Pradeep K. Agarwal

6.5k total citations · 1 hit paper
128 papers, 4.8k citations indexed

About

Pradeep K. Agarwal is a scholar working on Plant Science, Molecular Biology and Biomedical Engineering. According to data from OpenAlex, Pradeep K. Agarwal has authored 128 papers receiving a total of 4.8k indexed citations (citations by other indexed papers that have themselves been cited), including 79 papers in Plant Science, 54 papers in Molecular Biology and 28 papers in Biomedical Engineering. Recurrent topics in Pradeep K. Agarwal's work include Plant Stress Responses and Tolerance (42 papers), Granular flow and fluidized beds (21 papers) and Plant tissue culture and regeneration (20 papers). Pradeep K. Agarwal is often cited by papers focused on Plant Stress Responses and Tolerance (42 papers), Granular flow and fluidized beds (21 papers) and Plant tissue culture and regeneration (20 papers). Pradeep K. Agarwal collaborates with scholars based in India, Australia and United States. Pradeep K. Agarwal's co-authors include Parinita Agarwal, Sudhir K. Sopory, M. K. Reddy, Bhavanath Jha, Pushp Sheel Shukla, Kapil Gupta, Asish Kumar Parida, Asha Kumari, Paromita Das and Kelly Lim and has published in prestigious journals such as Scientific Reports, Biochemical and Biophysical Research Communications and Journal of Experimental Botany.

In The Last Decade

Pradeep K. Agarwal

119 papers receiving 4.7k citations

Hit Papers

Role of DREB transcription factors in abiotic and biotic ... 2006 2026 2012 2019 2006 250 500 750

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Pradeep K. Agarwal India 38 3.2k 1.7k 781 620 397 128 4.8k
Jing Ji China 32 1.7k 0.5× 944 0.5× 925 1.2× 237 0.4× 141 0.4× 141 3.6k
F. García‐Camacho Spain 45 368 0.1× 1.3k 0.7× 1.1k 1.4× 85 0.1× 120 0.3× 165 6.0k
Peter J. Lammers United States 44 2.1k 0.6× 939 0.5× 1.3k 1.7× 9 0.0× 462 1.2× 90 5.3k
Julie Varley United Kingdom 22 189 0.1× 440 0.3× 480 0.6× 114 0.2× 188 0.5× 48 1.7k
Lloyd Donaldson New Zealand 38 2.1k 0.6× 1.2k 0.7× 1.9k 2.4× 24 0.0× 512 1.3× 117 4.9k
Seiichi Oshita Japan 28 431 0.1× 392 0.2× 1.1k 1.4× 25 0.0× 218 0.5× 97 3.2k
Tanja Mimmo Italy 43 3.9k 1.2× 666 0.4× 556 0.7× 13 0.0× 158 0.4× 174 6.1k
Steve W. Adkins Australia 36 4.6k 1.4× 918 0.5× 92 0.1× 107 0.2× 28 0.1× 171 5.8k
J. Coombs United Kingdom 24 593 0.2× 521 0.3× 380 0.5× 40 0.1× 94 0.2× 67 1.8k
Yutaka Nakashimada Japan 34 415 0.1× 1.7k 1.0× 1.5k 1.9× 50 0.1× 121 0.3× 128 3.8k

