P. K. Gupta

1.6k total citations
58 papers, 1.1k citations indexed

About

P. K. Gupta is a scholar working on Plant Science, Genetics and Molecular Biology. According to data from OpenAlex, P. K. Gupta has authored 58 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 46 papers in Plant Science, 12 papers in Genetics and 9 papers in Molecular Biology. Recurrent topics in P. K. Gupta's work include Wheat and Barley Genetics and Pathology (33 papers), Plant Disease Resistance and Genetics (18 papers) and Genetics and Plant Breeding (16 papers). P. K. Gupta is often cited by papers focused on Wheat and Barley Genetics and Pathology (33 papers), Plant Disease Resistance and Genetics (18 papers) and Genetics and Plant Breeding (16 papers). P. K. Gupta collaborates with scholars based in India, Canada and Jordan. P. K. Gupta's co-authors include H. S. Balyan, Ashutosh Srivastava, Sandhya Tyagi, Sachin Kumar, Joy Roy, Bernard R. Baum, James R. Estes, Rani Gupta, Neeraj Kumar and George Fedak and has published in prestigious journals such as Nature Biotechnology, Trends in Genetics and Frontiers in Microbiology.

In The Last Decade

P. K. Gupta

53 papers receiving 959 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
P. K. Gupta India 20 957 296 223 186 110 58 1.1k
Sukhjiwan Kaur Australia 21 1.3k 1.3× 175 0.6× 229 1.0× 160 0.9× 67 0.6× 53 1.4k
K. B. Saxena India 23 1.2k 1.3× 102 0.3× 146 0.7× 85 0.5× 70 0.6× 85 1.3k
Michaël Abrouk Czechia 15 1.0k 1.1× 316 1.1× 378 1.7× 121 0.7× 92 0.8× 25 1.1k
Deepa Jaganathan India 13 1.3k 1.4× 229 0.8× 381 1.7× 96 0.5× 70 0.6× 21 1.5k
Yonghong Zhou China 18 908 0.9× 232 0.8× 273 1.2× 204 1.1× 66 0.6× 112 1.0k
Rajender Singh India 12 1.2k 1.2× 258 0.9× 289 1.3× 35 0.2× 202 1.8× 56 1.2k
Sue Broughton Australia 19 842 0.9× 219 0.7× 299 1.3× 33 0.2× 114 1.0× 35 936
Gary E. Hart United States 17 1.0k 1.1× 449 1.5× 258 1.2× 69 0.4× 206 1.9× 25 1.2k
Umesh R. Rosyara United States 19 984 1.0× 313 1.1× 284 1.3× 34 0.2× 90 0.8× 31 1.1k
Monica Rodriguez Italy 18 960 1.0× 209 0.7× 128 0.6× 57 0.3× 136 1.2× 30 1.1k

Countries citing papers authored by P. K. Gupta

Since Specialization
Citations

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

Fields of papers citing papers by P. K. Gupta

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by P. K. Gupta. 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 P. K. Gupta. The network helps show where P. K. Gupta may publish in the future.

