Peter C. St. John

5.6k total citations · 2 hit papers
102 papers, 3.5k citations indexed

About

Peter C. St. John is a scholar working on Molecular Biology, Political Science and International Relations and Biomedical Engineering. According to data from OpenAlex, Peter C. St. John has authored 102 papers receiving a total of 3.5k indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Molecular Biology, 18 papers in Political Science and International Relations and 14 papers in Biomedical Engineering. Recurrent topics in Peter C. St. John's work include Microbial Metabolic Engineering and Bioproduction (12 papers), Advanced Combustion Engine Technologies (11 papers) and Biofuel production and bioconversion (10 papers). Peter C. St. John is often cited by papers focused on Microbial Metabolic Engineering and Bioproduction (12 papers), Advanced Combustion Engine Technologies (11 papers) and Biofuel production and bioconversion (10 papers). Peter C. St. John collaborates with scholars based in United States, United Kingdom and Russia. Peter C. St. John's co-authors include Seonah Kim, Robert S. Paton, Yanfei Guan, Yeonjoon Kim, Oliver James, Amanda R. Murphy, David L. Kaplan, Olivier Borraz, Francis J. Doyle and Yannick J. Bomble and has published in prestigious journals such as Science, Proceedings of the National Academy of Sciences and Nature Communications.

In The Last Decade

Peter C. St. John

99 papers receiving 3.3k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Identification of Small Molecule Activators of Cryptochrome

2012 386 citations Tsuyoshi Hirota, Jae Wook Lee et al. Science profile →
Prediction of organic homolytic bond dissociation enthalpies at near chemical accuracy with sub-second computational cost

2020 238 citations Peter C. St. John, Yanfei Guan et al. Nature Communications profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Peter C. St. John United States	29	665	616	515	511	432	102	3.5k
Peter Roberts New Zealand	31	481 0.7×	648 1.1×	373 0.7×	99 0.2×	6 0.0×	259	4.6k
David Glick United States	36	425 0.6×	1.6k 2.6×	127 0.2×	72 0.1×	104 0.2×	221	5.5k
John B. Clark United Kingdom	42	383 0.6×	3.4k 5.5×	76 0.1×	86 0.2×	161 0.4×	117	8.5k
Robert K. Murray Canada	27	186 0.3×	1.2k 1.9×	83 0.2×	72 0.1×	32 0.1×	101	3.5k
John Stewart United States	35	548 0.8×	422 0.7×	188 0.4×	45 0.1×	37 0.1×	184	4.7k
Margaret L. Williams United States	28	24 0.0×	446 0.7×	175 0.3×	120 0.2×	55 0.1×	64	3.7k
Michael Barber United States	42	668 1.0×	2.3k 3.8×	135 0.3×	309 0.6×	39 0.1×	186	6.9k
Martin Hughes United Kingdom	41	83 0.1×	1.6k 2.7×	380 0.7×	435 0.9×	265 0.6×	187	6.6k
Richard B. Stewart United States	23	470 0.7×	77 0.1×	562 1.1×	119 0.2×	10 0.0×	98	2.6k
H. Baum United Kingdom	38	65 0.1×	1.8k 2.9×	76 0.1×	77 0.2×	16 0.0×	134	4.6k

Countries citing papers authored by Peter C. St. John

Since Specialization

Citations

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

Fields of papers citing papers by Peter C. St. John

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Peter C. St. John. 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 C. St. John. The network helps show where Peter C. St. John may publish in the future.

Co-authorship network of co-authors of Peter C. St. John

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Kim, Yeonjoon, Jae‐Young Cho, Gina M. Fioroni, et al.. (2024). Designing green chemicals by predicting vaporization properties using explainable graph attention networks. Green Chemistry. 26(19). 10247–10264. 2 indexed citations

Kim, Yeonjoon, et al.. (2023). Expansion of bond dissociation prediction with machine learning to medicinally and environmentally relevant chemical space. Digital Discovery. 2(6). 1900–1910. 10 indexed citations

Wilson, A. Nolan, Peter C. St. John, Daniela H. Marin, et al.. (2023). PolyID: Artificial Intelligence for Discovering Performance-Advantaged and Sustainable Polymers. Macromolecules. 56(21). 8547–8557. 20 indexed citations

