Jörg Stelling

8.4k total citations · 3 hit papers
88 papers, 5.3k citations indexed

About

Jörg Stelling is a scholar working on Molecular Biology, Plant Science and Endocrine and Autonomic Systems. According to data from OpenAlex, Jörg Stelling has authored 88 papers receiving a total of 5.3k indexed citations (citations by other indexed papers that have themselves been cited), including 75 papers in Molecular Biology, 9 papers in Plant Science and 8 papers in Endocrine and Autonomic Systems. Recurrent topics in Jörg Stelling's work include Gene Regulatory Network Analysis (56 papers), Microbial Metabolic Engineering and Bioproduction (38 papers) and Bioinformatics and Genomic Networks (28 papers). Jörg Stelling is often cited by papers focused on Gene Regulatory Network Analysis (56 papers), Microbial Metabolic Engineering and Bioproduction (38 papers) and Bioinformatics and Genomic Networks (28 papers). Jörg Stelling collaborates with scholars based in Switzerland, Germany and United States. Jörg Stelling's co-authors include Steffen Klamt, Ernst Dieter Gilles, Uwe Sauer, Zoltán Szállási, Francis J. Doyle, Martin Fussenegger, John C. Doyle, Marco Terzer, Tatiana T. Marquez‐Lago and Katja Bettenbrock and has published in prestigious journals such as Nature, Science and Cell.

In The Last Decade

Jörg Stelling

88 papers receiving 5.1k citations

Hit Papers

Robustness of Cellular Functions 2002 2026 2010 2018 2004 2002 2019 250 500 750

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jörg Stelling Switzerland 31 4.4k 812 624 316 263 88 5.3k
Frank J. Bruggeman Netherlands 38 4.0k 0.9× 538 0.7× 712 1.1× 196 0.6× 246 0.9× 124 4.9k
Timothy S. Gardner United States 16 5.8k 1.3× 698 0.9× 1.3k 2.0× 261 0.8× 285 1.1× 28 6.9k
Edda Klipp Germany 39 4.4k 1.0× 495 0.6× 358 0.6× 362 1.1× 264 1.0× 161 5.4k
Markus W. Covert United States 38 5.6k 1.3× 1.3k 1.6× 742 1.2× 249 0.8× 219 0.8× 74 8.0k
Diego di Bernardo Italy 41 5.3k 1.2× 301 0.4× 610 1.0× 168 0.5× 875 3.3× 143 7.2k
Wolfram Liebermeister Germany 30 4.4k 1.0× 684 0.8× 752 1.2× 217 0.7× 175 0.7× 59 5.3k
Hana El‐Samad United States 35 3.7k 0.8× 399 0.5× 514 0.8× 299 0.9× 128 0.5× 78 4.7k
Ronan M. T. Fleming Luxembourg 34 4.5k 1.0× 2.1k 2.6× 297 0.5× 123 0.4× 181 0.7× 71 6.2k
Tomer Shlomi Israel 40 7.0k 1.6× 1.1k 1.3× 385 0.6× 269 0.9× 509 1.9× 68 8.4k
Jacky L. Snoep Netherlands 36 4.5k 1.0× 763 0.9× 574 0.9× 214 0.7× 176 0.7× 155 5.7k

