B. Sailaja

448 total citations
19 papers, 282 citations indexed

About

B. Sailaja is a scholar working on Plant Science, Endocrinology and Molecular Biology. According to data from OpenAlex, B. Sailaja has authored 19 papers receiving a total of 282 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Plant Science, 3 papers in Endocrinology and 2 papers in Molecular Biology. Recurrent topics in B. Sailaja's work include Rice Cultivation and Yield Improvement (6 papers), Plant Stress Responses and Tolerance (4 papers) and Plant Molecular Biology Research (4 papers). B. Sailaja is often cited by papers focused on Rice Cultivation and Yield Improvement (6 papers), Plant Stress Responses and Tolerance (4 papers) and Plant Molecular Biology Research (4 papers). B. Sailaja collaborates with scholars based in India and Philippines. B. Sailaja's co-authors include Satendra K. Mangrauthia, S. R. Voleti, D. Subrahmanyam, Sarla Neelamraju, Surekha Agarwal, V. P. Bhadana, B. C. Viraktamath, Vijai Pal Bhadana, S. M. Balachandran and R. M. Sundaram and has published in prestigious journals such as Frontiers in Plant Science, Plant Molecular Biology and Current Science.

In The Last Decade

B. Sailaja

17 papers receiving 274 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
B. Sailaja India	9	255	72	25	21	19	19	282
Dipak Sharma‐Poudyal United States	10	363 1.4×	74 1.0×	16 0.6×	40 1.9×	28 1.5×	22	386
Francisco Vilela Resende Brazil	10	290 1.1×	87 1.2×	14 0.6×	22 1.0×	8 0.4×	38	306
Yang Tiezhao China	10	232 0.9×	78 1.1×	10 0.4×	15 0.7×	7 0.4×	35	286
Luis E. del Río Mendoza United States	11	296 1.2×	48 0.7×	18 0.7×	37 1.8×	17 0.9×	38	310
Reem Aboukhaddour Canada	13	449 1.8×	68 0.9×	11 0.4×	35 1.7×	53 2.8×	48	471
Jiakui Zheng China	7	246 1.0×	72 1.0×	7 0.3×	20 1.0×	102 5.4×	32	284
Masataka Aino Japan	14	502 2.0×	31 0.4×	11 0.4×	10 0.5×	6 0.3×	24	523
Priyanka Sharma Australia	3	222 0.9×	94 1.3×	26 1.0×	9 0.4×	104 5.5×	4	297
Ángela S. Prudencio Spain	11	284 1.1×	179 2.5×	19 0.8×	3 0.1×	15 0.8×	25	320
Mathieu Gonin France	8	297 1.2×	104 1.4×	6 0.2×	10 0.5×	44 2.3×	11	343

Countries citing papers authored by B. Sailaja

Since Specialization

Citations

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

Fields of papers citing papers by B. Sailaja

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of B. Sailaja

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

All Works

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19 of 19 papers shown

Sailaja, B., et al.. (2024). Spatial temperature prediction—a machine learning and GIS perspective. Theoretical and Applied Climatology. 155(11). 9619–9642.

Chopperla, Ramakrishna, Vimala Venkatesh, B. Sailaja, et al.. (2019). Pectin induced transcriptome of a Rhizoctonia solani strain causing sheath blight disease in rice reveals insights on key genes and RNAi machinery for development of pathogen derived resistance. Plant Molecular Biology. 100(1-2). 59–71. 42 indexed citations

Sailaja, B., et al.. (2019). Spatial Rice Decision Support System for Effective Rice Crop Management. Current Science. 116(3). 412–412. 4 indexed citations

Mangrauthia, Satendra K., B. Sailaja, Surekha Agarwal, et al.. (2018). Deep sequencing of small RNAs reveals ribosomal origin of microRNAs in Oryza sativa and their regulatory role in high temperature. Gene Reports. 11. 270–278. 7 indexed citations

Rao, C.A. Rama, et al.. (2017). Cyber extension for better nutritional security: Some developments and perspectives. AGRICULTURE UPDATE. 12(4). 696–705. 1 indexed citations

Sailaja, B., et al.. (2017). Expression Analysis of Novel microRNAs in Rice During High Temperature Stress. 1 indexed citations

Jha, Mukund, et al.. (2017). Delineation of gene expression pattern in rice under Rice tungro virus and green leafhopper infestation. 2 indexed citations

Mangrauthia, Satendra K., Surekha Agarwal, B. Sailaja, Sarla Neelamraju, & S. R. Voleti. (2016). Transcriptome Analysis of Oryza sativa (Rice) Seed Germination at High Temperature Shows Dynamics of Genome Expression Associated with Hormones Signalling and Abiotic Stress Pathways. Tropical Plant Biology. 9(4). 215–228. 29 indexed citations

Sailaja, B., et al.. (2015). Integrated Physiological, Biochemical, and Molecular Analysis Identifies Important Traits and Mechanisms Associated with Differential Response of Rice Genotypes to Elevated Temperature. Frontiers in Plant Science. 6. 1044–1044. 47 indexed citations

10.

Sailaja, B., Sarla Neelamraju, D. Subrahmanyam, et al.. (2014). Comparative Study of Susceptible and Tolerant Genotype Reveals Efficient Recovery and Root System Contributes to Heat Stress Tolerance in Rice. Plant Molecular Biology Reporter. 32(6). 1228–1240. 33 indexed citations

11.

Sailaja, B., S. R. Voleti, D. Subrahmanyam, et al.. (2014). Prediction and Expression Analysis of miRNAs Associated with Heat Stress in Oryza sativa. Rice Science. 21(1). 3–12. 46 indexed citations

12.

Sailaja, B., Surekha Agarwal, P. Malathi, et al.. (2013). The complete genome sequence of a south Indian isolate of Rice tungro spherical virus reveals evidence of genetic recombination between distinct isolates. Virus Genes. 47(3). 515–523. 11 indexed citations

13.

Sailaja, B., S. R. Voleti, D. Subrahmanyam, Mahendra Singh Nathawat, & N.H. Rao. (2013). Validation of Oryza2000 model under combined nitrogen and water limited situations. Indian Journal of Plant Physiology. 18(1). 31–40. 8 indexed citations

14.

Voleti, S. R., et al.. (2013). Spikelet dominance and sterility in rice (Oryza sativa L.) genotypes: a mechanism of survival?. Indian Journal of Plant Physiology. 18(1). 1–6.

15.

Rao, Yousheng, B. Sailaja, K. Surekha, et al.. (2013). Physiological approaches for increasing nitrogen use efficiency in rice. Indian Journal of Plant Physiology. 18(3). 208–222. 26 indexed citations

16.

Rao, P. Raghuveer, B. Sailaja, R. P. Singh, et al.. (2012). INFLUENCE OF BORON ON SPIKELET FERTILITY UNDER VARIED SOIL CONDITIONS IN RICE GENOTYPES. Journal of Plant Nutrition. 36(3). 390–400. 16 indexed citations

17.

Mangrauthia, Satendra K., P. Malathi, Surekha Agarwal, et al.. (2012). The molecular diversity and evolution of Rice tungro bacilliform virus from Indian perspective. Virus Genes. 45(1). 126–138. 4 indexed citations

18.

Sailaja, B., et al.. (2012). VARIABLE RADIATION USE EFFICIENCY IN RICE CULTURES GROWN AT DIFFERENT LOCATIONS. 2 indexed citations

19.

Pandurangan, Muthuraman, et al.. (2010). Critical analysis of e-learning opportunities and e-readiness in the public extension system: Empirical Evidence from Tamil Nadu. 3(2). 11–18. 3 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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