John Crow

1.7k total citations
27 papers, 805 citations indexed

About

John Crow is a scholar working on Plant Science, Molecular Biology and Genetics. According to data from OpenAlex, John Crow has authored 27 papers receiving a total of 805 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Plant Science, 10 papers in Molecular Biology and 5 papers in Genetics. Recurrent topics in John Crow's work include Soybean genetics and cultivation (4 papers), Genomics and Phylogenetic Studies (3 papers) and Genetic Mapping and Diversity in Plants and Animals (3 papers). John Crow is often cited by papers focused on Soybean genetics and cultivation (4 papers), Genomics and Phylogenetic Studies (3 papers) and Genetic Mapping and Diversity in Plants and Animals (3 papers). John Crow collaborates with scholars based in United States, United Kingdom and Russia. John Crow's co-authors include Gregory D. May, Matthew B. Kilgore, Toni M. Kutchan, Megan M. Augustin, Ernest F. Retzel, Robin S. S. Kramer, Andrew Farmer, Joann Mudge, Ruifeng He and David R. Gang and has published in prestigious journals such as Science, Nucleic Acids Research and Journal of Biological Chemistry.

In The Last Decade

John Crow

25 papers receiving 785 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
John Crow United States 14 485 375 116 104 80 27 805
Meriel G. Jones United Kingdom 15 252 0.5× 400 1.1× 35 0.3× 29 0.3× 113 1.4× 24 593
E. Rodríguez United States 14 323 0.7× 299 0.8× 83 0.7× 62 0.6× 52 0.7× 24 635
Jan Jirschitzka Germany 11 589 1.2× 312 0.8× 24 0.2× 19 0.2× 45 0.6× 13 855
Vladimír Mikeš Czechia 17 657 1.4× 349 0.9× 32 0.3× 23 0.2× 147 1.8× 40 923
Marie‐Louise Milat France 17 647 1.3× 489 1.3× 156 1.3× 37 0.4× 61 0.8× 32 1.0k
Pilar Moya Spain 16 215 0.4× 192 0.5× 103 0.9× 261 2.5× 146 1.8× 32 674
Shogo Furutani Japan 14 145 0.3× 320 0.9× 64 0.6× 256 2.5× 76 0.9× 22 574
María del Carmen Gutiérrez Mexico 13 74 0.2× 189 0.5× 37 0.3× 59 0.6× 41 0.5× 25 424
Emile Gluck‐Thaler United States 12 227 0.5× 143 0.4× 39 0.3× 17 0.2× 113 1.4× 23 393
Ljerka Lah Slovenia 14 173 0.4× 292 0.8× 32 0.3× 144 1.4× 107 1.3× 19 658

