P. S. Virk

3.9k total citations · 2 hit papers
49 papers, 2.7k citations indexed

About

P. S. Virk is a scholar working on Plant Science, Genetics and Soil Science. According to data from OpenAlex, P. S. Virk has authored 49 papers receiving a total of 2.7k indexed citations (citations by other indexed papers that have themselves been cited), including 46 papers in Plant Science, 25 papers in Genetics and 7 papers in Soil Science. Recurrent topics in P. S. Virk's work include Genetic Mapping and Diversity in Plants and Animals (24 papers), Rice Cultivation and Yield Improvement (22 papers) and Genetics and Plant Breeding (16 papers). P. S. Virk is often cited by papers focused on Genetic Mapping and Diversity in Plants and Animals (24 papers), Rice Cultivation and Yield Improvement (22 papers) and Genetics and Plant Breeding (16 papers). P. S. Virk collaborates with scholars based in Philippines, United Kingdom and India. P. S. Virk's co-authors include G. S. Khush, B. V. Ford‐Lloyd, H. J. Newbury, Shaobing Peng, Qiyuan Tang, Yingbin Zou, B. C. Y. Collard, Michael T. Jackson, Susan R. McCouch and M. T. Jackson and has published in prestigious journals such as PLoS ONE, Bioresource Technology and Journal of Agricultural and Food Chemistry.

In The Last Decade

P. S. Virk

47 papers receiving 2.5k citations

Hit Papers

Progress in ideotype breeding to increase rice yield pote... 2008 2026 2014 2020 2008 2015 200 400 600

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
P. S. Virk Philippines 25 2.4k 1.2k 350 253 235 49 2.7k
Alessandro Tondelli Italy 25 2.7k 1.1× 816 0.7× 483 1.4× 523 2.1× 130 0.6× 50 2.9k
Messias Gonzaga Pereira Brazil 30 3.2k 1.3× 700 0.6× 438 1.3× 483 1.9× 155 0.7× 279 3.6k
Ahmed Amri Syria 27 2.2k 0.9× 721 0.6× 179 0.5× 547 2.2× 138 0.6× 120 2.4k
Sarla Neelamraju India 27 2.3k 1.0× 851 0.7× 535 1.5× 98 0.4× 181 0.8× 79 2.5k
Todd C. Wehner United States 33 3.2k 1.3× 2.1k 1.7× 682 1.9× 165 0.7× 154 0.7× 229 3.9k
K. K. Kidwell United States 29 2.2k 0.9× 671 0.5× 436 1.2× 475 1.9× 143 0.6× 68 2.5k
L. M. Reid Canada 34 2.4k 1.0× 415 0.3× 356 1.0× 198 0.8× 129 0.5× 94 2.6k
Harsh Raman Australia 33 3.0k 1.3× 735 0.6× 1.0k 2.9× 162 0.6× 148 0.6× 121 3.4k
Hesham A. Agrama United States 29 2.1k 0.9× 1.2k 1.0× 232 0.7× 307 1.2× 110 0.5× 49 2.3k
François Balfourier France 32 2.6k 1.1× 1.1k 0.9× 396 1.1× 499 2.0× 499 2.1× 71 3.0k

