Pradeep Kumar Burma

1.0k total citations
47 papers, 778 citations indexed

About

Pradeep Kumar Burma is a scholar working on Molecular Biology, Plant Science and Biotechnology. According to data from OpenAlex, Pradeep Kumar Burma has authored 47 papers receiving a total of 778 indexed citations (citations by other indexed papers that have themselves been cited), including 43 papers in Molecular Biology, 28 papers in Plant Science and 12 papers in Biotechnology. Recurrent topics in Pradeep Kumar Burma's work include Plant tissue culture and regeneration (26 papers), Plant Virus Research Studies (12 papers) and Transgenic Plants and Applications (12 papers). Pradeep Kumar Burma is often cited by papers focused on Plant tissue culture and regeneration (26 papers), Plant Virus Research Studies (12 papers) and Transgenic Plants and Applications (12 papers). Pradeep Kumar Burma collaborates with scholars based in India. Pradeep Kumar Burma's co-authors include Deepak Pental, Vibha Gupta, Arun Jagannath, N. Arumugam, Simran Bhullar, Shaveta Kanoria, Suma Chakravarthy, Akshay K. Pradhan, S. C. Lakhotia and Bhupendra Chaudhary and has published in prestigious journals such as PLoS ONE, PLANT PHYSIOLOGY and The Plant Journal.

In The Last Decade

Pradeep Kumar Burma

47 papers receiving 730 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Pradeep Kumar Burma India 16 696 510 209 50 37 47 778
Virginia Stiefel Spain 14 668 1.0× 716 1.4× 86 0.4× 47 0.9× 28 0.8× 16 965
Yoon Duck Koo South Korea 11 680 1.0× 926 1.8× 68 0.3× 32 0.6× 35 0.9× 13 1.2k
Taka Murakami Japan 9 550 0.8× 587 1.2× 175 0.8× 17 0.3× 17 0.5× 25 786
Mauricio Reynoso United States 11 550 0.8× 703 1.4× 55 0.3× 14 0.3× 64 1.7× 17 910
Germain Pauluzzi United States 10 580 0.8× 708 1.4× 55 0.3× 14 0.3× 66 1.8× 12 885
Richard Walden Germany 14 577 0.8× 685 1.3× 171 0.8× 8 0.2× 30 0.8× 27 813
William A. Moskal United States 7 449 0.6× 427 0.8× 53 0.3× 43 0.9× 18 0.5× 8 676
Christian Obermeier Germany 17 343 0.5× 620 1.2× 56 0.3× 41 0.8× 142 3.8× 37 740
R. Mayerhofer Canada 12 816 1.2× 850 1.7× 197 0.9× 24 0.5× 90 2.4× 13 1.1k

Countries citing papers authored by Pradeep Kumar Burma

Since Specialization
Citations

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

Fields of papers citing papers by Pradeep Kumar Burma

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Pradeep Kumar Burma. 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 Pradeep Kumar Burma. The network helps show where Pradeep Kumar Burma may publish in the future.

