Nisha Singh

8.3k total citations
77 papers, 2.3k citations indexed

About

Nisha Singh is a scholar working on Plant Science, Molecular Biology and Genetics. According to data from OpenAlex, Nisha Singh has authored 77 papers receiving a total of 2.3k indexed citations (citations by other indexed papers that have themselves been cited), including 61 papers in Plant Science, 19 papers in Molecular Biology and 18 papers in Genetics. Recurrent topics in Nisha Singh's work include Plant Stress Responses and Tolerance (14 papers), Genetic Mapping and Diversity in Plants and Animals (13 papers) and Rice Cultivation and Yield Improvement (12 papers). Nisha Singh is often cited by papers focused on Plant Stress Responses and Tolerance (14 papers), Genetic Mapping and Diversity in Plants and Animals (13 papers) and Rice Cultivation and Yield Improvement (12 papers). Nisha Singh collaborates with scholars based in India, Canada and United States. Nisha Singh's co-authors include K. W. Shepherd, G. B. Cornish, Vandna Rai, Ram B. Gupta, Balwant Singh, Tilak Raj Sharma, Nagendra Kumar Singh, Shefali Mishra, B. P. Singh and Edward S. Buckler and has published in prestigious journals such as SHILAP Revista de lepidopterología, Bioinformatics and PLoS ONE.

In The Last Decade

Nisha Singh

72 papers receiving 2.2k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Nisha Singh India 24 2.0k 540 524 198 149 77 2.3k
Lesley A. Boyd United Kingdom 30 2.0k 1.0× 395 0.7× 732 1.4× 101 0.5× 139 0.9× 70 2.3k
E. Porceddu Italy 30 2.5k 1.3× 416 0.8× 861 1.6× 303 1.5× 239 1.6× 106 3.0k
Gerard R. Lazo United States 31 2.6k 1.3× 602 1.1× 1.6k 3.1× 102 0.5× 231 1.6× 52 3.5k
Laurian S. Robert Canada 24 1.4k 0.7× 127 0.2× 1.1k 2.1× 126 0.6× 58 0.4× 54 1.8k
C. Friedrich H. Longin Germany 37 3.7k 1.9× 2.0k 3.6× 484 0.9× 331 1.7× 806 5.4× 108 4.3k
Jizeng Jia China 45 5.4k 2.8× 1.7k 3.2× 1.6k 3.1× 103 0.5× 666 4.5× 141 5.8k
Parveen Chhuneja India 29 2.5k 1.3× 697 1.3× 446 0.9× 72 0.4× 342 2.3× 149 2.7k
O. A. Tanzarella Italy 20 1.4k 0.7× 264 0.5× 644 1.2× 72 0.4× 131 0.9× 44 1.7k
Zhenying Dong China 23 1.1k 0.6× 216 0.4× 709 1.4× 56 0.3× 122 0.8× 49 1.4k
K. W. Shepherd Australia 37 4.4k 2.3× 564 1.0× 867 1.7× 609 3.1× 449 3.0× 82 4.7k

