Eswarayya Ramireddy

1.3k total citations
30 papers, 958 citations indexed

About

Eswarayya Ramireddy is a scholar working on Plant Science, Molecular Biology and Genetics. According to data from OpenAlex, Eswarayya Ramireddy has authored 30 papers receiving a total of 958 indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Plant Science, 11 papers in Molecular Biology and 6 papers in Genetics. Recurrent topics in Eswarayya Ramireddy's work include Plant Molecular Biology Research (13 papers), Plant nutrient uptake and metabolism (10 papers) and Plant Reproductive Biology (8 papers). Eswarayya Ramireddy is often cited by papers focused on Plant Molecular Biology Research (13 papers), Plant nutrient uptake and metabolism (10 papers) and Plant Reproductive Biology (8 papers). Eswarayya Ramireddy collaborates with scholars based in India, Germany and United States. Eswarayya Ramireddy's co-authors include Thomas Schmülling, Ling Chang, Alexander Heyl, Wolfram G. Brenner, Seyed Abdollah Hosseini, Kai Eggert, Nicolaus von Wirén, Joke Allemeersch, Michael Riefler and Ondřej Novák and has published in prestigious journals such as Proceedings of the National Academy of Sciences, PLANT PHYSIOLOGY and Scientific Reports.

In The Last Decade

Eswarayya Ramireddy

27 papers receiving 941 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Eswarayya Ramireddy India 16 881 453 38 36 32 30 958
Xiangbo Duan China 13 1.1k 1.2× 524 1.2× 33 0.9× 31 0.9× 36 1.1× 24 1.2k
Omar Zayed United States 6 852 1.0× 498 1.1× 31 0.8× 27 0.8× 22 0.7× 9 964
Shujuan Zhang China 11 567 0.6× 198 0.4× 33 0.9× 22 0.6× 24 0.8× 18 660
Jana Moravčí­ková Slovakia 18 665 0.8× 382 0.8× 19 0.5× 38 1.1× 14 0.4× 66 815
Xiaolong Huang China 15 466 0.5× 291 0.6× 60 1.6× 51 1.4× 11 0.3× 32 598
Zahra‐Sadat Shobbar Iran 17 652 0.7× 300 0.7× 81 2.1× 19 0.5× 44 1.4× 33 750
Xavier Zarza Netherlands 16 958 1.1× 655 1.4× 19 0.5× 30 0.8× 16 0.5× 16 1.1k
Jana Libantová Slovakia 17 577 0.7× 352 0.8× 31 0.8× 44 1.2× 8 0.3× 51 736
Chongying Wang China 19 866 1.0× 382 0.8× 21 0.6× 115 3.2× 29 0.9× 37 971
Amal Harb Jordan 7 735 0.8× 240 0.5× 22 0.6× 33 0.9× 43 1.3× 15 804