Countries citing papers authored by P. S. Virk

Since Specialization
Citations

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

Fields of papers citing papers by P. S. Virk

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of P. S. Virk

This figure shows the co-authorship network connecting the top 25 collaborators of P. S. Virk. A scholar is included among the top collaborators of P. S. Virk 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. S. Virk. P. S. Virk 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.
C, Roy, Rajiv Kumar, Rakesh Ranjan, & P. S. Virk. (2024). Response of elite biofortified wheat genotypes for grain zinc and iron concentration with and without zinc application. Vegetos. 38(4). 1412–1420. 1 indexed citations
2.
Virk, P. S., et al.. (2021). Transition From Targeted Breeding to Mainstreaming of Biofortification Traits in Crop Improvement Programs. Frontiers in Plant Science. 12. 703990–703990. 39 indexed citations
3.
Dixit, Shilpi, Uma Maheshwar Singh, Ragavendran Abbai, et al.. (2019). Identification of genomic region(s) responsible for high iron and zinc content in rice. Scientific Reports. 9(1). 8136–8136. 48 indexed citations
4.
Sanada‐Morimura, Sachiyo, Masaya Matsumura, P. S. Virk, et al.. (2019). The Development and Characterization of Near-Isogenic and Pyramided Lines Carrying Resistance Genes to Brown Planthopper with the Genetic Background of Japonica Rice (Oryza sativa L.). Plants. 8(11). 498–498. 22 indexed citations
5.
Wang, Diane, Edward J. Wolfrum, P. S. Virk, et al.. (2016). Robust phenotyping strategies for evaluation of stem non-structural carbohydrates (NSC) in rice. Journal of Experimental Botany. 67(21). 6125–6138. 33 indexed citations
7.
Singh, S. P., et al.. (2008). Genetic divergence in new plant type rice under shallow lowland ecosystem.. SABRAO Journal of Breeding and Genetics. 40(1). 1–8. 2 indexed citations
8.
Collard, B. C. Y., Casiana M. Vera Cruz, Millicent D. Alexandrov Sanciangco, P. S. Virk, & D. J. Mackill. (2008). Rice Molecular Breeding Laboratories in the Genomics Era: Current Status and Future Considerations. PubMed. 2008. 1–25. 70 indexed citations
9.
Collard, B. C. Y., et al.. (2006). Evaluation of ‘quick and dirty’ DNA extraction methods for marker‐assisted selection in rice (Oryza sativa L.). Plant Breeding. 126(1). 47–50. 31 indexed citations
10.
Khush, G. S. & P. S. Virk. (2005). IR varieties and their impact. 92 indexed citations
11.
Shaobing, Peng, Rebecca C. Laza, R. M. Visperas, et al.. (2005). Progress in breeding the new plant type for yield improvement: a physiological view.. 130–132. 10 indexed citations
12.
Virk, P. S.. (2002). Potential of Amaranthus seeds in supplementary feed and its impact on growth in some carps. Bioresource Technology. 86(1). 25–27. 11 indexed citations
13.
Khush, G. S. & P. S. Virk. (2000). Rice breeding: achievements and future strategies.. Crop improvement. 27(2). 115–144. 47 indexed citations
14.
Virk, P. S., H. J. Newbury, B. V. Ford‐Lloyd, & M. T. Jackson. (2000). Are mapped markers more useful for assessing genetic diversity?. Theoretical and Applied Genetics. 100(3-4). 607–613. 4 indexed citations
15.
Virk, P. S., B. V. Ford‐Lloyd, Michael T. Jackson, & H. J. Newbury. (1995). Use of RAPD for the study of diversity within plant germplasm collections. Heredity. 74(2). 170–179. 172 indexed citations
16.
Pooni, H S, et al.. (1994). The genetical basis of hybrid vigour in a highly heterotic cross of Nicotiana tabacum. Theoretical and Applied Genetics. 89-89(7-8). 1027–1031. 3 indexed citations
17.
Pooni, H S & P. S. Virk. (1992). Biometrical genetic analyses of a metrical trait. Genetica Polonica. 33(1). 1 indexed citations
18.
Virk, D. S., et al.. (1989). Detection of Additive, Dominance and Epistatic Variation Using Single Tester Analysis in Breadwheat. Indian Journal of Genetics and Plant Breeding (The). 49(2). 213–217. 4 indexed citations
19.
Virk, D. S., et al.. (1985). Comparative genetic analyses of metric traits using diallel and factorial mating designs in bread wheat. Theoretical and Applied Genetics. 69(3). 325–328. 4 indexed citations
20.
Virk, P. S., et al.. (1983). Diallel Analysis over Environments in Wheat-Plant Characters and Harvest Index. Indian Journal of Genetics and Plant Breeding (The). 43(1). 21–27. 4 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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