Countries citing papers authored by Jörg Stelling

Since Specialization
Citations

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

Fields of papers citing papers by Jörg Stelling

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jörg Stelling

This figure shows the co-authorship network connecting the top 25 collaborators of Jörg Stelling. A scholar is included among the top collaborators of Jörg Stelling 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 Jörg Stelling. Jörg Stelling 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.
Ramon, Charlotte & Jörg Stelling. (2023). Functional comparison of metabolic networks across species. Nature Communications. 14(1). 1699–1699. 9 indexed citations
2.
Stelling, Jörg, et al.. (2023). Assumptions on decision making and environment can yield multiple steady states in microbial community models. BMC Bioinformatics. 24(S1). 262–262. 2 indexed citations
3.
Kaltenbach, Hans‐Michael, et al.. (2023). Efficient design of synthetic gene circuits under cell-to-cell variability. BMC Bioinformatics. 24(S1). 460–460. 1 indexed citations
4.
Chen, Xiuzhen, Didier Portran, Dimitris Liakopoulos, et al.. (2023). The motor domain of the kinesin Kip2 promotes microtubule polymerization at microtubule tips. The Journal of Cell Biology. 222(7). 4 indexed citations
5.
Stelling, Jörg, et al.. (2022). Metabolic Networks, Microbial Consortia, and Analogies to Smart Grids. Proceedings of the IEEE. 110(5). 541–556. 4 indexed citations
6.
Syedbasha, Mohammedyaseen, et al.. (2022). Model-based inference of neutralizing antibody avidities against influenza virus. PLoS Pathogens. 18(1). e1010243–e1010243. 3 indexed citations
7.
Ponti, Aaron, et al.. (2022). Cell region fingerprints enable highly precise single-cell tracking and lineage reconstruction. Nature Methods. 19(10). 1276–1285. 12 indexed citations
8.
Farcas, Ana-Maria, Anil Kumar, Mahdiye Ijavi, et al.. (2022). Multivalency ensures persistence of a +TIP body at specialized microtubule ends. Nature Cell Biology. 25(1). 56–67. 24 indexed citations
9.
Ramon, Charlotte, et al.. (2022). Cellular and computational models reveal environmental and metabolic interactions in MMUT‐type methylmalonic aciduria. Journal of Inherited Metabolic Disease. 46(3). 421–435. 5 indexed citations
10.
Lormeau, Claude, Fabian Rudolf, & Jörg Stelling. (2021). A rationally engineered decoder of transient intracellular signals. Nature Communications. 12(1). 1886–1886. 11 indexed citations
11.
Kaltenbach, Hans‐Michael, et al.. (2021). Probabilistic thermodynamic analysis of metabolic networks. Bioinformatics. 37(18). 2938–2945. 15 indexed citations
12.
Nöh, Katharina, et al.. (2021). PolyRound: polytope rounding for random sampling in metabolic networks. Bioinformatics. 38(2). 566–567. 7 indexed citations
13.
Rybiński, Mikołaj, Simon Geir Møller, Mikael Sunnåker, Claude Lormeau, & Jörg Stelling. (2020). TopoFilter: a MATLAB package for mechanistic model identification in systems biology. BMC Bioinformatics. 21(1). 34–34. 3 indexed citations
14.
Stelling, Jörg, et al.. (2020). Efficient manipulation and generation of Kirchhoff polynomials for the analysis of non-equilibrium biochemical reaction networks. Journal of The Royal Society Interface. 17(165). 20190828–20190828. 4 indexed citations
15.
Øyås, Ove, Sònia Borrell, Andrej Trauner, et al.. (2020). Model-based integration of genomics and metabolomics reveals SNP functionality in Mycobacterium tuberculosis. Proceedings of the National Academy of Sciences. 117(15). 8494–8502. 23 indexed citations
16.
Chen, Xiuzhen, et al.. (2019). Remote control of microtubule plus-end dynamics and function from the minus-end. eLife. 8. 16 indexed citations
17.
Stelling, Jörg, et al.. (2019). Controlling cell-to-cell variability with synthetic gene circuits. Biochemical Society Transactions. 47(6). 1795–1804. 3 indexed citations
18.
Etzrodt, Martin, Nouraiz Ahmed, Philipp S. Hoppe, et al.. (2018). Inflammatory signals directly instruct PU.1 in HSCs via TNF. Blood. 133(8). 816–819. 51 indexed citations
19.
Rudolf, Fabian, et al.. (2018). Automated Planning Enables Complex Protocols on Liquid-Handling Robots. ACS Synthetic Biology. 7(3). 922–932. 14 indexed citations
20.
Lormeau, Claude, et al.. (2017). Computational design of biological circuits: putting parts into context. Molecular Systems Design & Engineering. 2(4). 410–421. 16 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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