Pawan Shukla

919 total citations
32 papers, 619 citations indexed

About

Pawan Shukla is a scholar working on Molecular Biology, Plant Science and Insect Science. According to data from OpenAlex, Pawan Shukla has authored 32 papers receiving a total of 619 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Molecular Biology, 13 papers in Plant Science and 9 papers in Insect Science. Recurrent topics in Pawan Shukla's work include Silkworms and Sericulture Research (7 papers), Plant tissue culture and regeneration (7 papers) and Plant-Microbe Interactions and Immunity (6 papers). Pawan Shukla is often cited by papers focused on Silkworms and Sericulture Research (7 papers), Plant tissue culture and regeneration (7 papers) and Plant-Microbe Interactions and Immunity (6 papers). Pawan Shukla collaborates with scholars based in India and Israel. Pawan Shukla's co-authors include Pulugurtha Bharadwaja Kirti, Naveen Kumar Singh, Gulab Khan Rohela, Israr Ahmed, Dilip Kumar, Aftab A. Shabnam, Koppolu Raja Rajesh Kumar, Rajesh Kumar, Pulugurtha Bharadwaja Kirti and P. B. Kirti and has published in prestigious journals such as PLoS ONE, Scientific Reports and Frontiers in Plant Science.

In The Last Decade

Pawan Shukla

32 papers receiving 609 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Pawan Shukla India 15 388 381 64 54 36 32 619
Ajeet Singh India 14 321 0.8× 250 0.7× 31 0.5× 21 0.4× 16 0.4× 54 615
Chien‐Jui Huang Taiwan 14 507 1.3× 299 0.8× 65 1.0× 161 3.0× 71 2.0× 48 720
Ali Dehestani Iran 14 432 1.1× 255 0.7× 28 0.4× 37 0.7× 46 1.3× 50 592
Yezhang Ding United States 19 785 2.0× 481 1.3× 65 1.0× 41 0.8× 41 1.1× 31 1.0k
Marina A. Pombo Argentina 14 652 1.7× 272 0.7× 25 0.4× 69 1.3× 56 1.6× 21 790
Dousheng Wu China 16 882 2.3× 346 0.9× 28 0.4× 93 1.7× 23 0.6× 32 1.1k
Sujon Sarowar United States 14 800 2.1× 370 1.0× 112 1.8× 99 1.8× 39 1.1× 20 928
Yih-Ming Chen Taiwan 14 400 1.0× 453 1.2× 73 1.1× 22 0.4× 53 1.5× 23 663
LeAnne M. Campbell United States 13 661 1.7× 484 1.3× 50 0.8× 26 0.5× 89 2.5× 16 836
Carlotta Balconi Italy 16 504 1.3× 250 0.7× 17 0.3× 59 1.1× 82 2.3× 38 707