Countries citing papers authored by Nisha Singh

Since Specialization
Citations

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

Fields of papers citing papers by Nisha Singh

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Nisha Singh

This figure shows the co-authorship network connecting the top 25 collaborators of Nisha Singh. A scholar is included among the top collaborators of Nisha Singh 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 Nisha Singh. Nisha Singh 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.
Sharma, Nimisha, A. K. Dubey, Richa Sharma, et al.. (2024). Physiological and molecular insights into alternate bearing in mango using next-generation sequencing approaches. Journal of Experimental Botany. 76(6). 1585–1606.
3.
Singh, Nisha, et al.. (2024). Ppomicsdb: A Multi‐Omics Database for Genetic and Molecular Breeding Applications in Pigeonpea. Legume Science. 6(2). 1 indexed citations
4.
Megha, Megha, Manju Sharma, Nagendra Kumar Singh, & Nisha Singh. (2024). Exploration of quantitative and qualitative traits of pigeonpea [Cajanus cajan (L.) Milsp.] to understand the genetic diversity. Indian Journal of Genetics and Plant Breeding (The). 84(4). 659–674.
5.
Singh, Nisha, et al.. (2024). Renewable-Energy-System Applications of Ambiguous-Fuzzy-Hybrid-Averaging Operator. 1–6. 15 indexed citations
6.
Gupta, Anil Kumar, et al.. (2023). Exploring the efficacy of targeted fingerprinting marker techniques in genetic studies of the Indian poppy (Papaver somniferum L.): A comparative analysis. Industrial Crops and Products. 208. 117890–117890. 1 indexed citations
7.
Sharma, Nimisha, Anil Kumar Dubey, Sanjay Kumar Singh, et al.. (2023). Scion/Rootstock Interaction Studies for Quality Traits in Mango (Mangifera indica L.) Varieties. Agronomy. 13(1). 204–204. 5 indexed citations
8.
Singh, Nisha, et al.. (2023). A Review of Long-Term Effects of Mineral Fertilizers on Soil Microorganisms. International Journal of Plant & Soil Science. 35(20). 1145–1155. 9 indexed citations
9.
Singh, Nisha, et al.. (2023). Enhancing Agricultural Production with Digital Technologies: A Review. International Journal of Environment and Climate Change. 13(9). 409–422. 9 indexed citations
10.
Jain, Chakresh Kumar, et al.. (2022). miRNA therapeutics in precision oncology: a natural premium to nurture. SHILAP Revista de lepidopterología. 3(4). 511–532. 3 indexed citations
11.
Srivastav, Manish, Sanjay Kumar Singh, Ajay Kumar Mahato, et al.. (2021). New genomic markers for marker assisted breeding in mango (Mangifera indicaL.). The Journal of Horticultural Science and Biotechnology. 96(5). 624–633. 3 indexed citations
12.
Singh, Nisha, Hukam C. Rawal, U. B. Angadi, et al.. (2021). A first-generation haplotype map (HapMap-1) of tea (Camellia sinensis L. O. Kuntz). Bioinformatics. 38(2). 318–324. 2 indexed citations
13.
Singh, Nisha, et al.. (2021). Distribution and relative abundance of Indian Giant Flying Squirrel (Petaurista philippensis) in Gujarat, India. SHILAP Revista de lepidopterología. 5(1). 53–62. 2 indexed citations
14.
Singh, Nisha, Vandna Rai, & Nagendra Kumar Singh. (2020). Multi-omics strategies and prospects to enhance seed quality and nutritional traits in pigeonpea. The Nucleus. 63(3). 249–256. 22 indexed citations
15.
Hada, Alkesh, Tushar K. Dutta, Nisha Singh, et al.. (2020). A genome-wide association study in Indian wild rice accessions for resistance to the root-knot nematode Meloidogyne graminicola. PLoS ONE. 15(9). e0239085–e0239085. 23 indexed citations
16.
17.
Mishra, Pragya, V. K. Mishra, Nisha Singh, & Vandna Rai. (2017). Gene expression dynamics of HKT family genes in salt-tolerant and salt-sensitive indica rice cultivars. Indian Journal of Genetics and Plant Breeding (The). 77(3). 364–364. 3 indexed citations
18.
Singh, Balwant, et al.. (2017). Evolutionary Insights Based on SNP Haplotypes of Red Pericarp, Grain Size and Starch Synthase Genes in Wild and Cultivated Rice. Frontiers in Plant Science. 8. 972–972. 24 indexed citations
19.
Vikram, Prashant, B. P. Mallikarjuna Swamy, Shalabh Dixit, et al.. (2015). Drought susceptibility of modern rice varieties: an effect of linkage of drought tolerance with undesirable traits. Scientific Reports. 5(1). 14799–14799. 113 indexed citations
20.
Saxena, Rachit K., et al.. (2009). Novel SSR Markers for Polymorphism Detection in Pigeonpea (Cajanus spp.). Plant Breeding. 129(2). 142–148. 59 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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