P. A. Jackson

2.0k total citations
41 papers, 1.3k citations indexed

About

P. A. Jackson is a scholar working on Plant Science, Surgery and Biomedical Engineering. According to data from OpenAlex, P. A. Jackson has authored 41 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 37 papers in Plant Science, 19 papers in Surgery and 12 papers in Biomedical Engineering. Recurrent topics in P. A. Jackson's work include Sugarcane Cultivation and Processing (36 papers), Natural Products and Biological Research (19 papers) and Biofuel production and bioconversion (12 papers). P. A. Jackson is often cited by papers focused on Sugarcane Cultivation and Processing (36 papers), Natural Products and Biological Research (19 papers) and Biofuel production and bioconversion (12 papers). P. A. Jackson collaborates with scholars based in Australia, China and United States. P. A. Jackson's co-authors include C. Lynne McIntyre, Karen S. Aitken, N. G. Inman‐Bamber, Prakash Lakshmanan, J. Basnayake, Graham D. Bonnett, Scott Chapman, Xianming Wei, Gurmit Singh and Christopher P. L. Grof and has published in prestigious journals such as Journal of Experimental Botany, Theoretical and Applied Genetics and Field Crops Research.

In The Last Decade

P. A. Jackson

39 papers receiving 1.2k 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. A. Jackson Australia 21 1.2k 561 448 117 107 41 1.3k
K. A. Gravois United States 22 1.3k 1.1× 310 0.6× 303 0.7× 66 0.6× 161 1.5× 72 1.4k
Thomas L. Tew United States 17 812 0.7× 397 0.7× 210 0.5× 26 0.2× 148 1.4× 47 1.0k
S. B. Milligan United States 16 764 0.6× 157 0.3× 323 0.7× 45 0.4× 72 0.7× 36 802
C. A. Kimbeng United States 20 911 0.7× 347 0.6× 346 0.8× 19 0.2× 111 1.0× 69 976
Edelclaiton Daros Brazil 17 976 0.8× 85 0.2× 166 0.4× 179 1.5× 132 1.2× 88 1.0k
Alessandro Jaquiel Waclawovsky Brazil 7 734 0.6× 279 0.5× 96 0.2× 42 0.4× 151 1.4× 17 836
Carolina Gimiliani Lembke Brazil 10 604 0.5× 318 0.6× 117 0.3× 33 0.3× 140 1.3× 14 703
Maria Marta Pastina Brazil 18 884 0.7× 188 0.3× 110 0.2× 41 0.4× 78 0.7× 47 1.0k
Xianming Wei Australia 12 593 0.5× 134 0.2× 185 0.4× 20 0.2× 28 0.3× 34 679
Mauro Alexandre Xavier Brazil 10 332 0.3× 169 0.3× 86 0.2× 68 0.6× 32 0.3× 35 427

Countries citing papers authored by P. A. Jackson

Since Specialization
Citations

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

Fields of papers citing papers by P. A. Jackson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of P. A. Jackson

This figure shows the co-authorship network connecting the top 25 collaborators of P. A. Jackson. A scholar is included among the top collaborators of P. A. Jackson 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. A. Jackson. P. A. Jackson 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.
Jun, Zhao, Liu JiaYong, P. A. Jackson, et al.. (2017). Genetic variation of four physiological indexes as impacted by water stress in sugarcane.. Zhongguo nongye Kexue. 50(1). 28–37. 1 indexed citations
2.
3.
Basnayake, J., P. A. Jackson, N. G. Inman‐Bamber, & Prakash Lakshmanan. (2015). Sugarcane for water-limited environments. Variation in stomatal conductance and its genetic correlation with crop productivity. Journal of Experimental Botany. 66(13). 3945–3958. 53 indexed citations
4.
Basnayake, J., P. A. Jackson, N. G. Inman‐Bamber, & Prakash Lakshmanan. (2012). Sugarcane for water-limited environments. Genetic variation in cane yield and sugar content in response to water stress. Journal of Experimental Botany. 63(16). 6023–6033. 88 indexed citations
5.
6.
Aitken, Karen S., et al.. (2008). Genetic control of yield related stalk traits in sugarcane. Theoretical and Applied Genetics. 117(7). 1191–1203. 56 indexed citations
7.
Jackson, P. A.. (2008). OXFORD REGIONAL ECONOMIC ATLAS OF WESTERN EUROPE. New Zealand Journal of Geography. 54(1). 40–40.
8.
Wang, Liping, P. A. Jackson, Xin Lu, et al.. (2008). Evaluation of Sugarcane × Saccharum spontaneum Progeny for Biomass Composition and Yield Components. Crop Science. 48(3). 951–961. 58 indexed citations
9.
Meijers, Judith, Jos M. G. A. Schols, P. A. Jackson, et al.. (2007). Evaluation of the dissemination and implementation of a nutritional guideline for pressure ulcer care. Journal of Wound Care. 16(5). 201–205. 5 indexed citations
10.
Piperidis, Nathalie, P. A. Jackson, Angélique D’Hont, et al.. (2007). Comparative genetics in sugarcane enables structured map enhancement and validation of marker-trait associations. Molecular Breeding. 21(2). 233–247. 22 indexed citations
11.
Wei, Xianming, P. A. Jackson, C. Lynne McIntyre, Karen S. Aitken, & B. J. Croft. (2006). Associations between DNA markers and resistance to diseases in sugarcane and effects of population substructure. Theoretical and Applied Genetics. 114(1). 155–164. 77 indexed citations
12.
Aitken, Karen S., P. A. Jackson, & C. Lynne McIntyre. (2006). Quantitative trait loci identified for sugar related traits in a sugarcane (Saccharum spp.) cultivar × Saccharum officinarum population. Theoretical and Applied Genetics. 112(7). 1306–1317. 62 indexed citations
13.
Aitken, Karen S., P. A. Jackson, & C. Lynne McIntyre. (2005). A combination of AFLP and SSR markers provides extensive map coverage and identification of homo(eo)logous linkage groups in a sugarcane cultivar. Theoretical and Applied Genetics. 110(5). 789–801. 144 indexed citations
14.
Casu, Rosanne E., John M. Manners, Graham D. Bonnett, et al.. (2005). Genomics approaches for the identification of genes determining important traits in sugarcane. Field Crops Research. 92(2-3). 137–147. 44 indexed citations
15.
Jackson, P. A.. (2005). Breeding for improved sugar content in sugarcane. Field Crops Research. 92(2-3). 277–290. 181 indexed citations
16.
Singh, Gurmit, Scott Chapman, P. A. Jackson, & R. J. Lawn. (2002). Lodging reduces sucrose accumulation of sugarcane in the wet and dry tropics. Australian Journal of Agricultural Research. 53(11). 1183–1195. 53 indexed citations
17.
Sherrard, Joseph H., et al.. (2001). Sugarcane smut: successful management in the Ord.. 43(4). 268–273. 6 indexed citations
18.
Singh, Gurmit, et al.. (1999). Yield accumulation in sugarcane under wet tropical conditions: effect of lodging and crop age. ResearchOnline at James Cook University (James Cook University). 241–245. 7 indexed citations
19.
Jackson, P. A. & T. A. McRae. (1998). Gains from selection of broadly adapted and specifically adapted sugarcane families. Field Crops Research. 59(3). 151–162. 22 indexed citations
20.
Jackson, P. A., et al.. (1992). Screening sugar cane clones for resistance to ratoon stunting disease.. 2–12. 7 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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