Sribash Roy

608 total citations
23 papers, 439 citations indexed

About

Sribash Roy is a scholar working on Plant Science, Molecular Biology and Biotechnology. According to data from OpenAlex, Sribash Roy has authored 23 papers receiving a total of 439 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Plant Science, 12 papers in Molecular Biology and 4 papers in Biotechnology. Recurrent topics in Sribash Roy's work include Plant Molecular Biology Research (8 papers), Plant Gene Expression Analysis (5 papers) and Plant Stress Responses and Tolerance (3 papers). Sribash Roy is often cited by papers focused on Plant Molecular Biology Research (8 papers), Plant Gene Expression Analysis (5 papers) and Plant Stress Responses and Tolerance (3 papers). Sribash Roy collaborates with scholars based in India, Ireland and United States. Sribash Roy's co-authors include Antariksh Tyagi, Lal Babu Chaudhary, Rakesh Tuli, Pradhyumna Kumar Singh, Virendra Shukla, Sumit Kumar Bag, Akanksha Singh, Uma Maheshwar Singh, Tariq Husain and Anil Kumar and has published in prestigious journals such as PLoS ONE, Scientific Reports and The Plant Journal.

In The Last Decade

Sribash Roy

22 papers receiving 419 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Sribash Roy India 12 263 188 93 84 54 23 439
Fatemeh Maghuly Austria 16 289 1.1× 401 2.1× 33 0.4× 71 0.8× 62 1.1× 46 666
Fumio Ihara Japan 15 227 0.9× 124 0.7× 131 1.4× 76 0.9× 48 0.9× 37 570
Jonghyun Park South Korea 14 366 1.4× 189 1.0× 79 0.8× 132 1.6× 83 1.5× 54 580
C. de F. Fernandes Brazil 13 127 0.5× 329 1.8× 42 0.5× 55 0.7× 25 0.5× 69 503
Bo Tian China 14 299 1.1× 374 2.0× 124 1.3× 87 1.0× 12 0.2× 31 612
Frédérique Weber‐Lotfi France 11 560 2.1× 309 1.6× 66 0.7× 74 0.9× 19 0.4× 23 746
Kristina Zumstein United States 14 595 2.3× 877 4.7× 84 0.9× 103 1.2× 58 1.1× 14 1.1k
Shuai Yang China 13 197 0.7× 265 1.4× 45 0.5× 45 0.5× 13 0.2× 38 438
Hieronim Golczyk Poland 17 478 1.8× 488 2.6× 94 1.0× 137 1.6× 18 0.3× 33 769
Nicoletta Ferradini Italy 12 275 1.0× 322 1.7× 62 0.7× 57 0.7× 74 1.4× 27 448

