Pooja Goyal

401 total citations
16 papers, 266 citations indexed

About

Pooja Goyal is a scholar working on Molecular Biology, Plant Science and Pharmacology. According to data from OpenAlex, Pooja Goyal has authored 16 papers receiving a total of 266 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Molecular Biology, 7 papers in Plant Science and 5 papers in Pharmacology. Recurrent topics in Pooja Goyal's work include Pharmacological Effects of Natural Compounds (5 papers), Plant biochemistry and biosynthesis (4 papers) and Ginseng Biological Effects and Applications (3 papers). Pooja Goyal is often cited by papers focused on Pharmacological Effects of Natural Compounds (5 papers), Plant biochemistry and biosynthesis (4 papers) and Ginseng Biological Effects and Applications (3 papers). Pooja Goyal collaborates with scholars based in India, United Arab Emirates and United States. Pooja Goyal's co-authors include Suphla Gupta, Rakesh Sharda, Ritu Devi, Sunil Kumar, Palak Arora, S. L. Kothari, Sumita Kachhwaha, Manoj K. Dhar, Ram A. Vishwakarma and Deepak Sharma and has published in prestigious journals such as Scientific Reports, Gene and BMC Genomics.

In The Last Decade

Pooja Goyal

16 papers receiving 257 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Pooja Goyal India 10 154 143 37 22 21 16 266
Haibing He China 13 95 0.6× 308 2.2× 14 0.4× 14 0.6× 13 0.6× 34 451
Yuchen Qu China 8 126 0.8× 150 1.0× 41 1.1× 9 0.4× 10 0.5× 27 300
Mureed Hussain Pakistan 11 50 0.3× 76 0.5× 22 0.6× 32 1.5× 4 0.2× 30 297
P.C. Zietsman South Africa 11 68 0.4× 208 1.5× 20 0.5× 8 0.4× 24 1.1× 29 336
Yahong Zhang China 9 99 0.6× 230 1.6× 27 0.7× 4 0.2× 4 0.2× 27 314
Anil Kumar Bisht India 10 53 0.3× 119 0.8× 12 0.3× 8 0.4× 11 0.5× 24 217
James Nicholas Furze Morocco 8 50 0.3× 242 1.7× 13 0.4× 7 0.3× 7 0.3× 31 357
Xinfeng Fan China 11 107 0.7× 29 0.2× 10 0.3× 17 0.8× 21 1.0× 28 276
Jingjing Zhu China 11 113 0.7× 135 0.9× 20 0.5× 8 0.4× 19 0.9× 20 316
Lingyan Zha China 11 106 0.7× 348 2.4× 18 0.5× 9 0.4× 14 0.7× 22 405

Countries citing papers authored by Pooja Goyal

Since Specialization
Citations

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

Fields of papers citing papers by Pooja Goyal

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Pooja Goyal

This figure shows the co-authorship network connecting the top 25 collaborators of Pooja Goyal. A scholar is included among the top collaborators of Pooja Goyal 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 Pooja Goyal. Pooja Goyal is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

16 of 16 papers shown
1.
Verma, Bhawna, Pooja Goyal, Ritu Devi, et al.. (2025). Identification and functional characterization of a cold-inducible UDP-Glycosyltransferase (GgUGT72L11) from Glycyrrhiza glabra. Journal of Plant Biochemistry and Biotechnology. 34(4). 876–892. 2 indexed citations
2.
3.
Goyal, Pooja, et al.. (2024). A custom deep learning model for abiotic stress classification in maize in uncontrolled environments. Computers and Electronics in Agriculture. 230. 109865–109865. 1 indexed citations
4.
Goyal, Pooja, Sunil Kumar, & Rakesh Sharda. (2023). A review of the Artificial Intelligence (AI) based techniques for estimating reference evapotranspiration: Current trends and future perspectives. Computers and Electronics in Agriculture. 209. 107836–107836. 41 indexed citations
5.
Goyal, Pooja, et al.. (2023). A deep learning approach for early detection of drought stress in maize using proximal scale digital images. Neural Computing and Applications. 36(4). 1899–1913. 14 indexed citations
6.
Kumar, Sunil, et al.. (2023). Reference Evapotranspiration Modelling Using Artificial Neural Networks Under Scenarios of Limited Weather Data: A Case Study in the Malwa Region of Punjab. Environmental Modeling & Assessment. 29(3). 589–620. 2 indexed citations
7.
Goyal, Pooja, et al.. (2022). WRKY transcription factors: evolution, regulation, and functional diversity in plants. PROTOPLASMA. 260(2). 331–348. 79 indexed citations
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9.
Gupta, Suphla, A. Gupta, Pooja Goyal, et al.. (2022). Biotic elicitation for enhanced production of plumbagin in regenerated shoot cultures of Plumbago zeylanica using response surface methodology. Plant Cell Tissue and Organ Culture (PCTOC). 151(3). 605–615. 10 indexed citations
10.
11.
Gupta, Suphla, Abhijit Dey, Vijay Kumar, et al.. (2021). In vitro tuberization, genetic, and phytochemical fidelity assessment of Dioscorea deltoidea. Industrial Crops and Products. 175. 114174–114174. 11 indexed citations
12.
Goyal, Pooja, et al.. (2020). A Comprehensive Transcriptome-Wide Identification and Screening of WRKY Gene Family Engaged in Abiotic Stress in Glycyrrhiza glabra. Scientific Reports. 10(1). 373–373. 37 indexed citations
13.
Goyal, Pooja, et al.. (2020). Development of an IoT based weighing type micro-lysimeter for soilless cultivation. The Indian Journal of Agricultural Sciences. 90(10). 1980–1987. 1 indexed citations
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15.
Goyal, Pooja, Rohit Jain, Sumita Kachhwaha, & S. L. Kothari. (2014). Assessment of genetic diversity in Pithecellobium dulce (Roxb.) Benth. germplasm using RAPD and ISSR markers. Trees. 29(3). 637–653. 14 indexed citations
16.
Goyal, Pooja, Sumita Kachhwaha, & S. L. Kothari. (2012). Micropropagation of Pithecellobium dulce (Roxb.) Benth—a multipurpose leguminous tree and assessment of genetic fidelity of micropropagated plants using molecular markers. Physiology and Molecular Biology of Plants. 18(2). 169–176. 25 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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