N. A. Patterson

979 total citations
31 papers, 611 citations indexed

About

N. A. Patterson is a scholar working on Molecular Biology, Plant Science and Insect Science. According to data from OpenAlex, N. A. Patterson has authored 31 papers receiving a total of 611 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Molecular Biology, 12 papers in Plant Science and 8 papers in Insect Science. Recurrent topics in N. A. Patterson's work include Insect-Plant Interactions and Control (6 papers), Insect behavior and control techniques (6 papers) and Forest Insect Ecology and Management (5 papers). N. A. Patterson is often cited by papers focused on Insect-Plant Interactions and Control (6 papers), Insect behavior and control techniques (6 papers) and Forest Insect Ecology and Management (5 papers). N. A. Patterson collaborates with scholars based in Canada, United States and Mexico. N. A. Patterson's co-authors include Kristi D. Snell, M. Kapoor, M. N. Somleva, Oliver P. Peoples, B. N. Chakraborty, Katherine F. Dobinson, Gerard J. White, R. P. Jaques, Daoquan Xiang and Bianyun Yu and has published in prestigious journals such as Science, SHILAP Revista de lepidopterología and PLANT PHYSIOLOGY.

In The Last Decade

N. A. Patterson

29 papers receiving 554 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
N. A. Patterson Canada 13 296 246 110 82 82 31 611
A. Boudet France 14 433 1.5× 478 1.9× 193 1.8× 63 0.8× 16 0.2× 22 777
Paul A. Howles Australia 13 726 2.5× 626 2.5× 121 1.1× 37 0.5× 10 0.1× 17 1.0k
Vipa Hongtrakul Thailand 9 306 1.0× 139 0.6× 70 0.6× 21 0.3× 70 0.9× 29 486
Miguel E. Vega‐Sánchez United States 19 1.1k 3.7× 657 2.7× 251 2.3× 90 1.1× 15 0.2× 27 1.4k
Chang Seuk Park South Korea 7 523 1.8× 262 1.1× 37 0.3× 146 1.8× 17 0.2× 13 703
Kazumasa Murata Japan 18 1.6k 5.4× 743 3.0× 102 0.9× 28 0.3× 13 0.2× 28 1.8k
Wenfang Gong China 19 720 2.4× 524 2.1× 67 0.6× 27 0.3× 42 0.5× 46 1.0k
Emilie A. Rennie United States 12 961 3.2× 456 1.9× 246 2.2× 52 0.6× 34 0.4× 13 1.2k
S. C. Cheah Malaysia 11 297 1.0× 266 1.1× 102 0.9× 12 0.1× 47 0.6× 33 686
Charles L. Soliday United States 13 332 1.1× 247 1.0× 37 0.3× 94 1.1× 30 0.4× 14 630

Countries citing papers authored by N. A. Patterson

Since Specialization
Citations

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

Fields of papers citing papers by N. A. Patterson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of N. A. Patterson

