Pallavi Sinha

2.1k total citations
45 papers, 1.2k citations indexed

About

Pallavi Sinha is a scholar working on Plant Science, Genetics and Molecular Biology. According to data from OpenAlex, Pallavi Sinha has authored 45 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 31 papers in Plant Science, 17 papers in Genetics and 7 papers in Molecular Biology. Recurrent topics in Pallavi Sinha's work include Genetic Mapping and Diversity in Plants and Animals (17 papers), Rice Cultivation and Yield Improvement (13 papers) and Genetic and Environmental Crop Studies (8 papers). Pallavi Sinha is often cited by papers focused on Genetic Mapping and Diversity in Plants and Animals (17 papers), Rice Cultivation and Yield Improvement (13 papers) and Genetic and Environmental Crop Studies (8 papers). Pallavi Sinha collaborates with scholars based in India, Australia and Philippines. Pallavi Sinha's co-authors include Vikas Kumar Singh, Rajeev K. Varshney, Arvind Kumar, Rachit K. Saxena, Aamir W. Khan, Qifa Zhang, Jeffrey L. Bennetzen, L. Krishnamurthy, Annapurna Chitikineni and Ragavendran Abbai and has published in prestigious journals such as PLoS ONE, Scientific Reports and International Journal of Molecular Sciences.

In The Last Decade

Pallavi Sinha

42 papers receiving 1.2k citations

Peers

Pallavi Sinha
Yunhe Jiang China
Amanda Burridge United Kingdom
Hieronim Golczyk Poland
Ahmad Alsaleh Türkiye
Patrick T. West United States
Jin-Ping Hao China
Phillip San Miguel United States
Meili Xie China
Canfeng Hua China
Yunhe Jiang China
Pallavi Sinha
Citations per year, relative to Pallavi Sinha Pallavi Sinha (= 1×) peers Yunhe Jiang

Countries citing papers authored by Pallavi Sinha

Since Specialization
Citations

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

Fields of papers citing papers by Pallavi Sinha

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Pallavi Sinha

This figure shows the co-authorship network connecting the top 25 collaborators of Pallavi Sinha. A scholar is included among the top collaborators of Pallavi Sinha 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 Pallavi Sinha. Pallavi Sinha 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.
Singh, Preeti, Nilesh Patil, Ravi Kumar, et al.. (2025). Superior haplotypes of genes associated with higher grain yield under reproductive stage drought stress in rice. Journal of Experimental Botany. 76(17). 5086–5101.
2.
Parameswaran, C., et al.. (2024). Marker-trait association of the major pyruvate pathway genes regulating yield related traits in rice (Oryza sativa L.). Indian Journal of Genetics and Plant Breeding (The). 84(3). 329–335. 1 indexed citations
3.
Alam, Shamshad, et al.. (2024). Superior haplotypes towards the development of blast and bacterial blight-resistant rice. Frontiers in Plant Science. 15. 1272326–1272326. 6 indexed citations
4.
Tyagi, Swati, Uma Maheshwar Singh, Ashutosh Rai, et al.. (2023). Codon Usage Provide Insights into the Adaptation of Rice Genes under Stress Condition. International Journal of Molecular Sciences. 24(2). 1098–1098. 12 indexed citations
5.
Kumar, Ajay, Challa Venkateshwarlu, Sanjay Kalia, et al.. (2023). Extreme trait GWAS (Et-GWAS): Unraveling rare variants in the 3,000 rice genome. Life Science Alliance. 7(3). e202302352–e202302352. 4 indexed citations
6.
Sinha, Pallavi, et al.. (2021). The Bethesda System for Reporting Thyroid Cytopathology: Validating at Tribhuvan University Teaching Hospital. International Archives of Otorhinolaryngology. 26(1). e097–e102. 4 indexed citations
7.
Sinha, Pallavi, Vikas Kumar Singh, Rachit K. Saxena, et al.. (2020). Superior haplotypes for haplotype‐based breeding for drought tolerance in pigeonpea (Cajanus cajan L.). Plant Biotechnology Journal. 18(12). 2482–2490. 73 indexed citations
8.
Sinha, Pallavi, Prasad Bajaj, Lekha T. Pazhamala, et al.. (2020). Arachis hypogaea gene expression atlas for fastigiata subspecies of cultivated groundnut to accelerate functional and translational genomics applications. Plant Biotechnology Journal. 18(11). 2187–2200. 35 indexed citations
9.
Sinha, Pallavi, Vikas Kumar Singh, Rachit K. Saxena, et al.. (2020). Genome‐wide analysis of epigenetic and transcriptional changes associated with heterosis in pigeonpea. Plant Biotechnology Journal. 18(8). 1697–1710. 45 indexed citations
10.
11.
Agarwal, Gaurav, Himabindu Kudapa, Abirami Ramalingam, et al.. (2020). Epigenetics and epigenomics: underlying mechanisms, relevance, and implications in crop improvement. Functional & Integrative Genomics. 20(6). 739–761. 46 indexed citations
12.
Abbai, Ragavendran, Vikas Kumar Singh, Vishnu Varthini Nachimuthu, et al.. (2019). Haplotype analysis of key genes governing grain yield and quality traits across 3K RG panel reveals scope for the development of tailor‐made rice with enhanced genetic gains. Plant Biotechnology Journal. 17(8). 1612–1622. 91 indexed citations
13.
Yadav, Shailesh, Nitika Sandhu, Shalabh Dixit, et al.. (2019). Epistatic interactions of major effect drought QTLs with genetic background loci determine grain yield of rice under drought stress. Scientific Reports. 9(1). 2616–2616. 33 indexed citations
14.
Gupta, Anamika, Dhiraj Sinha, Shanmugam Sivakumar, et al.. (2017). PknB remains an essential and a conserved target for drug development in susceptible and MDR strains of M. Tuberculosis. Annals of Clinical Microbiology and Antimicrobials. 16(1). 56–56. 13 indexed citations
15.
16.
Sinha, Pallavi, S. M. S. Tomar, Vinod Vinod, Vikas Kumar Singh, & H. S. Balyan. (2013). Genetic analysis and molecular mapping of a new fertility restorer gene Rf8 for Triticum timopheevi cytoplasm in wheat (Triticum aestivum L.) using SSR markers. Genetica. 141(10-12). 431–441. 23 indexed citations
17.
Singh, Ashutosh, Pallavi Sinha, Anil Kumar Dubey, & Manish Srivastav. (2011). Characterization of citrus germplasm using simple sequence repeat (SSR) markers. Indian Journal of Genetics and Plant Breeding (The). 71(4). 349–355. 2 indexed citations
18.
Tomar, S. M. S., et al.. (2009). Assessment of agro-morphological and molecular diversity among fertility restorer lines in wheat (Triticum aestivum L.).. Indian Journal of Genetics and Plant Breeding (The). 69(3). 183–190. 2 indexed citations
19.
Vinod, Vinod, et al.. (2009). Inheritance of angled spikelet arrangement in Triticum durum Desf.. Indian Journal of Genetics and Plant Breeding (The). 69(3). 243–246. 1 indexed citations
20.
Sinha, Pallavi, et al.. (1996). Intrapericardial echogenic images and development of constrictive pericarditis in patients with pericardial effusion. American Heart Journal. 132(6). 1268–1272. 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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