Countries citing papers authored by John Crow

Since Specialization
Citations

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

Fields of papers citing papers by John Crow

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of John Crow

This figure shows the co-authorship network connecting the top 25 collaborators of John Crow. A scholar is included among the top collaborators of John Crow 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 Crow. John Crow 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.
Medeiros, Tania, Jana Ovciarikova, John Crow, et al.. (2025). Mitochondria protect against an intracellular pathogen by restricting access to folate. Science. 389(6761). eadr6326–eadr6326. 2 indexed citations
2.
Cramer, Angela, Chenglin Yao, Andrew J. Bowling, et al.. (2025). Spatial and single-cell transcriptomics capture two distinct cell states in soybean defense response to Phakopsora pachyrhizi infection. Frontiers in Plant Science. 16. 1637176–1637176. 1 indexed citations
3.
Deschamps, Stéphane, John Crow, Nadia Chaidir, et al.. (2021). Chromatin loop anchors contain core structural components of the gene expression machinery in maize. BMC Genomics. 22(1). 23–23. 8 indexed citations
4.
Kilgore, Matthew B., Megan M. Augustin, Gregory D. May, John Crow, & Toni M. Kutchan. (2016). CYP96T1 of Narcissus sp. aff. pseudonarcissus Catalyzes Formation of the Para-Para' C-C Phenol Couple in the Amaryllidaceae Alkaloids. Frontiers in Plant Science. 7. 225–225. 56 indexed citations
5.
6.
Kilgore, Matthew B., Megan M. Augustin, Courtney M. Starks, et al.. (2014). Cloning and Characterization of a Norbelladine 4′-O-Methyltransferase Involved in the Biosynthesis of the Alzheimer’s Drug Galanthamine in Narcissus sp. aff. pseudonarcissus. PLoS ONE. 9(7). e103223–e103223. 73 indexed citations
7.
He, Ruifeng, Fernanda Salvato, Min-Jeong Kim, et al.. (2014). A systems-wide comparison of red rice (Oryza longistaminata) tissues identifies rhizome specific genes and proteins that are targets for cultivated rice improvement. BMC Plant Biology. 14(1). 46–46. 35 indexed citations
8.
Marques, Joaquim V., Kye‐Won Kim, Choonseok Lee, et al.. (2012). Next Generation Sequencing in Predicting Gene Function in Podophyllotoxin Biosynthesis. Journal of Biological Chemistry. 288(1). 466–479. 92 indexed citations
9.
He, Ruifeng, Minjeong Kim, William M. Nelson, et al.. (2012). Next‐generation sequencing‐based transcriptomic and proteomic analysis of the common reed, Phragmites australis (Poaceae), reveals genes involved in invasiveness and rhizome specificity. American Journal of Botany. 99(2). 232–247. 43 indexed citations
10.
Kudapa, Himabindu, Arvind K. Bharti, Steven B. Cannon, et al.. (2012). A Comprehensive Transcriptome Assembly of Pigeonpea (Cajanus cajan L.) using Sanger and Second-Generation Sequencing Platforms. Molecular Plant. 5(5). 1020–1028. 62 indexed citations
11.
Li, Xuehui, Ananta Acharya, Andrew Farmer, et al.. (2012). Prevalence of single nucleotide polymorphism among 27 diverse alfalfa genotypes as assessed by transcriptome sequencing. BMC Genomics. 13(1). 568–568. 50 indexed citations
12.
Dinwiddie, Darrell L., Christine Bell, Neil Miller, et al.. (2010). Carrier Screening of Recessive Genetic Disorders by Exon Capture and Next-Generation Sequencing. Journal of Biomolecular Techniques JBT. 21.
13.
Chen, Changbin, Andrew Farmer, Raymond J. Langley, et al.. (2010). Meiosis-specific gene discovery in plants: RNA-Seq applied to isolated Arabidopsis male meiocytes. BMC Plant Biology. 10(1). 280–280. 113 indexed citations
14.
Chang, Ta‐Chau, Hirofumi Yasue, Andrew Farmer, et al.. (2010). A high‐resolution comparative map of porcine chromosome 4 (SSC4). Animal Genetics. 42(4). 440–444. 2 indexed citations
15.
Retzel, Ernest F., et al.. (2007). Legume Resources: MtDB and Medicago.Org. Humana Press eBooks. 406. 261–274. 3 indexed citations
16.
Pavy, Nathalie, et al.. (2006). ForestTreeDB: a database dedicated to the mining of tree transcriptomes. Nucleic Acids Research. 35(Database). D888–D894. 18 indexed citations
17.
Johnson, James E., Martina V. Strömvik, Kevin A.T. Silverstein, et al.. (2003). TableView: portable genomic data visualization. Bioinformatics. 19(10). 1292–1293. 8 indexed citations
18.
Crow, John. (1993). Quadrature of integrands with a logarithmic singularity. Mathematics of Computation. 60(201). 297–301. 13 indexed citations
19.
Crow, John. (1991). Classical Solutions of the Cauchy Problem. 1 indexed citations
20.
Crow, John. (1991). Long time classical solutions of a nonlinear wave equation. Communications in Partial Differential Equations. 16(8-9). 1529–1548. 1 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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