Peter F. Doubleday

828 total citations
23 papers, 561 citations indexed

About

Peter F. Doubleday is a scholar working on Molecular Biology, Materials Chemistry and Spectroscopy. According to data from OpenAlex, Peter F. Doubleday has authored 23 papers receiving a total of 561 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Molecular Biology, 9 papers in Materials Chemistry and 7 papers in Spectroscopy. Recurrent topics in Peter F. Doubleday's work include Enzyme Structure and Function (9 papers), Amino Acid Enzymes and Metabolism (6 papers) and Advanced Proteomics Techniques and Applications (6 papers). Peter F. Doubleday is often cited by papers focused on Enzyme Structure and Function (9 papers), Amino Acid Enzymes and Metabolism (6 papers) and Advanced Proteomics Techniques and Applications (6 papers). Peter F. Doubleday collaborates with scholars based in United States, Switzerland and Brazil. Peter F. Doubleday's co-authors include Neil L. Kelleher, Luca Fornelli, Ryan T. Fellers, Kenneth R. Durbin, Rafael D. Melani, Henrique S. Seckler, Philip D. Compton, Masashi Narita, Kristina Srzentić and Luis F. Schachner and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of the American Chemical Society and Nature Communications.

In The Last Decade

Peter F. Doubleday

22 papers receiving 560 citations

Peers

Peter F. Doubleday
Nick Tomczyk United Kingdom
Rachel A. Garlish United Kingdom
David Pirman United States
Martin J. Voorbach United States
Jeong Hwa Lee South Korea
Seungjin Na South Korea
Melanie Leveridge United Kingdom
Nick Tomczyk United Kingdom
Peter F. Doubleday
Citations per year, relative to Peter F. Doubleday Peter F. Doubleday (= 1×) peers Nick Tomczyk

Countries citing papers authored by Peter F. Doubleday

Since Specialization
Citations

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

Fields of papers citing papers by Peter F. Doubleday

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Peter F. Doubleday. 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 Peter F. Doubleday. The network helps show where Peter F. Doubleday may publish in the future.

