Dipak Gayen

1.2k total citations
34 papers, 793 citations indexed

About

Dipak Gayen is a scholar working on Plant Science, Molecular Biology and Biotechnology. According to data from OpenAlex, Dipak Gayen has authored 34 papers receiving a total of 793 indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Plant Science, 20 papers in Molecular Biology and 3 papers in Biotechnology. Recurrent topics in Dipak Gayen's work include Photosynthetic Processes and Mechanisms (12 papers), Plant Stress Responses and Tolerance (8 papers) and Plant Micronutrient Interactions and Effects (6 papers). Dipak Gayen is often cited by papers focused on Photosynthetic Processes and Mechanisms (12 papers), Plant Stress Responses and Tolerance (8 papers) and Plant Micronutrient Interactions and Effects (6 papers). Dipak Gayen collaborates with scholars based in India, United States and Sweden. Dipak Gayen's co-authors include Karabi Datta, Swapan K. Datta, Soumitra Paul, Sailendra Nath Sarkar, Nusrat Ali, Niranjan Chakraborty, Moumita Ganguly, Subhra Chakraborty, Aryadeep Roychoudhury and Dibyendu N. Sengupta and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Scientific Reports.

In The Last Decade

Dipak Gayen

30 papers receiving 783 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Dipak Gayen India 17 660 324 55 54 40 34 793
Soumitra Paul India 13 541 0.8× 193 0.6× 18 0.3× 44 0.8× 28 0.7× 21 613
Kimberly Glassman United States 10 883 1.3× 584 1.8× 66 1.2× 97 1.8× 195 4.9× 14 1.3k
Dario Paolo Italy 13 471 0.7× 271 0.8× 35 0.6× 32 0.6× 30 0.8× 19 554
Jason D. Gillman United States 21 1.1k 1.7× 359 1.1× 9 0.2× 34 0.6× 214 5.3× 46 1.3k
Silvia R. Cianzio United States 23 1.8k 2.7× 203 0.6× 10 0.2× 27 0.5× 104 2.6× 75 1.9k
Shenlong Zhu China 13 316 0.5× 86 0.3× 50 0.9× 13 0.2× 28 0.7× 22 464
Narayanan N. Narayanan United States 16 617 0.9× 117 0.4× 10 0.2× 49 0.9× 47 1.2× 17 686
Lin Xiang China 16 643 1.0× 541 1.7× 65 1.2× 6 0.1× 130 3.3× 42 956
Young‐Soo Chung South Korea 15 436 0.7× 302 0.9× 11 0.2× 14 0.3× 28 0.7× 43 587
Pingzhi Wu China 18 716 1.1× 608 1.9× 32 0.6× 15 0.3× 29 0.7× 38 973

Countries citing papers authored by Dipak Gayen

Since Specialization
Citations

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

Fields of papers citing papers by Dipak Gayen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Dipak Gayen

