S. Vanisri

552 total citations
35 papers, 307 citations indexed

About

S. Vanisri is a scholar working on Plant Science, Genetics and General Agricultural and Biological Sciences. According to data from OpenAlex, S. Vanisri has authored 35 papers receiving a total of 307 indexed citations (citations by other indexed papers that have themselves been cited), including 33 papers in Plant Science, 13 papers in Genetics and 3 papers in General Agricultural and Biological Sciences. Recurrent topics in S. Vanisri's work include Rice Cultivation and Yield Improvement (21 papers), Genetics and Plant Breeding (15 papers) and Genetic Mapping and Diversity in Plants and Animals (13 papers). S. Vanisri is often cited by papers focused on Rice Cultivation and Yield Improvement (21 papers), Genetics and Plant Breeding (15 papers) and Genetic Mapping and Diversity in Plants and Animals (13 papers). S. Vanisri collaborates with scholars based in India, Israel and Philippines. S. Vanisri's co-authors include Lakkakula Satish, L. Paikhomba Singha, Pamidimarri D. V. N. Sudheer, Sushma Chauhan, Hemasundar Alavilli, Pranab Behari Mazumder, Jina Rajkumari, Piyush Pandey, R. M. Sundaram and G. S. Laha and has published in prestigious journals such as SHILAP Revista de lepidopterología, International Journal of Biological Macromolecules and Genomics.

In The Last Decade

S. Vanisri

31 papers receiving 299 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
S. Vanisri India 7 277 42 42 19 18 35 307
Leyla Nazari Iran 8 280 1.0× 45 1.1× 36 0.9× 81 4.3× 8 0.4× 27 318
John Saviour Yaw Eleblu Ghana 10 201 0.7× 44 1.0× 38 0.9× 9 0.5× 6 0.3× 38 251
V. da S. Santos Brazil 11 378 1.4× 33 0.8× 48 1.1× 9 0.5× 4 0.2× 45 398
Abdul Mujeeb Kazi Pakistan 7 377 1.4× 100 2.4× 50 1.2× 8 0.4× 7 0.4× 16 432
Venancio Arahana Ecuador 5 235 0.8× 71 1.7× 17 0.4× 25 1.3× 7 0.4× 10 324
Worapa Seehalak Thailand 9 387 1.4× 61 1.5× 36 0.9× 19 1.0× 3 0.2× 10 441
Jinwang Qu China 7 307 1.1× 90 2.1× 8 0.2× 43 2.3× 17 0.9× 8 396
Joshua Hyman United States 6 190 0.7× 91 2.2× 62 1.5× 29 1.5× 3 0.2× 8 245
Hernán Laurentín Venezuela 9 345 1.2× 77 1.8× 74 1.8× 9 0.5× 4 0.2× 26 385
Xingbo Wu United States 11 293 1.1× 81 1.9× 51 1.2× 15 0.8× 2 0.1× 32 353

Countries citing papers authored by S. Vanisri

Since Specialization
Citations

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

Fields of papers citing papers by S. Vanisri

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of S. Vanisri

This figure shows the co-authorship network connecting the top 25 collaborators of S. Vanisri. A scholar is included among the top collaborators of S. Vanisri 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 S. Vanisri. S. Vanisri 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.
2.
Vanisri, S., et al.. (2024). Development and evaluation of rice backcross lines conferring resistance to Brown Planthopper using SSR and SNP marker-aided selections. South African Journal of Botany. 172. 388–395. 1 indexed citations
3.
Vanisri, S., et al.. (2023). Parental Polymorphism Survey for Identifying Genes/QTLs for BPH Resistance in Assam Land Race 10-3. International Journal of Bio-resource and Stress Management. 14(Jun, 6). 924–934. 1 indexed citations
4.
5.
Sunil, N., et al.. (2023). Assessment of Various Variability Parameters and Correlation of Quantitative Characters in Maize (Zea mays L.) Inbred Lines. International Journal of Environment and Climate Change. 13(10). 3049–3056. 2 indexed citations
6.
Vanisri, S., et al.. (2023). Assessment of Genetic Variation and Character Association among Yield and Yield Attributing Traits in Sweet Corn (Zea mays L. saccharata) Inbred Lines. International Journal of Environment and Climate Change. 13(10). 1146–1154. 2 indexed citations
7.
Vanisri, S., et al.. (2022). Development of competitive allele specific PCR based SNP genotyping assays for breeding applications in castor. Indian Journal of Genetics and Plant Breeding (The). 82(3). 350–354. 1 indexed citations
8.
Vanisri, S., Himabindu Kudapa, Santosha Rathod, et al.. (2022). Identification of iron and zinc responsive genes in pearl millet using genome-wide RNA-sequencing approach. Frontiers in Nutrition. 9. 884381–884381. 6 indexed citations
9.
Gireesh, C., et al.. (2022). Development and Validation of Diagnostic KASP Markers for Brown Planthopper Resistance in Rice. Frontiers in Genetics. 13. 914131–914131. 8 indexed citations
10.
Vanisri, S., et al.. (2022). Delineating the Association of Component Traits and their Effects on Yield in Elite Rice (Oryza sativa L.) Genotypes of Telangana and Andhra Pradesh. SHILAP Revista de lepidopterología. 9(Nov, 4). 310–315. 1 indexed citations
11.
Sandhu, Nitika, Gursewak Singh, Mohini Prabha Singh, et al.. (2022). Development and validation of a novel core set of KASP markers for the traits improving grain yield and adaptability of rice under direct-seeded cultivation conditions. Genomics. 114(2). 110269–110269. 18 indexed citations
12.
Vanisri, S., et al.. (2021). Estimation of crude fiber content in different cultivars of mango (Mangifera indica L.) grown in Telangana State, India. Annals of Phytomedicine An International Journal. 10(1). 5 indexed citations
13.
Vanisri, S., et al.. (2021). RNA-Seq based global transcriptome analysis of rice unravels the key players associated with brown planthopper resistance. International Journal of Biological Macromolecules. 191. 118–128. 4 indexed citations
14.
Vanisri, S., et al.. (2020). Selection criteria for agronomic traits suitable for cold season through cluster and principal component analysis in rice (Oryza Sativa L.). Journal of Pharmacognosy and Phytochemistry. 9(4). 1129–1137. 1 indexed citations
15.
Vanisri, S., et al.. (2020). Mahalanobis D2 and principle component based genetic divergence, selection criteria and genetic variability studies in cold tolerant rice (Oryza sativa) genotypes. International Journal of Chemical Studies. 8(4). 1754–1761. 2 indexed citations
16.
17.
Vanisri, S., et al.. (2017). Genetic diversity for yield, its contributing characters in rice (Oryza sativa L.). AGRICULTURE UPDATE. 12(Special-2). 589–592. 2 indexed citations
18.
Vanisri, S., et al.. (2017). Screening of Cold Tolerant Rice Genotypes for Seedling Traits under Low Temperature Regimes. International Journal of Current Microbiology and Applied Sciences. 6(12). 4074–4081. 2 indexed citations
19.
Vanisri, S., et al.. (2016). The extent of genetic diversity among popular rice cultivars of Andhra pradesh and Telangana using microsatellite markers. Electronic Journal of Plant Breeding. 7(4). 1089–1089.
20.
Vanisri, S., et al.. (2016). G x E interaction and stability analysis of promising rice cultures under different sowing dates during kharif. Electronic Journal of Plant Breeding. 7(3). 794–794. 5 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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