Countries citing papers authored by Pawan Shukla

Since Specialization
Citations

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

Fields of papers citing papers by Pawan Shukla

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Pawan Shukla

This figure shows the co-authorship network connecting the top 25 collaborators of Pawan Shukla. A scholar is included among the top collaborators of Pawan Shukla 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 Pawan Shukla. Pawan Shukla 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.
Shukla, Pawan, et al.. (2024). Stereo-microscopic study of the anatomy of papaya mealybug Paracoccus marginatus (Williams and Granara De Willink). International Journal of Tropical Insect Science. 44(5). 2381–2390. 1 indexed citations
2.
Shukla, Pawan, et al.. (2023). Evaluation of reference genes for accurate normalization of qPCR data under biotic stresses in mulberry (Morus indica L.). Scientia Horticulturae. 323. 112507–112507. 3 indexed citations
3.
Shukla, Pawan, et al.. (2023). Study on the anatomy of the pink mealybug Maconellicoccus hirsutus (Hemiptera: Pseudococcidae) using stereo microscopy. International Journal of Tropical Insect Science. 43(3). 861–867. 2 indexed citations
4.
Shukla, Pawan, et al.. (2023). Male sterility in plants: an overview of advancements from natural CMS to genetically manipulated systems for hybrid seed production. Theoretical and Applied Genetics. 136(9). 195–195. 23 indexed citations
5.
Meena, Rajesh Kumar, et al.. (2023). Ectopic expression of DnaJ type-I protein homolog of Vigna aconitifolia (VaDJI) confers ABA insensitivity and multiple stress tolerance in transgenic tobacco plants. Frontiers in Plant Science. 14. 1135552–1135552. 9 indexed citations
6.
Rohela, Gulab Khan, Phanikanth Jogam, Mohammad Yaseen Mir, et al.. (2020). Indirect regeneration and genetic fidelity analysis of acclimated plantlets through SCoT and ISSR markers in Morus alba L. cv. Chinese white. Biotechnology Reports. 25. e00417–e00417. 53 indexed citations
7.
Singh, Naveen Kumar, Pawan Shukla, & P. B. Kirti. (2020). A CBL-interacting protein kinase AdCIPK5 confers salt and osmotic stress tolerance in transgenic tobacco. Scientific Reports. 10(1). 418–418. 17 indexed citations
8.
Shukla, Pawan, Ramesha A. Reddy, Kangayam M. Ponnuvel, et al.. (2019). Selection of suitable reference genes for quantitative real-time PCR gene expression analysis in Mulberry (Morus alba L.) under different abiotic stresses. Molecular Biology Reports. 46(2). 1809–1817. 36 indexed citations
9.
10.
Shukla, Pawan, et al.. (2019). A proteomic study of cysteine protease induced cell death in anthers of male sterile tobacco transgenic plants. Physiology and Molecular Biology of Plants. 25(4). 1073–1082. 10 indexed citations
11.
Rohela, Gulab Khan, et al.. (2018). In vitro clonal propagation of PPR-1, a superior temperate mulberry variety. Indian Journal of Biotechnology. 17(4). 619–625. 9 indexed citations
12.
Rohela, Gulab Khan, Aftab A. Shabnam, Pawan Shukla, Azra N. Kamili, & Mrinal K. Ghosh. (2018). RAPID ONE STEP PROTOCOL FOR THE in vitro MICRO PROPAGATION OF Morus multicaulis VAR. GOSHOERAMI, AN ELITE MULBERRY VARIETY OF TEMPERATE REGION. Journal of Experimental Biology and Agricultural Sciences. 6(6). 936–946. 4 indexed citations
13.
Ahmed, Israr, et al.. (2018). Heterologous expression of Brassica juncea annexin, AnnBj2 confers salt tolerance and ABA insensitivity in transgenic tobacco seedlings. Functional & Integrative Genomics. 18(5). 569–579. 21 indexed citations
14.
Shukla, Pawan, et al.. (2017). Molecular Approaches for Manipulating Male Sterility and Strategies for Fertility Restoration in Plants. Molecular Biotechnology. 59(9-10). 445–457. 12 indexed citations
15.
16.
Shukla, Pawan, et al.. (2016). Targeted expression of cystatin restores fertility in cysteine protease induced male sterile tobacco plants. Plant Science. 246. 52–61. 15 indexed citations
17.
18.
Meur, Gargi, Pawan Shukla, Aparna Dutta‐Gupta, & P. B. Kirti. (2015). Characterization of Brassica juncea–Alternaria brassicicola interaction and jasmonic acid carboxyl methyl transferase expression. Plant Gene. 3. 1–10. 12 indexed citations
19.
Shukla, Pawan, et al.. (2014). Expression of a pathogen-induced cysteine protease (AdCP) in tapetum results in male sterility in transgenic tobacco. Functional & Integrative Genomics. 14(2). 307–317. 18 indexed citations
20.
Shukla, Pawan & C. Auerbach. (1981). Genetical tests for the frequency of small deletions among EMS-induced point mutations in drosophila. Mutation Research/Fundamental and Molecular Mechanisms of Mutagenesis. 83(1). 81–89. 9 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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