Pragya Singh

995 total citations
55 papers, 686 citations indexed

About

Pragya Singh is a scholar working on Agronomy and Crop Science, Genetics and Ecology, Evolution, Behavior and Systematics. According to data from OpenAlex, Pragya Singh has authored 55 papers receiving a total of 686 indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Agronomy and Crop Science, 16 papers in Genetics and 12 papers in Ecology, Evolution, Behavior and Systematics. Recurrent topics in Pragya Singh's work include Ruminant Nutrition and Digestive Physiology (25 papers), Plant and animal studies (6 papers) and Genetic and phenotypic traits in livestock (6 papers). Pragya Singh is often cited by papers focused on Ruminant Nutrition and Digestive Physiology (25 papers), Plant and animal studies (6 papers) and Genetic and phenotypic traits in livestock (6 papers). Pragya Singh collaborates with scholars based in India, Germany and Switzerland. Pragya Singh's co-authors include Ashok Kumar Verma, U. R. Mehra, Gaurav Baruah, Anil Kumar Garg, M HOFER, D. K. Agrawal, Runjun Dowarah, Neeta Agarwal, Brijesh Patel and Lukas Schärer and has published in prestigious journals such as Scientific Reports, The American Naturalist and PLoS Biology.

In The Last Decade

Pragya Singh

51 papers receiving 633 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Pragya Singh India 14 231 147 123 115 101 55 686
Tzach Glasser Israel 15 256 1.1× 164 1.1× 149 1.2× 80 0.7× 103 1.0× 30 671
J. Kowalczyk Poland 16 274 1.2× 131 0.9× 241 2.0× 99 0.9× 124 1.2× 160 1.0k
M. A. D. Bomfim Brazil 19 291 1.3× 112 0.8× 265 2.2× 130 1.1× 27 0.3× 97 954
Katerina Theodoridou United Kingdom 18 459 2.0× 68 0.5× 152 1.2× 235 2.0× 57 0.6× 58 1.0k
A. Orlov Israel 16 311 1.3× 160 1.1× 276 2.2× 45 0.4× 27 0.3× 19 676
M. Blanco Spain 19 435 1.9× 254 1.7× 637 5.2× 65 0.6× 49 0.5× 80 1.0k
Ei Sakaguchi Japan 18 304 1.3× 81 0.6× 331 2.7× 169 1.5× 72 0.7× 50 891
P.V. Portugal Portugal 20 480 2.1× 143 1.0× 544 4.4× 96 0.8× 36 0.4× 31 1.0k
Y. Aharoni Israel 18 355 1.5× 169 1.1× 255 2.1× 55 0.5× 36 0.4× 47 896
Pedro Eduardo de Felício Brazil 14 157 0.7× 163 1.1× 592 4.8× 109 0.9× 40 0.4× 44 888

Countries citing papers authored by Pragya Singh

Since Specialization
Citations

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

Fields of papers citing papers by Pragya Singh

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Pragya Singh

This figure shows the co-authorship network connecting the top 25 collaborators of Pragya Singh. A scholar is included among the top collaborators of Pragya 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 Pragya Singh. Pragya 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.
Singh, Pragya & Caroline Müller. (2025). Pharmacophagy in insects: Ecological and evolutionary perspectives on the non‐nutritional use of plant specialized metabolites. Entomologia Experimentalis et Applicata. 173(7). 661–673. 1 indexed citations
2.
Singh, Pragya, Joachim Kurtz, Caroline Müller, et al.. (2025). Testing the reproducibility of ecological studies on insect behavior in a multi-laboratory setting identifies opportunities for improving experimental rigor. PLoS Biology. 23(4). e3003019–e3003019.
3.
Singh, Pragya, et al.. (2025). Life Stage‐ and Sex‐Specific Sensitivity to Nutritional Stress in a Holometabolous Insect. Ecology and Evolution. 15(1). e70764–e70764. 1 indexed citations
5.
Singh, Pragya, et al.. (2024). Plant metabolites modulate social networks and lifespan in a sawfly. Journal of Animal Ecology. 93(11). 1758–1770. 2 indexed citations
6.
Singh, Pragya, et al.. (2023). State dependency of behavioural traits is a function of the life stage in a holometabolous insect. Animal Behaviour. 203. 29–39. 5 indexed citations
7.
Singh, Pragya & Lukas Schärer. (2022). Evolution of sex allocation plasticity in a hermaphroditic flatworm genus. Journal of Evolutionary Biology. 35(6). 817–830. 6 indexed citations
8.
Singh, Pragya, et al.. (2022). Chemical defense acquired via pharmacophagy can lead to protection from predation for conspecifics in a sawfly. Proceedings of the Royal Society B Biological Sciences. 289(1978). 20220176–20220176. 10 indexed citations
10.
Singh, Pragya, et al.. (2021). Creating Cell Model 2.0 Using Patient Samples Carrying a Pathogenic Mitochondrial DNA Mutation: iPSC Approach for LHON. Methods in molecular biology. 2549. 219–231. 3 indexed citations
12.
Verma, Ashok Kumar, et al.. (2016). Effect of replacement of concentrate mixture with a multi-nutrient liquid supplement on perfomance of bufflao heifers. The Indian Journal of Animal Sciences. 86(9). 4 indexed citations
13.
Verma, Arvind, et al.. (2013). Effect of fumaric acid supplementation on methanogenesis and rumen fermentation in Barbari goats. The Indian Journal of Animal Sciences. 83(1). 3 indexed citations
14.
George, S. M., et al.. (2011). Evaluation of purine metabolites - creatinine index to predict the rumen microbial protein synthesis from urinary spot samples in Barbari goats. Journal of Animal and Feed Sciences. 20(4). 509–525. 7 indexed citations
15.
Verma, Ashok Kumar, et al.. (2011). SPECIES DIFFERENCES IN THE CONCENTRATION OF PURINE DERIVATIVES AND CREATININE IN SPOT URINE SAMPLES. 9(2). 24–26. 2 indexed citations
16.
Singh, Pragya, et al.. (2008). The studies on nutrient balances in crossbred cattle bulls fed chopped green sugarcane tops supplemented with some agro industrial by- products. Tropical Animal Health and Production. 41(6). 943–949. 5 indexed citations
17.
Mehra, U. R., et al.. (2006). Influence of Level of Feed Intake on Concentration of Purine Derivatives in Urinary Spot Samples and Microbial Nitrogen Supply in Crossbred Bulls. Asian-Australasian Journal of Animal Sciences. 19(9). 1291–1297. 15 indexed citations
18.
Mehra, U. R., et al.. (2005). Improved HPLC method for the simultaneous determination of allantoin, uric acid and creatinine in cattle urine. Journal of Chromatography B. 832(1). 134–137. 142 indexed citations
19.
Garg, Abhishek, Pragya Singh, V. R. B. Sastry, & D. K. Agrawal. (2005). Replacement effect of groundnut-cake with castor bean-meal (Ricinus communis) in concentrate mixture of adult sheep. The Indian Journal of Animal Sciences. 75(6). 1 indexed citations
20.
Jain, V.K., et al.. (2000). Effect of feeding wheat bran and deoiled rice bran on feed intake and nutrient utilization in crossbred cows.. The Indian Journal of Animal Sciences. 70(12). 1258–1260. 8 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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