Rekha Singh

4.3k total citations · 2 hit papers
42 papers, 3.1k citations indexed

About

Rekha Singh is a scholar working on Plant Science, Molecular Biology and Food Science. According to data from OpenAlex, Rekha Singh has authored 42 papers receiving a total of 3.1k indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Plant Science, 8 papers in Molecular Biology and 6 papers in Food Science. Recurrent topics in Rekha Singh's work include Genetics and Plant Breeding (7 papers), Seed and Plant Biochemistry (4 papers) and Agricultural pest management studies (3 papers). Rekha Singh is often cited by papers focused on Genetics and Plant Breeding (7 papers), Seed and Plant Biochemistry (4 papers) and Agricultural pest management studies (3 papers). Rekha Singh collaborates with scholars based in India, United States and Belgium. Rekha Singh's co-authors include B.D. Chaudhary, W. G. Hill, Mahesh K. Singh, Vacha Bhatt, Neeraj Kumar Vasistha, Kumar Chandan Srivastava, M. K. Singh, Ravindra Kumar, Parinita Agarwal and Sudhir K. Sopory and has published in prestigious journals such as The Science of The Total Environment, Water Research and Biometrics.

In The Last Decade

Rekha Singh

36 papers receiving 2.5k citations

Hit Papers

Biometrical methods in quantitative genetic analysis 1978 2026 1994 2010 1979 1978 400 800 1.2k
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Biometrical methods in quantitative genetic analysis
    1979 1.4k citations Rekha Singh, B.D. Chaudhary profile →
  2. Biometrical Methods in Quantitative Genetic Analysis.
    1978 1.4k citations Rekha Singh, B.D. Chaudhary et al. profile →

Peers

Rekha Singh
H. W. Johnson United States
Ismail Dweikat United States
S. M. Woods Canada
Robert Asiedu Nigeria
John M. Martin United States
Parveen Chhuneja India
Mehanathan Muthamilarasan India
Vagner A. Benedito United States
C. Friedrich H. Longin Germany
James W. Muthomi Kenya
H. W. Johnson United States
Rekha Singh
Citations per year, relative to Rekha Singh Rekha Singh (= 1×) peers H. W. Johnson

Countries citing papers authored by Rekha Singh

Since Specialization
Citations

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

Fields of papers citing papers by Rekha Singh

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Rekha Singh

This figure shows the co-authorship network connecting the top 25 collaborators of Rekha Singh. A scholar is included among the top collaborators of Rekha 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 Rekha Singh. Rekha 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.
Jeng, Hueiwang Anna, Rekha Singh, Norou Diawara, et al.. (2023). Application of wastewater-based surveillance and copula time-series model for COVID-19 forecasts. The Science of The Total Environment. 885. 163655–163655. 13 indexed citations
2.
Singh, Rekha, et al.. (2023). Methanotroph detection and bioconversion of methane to methanol by enriched microbial consortium from rice field soil. Bioresource Technology Reports. 22. 101410–101410. 14 indexed citations
3.
Jeng, Hueiwang Anna, Rekha Singh, Norou Diawara, et al.. (2023). Application of Wastewater-Based Surveillance and Copula Time-Series Model for COVID-19 Forecasts. SSRN Electronic Journal. 1 indexed citations
4.
Singh, Rekha, et al.. (2022). Pharmacophore based virtual screening of cholinesterase inhibitors: search of new potential drug candidates as antialzheimer agents. In Silico Pharmacology. 10(1). 18–18. 8 indexed citations
5.
Singh, Rekha, et al.. (2015). Genotype × Environment Interactions and Stability Analysis for Grain Yield and Protein Content in Grain Amaranth (Amaranthus hypochondriacus L.). Trends in Biosciences. 8(15). 3791–3796. 1 indexed citations
6.
Singh, Rekha, et al.. (2014). Application of Genetic Algorithm in Intrusion Detection System. Journals & Books Hosting (International Knowledge Sharing Platform). 4(1). 50–57. 4 indexed citations
7.
Singh, Rekha, et al.. (2013). Genetic association, divergence and variability studies for seed yield and oil content and its contributing traits in Jatropha (Jatropha curcas L.).. Journal of Medicinal Plants Research. 7(26). 1931–1939. 4 indexed citations
8.
Kumar, Ravindra, et al.. (2013). Combining Ability Analysis for Yield and Quality Traits in Tomato (Solanum lycopersicum L.). Journal of Agricultural Science. 5(2). 39 indexed citations
9.
Singh, Rekha, et al.. (2012). Genetic variability and correlation analysis in Ber (Zizyphus mauritiana Lamk.) germplasm grown in Lucknow.. HortFlora research spectrum. 1(2). 122–126. 1 indexed citations
10.
Agarwal, Parinita, et al.. (2012). Pathogenesis-Related Gene, JcPR-10a from Jatropha curcas Exhibit RNase and Antifungal Activity. Molecular Biotechnology. 54(2). 412–425. 40 indexed citations
11.
Singh, Rekha, et al.. (2011). Combining ability and heterosis in opium poppy (Papaver somniferum L.). Current Advances in Agricultural Sciences(An International Journal). 3(2). 130–134. 2 indexed citations
12.
Singh, Rekha, et al.. (2010). Genetic studies for biochemical and quantitative characters in grain amaranth (Amaranthus hypochondriacus L.). Plant Omics. 3(4). 129. 12 indexed citations
13.
Kumar, Sanjay, et al.. (2010). Path coefficient studies and character association in botile gourd (Lagenaria siceraria (Molina) standi.). Annals of Horticulture. 3(1). 84–88. 2 indexed citations
14.
Singh, Rekha, et al.. (2009). Genetic improvement of grain amaranths: A review. Current Advances in Agricultural Sciences(An International Journal). 1(2). 61–64. 2 indexed citations
15.
Balzarini, Jan, et al.. (2008). Design and development of curcumin bioconjugates as antiviral agents. Nucleic Acids Symposium Series. 52(1). 599–600. 7 indexed citations
16.
Yadav, Deepak Kumar, et al.. (2008). Thymidine analogs as potential antiviral agents. Nucleic Acids Symposium Series. 52(1). 263–264. 1 indexed citations
17.
Singh, Rekha, et al.. (2001). Benzocaine-Induced Methemoglobinemia Accompanying Adult Respiratory Distress Syndrome and Sepsis Syndrome: Case Report. PubMed. 50(6). 1153–1157. 8 indexed citations
18.
Singh, Amit Kumar, et al.. (2000). Genetic architecture of yield components in Indian mustard.. International journal of tropical agriculture. 18(2). 177–180. 5 indexed citations
19.
Hobbs, Peter, et al.. (1992). Rice wheat cropping systems in Faizabad District of Uttar Pradesh, India : exploratory surveys of farmers' practices and problems, and needs for further research. 9 indexed citations
20.
Singh, Rekha & B.D. Chaudhary. (1979). Biometrical methods in quantitative genetic analysis. 1393 indexed citations breakdown →

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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