P. Dewayne Johnson

724 total citations
31 papers, 547 citations indexed

About

P. Dewayne Johnson is a scholar working on Plant Science, Agronomy and Crop Science and Pollution. According to data from OpenAlex, P. Dewayne Johnson has authored 31 papers receiving a total of 547 indexed citations (citations by other indexed papers that have themselves been cited), including 30 papers in Plant Science, 13 papers in Agronomy and Crop Science and 2 papers in Pollution. Recurrent topics in P. Dewayne Johnson's work include Peanut Plant Research Studies (15 papers), Agronomic Practices and Intercropping Systems (13 papers) and Agricultural pest management studies (10 papers). P. Dewayne Johnson is often cited by papers focused on Peanut Plant Research Studies (15 papers), Agronomic Practices and Intercropping Systems (13 papers) and Agricultural pest management studies (10 papers). P. Dewayne Johnson collaborates with scholars based in United States, Australia and China. P. Dewayne Johnson's co-authors include Meixue Zhou, David L. Jordan, Gaofeng Zhou, Chengdao Li, Sergey Shabala, Anthony Koutoulis, Xuechen Zhang, Lana Shabala, Emmanuel Delhaize and Peter R. Ryan and has published in prestigious journals such as PLoS ONE, Theoretical and Applied Genetics and Field Crops Research.

In The Last Decade

P. Dewayne Johnson

30 papers receiving 526 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
P. Dewayne Johnson United States 13 504 87 52 39 36 31 547
Millicent R. Smith Australia 10 388 0.8× 90 1.0× 42 0.8× 16 0.4× 35 1.0× 21 461
Liliane Ngoune Tandzi Cameroon 8 247 0.5× 123 1.4× 49 0.9× 26 0.7× 45 1.3× 17 321
Masaki Okamura Japan 14 533 1.1× 53 0.6× 80 1.5× 20 0.5× 16 0.4× 38 614
Abush Tesfaye Ethiopia 13 341 0.7× 41 0.5× 48 0.9× 42 1.1× 12 0.3× 56 426
Vesna Dragičević Serbia 14 492 1.0× 234 2.7× 16 0.3× 17 0.4× 78 2.2× 131 620
Anand Kanatti India 11 331 0.7× 40 0.5× 43 0.8× 10 0.3× 107 3.0× 26 361
A. Kamran Canada 6 284 0.6× 61 0.7× 55 1.1× 19 0.5× 18 0.5× 8 340
Sube Singh India 13 456 0.9× 77 0.9× 79 1.5× 14 0.4× 36 1.0× 26 511
A. Michelena Spain 6 272 0.5× 178 2.0× 13 0.3× 9 0.2× 71 2.0× 10 342
M. A. Maqbool Pakistan 13 517 1.0× 82 0.9× 33 0.6× 40 1.0× 46 1.3× 51 564

Countries citing papers authored by P. Dewayne Johnson

Since Specialization
Citations

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

Fields of papers citing papers by P. Dewayne Johnson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by P. Dewayne Johnson. 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 P. Dewayne Johnson. The network helps show where P. Dewayne Johnson may publish in the future.

