× 132 0.7× 26 0.2× 36 0.3× 18 0.2× 42 1.2k
Josep M. Oller Spain 11 228 0.5× 200 1.0× 88 0.7× 9 0.1× 47 0.5× 30 1.1k
Serge Cohen France 15 505 1.2× 104 0.5× 13 0.1× 139 1.3× 28 0.3× 52 1.3k
Antonio Brú Spain 13 249 0.6× 41 0.2× 52 0.4× 60 0.6× 26 0.3× 27 902
Pamela Burrage Australia 17 346 0.8× 104 0.5× 55 0.4× 36 0.3× 5 0.1× 59 1.2k
Geoffrey Schiebinger Canada 12 679 1.5× 38 0.2× 67 0.5× 21 0.2× 34 0.3× 22 1.0k
Hongxiao Zhu United States 13 203 0.5× 123 0.6× 16 0.1× 13 0.1× 22 0.2× 38 631

Countries citing papers authored by Volkmar Liebscher

Since Specialization
Citations

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

Fields of papers citing papers by Volkmar Liebscher

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Volkmar Liebscher

This figure shows the co-authorship network connecting the top 25 collaborators of Volkmar Liebscher. A scholar is included among the top collaborators of Volkmar Liebscher 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 Volkmar Liebscher. Volkmar Liebscher 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.
Kasbohm, Elisa, Phillip Trefz, Wolfram Miekisch, et al.. (2021). Detection of Mycobacterium avium ssp. paratuberculosis in Cultures From Fecal and Tissue Samples Using VOC Analysis and Machine Learning Tools. Frontiers in Veterinary Science. 8. 620327–620327. 7 indexed citations
2.
Gellert, Manuela, et al.. (2019). Substrate specificity of thioredoxins and glutaredoxins – towards a functional classification. Heliyon. 5(12). e02943–e02943. 28 indexed citations
3.
Liebscher, Volkmar. (2018). New Gromov-Inspired Metrics on Phylogenetic Tree Space. Bulletin of Mathematical Biology. 80(3). 493–518. 2 indexed citations
4.
Liebscher, Volkmar, et al.. (2018). The Rosenzweig–MacArthur system via reduction of an individual based model. Journal of Mathematical Biology. 78(1-2). 413–439. 1 indexed citations
5.
Theuerkauf, Martin, John Couwenberg, Anna Kuparinen, & Volkmar Liebscher. (2016). DISQOVER the Landcover - R based tools for quantitative vegetation reconstruction. EGUGA. 2 indexed citations
6.
Ameling, Sabine, Tim Kacprowski, Ravi Kumar Chilukoti, et al.. (2015). Associations of circulating plasma microRNAs with age, body mass index and sex in a population-based study. BMC Medical Genomics. 8(1). 61–61. 148 indexed citations
7.
Gloger, Oliver, Volkmar Liebscher, Klaus Tönnies, & Henry Völzke. (2014). Fully Automatic Renal Parenchyma Volumetry in LDA-based Probability Maps Using Variational Outer Cortex Edge Alignment Forces.. 1207–1218. 1 indexed citations
8.
Laqua, René, et al.. (2014). A Level Set Based Framework for Quantitative Evaluation of Breast Tissue Density from MRI Data. PLoS ONE. 9(11). e112709–e112709. 15 indexed citations
9.
Liebscher, Volkmar, et al.. (2013). An approach to model monitoring and surveillance data of wildlife diseases—Exemplified by Classical Swine Fever in wild boar. Preventive Veterinary Medicine. 112(3-4). 355–369. 4 indexed citations
10.
Franz, Uwe, et al.. (2012). Piecewise-Deterministic Markov Processes as Limits of Markov Jump Processes. Advances in Applied Probability. 44(3). 729–748. 3 indexed citations
11.
Rodenacker, Karsten, A. Brühl, Martina Hausner, et al.. (2011). QUANTIFICATION OF BIOFILMS IN MULTI-SPECTRAL DIGITAL1 VOLUMES FROM CONFOCAL LASER-SCANNING MICROSCOPES. Image Analysis & Stereology. 19(2). 151–151. 4 indexed citations
12.
Liebscher, Volkmar, et al.. (2010). On a Class of Deterministic Population Models with Stochastic Foundation. Bulletin of Mathematical Biology. 73(7). 1559–1582. 5 indexed citations
13.
Franz, Uwe, et al.. (2009). Hybrid Modeling of Noise Reduction by a Negatively Autoregulated System. Bulletin of Mathematical Biology. 71(4). 1006–1024. 7 indexed citations
14.
Franz, Uwe, et al.. (2008). Simulation of genetic networks modelled by piecewise deterministic Markov processes. IET Systems Biology. 2(3). 113–135. 36 indexed citations
15.
Wagenstaller, Janine, Stephanie Spranger, Bettina Lorenz‐Depiereux, et al.. (2007). Copy-Number Variations Measured by Single-Nucleotide–Polymorphism Oligonucleotide Arrays in Patients with Mental Retardation. The American Journal of Human Genetics. 81(4). 768–779. 93 indexed citations
16.
Liebscher, Volkmar, et al.. (2006). Number of active transcription factor binding sites is essential for the Hes7 oscillator. Theoretical Biology and Medical Modelling. 3(1). 11–11. 30 indexed citations
17.
Liebscher, Volkmar, et al.. (2005). Don't shed tears over breaks. Data Archiving and Networked Services (DANS). 6 indexed citations
18.
Freudenberg, Wolfgang, et al.. (2004). On exchange mechanisms for bosons. Random Operators and Stochastic Equations. 12(4). 331–348. 3 indexed citations
19.
Bhat, B. V. Rajarama, et al.. (2003). Type I product systems of Hilbert modules. Journal of Functional Analysis. 212(1). 121–181. 41 indexed citations
20.
Liebscher, Volkmar. (1999). NOTE ON ENTANGLED ERGODIC THEOREMS. Infinite Dimensional Analysis Quantum Probability and Related Topics. 2(2). 301–304. 5 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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