Jonathan L. Robinson

2.1k total citations
35 papers, 978 citations indexed

About

Jonathan L. Robinson is a scholar working on Molecular Biology, Physiology and Cellular and Molecular Neuroscience. According to data from OpenAlex, Jonathan L. Robinson has authored 35 papers receiving a total of 978 indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Molecular Biology, 6 papers in Physiology and 5 papers in Cellular and Molecular Neuroscience. Recurrent topics in Jonathan L. Robinson's work include Microbial Metabolic Engineering and Bioproduction (6 papers), Single-cell and spatial transcriptomics (5 papers) and Nitric Oxide and Endothelin Effects (4 papers). Jonathan L. Robinson is often cited by papers focused on Microbial Metabolic Engineering and Bioproduction (6 papers), Single-cell and spatial transcriptomics (5 papers) and Nitric Oxide and Endothelin Effects (4 papers). Jonathan L. Robinson collaborates with scholars based in United States, Sweden and Denmark. Jonathan L. Robinson's co-authors include Jens Nielsen, Mark P. Brynildsen, Mathias Uhlén, Johan Gustafsson, Mihail Anton, Daniel Cook, Thomas Svensson, Pınar Kocabaş, Hao Wang and Eduard J. Kerkhoven and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and PLoS ONE.

In The Last Decade

Jonathan L. Robinson

35 papers receiving 974 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jonathan L. Robinson United States 17 668 123 112 98 90 35 978
Jeremy W. Chambers United States 18 650 1.0× 138 1.1× 114 1.0× 59 0.6× 95 1.1× 36 1.2k
Anil K. Madugundu India 21 729 1.1× 104 0.8× 117 1.0× 55 0.6× 100 1.1× 58 1.3k
Fredrik Edfors Sweden 17 780 1.2× 97 0.8× 82 0.7× 103 1.1× 86 1.0× 40 1.2k
Najeeb Halabi Qatar 12 732 1.1× 59 0.5× 185 1.7× 148 1.5× 112 1.2× 25 1.1k
LeeAnn Higgins United States 23 773 1.2× 154 1.3× 75 0.7× 58 0.6× 113 1.3× 39 1.4k
Witold Wolski Switzerland 18 1.0k 1.5× 87 0.7× 112 1.0× 112 1.1× 237 2.6× 38 1.5k
Jana Zecha Germany 13 1.1k 1.6× 126 1.0× 152 1.4× 83 0.8× 65 0.7× 16 1.5k
Kam D Dahlquist United States 7 1.0k 1.5× 68 0.6× 90 0.8× 176 1.8× 78 0.9× 16 1.3k
Zhuang Li China 19 1.1k 1.7× 117 1.0× 175 1.6× 84 0.9× 81 0.9× 51 1.6k
Tejas Gandhi United States 12 1.3k 2.0× 85 0.7× 76 0.7× 67 0.7× 112 1.2× 26 1.8k

Countries citing papers authored by Jonathan L. Robinson

Since Specialization
Citations

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

Fields of papers citing papers by Jonathan L. Robinson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jonathan L. Robinson. 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 Jonathan L. Robinson. The network helps show where Jonathan L. Robinson may publish in the future.