Co-authorship network of co-authors of P. Dewayne Johnson

This figure shows the co-authorship network connecting the top 25 collaborators of P. Dewayne Johnson. A scholar is included among the top collaborators of P. Dewayne Johnson 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 P. Dewayne Johnson. P. Dewayne Johnson 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.
Manik, S. M. Nuruzzaman, et al.. (2022). Multidimensional screening and evaluation of morpho‐physiological indices for salinity stress tolerance in wheat. Journal of Agronomy and Crop Science. 208(4). 454–471. 23 indexed citations
2.
Johnson, P. Dewayne, et al.. (2020). Survey of interseeded red clover management and perceived challenges by Ontario wheat growers. Canadian Journal of Plant Science. 100(5). 560–567. 1 indexed citations
3.
Larkin, P. J., et al.. (2019). Barley yellow dwarf virus infection affects physiology, morphology, grain yield and flour pasting properties of wheat. Crop and Pasture Science. 70(1). 16–25. 13 indexed citations
4.
Jordan, David L., et al.. (2019). Response of Two Virginia Market Type Peanut Cultivars to Planting and Digging Dates in North Carolina. Crop Forage & Turfgrass Management. 5(1). 190003–190003. 1 indexed citations
5.
Zhang, Xuechen, Yun Fan, Sergey Shabala, et al.. (2017). A new major-effect QTL for waterlogging tolerance in wild barley (H. spontaneum). Theoretical and Applied Genetics. 130(8). 1559–1568. 53 indexed citations
6.
Zhang, Xuechen, Gaofeng Zhou, Sergey Shabala, et al.. (2016). Identification of aerenchyma formation-related QTL in barley that can be effective in breeding for waterlogging tolerance. Theoretical and Applied Genetics. 129(6). 1167–1177. 58 indexed citations
7.
Jordan, David L., et al.. (2014). Peanut Response to Crop Rotations Including Clary Sage, Snap Bean, and Sweet Potato. Crop Management. 13(1). 1–5. 1 indexed citations
8.
Xu, Rugen, Junmei Wang, Chengdao Li, et al.. (2012). A Single Locus Is Responsible for Salinity Tolerance in a Chinese Landrace Barley (Hordeum vulgare L.). PLoS ONE. 7(8). e43079–e43079. 54 indexed citations
9.
Jordan, David L., et al.. (2010). Peanut (Arachis hypogaeaL.) Response toBradyrhizobiaInoculant Applied In-furrow with Agrichemicals. Peanut Science. 37(1). 32–38. 4 indexed citations
10.
Jordan, David L., et al.. (2009). Weed Management in Peanut with Herbicide Combinations Containing Imazapic and Other Pesticides. Weed Technology. 23(1). 6–10. 12 indexed citations
11.
Jordan, David L., et al.. (2009). Peanut Cultivar Response to Damage from Tobacco Thrips and Paraquat. Agronomy Journal. 101(6). 1388–1393. 9 indexed citations
12.
Jordan, David L., Loren R. Fisher, B. B. Shew, et al.. (2009). Comparison of Cropping Systems Including Corn, Peanut, and Tobacco in the North Carolina Coastal Plain. Crop Management. 8(1). 1–8. 3 indexed citations
13.
Herbert, D. A., et al.. (2007). Role of Insecticides in Reducing Thrips Injury to Plants and Incidence of Tomato Spotted Wilt Virus in Virginia Market-Type Peanut. Journal of Economic Entomology. 100(4). 1241–1247. 22 indexed citations
14.
Jordan, David L. & P. Dewayne Johnson. (2007). Comparison of Irrigation Systems and Fungicide Programs in Virginia Market‐type Peanut. Crop Management. 6(1). 1–7. 3 indexed citations
15.
Brandenburg, Rick, et al.. (2006). Interactions of Tillage with Management Practices Designed to Minimize Tomato Spotted Wilt of Peanut (Arachis hypogaea L.). Peanut Science. 33(2). 83–89. 8 indexed citations
16.
Jordan, David L., et al.. (2006). Compatibility of In-Furrow Application of Acephate, Inoculant, and Tebuconazole in Peanut (Arachis hypogaea L.). Peanut Science. 33(2). 112–117. 8 indexed citations
17.
Lancaster, Sarah, et al.. (2004). Sicklepod Control in Peanut Seeded in Single and Twin Row Planting Patterns. Peanut Science. 31(1). 36–40. 5 indexed citations
18.
Johnson, P. Dewayne. (2003). Acerola <i>(Malpighia glabra</i> L., <i>M. punicifolia</i> L., <i>M. emarginata</i> D.C.): Agriculture, Production and Nutrition. World review of nutrition and dietetics. 91. 67–75. 23 indexed citations
19.
Jordan, David L., et al.. (2001). Peanut Response to Tillage and Fertilization. Agronomy Journal. 93(5). 1125–1130. 30 indexed citations
20.
Jordan, David L., et al.. (1999). Cost Effectiveness of Pest Management Strategies in Peanut (Arachis hypogaea L.) Grown in North Carolina. Peanut Science. 26(2). 85–94. 8 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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