Countries citing papers authored by Eswarayya Ramireddy

Since Specialization
Citations

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

Fields of papers citing papers by Eswarayya Ramireddy

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Eswarayya Ramireddy

This figure shows the co-authorship network connecting the top 25 collaborators of Eswarayya Ramireddy. A scholar is included among the top collaborators of Eswarayya Ramireddy 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 Eswarayya Ramireddy. Eswarayya Ramireddy 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.
Shukla, Vishnu, et al.. (2025). Integrative spatial transcriptomic analysis pinpoints the role of the ferroxidase, TaMCO3 , in wheat root tip iron mobilization. The Plant Journal. 122(2). e70188–e70188. 1 indexed citations
2.
Gupta, Vivek, et al.. (2025). Machine learning - based optimization of integrated extraction method for R-phycoerythrin from dry biomass of Gracilaria corticata. Algal Research. 88. 103986–103986. 1 indexed citations
3.
4.
Gupta, Vivek, et al.. (2024). Ultrasound-Assisted Extraction of Betalains from the Amaranthus Using Natural Deep Eutectic Solvents. Plant Foods for Human Nutrition. 80(1). 15–15. 3 indexed citations
5.
6.
Shukla, Vishnu, et al.. (2022). Root Cap to Soil Interface: A Driving Force Toward Plant Adaptation and Development. Plant and Cell Physiology. 63(8). 1038–1051. 16 indexed citations
7.
Vemireddy, Lakshminarayana R., et al.. (2022). Identification of molecular markers and putative candidate genes associated with early seedling vigour traits in rice (Oryza sativa L.). Revista Brasileira de Botânica. 46(1). 35–49. 1 indexed citations
8.
Shukla, Vishnu, Vijaya S.R. Kola, P. Latha, et al.. (2022). Yield-associated putative gene regulatory networks in Oryza sativa L. subsp. indica and their association with high-yielding genotypes. Molecular Biology Reports. 49(8). 7649–7663. 2 indexed citations
9.
Witzel, Katja, Andrea Matros, Uwe Bertsch, et al.. (2021). The Jacalin-Related Lectin HvHorcH Is Involved in the Physiological Response of Barley Roots to Salt Stress. International Journal of Molecular Sciences. 22(19). 10248–10248. 13 indexed citations
10.
Zamarreño, Ángel M., Gabriel Castrillo, Thomas Schmülling, et al.. (2020). Cytokinin Determines Thiol-Mediated Arsenic Tolerance and Accumulation. UNC Libraries. 30 indexed citations
11.
Choudhary, Bibha, et al.. (2020). Classification of Grain Amaranths Using Chromosome-Level Genome Assembly of Ramdana, A. hypochondriacus. Frontiers in Plant Science. 11. 579529–579529. 9 indexed citations
12.
Vemireddy, Lakshminarayana R., Vijaya S.R. Kola, Eswarayya Ramireddy, et al.. (2019). Uncovering of natural allelic variants of key yield contributing genes by targeted resequencing in rice (Oryza sativa L.). Scientific Reports. 9(1). 8192–8192. 6 indexed citations
13.
Nehnevajova, Erika, Eswarayya Ramireddy, Andrea Stolz, et al.. (2019). Root enhancement in cytokinin-deficient oilseed rape causes leaf mineral enrichment, increases the chlorophyll concentration under nutrient limitation and enhances the phytoremediation capacity. BMC Plant Biology. 19(1). 83–83. 26 indexed citations
14.
15.
Castrillo, Gabriel, Cristina Navarro, Eswarayya Ramireddy, et al.. (2016). Cytokinin determines thiol-mediated arsenic tolerance and accumulation in Arabidopsis thaliana. PLANT PHYSIOLOGY. 171(2). pp.00372.2016–pp.00372.2016. 35 indexed citations
16.
Siddique, Shahid, Zoran S. Radaković, Demosthenis Chronis, et al.. (2015). A parasitic nematode releases cytokinin that controls cell division and orchestrates feeding site formation in host plants. Proceedings of the National Academy of Sciences. 112(41). 12669–12674. 114 indexed citations
17.
Ramireddy, Eswarayya, Ling Chang, & Thomas Schmülling. (2014). Cytokinin as a mediator for regulating root system architecture in response to environmental cues. Plant Signaling & Behavior. 9(1). e27771–e27771. 43 indexed citations
18.
Ramireddy, Eswarayya, et al.. (2013). In Planta Analysis of a cis-Regulatory Cytokinin Response Motif in Arabidopsis and Identification of a Novel Enhancer Sequence. Plant and Cell Physiology. 54(7). 1079–1092. 42 indexed citations
19.
Chang, Ling, Eswarayya Ramireddy, & Thomas Schmülling. (2013). Lateral root formation and growth of Arabidopsis is redundantly regulated by cytokinin metabolism and signalling genes. Journal of Experimental Botany. 64(16). 5021–5032. 83 indexed citations
20.
Brenner, Wolfram G., Eswarayya Ramireddy, Alexander Heyl, & Thomas Schmülling. (2012). Gene Regulation by Cytokinin in Arabidopsis. Frontiers in Plant Science. 3. 8–8. 138 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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