Ursula Kummer

8.6k total citations · 2 hit papers
78 papers, 3.8k citations indexed

About

Ursula Kummer is a scholar working on Molecular Biology, Computer Networks and Communications and Genetics. According to data from OpenAlex, Ursula Kummer has authored 78 papers receiving a total of 3.8k indexed citations (citations by other indexed papers that have themselves been cited), including 58 papers in Molecular Biology, 9 papers in Computer Networks and Communications and 8 papers in Genetics. Recurrent topics in Ursula Kummer's work include Microbial Metabolic Engineering and Bioproduction (28 papers), Gene Regulatory Network Analysis (25 papers) and Protein Structure and Dynamics (12 papers). Ursula Kummer is often cited by papers focused on Microbial Metabolic Engineering and Bioproduction (28 papers), Gene Regulatory Network Analysis (25 papers) and Protein Structure and Dynamics (12 papers). Ursula Kummer collaborates with scholars based in Germany, United States and Denmark. Ursula Kummer's co-authors include Sven Sahle, Pedro Mendes, Stefan Hoops, Jürgen Pahle, Ralph Gauges, Christine Lee, Mudita Singhal, Liang Xu, Lars Folke Olsen and Karin Schumacher and has published in prestigious journals such as Journal of the American Chemical Society, Bioinformatics and PLoS ONE.

In The Last Decade

Ursula Kummer

76 papers receiving 3.7k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

COPASI—a COmplex PAthway SImulator

2006 1.8k citations Sven Sahle, Jürgen Pahle et al. profile →
Advances and current challenges in calcium signaling

2018 452 citations Jörg Kudla, Dirk Becker et al. New Phytologist profile →

Peers

Countries citing papers authored by Ursula Kummer

Since Specialization

Citations

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

Fields of papers citing papers by Ursula Kummer

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ursula Kummer

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

#	Work	Indexed citations
1	Embedding the de.NBI Cloud in the National Research Data Infrastructure Activities 2023 ·FreiDok plus (Universitätsbibliothek Freiburg) ·Nils Hoffmann, Irena Maus, Sebastian Beier, Peter Belmann, Jan Walters Kruger, Andreas Tauch, Alexander Goesmann, Roland Eils, Peer Bork, Oliver Kohlbacher, Ursula Kummer, Rolf Backofen, Ivo Buchhalter, Alexander Sczyrba	1
2	All Driven by Energy Demand? Integrative Comparison of Metabolism of Enterococcus faecalis Wildtype and a Glutamine Synthase Mutant 2022 ·Microbiology Spectrum ·(unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), Ruedi Aebersold, Bernd Kreikemeyer, Tomas Fiedler, Ursula Kummer	8
3	Stochastic dynamics of Type-I interferon responses 2022 ·PLoS Computational Biology ·(unknown), (unknown), Sven Sahle, Pascal Mutz, (unknown), Christopher Dächert, Ralf Bartenschlager, Marco Binder, Ursula Kummer	6
4	Computational systems biology of cellular processes in Arabidopsis thaliana: an overview 2019 ·Cellular and Molecular Life Sciences ·(unknown), Ursula Kummer	7
5	Advances and current challenges in calcium signaling breakdown → 2018 ·New Phytologist ·Jörg Kudla, Dirk Becker, Erwin Grill, Rainer Hedrich, Michael Hippler, Ursula Kummer, Martin Parniske, Tina Romeis, Karin Schumacher	452
6	A20/TNFAIP3 Discriminates Tumor Necrosis Factor (TNF)-Induced NF-κB from JNK Pathway Activation in Hepatocytes 2017 ·Frontiers in Physiology ·Federico Pinna, Michaela Bissinger, (unknown), Nicolas Huber, Thomas Longerich, Ursula Kummer, Peter Schirmacher, Sven Sahle, Kai Breuhahn	16
7	Integrating highly quantitative proteomics and genome-scale metabolic modeling to study pH adaptation in the human pathogen Enterococcus faecalis 2016 ·npj Systems Biology and Applications ·(unknown), (unknown), (unknown), Tomas Fiedler, (unknown), Brett G. Olivier, Ben C. Collins, Olga T. Schubert, Frank Bergmann, Bernd Kreikemeyer, Ruedi Aebersold, Ursula Kummer	26
8	Genome-scale reconstruction of the Streptococcus pyogenes M49 metabolic network reveals growth requirements and indicates potential drug targets 2016 ·Journal of Biotechnology ·Jennifer Levering, Tomas Fiedler, (unknown), Koen W.A. van Grinsven, (unknown), (unknown), Brett G. Olivier, Lara C. Klett, Jeroen Hugenholtz, Bas Teusink, Bernd Kreikemeyer, Ursula Kummer	24
9	What Can We Learn from Global Sensitivity Analysis of Biochemical Systems? 2013 ·PLoS ONE ·(unknown), Stefan Neumann, Ursula Kummer, Pedro Mendes	29
10	Applications and trends in systems biology in biochemistry 2011 ·FEBS Journal ·Katrin Hübner, Sven Sahle, Ursula Kummer	37
11	Amplitude-encoded calcium oscillations in fish cells 2011 ·Biophysical Chemistry ·(unknown), Ursula Kummer, (unknown), Thomas Braunbeck	7
12	Biochemical network-based drug-target prediction 2010 ·Current Opinion in Biotechnology ·Edda Klipp, Rebecca C. Wade, Ursula Kummer	49
13	The metabolic pH response in Lactococcus lactis: An integrative experimental and modelling approach 2008 ·Computational Biology and Chemistry ·(unknown), Ana L. Carvalho, Ana Rute Neves, Helena Santos, Ursula Kummer, Lars Folke Olsen	37
14	Elevated Glucose Concentrations Promote Receptor-Independent Activation of Adherent Human Neutrophils: An Experimental and Computational Approach 2007 ·Biophysical Journal ·Ursula Kummer, Jürgen Zobeley, Jens Christian Brasen, (unknown), Andrei L. Kindzelskii, (unknown), Andrea J. Clark, Howard R. Petty	31
15	A new dynamical layout algorithm for complex biochemical reaction networks 2005 ·BMC Bioinformatics ·Katja Wegner, Ursula Kummer	16
16	Transition from Stochastic to Deterministic Behavior in Calcium Oscillations 2005 ·Biophysical Journal ·Ursula Kummer, (unknown), Jürgen Pahle, Anne K. Green, C. Jane Dixon, Marko Marhl	71
17	A Model of the Oscillatory Metabolism of Activated Neutrophils 2003 ·Biophysical Journal ·Lars Folke Olsen, Ursula Kummer, Andrei L. Kindzelskii, Howard R. Petty	59
18	Oscillatory dynamics protect enzymes and possibly cells against toxic substances 2001 ·Faraday Discussions ·Marcus J. B. Hauser, Ursula Kummer, (unknown), Lars Folke Olsen	25
19	Switching from Simple to Complex Oscillations in Calcium Signaling 2000 ·Biophysical Journal ·Ursula Kummer, Lars Folke Olsen, C. Jane Dixon, (unknown), Erich Bornberg‐Bauer, Gerold Baier	152
20	Oscillations in the peroxidase-oxidase reaction: a comparison of different peroxidases 1996 ·Biochimica et Biophysica Acta (BBA) - General Subjects ·Ursula Kummer, (unknown), Gerold Baier, Klaus Wegmann, Lars Folke Olsen	24

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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