Ginny Antony

2.4k total citations · 1 hit paper
20 papers, 1.7k citations indexed

About

Ginny Antony is a scholar working on Plant Science, Molecular Biology and Genetics. According to data from OpenAlex, Ginny Antony has authored 20 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Plant Science, 6 papers in Molecular Biology and 3 papers in Genetics. Recurrent topics in Ginny Antony's work include Plant-Microbe Interactions and Immunity (6 papers), Plant Pathogenic Bacteria Studies (6 papers) and Banana Cultivation and Research (3 papers). Ginny Antony is often cited by papers focused on Plant-Microbe Interactions and Immunity (6 papers), Plant Pathogenic Bacteria Studies (6 papers) and Banana Cultivation and Research (3 papers). Ginny Antony collaborates with scholars based in India, United States and China. Ginny Antony's co-authors include Frank F. White, Hitomi Takanaga, Mara L. Hartung, Sylvie Lalonde, Li‐Qing Chen, Woei‐Jiun Guo, William Underwood, Shauna Somerville, Wolf B. Frommer and Mary Beth Mudgett and has published in prestigious journals such as Nature, Nature Communications and SHILAP Revista de lepidopterología.

In The Last Decade

Ginny Antony

18 papers receiving 1.7k citations

Hit Papers

Sugar transporters for intercellular exchange and nutriti... 2010 2026 2015 2020 2010 250 500 750 1000

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ginny Antony India 8 1.6k 501 84 67 57 20 1.7k
Jianbin Su China 19 1.8k 1.1× 1.1k 2.2× 106 1.3× 82 1.2× 75 1.3× 30 2.2k
Véronique Brunaud France 21 1.2k 0.8× 873 1.7× 51 0.6× 89 1.3× 20 0.4× 38 1.5k
Mihir K. Mandal United States 14 946 0.6× 295 0.6× 91 1.1× 61 0.9× 39 0.7× 26 1.1k
Bernard Cannoot Belgium 15 923 0.6× 665 1.3× 69 0.8× 37 0.6× 36 0.6× 16 1.1k
Jacques Rouster France 13 752 0.5× 492 1.0× 56 0.7× 90 1.3× 55 1.0× 19 937
Zheng‐Yi Xu China 24 1.8k 1.1× 1.3k 2.6× 147 1.8× 71 1.1× 22 0.4× 43 2.2k
Alois Schweighofer Austria 14 1.8k 1.1× 1.2k 2.3× 131 1.6× 31 0.5× 59 1.0× 19 2.0k
Sung Han Ok South Korea 20 1.0k 0.6× 872 1.7× 54 0.6× 67 1.0× 50 0.9× 33 1.3k
Ying‐Gao Liu China 15 831 0.5× 459 0.9× 89 1.1× 38 0.6× 22 0.4× 38 1.1k
Jean Bigeard France 18 1.7k 1.0× 746 1.5× 133 1.6× 33 0.5× 85 1.5× 24 1.9k

