Carsten Conradi

1.1k total citations
26 papers, 540 citations indexed

About

Carsten Conradi is a scholar working on Molecular Biology, Computational Theory and Mathematics and Cell Biology. According to data from OpenAlex, Carsten Conradi has authored 26 papers receiving a total of 540 indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Molecular Biology, 4 papers in Computational Theory and Mathematics and 3 papers in Cell Biology. Recurrent topics in Carsten Conradi's work include Gene Regulatory Network Analysis (17 papers), Protein Structure and Dynamics (13 papers) and Microbial Metabolic Engineering and Bioproduction (8 papers). Carsten Conradi is often cited by papers focused on Gene Regulatory Network Analysis (17 papers), Protein Structure and Dynamics (13 papers) and Microbial Metabolic Engineering and Bioproduction (8 papers). Carsten Conradi collaborates with scholars based in Germany, United States and Denmark. Carsten Conradi's co-authors include Dietrich Flockerzi, Anne Shiu, Jörg Raisch, Maya Mincheva, Alicia Dickenstein, Elisenda Feliu, Jörg Stelling, Mercedes Pérez Millán, Julio Sáez-Rodríguez and Carsten Wiuf and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Biophysical Journal and BMC Bioinformatics.

In The Last Decade

Carsten Conradi

25 papers receiving 517 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Carsten Conradi Germany 13 427 119 52 39 35 26 540
Elisenda Feliu Denmark 16 515 1.2× 155 1.3× 46 0.9× 76 1.9× 41 1.2× 49 667
Anne Shiu United States 13 395 0.9× 192 1.6× 27 0.5× 26 0.7× 47 1.3× 34 608
Maya Mincheva United States 10 238 0.6× 36 0.3× 17 0.3× 25 0.6× 15 0.4× 21 317
Christophe Soulé France 17 251 0.6× 200 1.7× 20 0.4× 42 1.1× 20 0.6× 45 1.4k
Ruoshi Yuan China 14 229 0.5× 24 0.2× 16 0.3× 31 0.8× 6 0.2× 31 414
Mercedes Pérez Millán Argentina 7 137 0.3× 62 0.5× 10 0.2× 4 0.1× 13 0.4× 9 184
Abhinav Verma Germany 13 389 0.9× 18 0.2× 28 0.5× 22 0.6× 4 0.1× 32 612
Renate Schaaf United States 10 84 0.2× 186 1.6× 41 0.8× 18 0.5× 7 0.2× 15 471
I-Chun Chou United States 8 538 1.3× 34 0.3× 10 0.2× 80 2.1× 29 0.8× 10 660
Georg Regensburger Austria 13 189 0.4× 156 1.3× 7 0.1× 9 0.2× 8 0.2× 42 453

Countries citing papers authored by Carsten Conradi

Since Specialization
Citations

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

Fields of papers citing papers by Carsten Conradi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Carsten Conradi

This figure shows the co-authorship network connecting the top 25 collaborators of Carsten Conradi. A scholar is included among the top collaborators of Carsten Conradi 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 Carsten Conradi. Carsten Conradi 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.
Conradi, Carsten & Maya Mincheva. (2024). In distributive phosphorylation catalytic constants enable non-trivial dynamics. Journal of Mathematical Biology. 89(2). 20–20.
2.
Conradi, Carsten, et al.. (2019). On the existence of Hopf bifurcations in the sequential and distributive double phosphorylation cycle. Mathematical Biosciences & Engineering. 17(1). 494–513. 7 indexed citations
3.
Conradi, Carsten & Anne Shiu. (2018). Dynamics of Posttranslational Modification Systems: Recent Progress and Future Directions. Biophysical Journal. 114(3). 507–515. 35 indexed citations
4.
Conradi, Carsten, et al.. (2018). Dynamic modeling of the chemo-enzymatic epoxidation of α-pinene and prediction of continuous process performance. Process Safety and Environmental Protection. 134. 463–475. 9 indexed citations
5.
Conradi, Carsten, Elisenda Feliu, Maya Mincheva, & Carsten Wiuf. (2017). Identifying parameter regions for multistationarity. PLoS Computational Biology. 13(10). e1005751–e1005751. 42 indexed citations
6.
Conradi, Carsten & Thomas Kahle. (2015). Detecting binomiality. Advances in Applied Mathematics. 71. 52–67. 5 indexed citations
7.
Müller, Stefan C., Elisenda Feliu, Georg Regensburger, et al.. (2015). Sign Conditions for Injectivity of Generalized Polynomial Maps with Applications to Chemical Reaction Networks and Real Algebraic Geometry. Foundations of Computational Mathematics. 16(1). 69–97. 51 indexed citations
8.
Flockerzi, Dietrich, et al.. (2014). N-site Phosphorylation Systems with 2N-1 Steady States. Bulletin of Mathematical Biology. 76(8). 1892–1916. 14 indexed citations
9.
Conradi, Carsten & Anne Shiu. (2014). A Global Convergence Result for Processive Multisite Phosphorylation Systems. Bulletin of Mathematical Biology. 77(1). 126–155. 25 indexed citations
10.
Flockerzi, Dietrich, et al.. (2013). Multistationarity in Sequential Distributed Multisite Phosphorylation Networks. Bulletin of Mathematical Biology. 75(11). 2028–2058. 15 indexed citations
11.
Straube, Ronny & Carsten Conradi. (2013). Reciprocal enzyme regulation as a source of bistability in covalent modification cycles. Journal of Theoretical Biology. 330. 56–74. 9 indexed citations
12.
13.
Millán, Mercedes Pérez, Alicia Dickenstein, Anne Shiu, & Carsten Conradi. (2011). Chemical Reaction Systems with Toric Steady States. Bulletin of Mathematical Biology. 74(5). 1027–1065. 65 indexed citations
14.
Conradi, Carsten & Dietrich Flockerzi. (2011). Multistationarity in mass action networks with applications to ERK activation. Journal of Mathematical Biology. 65(1). 107–156. 24 indexed citations
15.
Sáez-Rodríguez, Julio, et al.. (2008). Multistability of signal transduction motifs. IET Systems Biology. 2(2). 80–93. 10 indexed citations
16.
Conradi, Carsten, Dietrich Flockerzi, & Jörg Raisch. (2007). Multistationarity in the activation of a MAPK: Parametrizing the relevant region in parameter space. Mathematical Biosciences. 211(1). 105–131. 38 indexed citations
17.
Conradi, Carsten, Dietrich Flockerzi, Jörg Raisch, & Jörg Stelling. (2007). Subnetwork analysis reveals dynamic features of complex (bio)chemical networks. Proceedings of the National Academy of Sciences. 104(49). 19175–19180. 71 indexed citations
18.
Conradi, Carsten, Dietrich Flockerzi, & Jörg Raisch. (2007). Saddle-node bifurcations in biochemical reaction networks with mass action kinetics and application to a double-phosphorylation mechanism. Proceedings of the ... American Control Conference. 6103–6109. 4 indexed citations
19.
Conradi, Carsten, Julio Sáez-Rodríguez, E. D. Gilles, & Jörg Raisch. (2006). Chemical Reaction Network Theory: a tool for systems biology. Max Planck Institute for Plasma Physics. 2-1–2-9. 5 indexed citations
20.
Conradi, Carsten, Julio Sáez-Rodríguez, E. D. Gilles, & Jörg Raisch. (2005). Using chemical reaction network theory to discard a kinetic mechanism hypothesis. PubMed. 152(4). 243–243. 41 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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