Rebecca Ford

5.6k total citations
148 papers, 3.6k citations indexed

About

Rebecca Ford is a scholar working on Plant Science, Molecular Biology and Ecology, Evolution, Behavior and Systematics. According to data from OpenAlex, Rebecca Ford has authored 148 papers receiving a total of 3.6k indexed citations (citations by other indexed papers that have themselves been cited), including 129 papers in Plant Science, 24 papers in Molecular Biology and 16 papers in Ecology, Evolution, Behavior and Systematics. Recurrent topics in Rebecca Ford's work include Genetic and Environmental Crop Studies (67 papers), Agricultural pest management studies (47 papers) and Legume Nitrogen Fixing Symbiosis (30 papers). Rebecca Ford is often cited by papers focused on Genetic and Environmental Crop Studies (67 papers), Agricultural pest management studies (47 papers) and Legume Nitrogen Fixing Symbiosis (30 papers). Rebecca Ford collaborates with scholars based in Australia, United States and China. Rebecca Ford's co-authors include P. W. J. Taylor, E. C. K. Pang, Nitin Mantri, Robert J. Redden, Tristan E. Coram, Peter K. Ades, W Photita, Prabhakaran Thanjavur Sambasivam, Ido Bar and Saisamorn Lumyong and has published in prestigious journals such as Journal of Biological Chemistry, SHILAP Revista de lepidopterología and PLoS ONE.

In The Last Decade

Rebecca Ford

145 papers receiving 3.4k citations

Peers

Rebecca Ford

EEBS

GENET

Gayle M. Volk United States

Juan Zalapa United States

Helen Ougham United Kingdom

Bryn T. M. Dentinger United States

Mervyn Shepherd Australia

Bruno Studer Switzerland

Marie Duhamel Netherlands

Simon G. Southerton Australia

Christopher Saski United States

Robert N. Trigiano United States

Gayle M. Volk United States

Rebecca Ford

2.5k ×0.8

564 ×1.0

EEBS

1.7k ×3.0

375 ×0.7

236 ×0.9

GENET

Citations per year, relative to Rebecca Ford Rebecca Ford (= 1×) peers Gayle M. Volk

Countries citing papers authored by Rebecca Ford

Since Specialization

Citations

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

Fields of papers citing papers by Rebecca Ford

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Rebecca Ford

This figure shows the co-authorship network connecting the top 25 collaborators of Rebecca Ford. A scholar is included among the top collaborators of Rebecca Ford 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 Rebecca Ford. Rebecca Ford is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

Wang, Fang, et al.. (2024). Dicyandiamide Applications Mitigate the Destructive Effects of Graphene Oxide on Microbial Activity, Diversity, and Composition and Nitrous Oxide Emission in Agricultural Soil. Journal of Agricultural and Food Chemistry. 72(39). 21449–21460. 1 indexed citations

Zhou, Jun, et al.. (2024). Early detection of sugarcane smut and mosaic diseases via hyperspectral imaging and spectral-spatial attention deep neural networks. Journal of Agriculture and Food Research. 18. 101369–101369. 11 indexed citations

Omidvar, Negar, Steven M. Ogbourne, Zhihong Xu, et al.. (2023). Effects of herbicides and mulch on the soil carbon, nitrogen, and microbial composition of two revegetated riparian zones over 3 years. Journal of Soils and Sediments. 23(7). 2766–2782. 5 indexed citations

Chakraborty, Moutoshi, et al.. (2023). Maximising Affordability of Real-Time Colorimetric LAMP Assays. Micromachines. 14(11). 2101–2101. 4 indexed citations

Chakraborty, Moutoshi, et al.. (2023). Ratoon Stunting Disease of Sugarcane: A Review Emphasizing Detection Strategies and Challenges. Phytopathology. 114(1). 7–20. 7 indexed citations

Kaashyap, Mayank, Rebecca Ford, Anita Mann, et al.. (2022). Comparative Flower Transcriptome Network Analysis Reveals DEGs Involved in Chickpea Reproductive Success during Salinity. Plants. 11(3). 434–434. 16 indexed citations

Bar, Ido, et al.. (2022). Biochemical, Sensory, and Molecular Evaluation of Flavour and Consumer Acceptability in Australian Papaya (Carica papaya L.) Varieties. International Journal of Molecular Sciences. 23(11). 6313–6313. 5 indexed citations

Bar, Ido, Prabhakaran Thanjavur Sambasivam, J. A. Davidson, et al.. (2021). Current population structure and pathogenicity patterns of Ascochyta rabiei in Australia. Microbial Genomics. 7(7). 20 indexed citations

Salisbury, P. A., et al.. (2019). Quantifying the colour loss of green field pea (Pisum sativum L.) due to bleaching. PLoS ONE. 14(8). e0221523–e0221523. 5 indexed citations

10.

Kumari, Nilima, et al.. (2014). In silico development and validation of EST derived new SSR markers for drought tolerance in Cicer arietinum L.. Indian Journal of Genetics and Plant Breeding (The). 74(2). 254–254. 6 indexed citations

11.

Vaghefi, Niloofar, et al.. (2013). A novel pathogenesis-related protein (LcPR4a) from lentil, and its involvement in defence against Ascochyta lentis. SHILAP Revista de lepidopterología. 17 indexed citations

12.

Mantri, Nitin, et al.. (2013). The role of miRNAs in legumes with a focus on abiotic stress response. The Plant Genome. 1–43. 8 indexed citations

13.

Panozzo, Joe, et al.. (2011). Quantitative trait loci analysis of seed coat color components for selective breeding in chickpea (Cicer arietinum L.). BioOne Complete (BioOne). 10 indexed citations

14.

Ford, Rebecca, et al.. (2010). Development of a selection tool for seed shape and QTL analysis of seed shape with other morphological traits for selective breeding in chickpea (Cicer arietinum L.). Australian Journal of Crop Science. 4(4). 278–288. 25 indexed citations

15.

Ford, Rebecca, et al.. (2010). Inheritance of Seed Size in Chickpea ('Cicer arietinum' L.) and Identification of QTL Based on 100-seed Weight and Seed Size Index. Australian Journal of Crop Science. 4(2). 126–135. 61 indexed citations

16.

Ades, Peter K., et al.. (2009). Population diversity of Doryanthes excelsa (Doryanthaceae) in eastern Australia. Publication Server of Goethe University Frankfurt am Main (Goethe University Frankfurt). 11(2). 1 indexed citations

17.

Ford, Rebecca, et al.. (2008). Status of the Botrytis cinerea species complex and microsatellite analysis of transposon types in South Asia and Australia. Fungal Diversity. 29. 29 indexed citations

18.

Taylor, P. W. J., et al.. (2008). Isolation and characterization of o-acetylserine (thiol) lyase, an enzyme of the cysteine biosynthetic pathway of vetch (Vicia sativa L.).. Australian Journal of Crop Science. 2(3). 96–104. 1 indexed citations

19.

Photita, W, P. W. J. Taylor, Rebecca Ford, KD Hyde, & Saisamorn Lumyong. (2005). Morphological and molecular characterization of Colletotrichum species from herbaceous plants in Thailand. Fungal Diversity. 18. 159 indexed citations

20.

Ford, Rebecca, et al.. (2002). Genome-specific sequence tagged microsatellite site (STMS) markers for diversity analysis and genotyping in Pisum species.. Euphytica. 124. 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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