Volker Stümpflen

2.7k total citations
17 papers, 1.1k citations indexed

About

Volker Stümpflen is a scholar working on Molecular Biology, Cancer Research and Computational Theory and Mathematics. According to data from OpenAlex, Volker Stümpflen has authored 17 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Molecular Biology, 3 papers in Cancer Research and 2 papers in Computational Theory and Mathematics. Recurrent topics in Volker Stümpflen's work include Bioinformatics and Genomic Networks (10 papers), Genomics and Phylogenetic Studies (5 papers) and Microbial Metabolic Engineering and Bioproduction (4 papers). Volker Stümpflen is often cited by papers focused on Bioinformatics and Genomic Networks (10 papers), Genomics and Phylogenetic Studies (5 papers) and Microbial Metabolic Engineering and Bioproduction (4 papers). Volker Stümpflen collaborates with scholars based in Germany, Italy and Austria. Volker Stümpflen's co-authors include Hans‐Werner Mewes, Andreas Ruepp, Goar Frishman, Corinna Montrone, Dmitrij Frishman, Matthias Oesterheld, Philipp Pagel, Barbara Brauner, Pekka Mark and Štefan Kováč and has published in prestigious journals such as Nucleic Acids Research, Bioinformatics and PLoS ONE.

In The Last Decade

Volker Stümpflen

17 papers receiving 1.1k citations

Peers

Volker Stümpflen
Comparison fields: 5 of 93
  • Molecular Biology 976
  • Computational Theory and Mathematics 207
  • Cancer Research 132
  • Spectroscopy 84
  • Cell Biology 68
Eugenia Galeota Italy
Leonardo Briganti Italy
Marc Gillespie United States
Andrew Winter United Kingdom
Bijay Jassal United Kingdom
Martin Lechner Germany
Marta Iannuccelli Italy
Rochelle F. McAdam Canada
Daniele Peluso Italy
David Croft United Kingdom
Eugenia Galeota Italy View profile →
Citations per field, relative to Volker Stümpflen
Volker Stümpflen · 1×
Citations per year, relative to Volker Stümpflen
Volker Stümpflen · 1×

Countries citing papers authored by Volker Stümpflen

Since Specialization
Citations

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

Fields of papers citing papers by Volker Stümpflen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Volker Stümpflen

This figure shows the co-authorship network connecting the top 25 collaborators of Volker Stümpflen. A scholar is included among the top collaborators of Volker Stümpflen 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 Volker Stümpflen. Volker Stümpflen 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
# Title Journal Authors Indexed citations
1 Stroma-Derived Connective Tissue Growth Factor Maintains Cell Cycle Progression and Repopulation Activity of Hematopoietic Stem Cells In Vitro Stem Cell Reports Rouzanna Istvánffy, Baiba Vilne et al. 14
2 Network-based SNP meta-analysis identifies joint and disjoint genetic features across common human diseases BMC Genomics Matthias Arnold, Hansjörg Baurecht et al. 1
3 Cis-Acting Polymorphisms Affect Complex Traits through Modifications of MicroRNA Regulation Pathways PLoS ONE Matthias Arnold, Daniel C. Ellwanger et al. 34
4 The sufficient minimal set of miRNA seed types Bioinformatics Daniel C. Ellwanger, Florian Büttner et al. 91
5 Uncovering the Structure of Heterogenous Biological Data: Fuzzy Graph Partitioning in the k-partite Setting. Florian Blöchl, Volker Stümpflen et al. 1
6 Structuring heterogeneous biological information using fuzzy clustering of k-partite graphs BMC Bioinformatics Florian Blöchl, Volker Stümpflen et al. 13
7 HiNO: An Approach for Inferring Hierarchical Organization from Regulatory Networks PLoS ONE Volker Stümpflen et al. 10
8 MIPS: curated databases and comprehensive secondary data resources in 2010 Nucleic Acids Research Hans‐Werner Mewes, Andreas Ruepp et al. 63
9 Large Scale Application of Neural Network Based Semantic Role Labeling for Automated Relation Extraction from Biomedical Texts PLoS ONE Jason Weston, Ronan Collobert et al. 41
10 A Novel Putative miRNA Target Enhancer Signal PLoS ONE Thorsten Schmidt, Hans‐Werner Mewes et al. 7
11 MIPS: analysis and annotation of genome information in 2007 Nucleic Acids Research Hans‐Werner Mewes, Sabine Dietmann et al. 131
12 Analysis of integrated biomolecular networks using a generic network analysis suite Berichte aus der medizinischen Informatik und Bioinformatik/Journal of integrative bioinformatics Matthias Oesterheld, Hans‐Werner Mewes et al. 1
13 CORUM: the comprehensive resource of mammalian protein complexes Nucleic Acids Research Andreas Ruepp, Bohuslav Brauner et al. 255
14 Computational Prediction of Domain Interactions Methods in molecular biology Philipp Pagel, Matthias Oesterheld et al. 2
15 The DIMA web resource—exploring the protein domain network Bioinformatics Philipp Pagel, Matthias Oesterheld et al. 16
16 SIMAP—The similarity matrix of proteins Bioinformatics Roland Arnold, Thomas Rattei et al. 37
17 The MIPS mammalian protein–protein interaction database Bioinformatics Philipp Pagel, Štefan Kováč et al. 382

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