Countries citing papers authored by Pradeep K. Agarwal

Since Specialization
Citations

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

Fields of papers citing papers by Pradeep K. Agarwal

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Pradeep K. Agarwal

This figure shows the co-authorship network connecting the top 25 collaborators of Pradeep K. Agarwal. A scholar is included among the top collaborators of Pradeep K. Agarwal 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 K. Agarwal. Pradeep K. Agarwal 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
2.
Agarwal, Parinita, et al.. (2024). Rab7 GTPase-Mediated stress signaling enhances salinity tolerance in AlRabring7 tobacco transgenics by modulating physio-biochemical parameters. Plant Physiology and Biochemistry. 214. 108928–108928. 2 indexed citations
3.
Gangapur, Doddabhimappa R., et al.. (2023). Adaptive responses of a threatened halophyte Juncus rigidus Desf. to salinity stress through anatomy, ionic composition and antioxidant modulations. Acta Physiologiae Plantarum. 45(10). 2 indexed citations
5.
Agarwal, Pradeep K., et al.. (2021). Seaweed extracts: Potential biodegradable, environmentally friendly resources for regulating plant defence. Algal Research. 58. 102363–102363. 41 indexed citations
6.
Agarwal, Parinita, et al.. (2020). The AlRabring7 E3-Ub-ligase mediates AlRab7 ubiquitination and improves ionic and oxidative stress tolerance in Saccharomyces cerevisiae. Plant Physiology and Biochemistry. 151. 689–704. 5 indexed citations
7.
Agarwal, Parinita, et al.. (2020). Overexpression of AlNAC1 from recretohalophyte Aeluropus lagopoides alleviates drought stress in transgenic tobacco. Environmental and Experimental Botany. 181. 104277–104277. 7 indexed citations
8.
Agarwal, Pradeep K.. (2019). A Basic Framework for Evaluation of Rural Road Network Conditions. 2(2). 17–22.
9.
Agarwal, Parinita, et al.. (2019). Functional Validation of JcWRKY2 , a Group III Transcription Factor Toward Mitigating Salinity Stress in Transgenic Tobacco. DNA and Cell Biology. 38(11). 1278–1291. 7 indexed citations
10.
Agarwal, Parinita, et al.. (2019). Deciphering hydrogen peroxide-induced signalling towards stress tolerance in plants. 3 Biotech. 9(11). 395–395. 44 indexed citations
11.
Agarwal, Pradeep K., Kapil Gupta, Sergiy Lopato, & Parinita Agarwal. (2017). Dehydration responsive element binding transcription factors and their applications for the engineering of stress tolerance. Journal of Experimental Botany. 68(9). 2135–2148. 166 indexed citations
12.
Agarwal, Parinita, et al.. (2016). Ectopic Expression of JcWRKY Transcription Factor Confers Salinity Tolerance via Salicylic Acid Signaling. Frontiers in Plant Science. 7. 1541–1541. 28 indexed citations
13.
Agarwal, Parinita, et al.. (2015). An economical and efficient protocol for total RNA isolation from Jatropha curcas. International Journal of Environmental Studies. 72(4). 624–630. 4 indexed citations
14.
Kumari, Asha, Paromita Das, Asish Kumar Parida, & Pradeep K. Agarwal. (2015). Proteomics, metabolomics, and ionomics perspectives of salinity tolerance in halophytes. Frontiers in Plant Science. 6. 537–537. 213 indexed citations
15.
Agarwal, Parinita, et al.. (2014). Molecular Cloning and Characterization of a Group II WRKY Transcription Factor from Jatropha curcas , an Important Biofuel Crop. DNA and Cell Biology. 33(8). 503–513. 25 indexed citations
17.
Chakroborty, Partha, Pradeep K. Agarwal, & Animesh Das. (2007). Simple Model to Predict Structural Condition of Asphalt Concrete Pavements at the Network Level. Transportation Research Board 86th Annual MeetingTransportation Research Board. 1 indexed citations
18.
Agarwal, Pradeep K. & Sant S. Bhojwani. (2004). Genetic Variability in the Progeny of Androgenic Dihaploid Plants and Selection of High Agronomic Performing Lines in Brassica Juncea. Biologia Plantarum. 48(4). 503–508. 3 indexed citations
19.
Agarwal, Pradeep K.. (2003). Incentives, Risk, and Agency Costs in the Choice of Contractual Arrangements in Agriculture. SSRN Electronic Journal. 1 indexed citations
20.
Agarwal, Pradeep K., et al.. (1984). Drying and devolatilization of Mississippi lignite in a fluidized bed. 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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