J. Peter W. Young

24.9k total citations · 3 hit papers
217 papers, 16.0k citations indexed

About

J. Peter W. Young is a scholar working on Plant Science, Ecology and Molecular Biology. According to data from OpenAlex, J. Peter W. Young has authored 217 papers receiving a total of 16.0k indexed citations (citations by other indexed papers that have themselves been cited), including 162 papers in Plant Science, 57 papers in Ecology and 37 papers in Molecular Biology. Recurrent topics in J. Peter W. Young's work include Legume Nitrogen Fixing Symbiosis (121 papers), Mycorrhizal Fungi and Plant Interactions (36 papers) and Coastal wetland ecosystem dynamics (34 papers). J. Peter W. Young is often cited by papers focused on Legume Nitrogen Fixing Symbiosis (121 papers), Mycorrhizal Fungi and Plant Interactions (36 papers) and Coastal wetland ecosystem dynamics (34 papers). J. Peter W. Young collaborates with scholars based in United Kingdom, United States and France. J. Peter W. Young's co-authors include Alastair Fitter, R. Husband, Sarah L. Turner, Tim J. Daniell, Philippe Vandenkoornhuyse, Sangsun Lee, Kaisa Haukka, Thorunn Helgason, Andrew Johnston and Karyn P. Ridgway and has published in prestigious journals such as Nature, Science and Proceedings of the National Academy of Sciences.

In The Last Decade

J. Peter W. Young

215 papers receiving 15.3k citations

Hit Papers

Molecular diversity of arbuscular mycorrhizal fungi colon... 2001 2026 2009 2017 2001 2007 2008 200 400 600

Peers

J. Peter W. Young
Jorge M. Vivanco United States
Jos M. Raaijmakers Netherlands
Andres Wiemken Switzerland
Thomas Böller Switzerland
Harsh P. Bais United States
Susannah G. Tringe United States
Jorge M. Vivanco United States
J. Peter W. Young
Citations per year, relative to J. Peter W. Young J. Peter W. Young (= 1×) peers Jorge M. Vivanco

Countries citing papers authored by J. Peter W. Young

Since Specialization
Citations

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

Fields of papers citing papers by J. Peter W. Young

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by J. Peter W. Young. 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 J. Peter W. Young. The network helps show where J. Peter W. Young may publish in the future.

Co-authorship network of co-authors of J. Peter W. Young

This figure shows the co-authorship network connecting the top 25 collaborators of J. Peter W. Young. A scholar is included among the top collaborators of J. Peter W. Young 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 J. Peter W. Young. J. Peter W. Young 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.
Arahal, David R., Carolee T. Bull, Henrik Christensen, et al.. (2025). Judicial Opinion 131. INTERNATIONAL JOURNAL OF SYSTEMATIC AND EVOLUTIONARY MICROBIOLOGY. 75(2). 4 indexed citations
2.
Rouws, Luc Felicianus Marie, Chrizelle W. Beukes, Janaína Ribeiro Costa Rouws, et al.. (2024). Soil characteristics drive contrasting patterns of association between symbiotic rhizobia of endemic and widespread Mimosa species in Brazil. Applied Soil Ecology. 204. 105741–105741. 2 indexed citations
4.
Menéndez, Esther, José David Flores‐Félix, George C. diCenzo, et al.. (2024). Reclassification of type strains of Rhizobium indigoferae and Sinorhizobium kummerowiae into the species Rhizobium leguminosarum and Sinorhizobium meliloti, respectively. INTERNATIONAL JOURNAL OF SYSTEMATIC AND EVOLUTIONARY MICROBIOLOGY. 74(7). 3 indexed citations
5.
Vasar, Martti, John Davison, Lena Neuenkamp, et al.. (2021). User‐friendly bioinformatics pipeline gDAT (graphical downstream analysis tool) for analysing rDNA sequences. Molecular Ecology Resources. 21(4). 1380–1392. 32 indexed citations
6.
Harrison, Ellie, et al.. (2021). Genetic variation is associated with differences in facilitative and competitive interactions in the Rhizobium leguminosarum species complex. Environmental Microbiology. 24(8). 3463–3485. 10 indexed citations
7.
Friman, Ville‐Petri, et al.. (2020). MAUI‐seq: Metabarcoding using amplicons with unique molecular identifiers to improve error correction. Molecular Ecology Resources. 21(3). 703–720. 14 indexed citations
8.
Jiao, Jian, Meng Ni, Biliang Zhang, et al.. (2018). Coordinated regulation of core and accessory genes in the multipartite genome of Sinorhizobium fredii. PLoS Genetics. 14(5). e1007428–e1007428. 33 indexed citations
9.
Vasar, Martti, Reidar Andreson, John Davison, et al.. (2017). Increased sequencing depth does not increase captured diversity of arbuscular mycorrhizal fungi. Mycorrhiza. 27(8). 761–773. 56 indexed citations
10.
Remigi, Philippe, Jun Zhu, J. Peter W. Young, & Catherine Masson‐Boivin. (2015). Symbiosis within Symbiosis: Evolving Nitrogen-Fixing Legume Symbionts. Trends in Microbiology. 24(1). 63–75. 178 indexed citations
11.
Hickinbotham, Simon, et al.. (2010). Diversity From a Monoculture: Effects of Mutation-On-Copy in a String-Based Artificial Chemistry. Artificial Life. 24–31. 9 indexed citations
12.
Young, J. Peter W.. (2009). Genes: an Open Access Journal. Genes. 1(1). 1–3. 1 indexed citations
13.
Sattar, M. A., et al.. (2009). Molecular characterization of symbiotic root nodulating rhizobia isolated from lentil (Lens culinaris medik.). Electronic journal of environmental, agricultural and food chemistry. 8(8). 602–612. 9 indexed citations
14.
Vandenkoornhuyse, Philippe, Stéphane Mahé, P. Ineson, et al.. (2007). Active root-inhabiting microbes identified by rapid incorporation of plant-derived carbon into RNA. Proceedings of the National Academy of Sciences. 104(43). 16970–16975. 170 indexed citations
15.
Arocena, J. M., et al.. (2005). Uptake, Distribution, and Speciation of Chromium in Brassica Juncea. International Journal of Phytoremediation. 7(2). 153–165. 88 indexed citations
16.
Turner, Sarah L., et al.. (2002). Identification and analysis of rhizobial plasmid origins of transfer. FEMS Microbiology Ecology. 42(2). 227–234. 10 indexed citations
17.
Husband, R., Edward Allen Herre, & J. Peter W. Young. (2002). Temporal variation in the arbuscular mycorrhizal communities colonising seedlings in a tropical forest. FEMS Microbiology Ecology. 42(1). 131–136. 114 indexed citations
18.
Mcinroy, S.G., Colin D. Campbell, Kaisa Haukka, et al.. (1999). Characterisation of rhizobia from African acacias and other tropical woody legumes using Biolog⢠and partial 16S rRNA sequencing. FEMS Microbiology Letters. 170(1). 111–117. 39 indexed citations
19.
Moreira, Fátima Maria de Souza, Kaisa Haukka, & J. Peter W. Young. (1998). Biodiversity of rhizobia isolated from a wide range of forest legumes in Brazil. Molecular Ecology. 7(7). 889–895. 103 indexed citations
20.
Jarvis, B. D. W., et al.. (1992). Phylogeny of Fast-Growing Soybean-Nodulating Rhizobia Supports Synonymy of Sinorhizobium and Rhizobium and Assignment to Rhizobium fredii. International Journal of Systematic Bacteriology. 42(1). 93–96. 64 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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