Jonathan Parkinson

880 total citations
25 papers, 540 citations indexed

About

Jonathan Parkinson is a scholar working on Molecular Biology, Animal Science and Zoology and Molecular Medicine. According to data from OpenAlex, Jonathan Parkinson has authored 25 papers receiving a total of 540 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Molecular Biology, 7 papers in Animal Science and Zoology and 5 papers in Molecular Medicine. Recurrent topics in Jonathan Parkinson's work include Antibiotic Resistance in Bacteria (5 papers), Animal Nutrition and Physiology (5 papers) and vaccines and immunoinformatics approaches (4 papers). Jonathan Parkinson is often cited by papers focused on Antibiotic Resistance in Bacteria (5 papers), Animal Nutrition and Physiology (5 papers) and vaccines and immunoinformatics approaches (4 papers). Jonathan Parkinson collaborates with scholars based in United States, Australia and Belgium. Jonathan Parkinson's co-authors include E.A. Sauter, Mojgan Sabet, Ziad Tarazi, Michael N. Dudley, David C. Griffith, C.F. Petersen, Debora Rubio-Aparicio, Ryan Hard, Olga Lomovskaya and Scott J. Hecker and has published in prestigious journals such as Nature, Nature Communications and Bioinformatics.

In The Last Decade

Jonathan Parkinson

24 papers receiving 503 citations

Peers

Jonathan Parkinson

PHARM

EPIDE

ASZ

M P Draper United States

Jianan Ning China

J Vliegenthart Netherlands

G. Seltmann Germany

Marcela Gómez Colombia

Kamel Alhanout France

G Semjén Hungary

Christopher S. Lunde United States

Zekun Li China

M P Draper United States

Jonathan Parkinson

90 ×0.5

202 ×1.3

123 ×1.0

PHARM

92 ×1.0

EPIDE

10 ×0.1

ASZ

Citations per year, relative to Jonathan Parkinson Jonathan Parkinson (= 1×) peers M P Draper

Countries citing papers authored by Jonathan Parkinson

Since Specialization

Citations

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

Fields of papers citing papers by Jonathan Parkinson

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jonathan Parkinson

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

All Works

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20 of 20 papers shown

Parkinson, Jonathan, et al.. (2025). RESP2: An Uncertainty Aware Multi‐Target Multi‐Property Optimization AI Pipeline for Antibody Discovery. Advanced Science. 12(38). e04350–e04350.

Parkinson, Jonathan & Wei Wang. (2024). For antibody sequence generative modeling, mixture models may be all you need. Bioinformatics. 40(5). 5 indexed citations

Parkinson, Jonathan, et al.. (2024). TUnA: an uncertainty-aware transformer model for sequence-based protein–protein interaction prediction. Briefings in Bioinformatics. 25(5). 12 indexed citations

Parkinson, Jonathan, Ryan Hard, & Wei Wang. (2023). The RESP AI model accelerates the identification of tight-binding antibodies. Nature Communications. 14(1). 454–454. 26 indexed citations

Parkinson, Jonathan & Wei Wang. (2023). Linear-Scaling Kernels for Protein Sequences and Small Molecules Outperform Deep Learning While Providing Uncertainty Quantitation and Improved Interpretability. Journal of Chemical Information and Modeling. 63(15). 4589–4601. 6 indexed citations

Parkinson, Jonathan, Ryan Hard, Richard I. Ainsworth, & Wei Wang. (2022). Engineering human JMJD2A tudor domains for an improved understanding of histone peptide recognition. Proteins Structure Function and Bioinformatics. 91(1). 32–46. 2 indexed citations

Hajian, Reza, et al.. (2021). Rapid and Electronic Identification and Quantification of Age‐Specific Circulating Exosomes via Biologically Activated Graphene Transistors. Advanced Biology. 5(7). e2000594–e2000594. 18 indexed citations

Lu, Hsiang‐Wei, Alexander A. Kane, Jonathan Parkinson, et al.. (2021). The promise of graphene-based transistors for democratizing multiomics studies. Biosensors and Bioelectronics. 195. 113605–113605. 32 indexed citations

Reddy, K. Raja, Jonathan Parkinson, Mojgan Sabet, et al.. (2021). Selection of QPX7831, an Orally Bioavailable Prodrug of Boronic Acid β-Lactamase Inhibitor QPX7728. Journal of Medicinal Chemistry. 64(23). 17523–17529. 16 indexed citations

10.

Hecker, Scott J., K. Raja Reddy, Olga Lomovskaya, et al.. (2020). Discovery of Cyclic Boronic Acid QPX7728, an Ultrabroad-Spectrum Inhibitor of Serine and Metallo-β-lactamases. Journal of Medicinal Chemistry. 63(14). 7491–7507. 158 indexed citations

11.

Parkinson, Jonathan, Ryan Hard, Richard I. Ainsworth, Nan Li, & Wei Wang. (2020). Engineering a Histone Reader Protein by Combining Directed Evolution, Sequencing, and Neural Network Based Ordinal Regression. Journal of Chemical Information and Modeling. 60(8). 3992–4004. 7 indexed citations

12.

Sabet, Mojgan, Ziad Tarazi, Thomas G. Nolan, et al.. (2017). Activity of Meropenem-Vaborbactam in Mouse Models of Infection Due to KPC-Producing Carbapenem-Resistant Enterobacteriaceae. Antimicrobial Agents and Chemotherapy. 62(1). 36 indexed citations

13.

PEET, R. L., et al.. (1992). Swinepox in pigs in northern Western Australia. Australian Veterinary Journal. 69(4). 99–99. 10 indexed citations

14.

Hunt, C. W., et al.. (1989). The Delivery of Cottonseed Meal at Three Different Time Intervals to Steers Fed Low-Quality Grass Hay: Effects on Digestion and Performance. Journal of Animal Science. 67(5). 1360–1360. 36 indexed citations

15.

Sauter, E.A., et al.. (1985). The Lactic Acid and Volatile Fatty Acid Content and In Vitro Organic Matter Digestibility of Silages Made from Potato Processing Residues and Barley Straw. Journal of Animal Science. 60(5). 1087–1094. 7 indexed citations

16.

Petersen, C.F., et al.. (1983). Use of Methionine Intake Restriction to Improve Egg Shell Quality by Control of Egg Weight. Poultry Science. 62(10). 2044–2047. 27 indexed citations

17.

Sauter, E.A., et al.. (1981). Microbial buildup in air and dust during brooding and rearing of chickens. Poultry Science. 60(7). 1724. 1 indexed citations

18.

Sauter, E.A., et al.. (1979). EFFECT OF CARCASS WEIGHT AND FAT THICKNESS OF LAMB CARCASSES ON SURFACE BACTERIA COUNTS. Journal of Food Science. 44(5). 1430–1431. 10 indexed citations

19.

Sauter, E.A., C.F. Petersen, & Jonathan Parkinson. (1978). Microfloral Comparison of Fresh and Thawed Frozen Fryers. Poultry Science. 57(2). 422–424. 2 indexed citations

20.

Adams, Alexandra, Jonathan Parkinson, H.W. Reading, et al.. (1960). Sulphasomizole (5-p-Aminobenzenesulphonamido-3-Methylisothiazole): A New Antibacterial Sulphonamide. Nature. 186(4720). 221–222. 19 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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