Edda Klipp

2.8k total citations · 1 hit paper
20 papers, 1.6k citations indexed

About

Edda Klipp is a scholar working on Molecular Biology, Computational Theory and Mathematics and Management Science and Operations Research. According to data from OpenAlex, Edda Klipp has authored 20 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Molecular Biology, 2 papers in Computational Theory and Mathematics and 2 papers in Management Science and Operations Research. Recurrent topics in Edda Klipp's work include Gene Regulatory Network Analysis (7 papers), Microbial Metabolic Engineering and Bioproduction (5 papers) and Bioinformatics and Genomic Networks (4 papers). Edda Klipp is often cited by papers focused on Gene Regulatory Network Analysis (7 papers), Microbial Metabolic Engineering and Bioproduction (5 papers) and Bioinformatics and Genomic Networks (4 papers). Edda Klipp collaborates with scholars based in Germany, Netherlands and United Kingdom. Edda Klipp's co-authors include Wolfram Liebermeister, Christoph Wierling, Axel Kowald, Hans Lehrach, Cornelis Jakobs, Mirjam M. C. Wamelink, Birgit Gerisch, Michael Breitenbach, Sylvia Krobitsch and Gino Heeren and has published in prestigious journals such as PLoS ONE, Journal of Theoretical Biology and FEBS Journal.

In The Last Decade

Edda Klipp

19 papers receiving 1.5k 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.

Systems Biology

1994 524 citations Edda Klipp, Christoph Wierling et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Edda Klipp Germany	13	1.2k	145	110	109	83	20	1.6k
Albert Sorribas Spain	24	1.4k 1.2×	113 0.8×	87 0.8×	168 1.5×	114 1.4×	80	1.9k
Robert Tonge United Kingdom	14	993 0.9×	123 0.8×	116 1.1×	51 0.5×	53 0.6×	18	1.5k
Hiroyuki Kubota Japan	20	1.2k 1.0×	92 0.6×	123 1.1×	120 1.1×	76 0.9×	38	1.6k
Jiarui Wu China	28	1.2k 1.1×	113 0.8×	118 1.1×	87 0.8×	40 0.5×	69	1.9k
Harald Barsnes Norway	26	1.8k 1.6×	126 0.9×	101 0.9×	85 0.8×	61 0.7×	68	2.4k
Thomas Horn Germany	32	2.0k 1.7×	316 2.2×	85 0.8×	151 1.4×	112 1.3×	92	2.9k
Gavain M.A. Sweetman United Kingdom	14	2.3k 1.9×	123 0.8×	103 0.9×	96 0.9×	92 1.1×	19	3.0k
Shunsuke Izumi Japan	23	1.3k 1.1×	251 1.7×	82 0.7×	235 2.2×	150 1.8×	111	2.3k
Giovanni Minervini Italy	25	1.4k 1.2×	134 0.9×	113 1.0×	84 0.8×	49 0.6×	78	1.9k
Ralph Gauges Germany	9	1.6k 1.4×	169 1.2×	55 0.5×	70 0.6×	153 1.8×	13	2.2k

Countries citing papers authored by Edda Klipp

Since Specialization

Citations

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

Fields of papers citing papers by Edda Klipp

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Edda Klipp

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

All Works

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20 of 20 papers shown

1.

Mah, Nancy, Ying Wang, Alessandro Prigione, et al.. (2011). Molecular Insights into Reprogramming-Initiation Events Mediated by the OSKM Gene Regulatory Network. PLoS ONE. 6(8). e24351–e24351. 55 indexed citations

2.

Klipp, Edda, et al.. (2009). A model for the spatiotemporal organization of DNA replication in Saccharomyces cerevisiae. Molecular Genetics and Genomics. 282(1). 25–35. 18 indexed citations

3.

Klipp, Edda, Wolfram Liebermeister, Christoph Wierling, et al.. (2009). Systems Biology: A Textbook. Max Planck Institute for Plasma Physics. 187 indexed citations

4.

Nordlander, Bodil, et al.. (2008). EXPLORING THE IMPACT OF OSMOADAPTATION ON GLYCOLYSIS USING TIME-VARYING RESPONSE-COEFFICIENTS. 77–90. 3 indexed citations

5.

Klipp, Edda, et al.. (2008). EXPLORING THE EFFECT OF VARIABLE ENZYME CONCENTRATIONS IN A KINETIC MODEL OF YEAST GLYCOLYSIS. 1–14. 6 indexed citations

6.

Schaber, Jörg, et al.. (2008). ModelMage: A TOOL FOR AUTOMATIC MODEL GENERATION, SELECTION AND MANAGEMENT. 11 indexed citations

7.

Schaber, Jörg, et al.. (2008). ModelMage: a tool for automatic model generation, selection and management.. PubMed. 20. 52–63. 14 indexed citations

8.

Ralser, Markus, Mirjam M. C. Wamelink, Axel Kowald, et al.. (2007). Dynamic rerouting of the carbohydrate flux is key to counteracting oxidative stress. Journal of Biology. 6(4). 10–10. 470 indexed citations

9.

Zi, Zhike & Edda Klipp. (2007). Constraint-Based Modeling and Kinetic Analysis of the Smad Dependent TGF-β Signaling Pathway. PLoS ONE. 2(9). e936–e936. 67 indexed citations

10.

Kühn, Alexander, et al.. (2007). Modeling development: spikes of the sea urchin.. PubMed. 18. 75–84. 2 indexed citations

11.

Klipp, Edda, et al.. (2007). AUTOMATICALLY GENERATED MODEL OF A METABOLIC NETWORK. 215–224. 5 indexed citations

12.

Zi, Zhike & Edda Klipp. (2007). Steady state analysis of signal response in receptor trafficking networks.. PubMed. 18. 100–8. 2 indexed citations

13.

Liebermeister, Wolfram, Ulrike Baur, & Edda Klipp. (2005). Biochemical network models simplified by balanced truncation. FEBS Journal. 272(16). 4034–4043. 44 indexed citations

14.

Kowald, Axel, Hans Lehrach, & Edda Klipp. (2005). Alternative pathways as mechanism for the negative effects associated with overexpression of superoxide dismutase. Journal of Theoretical Biology. 238(4). 828–840. 40 indexed citations

15.

Liebermeister, Wolfram & Edda Klipp. (2005). Biochemical networks with uncertain parameters. PubMed. 152(3). 97–97. 44 indexed citations

16.

Wierling, Christoph, et al.. (2005). PyBioS - an object-oriented tool for modeling and simulation of complex biological systems. 2005(Fall).

17.

Liebermeister, Wolfram, Edda Klipp, Stefan Schuster, & Reinhart Heinrich. (2004). A theory of optimal differential gene expression. Biosystems. 76(1-3). 261–278. 16 indexed citations

18.

Hakenberg, Jörg, Sebastian Schmeier, Axel Kowald, Edda Klipp, & Ulf Leser. (2004). Finding Kinetic Parameters Using Text Mining. OMICS A Journal of Integrative Biology. 8(2). 131–152. 26 indexed citations

19.

Bakker, Barbara M., et al.. (2002). Network-Based Selectivity of Antiparasitic Inhibitors. Molecular Biology Reports. 29(1-2). 1–5. 19 indexed citations

20.

Klipp, Edda, Christoph Wierling, & Wolfram Liebermeister. (1994). Systems Biology. 524 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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