George Piperidis

889 total citations
29 papers, 613 citations indexed

About

George Piperidis is a scholar working on Plant Science, Surgery and Biomedical Engineering. According to data from OpenAlex, George Piperidis has authored 29 papers receiving a total of 613 indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Plant Science, 12 papers in Surgery and 11 papers in Biomedical Engineering. Recurrent topics in George Piperidis's work include Sugarcane Cultivation and Processing (22 papers), Natural Products and Biological Research (12 papers) and Biofuel production and bioconversion (11 papers). George Piperidis is often cited by papers focused on Sugarcane Cultivation and Processing (22 papers), Natural Products and Biological Research (12 papers) and Biofuel production and bioconversion (11 papers). George Piperidis collaborates with scholars based in Australia, China and France. George Piperidis's co-authors include Nathalie Piperidis, Angélique D’Hont, Angélique D’Hont, Karen S. Aitken, N. Berding, Bernard J. Carroll, Jack Christopher, C. Lynne McIntyre, Peter Jackson and D. M. Hogarth and has published in prestigious journals such as Crop Science, Plant Science and Plant Disease.

In The Last Decade

George Piperidis

26 papers receiving 576 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
George Piperidis Australia 13 581 353 196 104 31 29 613
Bakshi Ram India 18 649 1.1× 197 0.6× 185 0.9× 164 1.6× 19 0.6× 59 700
L. Grivet France 11 849 1.5× 523 1.5× 230 1.2× 138 1.3× 29 0.9× 11 887
Jean-Yves Hoarau France 14 935 1.6× 509 1.4× 298 1.5× 65 0.6× 18 0.6× 29 968
N. V. Nair India 16 641 1.1× 307 0.9× 321 1.6× 70 0.7× 24 0.8× 50 686
Florence Paulet France 12 704 1.2× 370 1.0× 173 0.9× 145 1.4× 40 1.3× 25 745
T. V. Sreenivasan India 11 375 0.6× 174 0.5× 145 0.7× 73 0.7× 23 0.7× 29 402
A. Selvi India 16 764 1.3× 345 1.0× 262 1.3× 147 1.4× 20 0.6× 35 828
C. A. Kimbeng United States 20 911 1.6× 347 1.0× 346 1.8× 111 1.1× 110 3.5× 69 976
G. Hemaprabha India 14 658 1.1× 149 0.4× 245 1.3× 119 1.1× 8 0.3× 76 707
John C. Veremis United States 14 505 0.9× 152 0.4× 124 0.6× 49 0.5× 45 1.5× 19 532

Countries citing papers authored by George Piperidis

Since Specialization
Citations

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

Fields of papers citing papers by George Piperidis

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of George Piperidis

This figure shows the co-authorship network connecting the top 25 collaborators of George Piperidis. A scholar is included among the top collaborators of George Piperidis 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 George Piperidis. George Piperidis 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.
Wei, Xianming, et al.. (2021). Sugarcane Breeding in Australia. Sugar Tech. 24(1). 151–165. 11 indexed citations
2.
Bhuiyan, Shamsul A., et al.. (2019). Saccharum spontaneum, a Novel Source of Resistance to Root-Lesion and Root-Knot Nematodes in Sugarcane. Plant Disease. 103(9). 2288–2294. 7 indexed citations
3.
Bhuiyan, Shamsul A., et al.. (2019). Field evaluation of selected introgression clones for their resistance to root-knot nematodes. Queensland's institutional digital repository (The University of Queensland). 314–319.
4.
McNeil, Meredith, George Piperidis, Shamsul A. Bhuiyan, et al.. (2017). Development of a high-throughput, low-cost SNP genotyping panel for sugarcane breeding. Queensland's institutional digital repository (The University of Queensland). 304–311. 4 indexed citations
5.
Wei, Xianming, et al.. (2017). Parental improvement in the SRA sugarcane breeding program. Queensland's institutional digital repository (The University of Queensland). 39(1). 288–295. 3 indexed citations
6.
7.
Croft, B. J., Shamsul A. Bhuiyan, R. C. Magarey, et al.. (2015). New sources of resistance to major diseases from wild relatives of sugarcane.. Queensland's institutional digital repository (The University of Queensland). 218–226. 4 indexed citations
8.
Qing, Cai, Karen S. Aitken, Yuanhong Fan, et al.. (2011). Assessment of the genetic diversity in a collection of Erianthus arundinaceus. Genetic Resources and Crop Evolution. 59(7). 1483–1491. 16 indexed citations
9.
Piperidis, George, Nathalie Piperidis, & Angélique D’Hont. (2010). Molecular cytogenetic investigation of chromosome composition and transmission in sugarcane. Molecular Genetics and Genomics. 284(1). 65–73. 128 indexed citations
10.
Heller-Uszyńska, Katarzyna, Grzegorz Uszyński, Eric Huttner, et al.. (2010). Diversity Arrays Technology effectively reveals DNA polymorphism in a large and complex genome of sugarcane. Molecular Breeding. 28(1). 37–55. 48 indexed citations
11.
Aitken, Karen S., et al.. (2006). AFLP analysis of genetic diversity within Saccharum officinarum and comparison with sugarcane cultivars. Australian Journal of Agricultural Research. 57(11). 1167–1167. 37 indexed citations
12.
Cai, Qinghua, et al.. (2005). Assessment of the phylogenetic relationships within the “{\sl Saccharum} complex” using AFLP markers. Zuo wu xue bao. 31(5). 551–559. 6 indexed citations
13.
Qing, Cai, Karen S. Aitken, Yuanhong Fan, et al.. (2005). A preliminary assessment of the genetic relationship between Erianthus rockii and the “Saccharum complex” using microsatellite (SSR) and AFLP markers. Plant Science. 169(5). 976–984. 46 indexed citations
14.
Aitken, Karen S., Christopher P. L. Grof, P. Jackson, et al.. (2001). Introgression of S. officinarum - a biochemical and molecular marker approach to improve CCS.. 567–572. 1 indexed citations
15.
McIntyre, C. Lynne, Karen S. Aitken, N. Berding, et al.. (2001). Identification of DNA markers linked to agronomic traits in sugarcane in Australia.. 560–562. 7 indexed citations
16.
Piperidis, George, Angélique D’Hont, & D. M. Hogarth. (2001). Chromosome composition analysis of various Saccharum interspecific hybrids by genomic in situ hybridisation (GISH).. 565–566. 35 indexed citations
17.
Cox, M. C., et al.. (2001). Plant breeder's rights - protecting the sugar industry's investment in varietal development.. 142–147. 1 indexed citations
18.
Piperidis, George, G O Taylor, Gerald R. Smith, & D. M. Hogarth. (2001). A microsatellite marker database for fingerprinting sugarcane clones.. 632–633. 12 indexed citations
19.
Godwin, Ian D., et al.. (1997). RAPD polymorphisms among variant and phenotypically normal rice (Oryza sativa var.indica) somaclonal progenies. Plant Cell Reports. 16(5). 320–324. 31 indexed citations
20.
Piperidis, George, et al.. (1996). The hypersensitive reaction to bacterial canker in Mirabilis jalapa is simply inherited. Australasian Plant Pathology. 25(1). 64–64. 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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