Co-authorship network of co-authors of Peter F. Doubleday

This figure shows the co-authorship network connecting the top 25 collaborators of Peter F. Doubleday. A scholar is included among the top collaborators of Peter F. Doubleday 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 Peter F. Doubleday. Peter F. Doubleday 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.
Dunlop, Elaine A., Peter F. Doubleday, Tijs Claessens, et al.. (2025). Characterizing the tumor suppressor activity of FLCN in Birt-Hogg-Dubé syndrome cell models through transcriptomic and proteomic analysis. Oncogene. 44(23). 1833–1843. 1 indexed citations
2.
Doubleday, Peter F., et al.. (2025). Multi-omics analysis reveals metabolic diversity underlying endothelial cell functions. Life Science Alliance. 9(3). e202503526–e202503526.
3.
Shen, Sida, Gláucio Monteiro Ferreira, Peter F. Doubleday, et al.. (2023). Structural and Mechanistic Basis for the Inactivation of Human Ornithine Aminotransferase by (3S,4S)-3-Amino-4-fluorocyclopentenecarboxylic Acid. Molecules. 28(3). 1133–1133. 1 indexed citations
4.
Doubleday, Peter F., et al.. (2023). Genomic footprinting uncovers global transcription factor responses to amino acids in Escherichia coli. Cell Systems. 14(10). 860–871.e4. 5 indexed citations
5.
Doubleday, Peter F., et al.. (2023). Non-enzymatic acetylation inhibits glycolytic enzymes in Escherichia coli. Cell Reports. 42(1). 111950–111950. 14 indexed citations
6.
Doubleday, Peter F., et al.. (2022). Dynamic metabolome profiling uncovers potential TOR signaling genes. eLife. 12. 2 indexed citations
8.
Zhu, Wei, Peter F. Doubleday, Pathum M. Weerawarna, et al.. (2021). Remarkable and Unexpected Mechanism for (S)-3-Amino-4-(difluoromethylenyl)cyclohex-1-ene-1-carboxylic Acid as a Selective Inactivator of Human Ornithine Aminotransferase. Journal of the American Chemical Society. 143(21). 8193–8207. 13 indexed citations
9.
Shen, Sida, Peter F. Doubleday, Rafael D. Melani, et al.. (2021). Turnover and Inactivation Mechanisms for (S)-3-Amino-4,4-difluorocyclopent-1-enecarboxylic Acid, a Selective Mechanism-Based Inactivator of Human Ornithine Aminotransferase. Journal of the American Chemical Society. 143(23). 8689–8703. 9 indexed citations
10.
Doubleday, Peter F., Aarti Krishnan, Nathan I Johns, et al.. (2021). Extensive regulation of enzyme activity by phosphorylation in Escherichia coli. Nature Communications. 12(1). 5650–5650. 29 indexed citations
11.
Doubleday, Peter F., Luca Fornelli, Ioanna Ntai, & Neil L. Kelleher. (2021). Oncogenic KRAS creates an aspartate metabolism signature in colorectal cancer cells. FEBS Journal. 288(23). 6683–6699. 14 indexed citations
12.
Zhu, Wei, Peter F. Doubleday, Pathum M. Weerawarna, et al.. (2020). A Remarkable Difference That One Fluorine Atom Confers on the Mechanisms of Inactivation of Human Ornithine Aminotransferase by Two Cyclohexene Analogues of γ-Aminobutyric Acid. Journal of the American Chemical Society. 142(10). 4892–4903. 25 indexed citations
13.
Shen, Sida, Peter F. Doubleday, Pathum M. Weerawarna, et al.. (2020). Mechanism-Based Design of 3-Amino-4-Halocyclopentenecarboxylic Acids as Inactivators of GABA Aminotransferase. ACS Medicinal Chemistry Letters. 11(10). 1949–1955. 10 indexed citations
14.
Doubleday, Peter F., et al.. (2019). Mechanism of Inactivation of Ornithine Aminotransferase by (1S,3S)-3-Amino-4-(hexafluoropropan-2-ylidenyl)cyclopentane-1-carboxylic Acid. Journal of the American Chemical Society. 141(27). 10711–10721. 20 indexed citations
15.
Fornelli, Luca, Kristina Srzentić, Timothy K. Toby, et al.. (2019). Thorough Performance Evaluation of 213 nm Ultraviolet Photodissociation for Top-down Proteomics. Molecular & Cellular Proteomics. 19(2). 405–420. 50 indexed citations
16.
Ntai, Ioanna, Luca Fornelli, Caroline J. DeHart, et al.. (2018). Precise characterization of KRAS4b proteoforms in human colorectal cells and tumors reveals mutation/modification cross-talk. Proceedings of the National Academy of Sciences. 115(16). 4140–4145. 77 indexed citations
17.
Skinner, Owen S., Nicole A. Haverland, Luca Fornelli, et al.. (2017). Top-down characterization of endogenous protein complexes with native proteomics. Nature Chemical Biology. 14(1). 36–41. 125 indexed citations
18.
Compton, Philip D., Owen S. Skinner, Nicole A. Haverland, et al.. (2017). Native Proteomics: A New Approach to Protein Complex Discovery and Characterization. The FASEB Journal. 31(S1). 2 indexed citations
19.
Durbin, Kenneth R., Luca Fornelli, Ryan T. Fellers, et al.. (2016). Quantitation and Identification of Thousands of Human Proteoforms below 30 kDa. Journal of Proteome Research. 15(3). 976–982. 88 indexed citations
20.
Alayev, Anya, et al.. (2014). Phosphoproteomics Reveals Resveratrol-Dependent Inhibition of Akt/mTORC1/S6K1 Signaling. Journal of Proteome Research. 13(12). 5734–5742. 31 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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