Jan Schellenberger

5.6k total citations · 1 hit paper
16 papers, 2.9k citations indexed

About

Jan Schellenberger is a scholar working on Molecular Biology, Biomedical Engineering and Cancer Research. According to data from OpenAlex, Jan Schellenberger has authored 16 papers receiving a total of 2.9k indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Molecular Biology, 3 papers in Biomedical Engineering and 2 papers in Cancer Research. Recurrent topics in Jan Schellenberger's work include Microbial Metabolic Engineering and Bioproduction (13 papers), Gene Regulatory Network Analysis (7 papers) and Bioinformatics and Genomic Networks (6 papers). Jan Schellenberger is often cited by papers focused on Microbial Metabolic Engineering and Bioproduction (13 papers), Gene Regulatory Network Analysis (7 papers) and Bioinformatics and Genomic Networks (6 papers). Jan Schellenberger collaborates with scholars based in United States, Iceland and Denmark. Jan Schellenberger's co-authors include Bernhard Ø. Palsson, Nathan E. Lewis, Aarash Bordbar, Daniel C. Zielinski, Adam M. Feist, Jeffrey D. Orth, Ronan M. T. Fleming, Ines Thiele, Richard Que and Daniel R. Hyduke and has published in prestigious journals such as Journal of Biological Chemistry, Journal of Clinical Oncology and Nature Biotechnology.

In The Last Decade

Jan Schellenberger

16 papers receiving 2.9k citations

Hit Papers

Quantitative prediction of cellular metabolism with const... 2011 2026 2016 2021 2011 400 800 1.2k

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jan Schellenberger United States 13 2.7k 986 208 137 135 16 2.9k
Daniel C. Zielinski United States 18 2.3k 0.9× 817 0.8× 180 0.9× 191 1.4× 108 0.8× 45 2.6k
Joshua A. Lerman United States 14 3.8k 1.4× 1.3k 1.3× 491 2.4× 161 1.2× 167 1.2× 15 4.1k
Iman Famili United States 15 2.3k 0.9× 780 0.8× 129 0.6× 68 0.5× 72 0.5× 15 2.5k
Monica L. Mo United States 8 2.1k 0.8× 588 0.6× 120 0.6× 53 0.4× 67 0.5× 8 2.3k
Andreas Dräger Germany 23 2.1k 0.8× 492 0.5× 181 0.9× 108 0.8× 58 0.4× 75 2.4k
Christophe H. Schilling United States 21 4.8k 1.8× 1.7k 1.7× 378 1.8× 193 1.4× 271 2.0× 23 5.1k
Eduard J. Kerkhoven Sweden 28 2.6k 1.0× 1.1k 1.1× 70 0.3× 130 0.9× 39 0.3× 68 3.0k
Katharina Nöh Germany 26 1.9k 0.7× 438 0.4× 117 0.6× 60 0.4× 66 0.5× 83 2.2k
Tom M Conrad United States 9 2.2k 0.8× 692 0.7× 613 2.9× 78 0.6× 84 0.6× 11 2.5k
Jeffrey D. Orth United States 9 5.2k 1.9× 2.0k 2.0× 520 2.5× 308 2.2× 312 2.3× 10 5.6k

Countries citing papers authored by Jan Schellenberger

Since Specialization
Citations

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

Fields of papers citing papers by Jan Schellenberger

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jan Schellenberger

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

All Works

16 of 16 papers shown
1.
Liu, Qin‐Wen, Rita Shaknovich, Xiaoji Chen, et al.. (2020). Abstract 139: cfDNA methylation profiling distinguishes lineage-specific hematologic malignancies. Cancer Research. 80(16_Supplement). 139–139. 1 indexed citations
2.
Liu, Minetta C., Arash Jamshidi, Oliver Venn, et al.. (2019). Genome-wide cell-free DNA (cfDNA) methylation signatures and effect on tissue of origin (TOO) performance.. Journal of Clinical Oncology. 37(15_suppl). 3049–3049. 16 indexed citations
3.
Bordbar, Aarash, Harish Nagarajan, Nathan E. Lewis, et al.. (2014). Minimal metabolic pathway structure is consistent with associated biomolecular interactions. Molecular Systems Biology. 10(7). 737–737. 33 indexed citations
4.
Schellenberger, Jan, Daniel C. Zielinski, Vasiliy A. Portnoy, et al.. (2012). Predicting outcomes of steady-state 13C isotope tracing experiments using Monte Carlo sampling. BMC Systems Biology. 6(1). 9–9. 28 indexed citations
5.
Schellenberger, Jan, Nathan E. Lewis, & Bernhard Ø. Palsson. (2011). Correction. Biophysical Journal. 100(5). 1381–1381. 2 indexed citations
6.
Schellenberger, Jan, Nathan E. Lewis, & Bernhard Ø. Palsson. (2011). Elimination of Thermodynamically Infeasible Loops in Steady-State Metabolic Models. Biophysical Journal. 100(3). 544–553. 145 indexed citations
7.
Schellenberger, Jan, Richard Que, Ronan M. T. Fleming, et al.. (2011). Quantitative prediction of cellular metabolism with constraint-based models: the COBRA Toolbox v2.0. Nature Protocols. 6(9). 1290–1307. 1340 indexed citations breakdown →
8.
Hyduke, Daniel R., Jan Schellenberger, Richard Que, et al.. (2011). COBRA Toolbox 2.0. Protocol Exchange. 31 indexed citations
9.
Lewis, Nathan E., Gunnar Schramm, Aarash Bordbar, et al.. (2010). Large-scale in silico modeling of metabolic interactions between cell types in the human brain. Nature Biotechnology. 28(12). 1279–1285. 197 indexed citations
10.
Bordbar, Aarash, Nathan E. Lewis, Jan Schellenberger, Bernhard Ø. Palsson, & Neema Jamshidi. (2010). Insight into human alveolar macrophage and M. tuberculosis interactions via metabolic reconstructions. Molecular Systems Biology. 6(1). 422–422. 202 indexed citations
11.
Schellenberger, Jan, Junyoung O. Park, Tom M Conrad, & Bernhard Ø. Palsson. (2010). BiGG: a Biochemical Genetic and Genomic knowledgebase of large scale metabolic reconstructions. BMC Bioinformatics. 11(1). 213–213. 410 indexed citations
12.
Thiele, Ines, Ronan M. T. Fleming, Aarash Bordbar, Jan Schellenberger, & Bernhard Ø. Palsson. (2010). Functional Characterization of Alternate Optimal Solutions of Escherichia coli's Transcriptional and Translational Machinery. Biophysical Journal. 98(10). 2072–2081. 40 indexed citations
13.
Palsson, Bernhard Ø., Vineet Bafna, & Jan Schellenberger. (2010). Monte carlo simulation in systems biology. 2 indexed citations
14.
Feist, Adam M., Daniel C. Zielinski, Jeffrey D. Orth, et al.. (2009). Model-driven evaluation of the production potential for growth-coupled products of Escherichia coli. Metabolic Engineering. 12(3). 173–186. 185 indexed citations
15.
Schellenberger, Jan & Bernhard Ø. Palsson. (2008). Use of Randomized Sampling for Analysis of Metabolic Networks. Journal of Biological Chemistry. 284(9). 5457–5461. 186 indexed citations
16.
Price, Nathan D., Jan Schellenberger, & Bernhard Ø. Palsson. (2004). Uniform Sampling of Steady-State Flux Spaces: Means to Design Experiments and to Interpret Enzymopathies. Biophysical Journal. 87(4). 2172–2186. 104 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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