Apekshita Singh

425 total citations
28 papers, 257 citations indexed

About

Apekshita Singh is a scholar working on Plant Science, Molecular Biology and Genetics. According to data from OpenAlex, Apekshita Singh has authored 28 papers receiving a total of 257 indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Plant Science, 10 papers in Molecular Biology and 8 papers in Genetics. Recurrent topics in Apekshita Singh's work include Peanut Plant Research Studies (4 papers), Botanical Research and Chemistry (3 papers) and Advances in Cucurbitaceae Research (3 papers). Apekshita Singh is often cited by papers focused on Peanut Plant Research Studies (4 papers), Botanical Research and Chemistry (3 papers) and Advances in Cucurbitaceae Research (3 papers). Apekshita Singh collaborates with scholars based in India, United Arab Emirates and Mexico. Apekshita Singh's co-authors include J. P. Moss, S. N. Raina, Vijay Rani Rajpal, Zahoor Ahmad Mir, Sajad Ali, Anita Grover, Prashant Yadav, S. M. Shivaraj, Insaf Ahmed Qureshi and Javaid Akhter Bhat and has published in prestigious journals such as PLANT PHYSIOLOGY, Frontiers in Plant Science and Theoretical and Applied Genetics.

In The Last Decade

Apekshita Singh

27 papers receiving 243 citations

Peers

Apekshita Singh

GENET

EEBS

Tejas C. Bosamia India

Yong-Sham Kwon South Korea

Rasmieh Hamid Iran

Davut Keleş Türkiye

Fabien De Bellis France

Angelo Raffaele Marcotrigiano Italy

N. Archana India

Mercedes Dabauza Spain

Michel Rigoreau France

Jiongming Sui China

Tejas C. Bosamia India

Apekshita Singh

276 ×1.3

115 ×1.3

28 ×0.8

GENET

45 ×1.9

15 ×0.7

EEBS

Citations per year, relative to Apekshita Singh Apekshita Singh (= 1×) peers Tejas C. Bosamia

Countries citing papers authored by Apekshita Singh

Since Specialization

Citations

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

Fields of papers citing papers by Apekshita Singh

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Apekshita Singh

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

All Works

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20 of 20 papers shown

Rajpal, Vijay Rani, Apekshita Singh, S. N. Raina, et al.. (2025). The nano-paradox: addressing nanotoxicity for sustainable agriculture, circular economy and SDGs. Journal of Nanobiotechnology. 23(1). 314–314. 4 indexed citations

Raina, S. N., et al.. (2023). Comparative analysis of the efficiency of seed protein profiles in assessing genetic variation and population structure among indigenous Manipur black rice cultivars. Molecular Biology Reports. 50(4). 3365–3378. 2 indexed citations

Rajpal, Vijay Rani, Apekshita Singh, Mohd. Kamran Khan, et al.. (2023). The Prospects of gene introgression from crop wild relatives into cultivated lentil for climate change mitigation. Frontiers in Plant Science. 14. 1127239–1127239. 16 indexed citations

Rajpal, Vijay Rani, Shashi Sharma, Deepmala Sehgal, et al.. (2022). A Comprehensive Account of SARS-CoV-2 Genome structure, Incurred mutations, Lineages and COVID-19 Vaccination Program. Future Virology. 17(9). 687–706. 11 indexed citations

Bhat, Vishnu, et al.. (2022). Overview of developed core and mini core collections and their effective utilization in cultivated rice and its related species (Oryza sp.)—A review. Plant Breeding. 141(4). 501–512. 8 indexed citations

Rajpal, Vijay Rani, Shashi Sharma, Avinash Kumar, et al.. (2022). Mapping of SARS-CoV-2 Spike Protein Evolution During the First and Second Waves of COVID-19 Infections in India. Future Virology. 17(8). 557–575. 3 indexed citations

Singh, Apekshita, et al.. (2022). Comprehending the evolution of gene editing platforms for crop trait improvement. Frontiers in Genetics. 13. 876987–876987. 10 indexed citations

Mir, Zahoor Ahmad, Sajad Ali, Apekshita Singh, et al.. (2021). In silico analysis and overexpression of chitinase class IV gene in Brassica juncea improves resistance against Alternaria brassicae. Industrial Crops and Products. 169. 113555–113555. 8 indexed citations

Singh, Apekshita, et al.. (2021). DNA BASED MOLECULAR MARKERS IN PLANT VARIETAL IDENTIFICATION: A REVIEW. PLANT ARCHIVES. 21(Suppliment-1). 1973–1980. 1 indexed citations

10.

Rajpal, Vijay Rani, et al.. (2020). Induction and evaluation of colchitetraploids of two species of Tinospora Miers, 1851. ZooKeys. 14(2). 211–229. 4 indexed citations

11.

Mir, Zahoor Ahmad, Sajad Ali, S. M. Shivaraj, et al.. (2019). Genome-wide identification and characterization of Chitinase gene family in Brassica juncea and Camelina sativa in response to Alternaria brassicae. Genomics. 112(1). 749–763. 32 indexed citations

12.

Singh, Apekshita, et al.. (2018). Seed protein fraction electrophoresis in peanut (Arachis hypogaea L.) accessions and wild species. Physiology and Molecular Biology of Plants. 24(3). 465–481. 6 indexed citations

13.

Sharma, Swapnil, et al.. (2014). EVALUATION OF ANTIBACTERIAL PROPERTIES OF ESSENTIAL OILS FROM CLOVE AND EUCALYPTUS. Asian Journal of Pharmaceutical and Clinical Research. 7(5). 291–294. 13 indexed citations

14.

Singh, Apekshita, et al.. (2007). Assessment of genetic diversity, and phylogenetic relationships based on ribosomal DNA repeat unit length variation and Internal Transcribed Spacer (ITS) sequences in chickpea (Cicer arietinum) cultivars and its wild species. Genetic Resources and Crop Evolution. 55(1). 65–79. 17 indexed citations

15.

Singh, Apekshita, et al.. (2000). Effect of temperature and pH on growth of Streptomyces aureofaciens causing common scab of potato.. Crop Research Hisar. 20(3). 544–545. 1 indexed citations

16.

Singh, Apekshita, et al.. (1990). Chromosome number and karyomorphology of some new accessions of genus Arachis.. 11–14. 2 indexed citations

17.

Mathela, C. S., et al.. (1990). Phenylpropenoid Constituents of Cymbopogon microstachys. Zenodo (CERN European Organization for Nuclear Research). 1 indexed citations

18.

Singh, Apekshita & J. P. Moss. (1984). Utilisation of wild relatives in the genetic improvement of Arachis hypogaea L.. Theoretical and Applied Genetics. 68(4). 355–364. 43 indexed citations

19.

Singh, Apekshita, et al.. (1979). An Analysis of Interspecific Hybrids inTrichosanthesL.. Caryologia. 32(3). 329–334. 3 indexed citations

20.

Singh, Apekshita. (1978). Cytogenetics of semi-arid plants. III. A natural interspecific hybrid of Cucurbitaceae (Citrullus colocynthis Schrad*C. vulgaris Schrad).. CYTOLOGIA. 43(3/4). 569–574. 11 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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