Johann M. Rohwer

3.7k total citations
79 papers, 2.4k citations indexed

About

Johann M. Rohwer is a scholar working on Molecular Biology, Plant Science and Biomedical Engineering. According to data from OpenAlex, Johann M. Rohwer has authored 79 papers receiving a total of 2.4k indexed citations (citations by other indexed papers that have themselves been cited), including 62 papers in Molecular Biology, 12 papers in Plant Science and 11 papers in Biomedical Engineering. Recurrent topics in Johann M. Rohwer's work include Microbial Metabolic Engineering and Bioproduction (30 papers), Protein Structure and Dynamics (13 papers) and Gene Regulatory Network Analysis (12 papers). Johann M. Rohwer is often cited by papers focused on Microbial Metabolic Engineering and Bioproduction (30 papers), Protein Structure and Dynamics (13 papers) and Gene Regulatory Network Analysis (12 papers). Johann M. Rohwer collaborates with scholars based in South Africa, Netherlands and Germany. Johann M. Rohwer's co-authors include Jan‐Hendrik S. Hofmeyr, Frederik C. Botha, Hans V. Westerhoff, Ché S. Pillay, Pieter W. Postma, Brett G. Olivier, Björn Usadel, Yves Gibon, Mark Stitt and Jacky L. Snoep and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and SHILAP Revista de lepidopterología.

In The Last Decade

Johann M. Rohwer

79 papers receiving 2.4k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Johann M. Rohwer South Africa 28 1.7k 624 315 224 119 79 2.4k
Kate Campbell Sweden 21 1.9k 1.1× 265 0.4× 261 0.8× 182 0.8× 208 1.7× 32 2.8k
Michael C. Walsh Netherlands 22 2.2k 1.3× 329 0.5× 409 1.3× 148 0.7× 102 0.9× 28 2.7k
Dong Li China 28 2.0k 1.2× 249 0.4× 135 0.4× 203 0.9× 98 0.8× 124 3.3k
Jeramie D. Watrous United States 28 2.3k 1.3× 434 0.7× 242 0.8× 211 0.9× 137 1.2× 66 3.8k
Akihiro Yamamoto Japan 33 1.2k 0.7× 617 1.0× 97 0.3× 113 0.5× 70 0.6× 202 3.8k
Yuting Chen Taiwan 27 1.4k 0.8× 840 1.3× 93 0.3× 258 1.2× 56 0.5× 128 2.5k
Warren Casey United States 30 994 0.6× 260 0.4× 225 0.7× 207 0.9× 54 0.5× 78 2.9k
Hisham K. Hamadeh United States 25 2.0k 1.2× 254 0.4× 128 0.4× 421 1.9× 82 0.7× 51 3.7k

Countries citing papers authored by Johann M. Rohwer

Since Specialization
Citations

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

Fields of papers citing papers by Johann M. Rohwer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Johann M. Rohwer. 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 Johann M. Rohwer. The network helps show where Johann M. Rohwer may publish in the future.