This figure shows the co-authorship network connecting the top 25 collaborators of Dipak Gayen. A scholar is included among the top collaborators of Dipak Gayen 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 Dipak Gayen. Dipak Gayen 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.
2.
Gayen, Dipak, et al.. (2025). Integrated proteomics and metabolomics analysis of chickpea seeds under aging condition. Journal of Proteomics. 320. 105487–105487. 3 indexed citations
3.
Gayen, Dipak, Sunil Kumar, Subhasis Karmakar, et al.. (2025). OsDUF2488 acts synergistically with OsPrx1.1, regulates ROS metabolism and promotes dehydration tolerance in rice. Plant Biotechnology Journal. 23(9). 3879–3899.
4.
Gayen, Dipak, et al.. (2025). Comprehensive endoplasmic reticulum proteomics analysis in chickpea (Cicer arietinum L.): unveiling cellular secrets. Journal of Proteins and Proteomics. 16(1). 1–11.
5.
Gayen, Dipak, et al.. (2024). Decoding post-translational modification for understanding stress tolerance in plant. SHILAP Revista de lepidopterología. 3(4). 100077–100077. 8 indexed citations
6.
Karmakar, Subhasis, et al.. (2023). Genome editing for improving nutritional quality, post-harvest shelf life and stress tolerance of fruits, vegetables, and ornamentals. SHILAP Revista de lepidopterología. 5. 1094965–1094965. 14 indexed citations
7.
Mishra, Divya, et al.. (2023). Genome-wide identification of the fibrillin gene family in chickpea (Cicer arietinum L.) and its response to drought stress. International Journal of Biological Macromolecules. 234. 123757–123757. 7 indexed citations
8.
Datta, Karabi, Dipak Gayen, S. Paul, et al.. (2022). Biofortified Crops – Boon for Nutritional Security. Indian Journal of Plant Genetic Resources. 35(3). 74–84. 1 indexed citations
9.
Gayen, Dipak, et al.. (2019). Dehydration-responsive alterations in the chloroplast proteome and cell metabolomic profile of rice reveals key stress adaptation responses. Environmental and Experimental Botany. 160. 12–24. 29 indexed citations
10.
Gayen, Dipak, et al.. (2019). Proteomic dissection of the chloroplast: Moving beyond photosynthesis. Journal of Proteomics. 212. 103542–103542. 11 indexed citations
11.
Gayen, Dipak, Sunil Kumar, Swati Varshney, et al.. (2019). Dehydration-induced alterations in chloroplast proteome and reprogramming of cellular metabolism in developing chickpea delineate interrelated adaptive responses. Plant Physiology and Biochemistry. 146. 337–348. 13 indexed citations
12.
Gayen, Dipak, et al.. (2018). Dehydration-induced proteomic landscape of mitochondria in chickpea reveals large-scale coordination of key biological processes. Journal of Proteomics. 192. 267–279. 10 indexed citations
13.
Subba, Pratigya, et al.. (2017). Dissecting the chloroplast proteome of chickpea ( Cicer arietinum L.) provides new insights into classical and non-classical functions. Journal of Proteomics. 165. 11–20. 19 indexed citations
14.
Gayen, Dipak, et al.. (2017). Global Proteomic Profiling and Identification of Stress-Responsive Proteins Using Two-Dimensional Gel Electrophoresis. Methods in molecular biology. 1631. 163–179. 2 indexed citations
15.
Gayen, Dipak, et al.. (2015). Legume proteomics: Progress, prospects, and challenges. PROTEOMICS. 16(2). 310–327. 33 indexed citations
16.
Gayen, Dipak, Nusrat Ali, Sailendra Nath Sarkar, Swapan K. Datta, & Karabi Datta. (2015). Down-regulation of lipoxygenase gene reduces degradation of carotenoids of golden rice during storage. Planta. 242(1). 353–363. 62 indexed citations
17.
Ali, Nusrat, Soumitra Paul, Dipak Gayen, et al.. (2013). Development of Low Phytate Rice by RNAi Mediated Seed-Specific Silencing of Inositol 1,3,4,5,6-Pentakisphosphate 2-Kinase Gene (IPK1). PLoS ONE. 8(7). e68161–e68161. 112 indexed citations
18.
Gayen, Dipak, Sailendra Nath Sarkar, Swapan K. Datta, & Karabi Datta. (2012). Comparative analysis of nutritional compositions of transgenic high iron rice with its non-transgenic counterpart. Food Chemistry. 138(2-3). 835–840. 33 indexed citations
19.
Ganguly, Moumita, Karabi Datta, Aryadeep Roychoudhury, et al.. (2012). Overexpression ofRab16Agene in indica rice variety for generating enhanced salt tolerance. Plant Signaling & Behavior. 7(4). 502–509. 66 indexed citations
20.
Paul, Soumitra, Nusrat Ali, Dipak Gayen, Swapan K. Datta, & Karabi Datta. (2012). Molecular breeding of Osfer2 gene to increase iron nutrition in rice grain. GM crops & food. 3(4). 310–316. 58 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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