Countries citing papers authored by Ginny Antony

Since Specialization
Citations

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

Fields of papers citing papers by Ginny Antony

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ginny Antony

This figure shows the co-authorship network connecting the top 25 collaborators of Ginny Antony. A scholar is included among the top collaborators of Ginny Antony 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 Ginny Antony. Ginny Antony 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.
Antony, Ginny, et al.. (2025). Amplicon sequencing reveals growth-associated microbial communities in black tiger shrimp (Penaeus monodon). Microbial Pathogenesis. 205. 107636–107636.
2.
Muralikrishna, K. S., et al.. (2024). Resistance gene analogs (RGAs) of coconut respond differentially to Phytophthora palmivora and exogenous salicylic acid and methyl jasmonate. Plant Physiology Reports. 29(2). 421–437. 1 indexed citations
3.
Grace, Tony, et al.. (2022). TAL effectors and the predicted host targets of pomegranate bacterial blight pathogen Xanthomonas citri pv. punicae. Current Genetics. 68(3-4). 361–373. 3 indexed citations
4.
5.
Grace, Tony, et al.. (2022). Long-read genome sequence data of pomegranate bacterial blight pathogen Xanthomonas citri pv. punicae 119. Data in Brief. 46. 108849–108849. 1 indexed citations
6.
Antony, Ginny, et al.. (2022). Development and characterization of non-coding RNA-derived simple sequence repeat markers in coconut (Cocos nucifera L.). Functional & Integrative Genomics. 22(6). 1243–1251. 2 indexed citations
7.
Antony, Ginny, et al.. (2022). Viral Derived Mirnas in OrNV- <i>Oryctes Rhinoceros</i> Interaction. SSRN Electronic Journal. 1 indexed citations
8.
Antony, Ginny, et al.. (2022). Computational identification of putative copper-binding proteins in pomegranate bacterial blight pathogen Xanthomonas citri pv. punicae. Archives of Microbiology. 204(7). 362–362. 1 indexed citations
9.
Antony, Ginny, et al.. (2021). A rapid in vitro leaf inoculation assay to investigate Phytophthora palmivora –coconut interactions. Journal of Phytopathology. 169(5). 316–328. 6 indexed citations
10.
Antony, Ginny, et al.. (2021). Draft genome sequence, annotation and SSR mining data of Oryctes rhinoceros Linn. (Coleoptera: Scarabaeidae), the coconut rhinoceros beetle. SHILAP Revista de lepidopterología. 38. 107424–107424. 1 indexed citations
11.
Rajesh, M. K., et al.. (2020). Dynamic changes in the expression pattern of miRNAs and associated target genes during coconut somatic embryogenesis. Planta. 251(4). 79–79. 16 indexed citations
12.
Antony, Ginny, et al.. (2018). In silico identification of microRNAs and their targets associated with coconut embryogenic calli. 7. 59–65. 12 indexed citations
13.
Li, Hongbing, Tariq Mahmood, Ginny Antony, et al.. (2016). The non-host pathogen Puccinia triticina elicits an active transcriptional response in rice. European Journal of Plant Pathology. 147(3). 553–569. 3 indexed citations
14.
Huang, Sheng, Ginny Antony, Ting Li, et al.. (2016). The broadly effective recessive resistance gene xa5 of rice is a virulence effector‐dependent quantitative trait for bacterial blight. The Plant Journal. 86(2). 186–194. 48 indexed citations
15.
Liu, Xuming, Chitvan Khajuria, Jiarui Li, et al.. (2013). Wheat Mds-1 encodes a heat-shock protein and governs susceptibility towards the Hessian fly gall midge. Nature Communications. 4(1). 2070–2070. 35 indexed citations
16.
Nelson, James C., Shichen Wang, Yuye Wu, et al.. (2011). Single-nucleotide polymorphism discovery by high-throughput sequencing in sorghum. BMC Genomics. 12(1). 352–352. 54 indexed citations
17.
Chen, Li‐Qing, Sylvie Lalonde, Hitomi Takanaga, et al.. (2010). Sugar transporters for intercellular exchange and nutrition of pathogens. Nature. 468(7323). 527–532. 1178 indexed citations breakdown →
18.
Antony, Ginny, Junhui Zhou, Sheng Huang, et al.. (2010). Rice xa13 Recessive Resistance to Bacterial Blight Is Defeated by Induction of the Disease Susceptibility Gene Os-11N3  . The Plant Cell. 22(11). 3864–3876. 372 indexed citations
19.
Praveen, Shelly, Anil Kumar Mishra, & Ginny Antony. (2005). Viral Suppression in Transgenic Plants Expressing Chimeric Transgene from Tomato Leaf Curl Virus and Cucumber Mosaic Virus. Plant Cell Tissue and Organ Culture (PCTOC). 84(1). 49–55. 9 indexed citations
20.
Antony, Ginny, et al.. (2005). A Single Chimeric Transgene Derived from Two Distinct Viruses for Multiple Virus Reslstance. Journal of Plant Biochemistry and Biotechnology. 14(2). 101–105. 2 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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