Co-authorship network of co-authors of Jonathan L. Robinson

This figure shows the co-authorship network connecting the top 25 collaborators of Jonathan L. Robinson. A scholar is included among the top collaborators of Jonathan L. Robinson 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 Jonathan L. Robinson. Jonathan L. Robinson 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.
Gustafsson, Johan, Jonathan L. Robinson, Henrik Zetterberg, & Jens Nielsen. (2024). Brain energy metabolism is optimized to minimize the cost of enzyme synthesis and transport. Proceedings of the National Academy of Sciences. 121(7). e2305035121–e2305035121. 9 indexed citations
2.
Gustafsson, Johan, et al.. (2024). Metabolic collaboration between cells in the tumor microenvironment has a negligible effect on tumor growth. The Innovation. 5(2). 100583–100583. 6 indexed citations
3.
Gustafsson, Johan, Mihail Anton, Rebecka Jörnsten, et al.. (2023). Generation and analysis of context-specific genome-scale metabolic models derived from single-cell RNA-Seq data. Proceedings of the National Academy of Sciences. 120(6). e2217868120–e2217868120. 27 indexed citations
4.
Cansby, Emmelie, Sima Kumari, Jonathan L. Robinson, et al.. (2022). Silencing of STE20-type kinase STK25 in human aortic endothelial and smooth muscle cells is atheroprotective. Communications Biology. 5(1). 379–379. 5 indexed citations
5.
Malm, Magdalena, Noah Moruzzi, Jan Zrimec, et al.. (2022). Enhanced metabolism and negative regulation of ER stress support higher erythropoietin production in HEK293 cells. Cell Reports. 39(11). 110936–110936. 8 indexed citations
6.
Muhammad, Azam Sheikh, et al.. (2021). Machine learning-based investigation of the cancer protein secretory pathway. PLoS Computational Biology. 17(4). e1008898–e1008898. 8 indexed citations
7.
Gustafsson, Johan, Jonathan L. Robinson, Jens Nielsen, & Lior Pachter. (2021). BUTTERFLY: addressing the pooled amplification paradox with unique molecular identifiers in single-cell RNA-seq. Genome biology. 22(1). 174–174. 5 indexed citations
8.
Mathew, Nimitha R., Jonathan L. Robinson, Hannes Axelsson, et al.. (2021). Single-cell BCR and transcriptome analysis after influenza infection reveals spatiotemporal dynamics of antigen-specific B cells. Cell Reports. 35(12). 109286–109286. 69 indexed citations
9.
Jariyasopit, Narumol, Narong Nuntasaen, Jonathan L. Robinson, et al.. (2021). UPLC-ESI-MRM/MS for Absolute Quantification and MS/MS Structural Elucidation of Six Specialized Pyranonaphthoquinone Metabolites From Ventilago harmandiana. Frontiers in Plant Science. 11. 602993–602993. 12 indexed citations
10.
Gustafsson, Johan, et al.. (2020). DSAVE: Detection of misclassified cells in single-cell RNA-Seq data. PLoS ONE. 15(12). e0243360–e0243360. 1 indexed citations
11.
Azimi, Alireza, Stefano Caramuta, Brinton Seashore‐Ludlow, et al.. (2018). Targeting CDK 2 overcomes melanoma resistance against BRAF and Hsp90 inhibitors. Molecular Systems Biology. 14(3). e7858–e7858. 55 indexed citations
12.
Robinson, Jonathan L. & Mark P. Brynildsen. (2016). Discovery and dissection of metabolic oscillations in the microaerobic nitric oxide response network of Escherichia coli. Proceedings of the National Academy of Sciences. 113(12). E1757–66. 22 indexed citations
13.
Robinson, Jonathan L. & Jens Nielsen. (2016). Integrative analysis of human omics data using biomolecular networks. Molecular BioSystems. 12(10). 2953–2964. 27 indexed citations
14.
Gowers, Glen-Oliver F., Jonathan L. Robinson, & Mark P. Brynildsen. (2016). Starved Escherichia coli preserve reducing power under nitric oxide stress. Biochemical and Biophysical Research Communications. 476(1). 29–34. 6 indexed citations
15.
Robinson, Jonathan L., et al.. (2015). Pharmacological identification of cholinergic receptor subtypes on Drosophila melanogaster larval heart. Journal of Comparative Physiology B. 186(1). 45–57. 24 indexed citations
16.
Majeed, Zana R., et al.. (2015). New insights into the acute actions from a high dosage of fluoxetine on neuronal and cardiac function: Drosophila, crayfish and rodent models. Comparative Biochemistry and Physiology Part C Toxicology & Pharmacology. 176-177. 52–61. 15 indexed citations
17.
Robinson, Jonathan L., et al.. (2014). Model-driven identification of dosing regimens that maximize the antimicrobial activity of nitric oxide. Metabolic Engineering Communications. 1. 12–18. 17 indexed citations
18.
Robinson, Jonathan L., et al.. (2014). Deciphering nitric oxide stress in bacteria with quantitative modeling. Current Opinion in Microbiology. 19. 16–24. 34 indexed citations
19.
Mayeno, Arthur N., Jonathan L. Robinson, & Brad Reisfeld. (2010). Rapid estimation of activation enthalpies for cytochrome‐P450‐mediated hydroxylations. Journal of Computational Chemistry. 32(4). 639–657. 4 indexed citations
20.
Liu, Zhao, et al.. (2006). Intracellular signaling via ERK/MAPK completes the pathway for tubulogenic fibronectin in MDCK cells. Biochemical and Biophysical Research Communications. 353(3). 793–798. 13 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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