Co-authorship network of co-authors of Pradeep Kumar Burma

This figure shows the co-authorship network connecting the top 25 collaborators of Pradeep Kumar Burma. A scholar is included among the top collaborators of Pradeep Kumar Burma 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 Pradeep Kumar Burma. Pradeep Kumar Burma 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.
Burma, Pradeep Kumar, et al.. (2021). Engineering the AEG1 promoter from cotton to develop male sterile lines. Plant Cell Reports. 40(9). 1789–1792. 1 indexed citations
2.
Agarwal, Parul, et al.. (2019). Evaluating the effect of codon optimization on expression of bar gene in transgenic tobacco plants. Journal of Plant Biochemistry and Biotechnology. 28(2). 189–202. 8 indexed citations
3.
Paritosh, Kumar, et al.. (2018). Identification and characterization of the promoter of a gene expressing mainly in the tapetum tissue of cotton (Gossypium hirsutum L.). Plant Biotechnology Reports. 12(6). 377–388. 3 indexed citations
4.
Jain, Mukul, et al.. (2018). Deletion of Dictyostelium discoideum Sir2A impairs cell proliferation and inhibits autophagy. Journal of Biosciences. 43(2). 351–364. 3 indexed citations
5.
Verma, Neetu & Pradeep Kumar Burma. (2017). Regulation of tapetum‐specific A9 promoter by transcription factors AtMYB80, AtMYB1 and AtMYB4 in Arabidopsis thaliana and Nicotiana tabacum. The Plant Journal. 92(3). 481–494. 14 indexed citations
6.
7.
Kanoria, Shaveta & Pradeep Kumar Burma. (2012). A 28 nt long synthetic 5′UTR (synJ) as an enhancer of transgene expression in dicotyledonous plants. BMC Biotechnology. 12(1). 85–85. 35 indexed citations
8.
Bhullar, Simran, Suma Chakravarthy, Deepak Pental, & Pradeep Kumar Burma. (2009). Analysis of promoter activity in transgenic plants by normalizing expression with a reference gene: anomalies due to the influence of the test promoter on the reference promoter. Journal of Biosciences. 34(6). 953–962. 12 indexed citations
9.
Rawat, Preeti, Sanjeev Kumar, Deepak Pental, & Pradeep Kumar Burma. (2009). Inactivation of a transgene due to transposition of insertion sequence (IS136) of Agrobacterium tumefaciens. Journal of Biosciences. 34(2). 199–202. 6 indexed citations
10.
11.
Bhullar, Simran, et al.. (2007). Functional analysis of cauliflower mosaic virus 35S promoter: re‐evaluation of the role of subdomains B5, B4 and B2 in promoter activity. Plant Biotechnology Journal. 5(6). 696–708. 33 indexed citations
12.
Arumugam, N., Vibha Gupta, Arun Jagannath, et al.. (2007). A passage through in vitro culture leads to efficient production of marker-free transgenic plants in Brassica juncea using the Cre–loxP system. Transgenic Research. 16(6). 703–712. 25 indexed citations
13.
Bisht, Naveen C., Pradeep Kumar Burma, & Deepak Pental. (2004). Development of 2,4-D-resistant transgenics in Indian oilseed mustard (Brassica juncea). Current Science. 87(3). 367–370. 9 indexed citations
14.
Jagannath, Arun, N. Arumugam, Vibha Gupta, et al.. (2002). Development of transgenic barstar lines and identification of a male sterile (barnase)/restorer (barstar) combination for heterosis breeding in Indian oilseed mustard (Brassica juncea). Current Science. 82(1). 46–52. 39 indexed citations
15.
Phogat, Sanjay, Ramneek Gupta, Pradeep Kumar Burma, Kamalika Sen, & Deepak Pental. (2001). On the estimation of number of events required for saturation mutagenesis of large genomes. Current Science. 80(7). 823–824. 4 indexed citations
16.
Mehra, Smriti, et al.. (2000). Development of transgenics in Indian oilseed mustard (Brassica juncea) resistant to herbicide phosphinothricin. Current Science. 78(11). 1358–1364. 28 indexed citations
17.
Phogat, Sanjay, Pradeep Kumar Burma, & Deepak Pental. (2000). A four-element based transposon system for allele specific tagging in plants—Theoretical considerations. Journal of Biosciences. 25(1). 57–63. 2 indexed citations
18.
Burma, Pradeep Kumar, et al.. (1997). Positional Preferences of Polypurine/Polypyrimidine Tracts in Saccharomyces cerevisiae Genome: Implications for cis Regulation of Gene Expression. Journal of Molecular Evolution. 45(5). 485–498. 10 indexed citations
19.
Brahmachari, Samir K., et al.. (1991). Synthetic gene design to investigate the role of cis-acting DNA structural elements in regulation of gene expression in vivo.. PubMed. 163–6. 3 indexed citations
20.
Lakhotia, S. C., D. Kar Chowdhuri, & Pradeep Kumar Burma. (1990). Mutations affectingβ-alanine metabolism influence inducibility of the 93D puff by heat shock inDrosophila melanogaster. Chromosoma. 99(4). 296–305. 10 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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