Countries citing papers authored by Sribash Roy

Since Specialization
Citations

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

Fields of papers citing papers by Sribash Roy

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sribash Roy

This figure shows the co-authorship network connecting the top 25 collaborators of Sribash Roy. A scholar is included among the top collaborators of Sribash Roy 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 Sribash Roy. Sribash Roy 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.
Roy, Sribash, et al.. (2025). Low frequency radio observation of the dark PeVatron 1LHAASO J2108+5153u using uGMRT. Journal of High Energy Astrophysics. 47. 100381–100381.
2.
3.
Singh, Akanksha, Varun Dwivedi, Shiv Narayan, et al.. (2023). Indian Himalayan natural Arabidopsis thaliana accessions with abolished miR158 levels exhibit robust miR173‐initiated trans‐acting cascade silencing. The Plant Journal. 114(4). 855–874. 1 indexed citations
4.
Singh, Akanksha, et al.. (2022). Population specific methylome remodeling in high and low elevation populations of Indian west Himalayan Arabidopsis thaliana in response to elevated CO2. Environmental and Experimental Botany. 203. 105074–105074. 3 indexed citations
5.
Singh, Akanksha, et al.. (2019). Modulation of miRNA expression in natural populations of A. thaliana along a wide altitudinal gradient of Indian Himalayas. Scientific Reports. 9(1). 441–441. 13 indexed citations
6.
Niranjan, Abhishek, et al.. (2018). Global gene expression and pigment analysis of two contrasting flower color cultivars of Canna. Plant Physiology and Biochemistry. 127. 1–10. 10 indexed citations
7.
Singh, Akanksha & Sribash Roy. (2017). High altitude population of Arabidopsis thaliana is more plastic and adaptive under common garden than controlled condition. BMC Ecology. 17(1). 39–39. 14 indexed citations
8.
Saikia, Siddhartha Proteem, et al.. (2017). Global gene expression pattern in a forest tree species, Tectona grandis (Linn. F.), under limited water supply. Tree Genetics & Genomes. 13(3). 4 indexed citations
9.
Tyagi, Antariksh, et al.. (2016). High light intensity plays a major role in emergence of population level variation in Arabidopsis thaliana along an altitudinal gradient. Scientific Reports. 6(1). 26160–26160. 13 indexed citations
10.
Roy, Sribash, et al.. (2016). Identification and Expression Analyses of miRNAs from Two Contrasting Flower Color Cultivars of Canna by Deep Sequencing. PLoS ONE. 11(1). e0147499–e0147499. 21 indexed citations
11.
Tyagi, Antariksh, et al.. (2015). Genetic diversity and population structure ofArabidopsis thalianaalong an altitudinal gradient. AoB Plants. 8. 20 indexed citations
12.
Singh, Akanksha, et al.. (2015). Morphological Trait Variations in the West Himalayan (India) Populations of Arabidopsis thaliana along Altitudinal Gradients. Current Science. 108(12). 2213–2222. 11 indexed citations
13.
Verma, Praveen C., et al.. (2014). Expression of Rabies Glycoprotein and Ricin Toxin B Chain (RGP–RTB) Fusion Protein in Tomato Hairy Roots: A Step Towards Oral Vaccination for Rabies. Molecular Biotechnology. 57(4). 359–370. 26 indexed citations
14.
Tyagi, Antariksh, Anoop Kumar, Akanksha Singh, et al.. (2013). The Internal Transcribed Spacer (ITS) Region and trnhH-psbA Are Suitable Candidate Loci for DNA Barcoding of Tropical Tree Species of India. PLoS ONE. 8(2). e57934–e57934. 72 indexed citations
15.
Roy, Sribash, Antariksh Tyagi, Virendra Shukla, et al.. (2010). Universal Plant DNA Barcode Loci May Not Work in Complex Groups: A Case Study with Indian Berberis Species. PLoS ONE. 5(10). e13674–e13674. 152 indexed citations
16.
Dhar, Arun K., Dilip K. Lakshman, Keenan Amundsen, et al.. (2010). Characterization of a Taura syndrome virus isolate originating from the 2004 Texas epizootic in cultured shrimp. Archives of Virology. 155(3). 315–327. 12 indexed citations
17.
Tyagi, Antariksh, Sumit Kumar Bag, Virendra Shukla, Sribash Roy, & Rakesh Tuli. (2010). Oligonucleotide Frequencies of Barcoding Loci Can Discriminate Species across Kingdoms. PLoS ONE. 5(8). e12330–e12330. 10 indexed citations
18.
Roy, Sribash, Antariksh Tyagi, Siddharth Tiwari, et al.. (2009). Rabies glycoprotein fused with B subunit of cholera toxin expressed in tobacco plants folds into biologically active pentameric protein. Protein Expression and Purification. 70(2). 184–190. 21 indexed citations
19.
Tiwari, Siddharth, et al.. (2009). High level expression of a functionally active cholera toxin B: rabies glycoprotein fusion protein in tobacco seeds. Plant Cell Reports. 28(12). 1827–1836. 12 indexed citations
20.
Roy, Sribash, S. K. Mukherjee, & Somnath Bhattacharyya. (2007). Analysis of diversity of Phytophthora species prevalent on some common economically important crops through morphological and molecular methods.. Journal of Mycopathological research. 45(1). 122–128. 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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