Knoshaug, Eric P., Ambarish Nag, Huong Q. Nguyen, et al.. (2023). Identification and preliminary characterization of conserved uncharacterized proteins from Chlamydomonas reinhardtii, Arabidopsis thaliana, and Setaria viridis. Plant Direct. 7(12). e527–e527. 1 indexed citations

Law, Jeffrey, et al.. (2022). Multi-objective goal-directed optimization of de novo stable organic radicals for aqueous redox flow batteries. Nature Machine Intelligence. 4(8). 720–730. 54 indexed citations

Kim, Yeonjoon, Brian D. Etz, Gina M. Fioroni, et al.. (2022). Bioderived ether design for low soot emission and high reactivity transport fuels. Sustainable Energy & Fuels. 6(17). 3975–3988. 10 indexed citations

Chen, Ling, George Peabody, Davinia Salvachúa, et al.. (2022). Muconic acid production from glucose and xylose in Pseudomonas putida via evolution and metabolic engineering. Nature Communications. 13(1). 4925–4925. 89 indexed citations

Leach, Felix, Elana Chapman, Jeff J. Jetter, et al.. (2021). A Review and Perspective on Particulate Matter Indices Linking Fuel Composition to Particulate Emissions from Gasoline Engines. SAE international journal of fuels and lubricants. 15(1). 3–28. 14 indexed citations

Guan, Yanfei, et al.. (2021). Real-time prediction of ¹ H and ¹³ C chemical shifts with DFT accuracy using a 3D graph neural network. Chemical Science. 12(36). 12012–12026. 96 indexed citations

10.

Bredeweg, Erin, Jeremy Zucker, Nathalie Munoz Munoz, et al.. (2021). Bayesian Inference for Integrating Yarrowia lipolytica Multiomics Datasets with Metabolic Modeling. ACS Synthetic Biology. 10(11). 2968–2981. 8 indexed citations

11.

Arellano-Treviño, Martha A., Fan Liang Chan, Junqing Zhu, et al.. (2021). Property predictions demonstrate that structural diversity can improve the performance of polyoxymethylene ethers as potential bio-based diesel fuels. Fuel. 295. 120509–120509. 31 indexed citations

12.

Kim, Yeonjoon, Brian D. Etz, Gina M. Fioroni, et al.. (2020). Investigation of structural effects of aromatic compounds on sooting tendency with mechanistic insight into ethylphenol isomers. Proceedings of the Combustion Institute. 38(1). 1143–1151. 14 indexed citations

13.

John, Peter C. St., et al.. (2020). A comparison of computational models for predicting yield sooting index. Proceedings of the Combustion Institute. 38(1). 1385–1393. 22 indexed citations

14.

Etz, Brian D., Gina M. Fioroni, Richard A. Messerly, et al.. (2020). Elucidating the chemical pathways responsible for the sooting tendency of 1 and 2-phenylethanol. Proceedings of the Combustion Institute. 38(1). 1327–1334. 12 indexed citations

15.

Mallinson, S.J.B., et al.. (2020). Advances in integrative structural biology: Towards understanding protein complexes in their cellular context. Computational and Structural Biotechnology Journal. 19. 214–225. 35 indexed citations

16.

McEnally, Charles S., Peter C. St. John, Seonah Kim, et al.. (2018). Sooting Tendencies of Aromatic Hydrocarbons With Oxygen-Containing Side-Chains. Figshare. 1 indexed citations

17.

Kim, Seonah, Gina M. Fioroni, Ji-Woong Park, et al.. (2018). Experimental and theoretical insight into the soot tendencies of the methylcyclohexene isomers. Proceedings of the Combustion Institute. 37(1). 1083–1090. 15 indexed citations

18.

John, Peter C. St., Dhrubajyoti D. Das, Charles S. McEnally, et al.. (2017). A Quantitative Model for the Prediction of Sooting Tendency from Molecular Structure. Energy & Fuels. 31(9). 9983–9990. 46 indexed citations

19.

Hirota, Tsuyoshi, Jae Wook Lee, Peter C. St. John, et al.. (2012). Identification of Small Molecule Activators of Cryptochrome. Science. 337(6098). 1094–1097. 386 indexed citations breakdown →

20.

Gains, Francesca, Gerry Stoker, Alan Harding, Peter C. St. John, & Nirmala Rao. (2003). Implementing the 2000 Act with respect to New Council Constitutions and the Ethical Framework: First Report and Executive Summary. Research Explorer (The University of Manchester). 8 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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