A. York

8.2k total citations · 1 hit paper
21 papers, 1.6k citations indexed

About

A. York is a scholar working on Genetics, Plant Science and Molecular Biology. According to data from OpenAlex, A. York has authored 21 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Genetics, 9 papers in Plant Science and 7 papers in Molecular Biology. Recurrent topics in A. York's work include Genomics and Phylogenetic Studies (6 papers), Chromosomal and Genetic Variations (5 papers) and Genetic diversity and population structure (5 papers). A. York is often cited by papers focused on Genomics and Phylogenetic Studies (6 papers), Chromosomal and Genetic Variations (5 papers) and Genetic diversity and population structure (5 papers). A. York collaborates with scholars based in United States, United Kingdom and Denmark. A. York's co-authors include Lukas A. Mueller, Rasmus Nielsen, Susan R. Strickler, Naama Menda, Aureliano Bombarely, Isaak Tecle, Anuradha Pujar, Aimin Yan, Noé Fernández‐Pozo and Jeremy D. Edwards and has published in prestigious journals such as Nucleic Acids Research, Genetics and Genome Research.

In The Last Decade

A. York

21 papers receiving 1.6k 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.

The Sol Genomics Network (SGN)—from genotype to phenotype to breeding

2014 493 citations Noé Fernández‐Pozo, Naama Menda et al. Nucleic Acids Research profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
A. York United States	13	1.1k	709	493	129	51	21	1.6k
Lars Arvestad Sweden	21	529 0.5×	1.0k 1.5×	495 1.0×	132 1.0×	62 1.2×	39	1.4k
Qingyong Yang China	28	2.0k 1.7×	1.9k 2.6×	486 1.0×	40 0.3×	45 0.9×	83	2.9k
Shingo Nakamura Japan	25	1.4k 1.3×	1.4k 1.9×	338 0.7×	28 0.2×	68 1.3×	56	2.4k
Stephen Ficklin United States	21	1.0k 0.9×	948 1.3×	235 0.5×	53 0.4×	36 0.7×	55	1.7k
Guangrong Li China	26	1.7k 1.5×	481 0.7×	330 0.7×	76 0.6×	15 0.3×	142	2.2k
Steve Wanamaker United States	18	1.6k 1.4×	723 1.0×	345 0.7×	38 0.3×	32 0.6×	24	2.0k
Kengo Sato Japan	22	346 0.3×	2.2k 3.0×	303 0.6×	60 0.5×	60 1.2×	64	2.7k
Wenfeng Qian China	26	545 0.5×	1.6k 2.2×	582 1.2×	40 0.3×	40 0.8×	43	2.2k
Dannie Durand United States	17	504 0.4×	1.1k 1.5×	443 0.9×	125 1.0×	26 0.5×	37	1.5k

Countries citing papers authored by A. York

Since Specialization

Citations

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

Fields of papers citing papers by A. York

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of A. York

This figure shows the co-authorship network connecting the top 25 collaborators of A. York. A scholar is included among the top collaborators of A. York 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 A. York. A. York 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

Züst, Tobias, Susan R. Strickler, Adrian F. Powell, et al.. (2020). Independent evolution of ancestral and novel defenses in a genus of toxic plants (Erysimum, Brassicaceae). eLife. 9. 47 indexed citations

Bravo, Armando, A. York, Nathan Pumplin, Lukas A. Mueller, & Maria Harrison. (2016). Genes conserved for arbuscular mycorrhizal symbiosis identified through phylogenomics. Nature Plants. 2(2). 15208–15208. 157 indexed citations

Strickler, Susan R., Aureliano Bombarely, Jesse Munkvold, et al.. (2015). Comparative genomics and phylogenetic discordance of cultivated tomato and close wild relatives. PeerJ. 3. e793–e793. 22 indexed citations

Fernández‐Pozo, Noé, Naama Menda, Jeremy D. Edwards, et al.. (2014). The Sol Genomics Network (SGN)—from genotype to phenotype to breeding. Nucleic Acids Research. 43(D1). D1036–D1041. 493 indexed citations breakdown →

Watson, Simon, Peter Green, Michael Green, et al.. (2011). Mapping Legacy Storage Ponds. Research Explorer (The University of Manchester). 7(5). 54–59. 1 indexed citations

Bombarely, Aureliano, Naama Menda, Isaak Tecle, et al.. (2010). The Sol Genomics Network (solgenomics.net): growing tomatoes using Perl. Nucleic Acids Research. 39(Database). D1149–D1155. 207 indexed citations

Quek, Su Ying, et al.. (2010). Miniature electrical tomography for Micro-fluidic systems. 3 indexed citations

Sainudiin, Raazesh & A. York. (2009). Auto-validating von Neumann rejection sampling from small phylogenetic tree spaces. Algorithms for Molecular Biology. 4(1). 1–1. 15 indexed citations

Caicedo, Ana L., Scott Williamson, Ryan D. Hernandez, et al.. (2007). Genome-Wide Patterns of Nucleotide Polymorphism in Domesticated Rice. PLoS Genetics. 3(9). e163–e163. 336 indexed citations

10.

York, A., Rick Durrett, & Rasmus Nielsen. (2007). Dependence of paracentric inversion rate on tract length. BMC Bioinformatics. 8(1). 115–115. 11 indexed citations

11.

Frary, Amy, et al.. (2005). Comparative genome analyses of Arabidopsis spp.: Inferring chromosomal rearrangement events in the evolutionary history of A. thaliana. Genome Research. 15(4). 505–515. 114 indexed citations

12.

York, A., Richard Durrett, Steven D. Tanksley, & Rasmus Nielsen. (2005). Bayesian and maximum likelihood estimation of genetic maps. Genetics Research. 85(2). 159–168. 3 indexed citations

13.

Durrett, Richard, Rasmus Nielsen, & A. York. (2004). Bayesian Estimation of Genomic Distance. Genetics. 166(1). 621–629. 17 indexed citations

14.

York, A., et al.. (2004). Microelectronic Capacitance Transducer for Particle Detection. IEEE Sensors Journal. 4(3). 364–372. 47 indexed citations

15.

York, A., Richard Durrett, & Rasmus Nielsen. (2002). Bayesian Estimation of the Number of Inversions in the History of Two Chromosomes. Journal of Computational Biology. 9(6). 805–818. 19 indexed citations

16.

Williams, Paul & A. York. (1999). Hardware implementation of RAM-based neural networks for tomographic data processing. IEE Proceedings - Computers and Digital Techniques. 146(2). 114–114. 6 indexed citations

17.

York, A., et al.. (1997). Processing of Tomographic Data Using Weightless Neural Networks. Journal of Intelligent Systems. 7(3-4). 349–366. 3 indexed citations

18.

Lowe, Mary, et al.. (1993). Reconstruction of three-dimensional particle trajectories in flows through curved circular tubes. Experiments in Fluids. 14(6). 402–408. 2 indexed citations

19.

York, A.. (1989). Fragmentation of cosmic-string loops. Physical review. D. Particles, fields, gravitation, and cosmology/Physical review. D. Particles and fields. 40(2). 277–281. 8 indexed citations

20.

Albrecht, Andreas & A. York. (1988). Topological picture of cosmic-string self-intersection. Physical review. D. Particles, fields, gravitation, and cosmology/Physical review. D. Particles and fields. 38(10). 2958–2962. 12 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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