Co-authorship network of co-authors of P. K. Gupta

This figure shows the co-authorship network connecting the top 25 collaborators of P. K. Gupta. A scholar is included among the top collaborators of P. K. Gupta 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 P. K. Gupta. P. K. Gupta 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.
Gupta, P. K., et al.. (2025). Third-generation novel technologies for gene editing. Trends in biotechnology. 44(3). 633–647. 2 indexed citations
2.
Meher, Prabina Kumar, et al.. (2025). Ensemble of Bayesian alphabets via constraint weight optimization strategy improves genomic prediction accuracy. G3 Genes Genomes Genetics. 15(9).
3.
Meher, Prabina Kumar, Ajit Gupta, Sachin Rustgi, et al.. (2023). Evaluation of eight Bayesian genomic prediction models for three micronutrient traits in bread wheat ( Triticum aestivum L.). The Plant Genome. 16(4). e20332–e20332. 1 indexed citations
4.
Gupta, P. K., K. Singh, V. Krishna Rao Kandanvli, & Haranath Kar. (2023). New Criterion for the Stability of Discrete-Time Systems with State Saturation and Time-Varying Delay. Journal of Control Automation and Electrical Systems. 34(4). 700–708. 1 indexed citations
5.
Prasad, Pramod, Neelu Jain, Jyoti Chaudhary, et al.. (2023). Candidate effectors for leaf rust resistance gene Lr28 identified through transcriptome and in-silico analysis. Frontiers in Microbiology. 14. 1143703–1143703. 4 indexed citations
6.
Sharma, Hemant, Ritu Batra, Manoj Kumar, et al.. (2022). Identification and characterization of 20S proteasome genes and their relevance to heat/drought tolerance in bread wheat. Gene Reports. 27. 101552–101552. 9 indexed citations
7.
Saini, Dinesh Kumar, et al.. (2022). Meta-analysis reveals consensus genomic regions associated with multiple disease resistance in wheat (Triticum aestivum L.). Molecular Breeding. 42(3). 11–11. 32 indexed citations
8.
Gupta, P. K.. (2021). Quantitative genetics: pan-genomes, SVs, and k-mers for GWAS. Trends in Genetics. 37(10). 868–871. 19 indexed citations
9.
Gautam, Tinku, Kuldeep Kumar, Priyanka Agarwal, et al.. (2021). Development of white-grained PHS-tolerant wheats with high grain protein and leaf rust resistance. Molecular Breeding. 41(6). 42–42. 3 indexed citations
10.
Savadi, Siddanna, Pramod Prasad, Subhash Bhardwaj, et al.. (2020). Development of novel transcriptome-based SSR markers in Puccinia triticina and their potential application in genetic diversity studies. Tropical Plant Pathology. 45(5). 499–510. 7 indexed citations
11.
Jain, Neelu, Nivedita Sinha, Hari Krishna, et al.. (2020). A study of miRNAs and lncRNAs during Lr28-mediated resistance against leaf rust in wheat (Triticum aestivum L.). Physiological and Molecular Plant Pathology. 112. 101552–101552. 20 indexed citations
12.
Gupta, P. K., et al.. (2015). Removing Bt eggplant from the face of Indian regulators. Nature Biotechnology. 33(9). 904–907. 4 indexed citations
13.
Singh, Dharmendra, et al.. (2012). Targeted spatio-temporal expression based characterization of state of infection and time-point of maximum defense in wheat NILs during leaf rust infection. Molecular Biology Reports. 39(10). 9373–9382. 26 indexed citations
14.
Balyan, H. S., P. K. Gupta, Pawan L. Kulwal, & Neeraj Kumar. (2005). QTL analyses for three grain quality traits in bread wheat using intervarietal mapping populations. Czech Journal of Genetics and Plant Breeding. 41(Special Issue). 281–283. 2 indexed citations
15.
Kulwal, Pawan L., Neeraj Kumar, Ajay Kumar, et al.. (2005). Gene networks in hexaploid wheat: interacting quantitative trait loci for grain protein content. Functional & Integrative Genomics. 5(4). 254–259. 56 indexed citations
16.
Roy, Joy, M. Lakshmikumaran, H. S. Balyan, & P. K. Gupta. (2004). AFLP-Based Genetic Diversity and Its Comparison with Diversity Based on SSR, SAMPL, and Phenotypic Traits in Bread Wheat. Biochemical Genetics. 42(1-2). 43–59. 54 indexed citations
17.
Gupta, P. K., et al.. (1989). Induced Mutations in Triticale: Frequency and Spectrum of Chlorophyll Mutations. Indian Journal of Genetics and Plant Breeding (The). 49(2). 183–190. 4 indexed citations
18.
Gupta, P. K.. (1976). Nuclear DNA, nuclear area and nuclear dry mass in thirteen species of Crotalaria (Angiospermae, Leguminosae). Chromosoma. 54(2). 155–164. 19 indexed citations
19.
Gupta, P. K. & Anand Srivastava. (1970). Breakdown of Meiosis in a Tetraploid Clone from Dichanthium-Bothriochloa Complex1. Annals of Botany. 34(5). 1041–1046. 2 indexed citations
20.
Gupta, P. K.. (1969). Common Grasses of Gorakhpur. Indian Forester. 95(5). 324–329. 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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