Co-authorship network of co-authors of Johann M. Rohwer

This figure shows the co-authorship network connecting the top 25 collaborators of Johann M. Rohwer. A scholar is included among the top collaborators of Johann M. Rohwer 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 Johann M. Rohwer. Johann M. Rohwer 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.
Blažević, Zvjezdana Findrik, Katrin Rosenthal, John M. Woodley, et al.. (2024). The STRENDA Biocatalysis Guidelines for cataloguing metadata. Nature Catalysis. 7(12). 1245–1249. 6 indexed citations
2.
Barry, Christopher J., Ché S. Pillay, & Johann M. Rohwer. (2024). Direct fitting improves the accuracy of the horse radish peroxidase competition assay for peroxidase activity. SHILAP Revista de lepidopterología. 8. 100025–100025. 2 indexed citations
3.
Pillay, Ché S., et al.. (2023). Atypical network topologies enhance the reductive capacity of pathogen thiol antioxidant defense networks. Redox Biology. 65. 102802–102802. 1 indexed citations
4.
Lackus, Nathalie D., Tobias G. Köllner, T. Klüpfel, et al.. (2023). HDR, the last enzyme in the MEP pathway, differently regulates isoprenoid biosynthesis in two woody plants. PLANT PHYSIOLOGY. 192(2). 767–788. 17 indexed citations
5.
Deane, Shelly M., et al.. (2021). Manganese Privation-Induced Transcriptional Upregulation of the Class IIa Bacteriocin Plantaricin 423 in Lactobacillus plantarum Strain 423. Applied and Environmental Microbiology. 87(21). e0097621–e0097621. 9 indexed citations
6.
Barry, Christopher J., et al.. (2019). Workflow for Data Analysis in Experimental and Computational Systems Biology: Using Python as ‘Glue’. Processes. 7(7). 460–460. 7 indexed citations
7.
Halling, Peter J., Paul F. Fitzpatrick, Frank M. Raushel, et al.. (2018). An empirical analysis of enzyme function reporting for experimental reproducibility: Missing/incomplete information in published papers. Biophysical Chemistry. 242. 22–27. 20 indexed citations
8.
Hofmeyr, Jan‐Hendrik S., et al.. (2017). PySCeSToolbox: a collection of metabolic pathway analysis tools. Bioinformatics. 34(1). 124–125. 11 indexed citations
9.
Wright, Louwrance P., Johann M. Rohwer, Andrea Ghirardo, et al.. (2014). Deoxyxylulose 5-Phosphate Synthase Controls Flux through the Methylerythritol 4-Phosphate Pathway in Arabidopsis. PLANT PHYSIOLOGY. 165(4). 1488–1504. 143 indexed citations
10.
Pillay, Ché S., et al.. (2012). From Top-Down to Bottom-Up: Computational Modeling Approaches for Cellular Redoxin Networks. Antioxidants and Redox Signaling. 18(16). 2075–2086. 22 indexed citations
11.
Niekerk, David D. van, et al.. (2012). From steady‐state to synchronized yeast glycolytic oscillations I: model construction. FEBS Journal. 279(16). 2810–2822. 28 indexed citations
12.
Rohwer, Johann M. & Jan‐Hendrik S. Hofmeyr. (2007). Identifying and characterising regulatory metabolites with generalised supply–demand analysis. Journal of Theoretical Biology. 252(3). 546–554. 17 indexed citations
13.
Botha, Frederik C., et al.. (2007). Kinetic model of sucrose accumulation in maturing sugarcane culm tissue. Phytochemistry. 68(16-18). 2375–2392. 78 indexed citations
14.
Millat, Thomas, Eric Bullinger, Johann M. Rohwer, & Olaf Wolkenhauer. (2006). Approximations and their consequences for dynamic modelling of signal transduction pathways. Mathematical Biosciences. 207(1). 40–57. 28 indexed citations
15.
Hofmeyr, Jan, et al.. (2006). Experimental evidence for allosteric modifier saturation as predicted by the bi-substrate Hill equation. PubMed. 153(5). 342–342. 5 indexed citations
16.
Hofmeyr, Jan, Johann M. Rohwer, Jacky L. Snoep, Hans V. Westerhoff, & Wil N. Konings. (2002). How to Distinguish Between the Vacuum Cleaner and Flippase Mechanisms of the LmrA Multi-drug Transporter in Lactococcus Lactis. Molecular Biology Reports. 29(1-2). 107–112. 4 indexed citations
17.
Westerhoff, Hans V., Wayne M. Getz, Frank J. Bruggeman, et al.. (2002). ECA: Control in Ecosystems. Molecular Biology Reports. 29(1-2). 113–117. 3 indexed citations
18.
Rohwer, Johann M., Pieter W. Postma, Boris Ν. Kholodenko, & Hans V. Westerhoff. (1998). Implications of macromolecular crowding for signal transduction and metabolite channeling. Proceedings of the National Academy of Sciences. 95(18). 10547–10552. 89 indexed citations
19.
Rohwer, Johann M., Rechien Bader, Hans V. Westerhoff, & Pieter W. Postma. (1998). Limits to inducer exclusion: inhibition of the bacterial phosphotransferase system by glycerol kinase. Molecular Microbiology. 29(2). 641–652. 10 indexed citations
20.
Rohwer, Johann M., Stefan Schuster, & Hans V. Westerhoff. (1996). How to Recognize Monofunctional Units in a Metabolic System. Journal of Theoretical Biology. 179(3). 213–228. 49 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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