John W. Mayfield

1.6k total citations · 2 hit papers
3 papers, 936 citations indexed

About

John W. Mayfield is a scholar working on Computational Theory and Mathematics, Spectroscopy and Molecular Biology. According to data from OpenAlex, John W. Mayfield has authored 3 papers receiving a total of 936 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Computational Theory and Mathematics, 2 papers in Spectroscopy and 1 paper in Molecular Biology. Recurrent topics in John W. Mayfield's work include Computational Drug Discovery Methods (3 papers), Analytical Chemistry and Chromatography (2 papers) and Microbial Natural Products and Biosynthesis (1 paper). John W. Mayfield is often cited by papers focused on Computational Drug Discovery Methods (3 papers), Analytical Chemistry and Chromatography (2 papers) and Microbial Natural Products and Biosynthesis (1 paper). John W. Mayfield collaborates with scholars based in United States, Netherlands and Sweden. John W. Mayfield's co-authors include Khanh Tang, Jennifer J. Young, Roger A. Sayle, John J. Irwin, Yurii S. Moroz, Chris T. Evelo, Tomáš Pluskal, Nina Jeliazkova, Rajarshi Guha and Arvid Berg and has published in prestigious journals such as Journal of Chemical Information and Modeling and Journal of Cheminformatics.

In The Last Decade

John W. Mayfield

3 papers receiving 914 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.

ZINC20—A Free Ultralarge-Scale Chemical Database for Ligand Discovery

2020 556 citations John J. Irwin, Khanh Tang et al. Journal of Chemical Information and Modeling profile →
The Chemistry Development Kit (CDK) v2.0: atom typing, depiction, molecular formulas, and substructure searching

2017 366 citations Egon Willighagen, John W. Mayfield et al. Journal of Cheminformatics profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
John W. Mayfield United States	3	581	542	207	104	102	3	936
Eloy Félix United Kingdom	6	625 1.1×	545 1.0×	230 1.1×	58 0.6×	88 0.9×	11	1.0k
Eva Nittinger Sweden	13	428 0.7×	543 1.0×	263 1.3×	62 0.6×	65 0.6×	28	901
Tailong Lei China	13	498 0.9×	445 0.8×	126 0.6×	65 0.6×	82 0.8×	22	879
Nils Weskamp Germany	14	587 1.0×	603 1.1×	216 1.0×	53 0.5×	96 0.9×	21	905
Florian Flachsenberg Germany	12	541 0.9×	662 1.2×	293 1.4×	67 0.6×	111 1.1×	20	1.1k
Jonathan Alvarsson Sweden	13	495 0.9×	438 0.8×	161 0.8×	155 1.5×	67 0.7×	25	840
Ed Griffen United Kingdom	11	482 0.8×	434 0.8×	124 0.6×	110 1.1×	97 1.0×	15	775
Mark Mackey United Kingdom	11	439 0.8×	590 1.1×	190 0.9×	66 0.6×	103 1.0×	19	980
Filip Miljković Germany	16	554 1.0×	460 0.8×	163 0.8×	52 0.5×	91 0.9×	43	806
Valery Tkachenko United States	14	450 0.8×	470 0.9×	201 1.0×	124 1.2×	45 0.4×	18	1.0k

Countries citing papers authored by John W. Mayfield

Since Specialization

Citations

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

Fields of papers citing papers by John W. Mayfield

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by John W. Mayfield. 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 John W. Mayfield. The network helps show where John W. Mayfield may publish in the future.

Co-authorship network of co-authors of John W. Mayfield

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

All Works

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3 of 3 papers shown

1.

Irwin, John J., Khanh Tang, Jennifer J. Young, et al.. (2020). ZINC20—A Free Ultralarge-Scale Chemical Database for Ligand Discovery. Journal of Chemical Information and Modeling. 60(12). 6065–6073. 556 indexed citations breakdown →

2.

Hanson, Robert M., et al.. (2018). Algorithmic Analysis of Cahn–Ingold–Prelog Rules of Stereochemistry: Proposals for Revised Rules and a Guide for Machine Implementation. Journal of Chemical Information and Modeling. 58(9). 1755–1765. 14 indexed citations

3.

Willighagen, Egon, John W. Mayfield, Jonathan Alvarsson, et al.. (2017). The Chemistry Development Kit (CDK) v2.0: atom typing, depiction, molecular formulas, and substructure searching. Journal of Cheminformatics. 9(1). 33–33. 366 indexed citations breakdown →

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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