Pawan Kumar Agrawal

1.1k total citations
31 papers, 769 citations indexed

About

Pawan Kumar Agrawal is a scholar working on Plant Science, Molecular Biology and Biomedical Engineering. According to data from OpenAlex, Pawan Kumar Agrawal has authored 31 papers receiving a total of 769 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Plant Science, 13 papers in Molecular Biology and 4 papers in Biomedical Engineering. Recurrent topics in Pawan Kumar Agrawal's work include CRISPR and Genetic Engineering (4 papers), Natural product bioactivities and synthesis (3 papers) and Lipid metabolism and biosynthesis (3 papers). Pawan Kumar Agrawal is often cited by papers focused on CRISPR and Genetic Engineering (4 papers), Natural product bioactivities and synthesis (3 papers) and Lipid metabolism and biosynthesis (3 papers). Pawan Kumar Agrawal collaborates with scholars based in India, Germany and United States. Pawan Kumar Agrawal's co-authors include Biswaranjan Paital, Debabrata Sircar, Samar Gourav Pati, Falguni Panda, Kajari Das, Shashank Sagar Saini, Partha Roy, Tanushri Kaul, Pranjal Yadava and A. Pattanayak and has published in prestigious journals such as PLANT PHYSIOLOGY, Scientific Reports and The Plant Journal.

In The Last Decade

Pawan Kumar Agrawal

30 papers receiving 744 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 Kumar Agrawal India 14 299 247 134 104 69 31 769
Piotr Maszczyk Poland 17 50 0.2× 101 0.4× 122 0.9× 65 0.6× 184 2.7× 57 708
Laurie Piette France 9 485 1.6× 342 1.4× 64 0.5× 60 0.6× 79 1.1× 11 812
Yufei Zhao China 15 169 0.6× 141 0.6× 73 0.5× 22 0.2× 105 1.5× 48 670
Mark W. Sutherland Australia 20 1.1k 3.6× 462 1.9× 45 0.3× 49 0.5× 39 0.6× 47 1.6k
Ishtiaq Hussain Pakistan 14 361 1.2× 113 0.5× 140 1.0× 30 0.3× 45 0.7× 48 838
Prabha Devi India 15 117 0.4× 176 0.7× 46 0.3× 19 0.2× 37 0.5× 29 714
Limei Chen China 28 1.2k 4.1× 699 2.8× 128 1.0× 31 0.3× 45 0.7× 85 1.8k
Shinichi Nagata Japan 18 102 0.3× 421 1.7× 62 0.5× 28 0.3× 207 3.0× 59 866
Hyung-Yeel Kahng South Korea 20 142 0.5× 540 2.2× 130 1.0× 23 0.2× 341 4.9× 63 1.0k

Countries citing papers authored by Pawan Kumar Agrawal

Since Specialization
Citations

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

Fields of papers citing papers by Pawan Kumar Agrawal

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Pawan Kumar Agrawal

This figure shows the co-authorship network connecting the top 25 collaborators of Pawan Kumar Agrawal. A scholar is included among the top collaborators of Pawan Kumar Agrawal 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 Kumar Agrawal. Pawan Kumar Agrawal 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.
Kaul, Tanushri, et al.. (2024). CRISPR/Cas9-mediated homology donor repair base editing system to confer herbicide resistance in maize (Zea mays L.). Plant Physiology and Biochemistry. 207. 108374–108374. 9 indexed citations
2.
Kushwaha, Komal, Shashank Sagar Saini, Mariam Gaid, et al.. (2021). Volatile components in papaya fruits are the non-invasive biomarkers to monitor the ripening stage and the nutritional value. European Food Research and Technology. 247(4). 907–919. 15 indexed citations
3.
4.
Saini, Shashank Sagar, et al.. (2020). Nutritional and metabolomics characterization of the coconut water at different nut developmental stages. Journal of Food Composition and Analysis. 96. 103738–103738. 56 indexed citations
5.
Gaid, Mariam, Shashank Sagar Saini, Ragothaman M. Yennamalli, et al.. (2019). Cinnamate‐CoA ligase is involved in biosynthesis of benzoate‐derived biphenyl phytoalexin in Malus × domestica ‘Golden Delicious’ cell cultures. The Plant Journal. 100(6). 1176–1192. 17 indexed citations
6.
7.
Kaul, Tanushri, et al.. (2019). Data Mining by Pluralistic Approach on CRISPR Gene Editing in Plants. Frontiers in Plant Science. 10. 801–801. 8 indexed citations
8.
Saini, Shashank Sagar, Mariam Gaid, Javid Iqbal Mir, et al.. (2018). Molecular cloning and functional analysis of a biphenyl phytoalexin-specific O-methyltransferase from apple cell suspension cultures. Planta. 249(3). 677–691. 15 indexed citations
9.
Saini, Shashank Sagar, Mariam Gaid, Javid Iqbal Mir, et al.. (2018). Comparative metabolomics of scab-resistant and susceptible apple cell cultures in response to scab fungus elicitor treatment. Scientific Reports. 8(1). 17844–17844. 20 indexed citations
10.
Agarwal, Astha, Pranjal Yadava, Krishan Kumar, et al.. (2018). Insights into maize genome editing via CRISPR/Cas9. Physiology and Molecular Biology of Plants. 24(2). 175–183. 29 indexed citations
11.
Srivastava, Sharad, Ankita Misra, Priyanka Mishra, et al.. (2017). Molecular and chemotypic variability of forskolin in Coleus forskohlii Briq., a high value industrial crop collected from Western Himalayas (India). RSC Advances. 7(15). 8843–8851. 16 indexed citations
12.
Shivaraj, S. M., Rupesh Deshmukh, Rhitu Rai, et al.. (2017). Genome-wide identification, characterization, and expression profile of aquaporin gene family in flax (Linum usitatissimum). Scientific Reports. 7(1). 46137–46137. 79 indexed citations
13.
Mallikarjuna, Mallana Gowdra, Firoz Hossain, Jayant S. Bhat, et al.. (2016). In-silico characterisation and comparative mapping of yellow stripe like transporters in five grass species. The Indian Journal of Agricultural Sciences. 86(5). 2 indexed citations
14.
Pandey, Neha, Firoz Hossain, Krishan Kumar, et al.. (2015). Microsatellite marker-based genetic diversity among quality protein maize (QPM) inbreds differing for kernel iron and zinc. 12 indexed citations
15.
Agrawal, Pawan Kumar, et al.. (1980). Some effects of fluoride pollutant on the seed growth and productivity in Pisum sativum.. Science and Culture. 46(4). 135–136. 1 indexed citations
16.
Agrawal, Pawan Kumar, et al.. (1980). Effect of temperature on germination of Lathyrus sativus seeds: an analysis.. 8(1). 25–32. 2 indexed citations
17.
Agrawal, Pawan Kumar, et al.. (1979). Glass transition temperatures of copolyphosphates. Colloid & Polymer Science. 257(11). 1172–1179. 4 indexed citations
18.
Agrawal, Pawan Kumar, et al.. (1978). Light-scattering studies on solutions of potassium-polyphosphate. Colloid & Polymer Science. 256(5). 452–458. 2 indexed citations
19.
Agrawal, Pawan Kumar & David T. Canvin. (1971). The Pentose Phosphate Pathway in Relation to Fat Synthesis in the Developing Castor Oil Seed. PLANT PHYSIOLOGY. 47(5). 672–675. 19 indexed citations
20.
Agrawal, Pawan Kumar & David T. Canvin. (1971). Respiration of developing castorbean seeds. Canadian Journal of Botany. 49(2). 263–266. 3 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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