This figure shows the co-authorship network connecting the top 25 collaborators of N. A. Patterson. A scholar is included among the top collaborators of N. A. Patterson 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 N. A. Patterson. N. A. Patterson 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.
Nosworthy, Matthew G., Bianyun Yu, L. Irina Zaharia, Gerardo Medina, & N. A. Patterson. (2025). Pulse protein quality and derived bioactive peptides. Frontiers in Plant Science. 16. 1429225–1429225. 1 indexed citations
2.
Shen, Wenyun, N. A. Patterson, Liping Wang, et al.. (2024). Pistil-derived lipids influence pollen tube growth and male fertility in Arabidopsis thaliana. PLANT PHYSIOLOGY. 196(2). 763–772. 3 indexed citations
3.
Malik, M. R., N. A. Patterson, Jihong Tang, et al.. (2023). Polyhydroxybutyrate synthesis in Camelina: Towards coproduction of renewable feedstocks for bioplastics and fuels. Plant Biotechnology Journal. 21(12). 2671–2682. 3 indexed citations
4.
Han, Xiumei, Paula Ashe, L. Irina Zaharia, et al.. (2023). Comprehensive compositional assessment of bioactive compounds in diverse pea accessions. Food Research International. 165. 112455–112455. 16 indexed citations
5.
Jia, Zhen, Peng Gao, Teagen D. Quilichini, et al.. (2022). Asymmetric gene expression in grain development of reciprocal crosses between tetraploid and hexaploid wheats. Communications Biology. 5(1). 1412–1412. 3 indexed citations
6.
Bhowmik, Pankaj, David Konkin, Patricia L. Polowick, et al.. (2021). CRISPR/Cas9 gene editing in legume crops: Opportunities and challenges. Legume Science. 3(3). 60 indexed citations
7.
Yu, Bianyun, et al.. (2021). Understanding Starch Metabolism in Pea Seeds towards Tailoring Functionality for Value-Added Utilization. International Journal of Molecular Sciences. 22(16). 8972–8972. 18 indexed citations
8.
Patterson, N. A., et al.. (2016). The Influence of Spray Programs on the Fauna of Apple Orchards in Nova Scotia: I. An Appraisal of the Problem and a Method of Approach1. Scientific Agriculture.
9.
Malik, M. R., Wenyu Yang, N. A. Patterson, et al.. (2014). Production of high levels of poly‐3‐hydroxybutyrate in plastids of Camelina sativa seeds. Plant Biotechnology Journal. 13(5). 675–688. 38 indexed citations
10.
Petrasovits, L. A., R. B. McQualter, Kristi D. Snell, et al.. (2012). Enhanced polyhydroxybutyrate production in transgenic sugarcane. Plant Biotechnology Journal. 10(5). 569–578. 39 indexed citations
11.
Somleva, M. N., et al.. (2008). Production of polyhydroxybutyrate in switchgrass, a value‐added co‐product in an important lignocellulosic biomass crop. Plant Biotechnology Journal. 6(7). 663–678. 105 indexed citations
12.
Weselake, Randall J., N. A. Patterson, William B. Wiehler, et al.. (2006). Acyl-CoA-binding and self-associating properties of a recombinant 13.3 kDa N-terminal fragment of diacylglycerol acyltransferase-1 from oilseed rape.. BMC Biochemistry. 7(1). 24–24. 49 indexed citations
13.
Dobinson, Katherine F., et al.. (1998). DNA fingerprinting and vegetative compatibility analysis indicate multiple origins for Verticillium dahliae race 2 tomato isolates from Ontario, Canada. Mycological Research. 102(9). 1089–1095. 61 indexed citations
14.
15.
Kapulnik, Yoram, et al.. (1994). Stunting syndrome in peanuts and agronomic approaches for its release. Symbiosis. 16(3). 267–278. 7 indexed citations
16.
Chakraborty, B. N., N. A. Patterson, & M. Kapoor. (1991). An electroporation-based system for high-efficiency transformation of germinated conidia of filamentous fungi. Canadian Journal of Microbiology. 37(11). 858–863. 54 indexed citations
17.
Patterson, N. A., et al.. (1991). N2-fixation activity and nitrate concentration do not affect Glomus macrocarpum infection of Medic ago sativa L.. Soil Biology and Biochemistry. 23(7). 703–705. 1 indexed citations
18.
Patterson, N. A., I. Chet, & Yoram Kapulnik. (1990). Effect of mycorrhizal inoculation on nodule initiation, activity and contribution to legume productivity.. Symbiosis. 8(1). 9–20. 12 indexed citations
19.
Patterson, N. A. & C. R. MacLellan. (1954). Control of the Codling Moth and other Orchard Pests with Ryania.. 2 indexed citations
20.
Patterson, N. A., et al.. (1953). The Influence of Spray Programs on the Fauna of Apple Orchards in Nova Scotia. IV. A Review. The Canadian Entomologist. 85(12). 472–478. 38 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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