Sona Pandey

4.3k total citations
73 papers, 3.2k citations indexed

About

Sona Pandey is a scholar working on Plant Science, Molecular Biology and Cell Biology. According to data from OpenAlex, Sona Pandey has authored 73 papers receiving a total of 3.2k indexed citations (citations by other indexed papers that have themselves been cited), including 59 papers in Plant Science, 46 papers in Molecular Biology and 8 papers in Cell Biology. Recurrent topics in Sona Pandey's work include Plant Molecular Biology Research (23 papers), Plant nutrient uptake and metabolism (21 papers) and Plant Reproductive Biology (19 papers). Sona Pandey is often cited by papers focused on Plant Molecular Biology Research (23 papers), Plant nutrient uptake and metabolism (21 papers) and Plant Reproductive Biology (19 papers). Sona Pandey collaborates with scholars based in United States, India and Japan. Sona Pandey's co-authors include Sarah M. Assmann, Swarup Roy Choudhury, David C. Nelson, Wei Zhang, Naveen C. Bisht, Lei Ding, Sophie Alvarez, Swarup Roy Choudhury, Zhixin Zhao and Timothy E. Gookin and has published in prestigious journals such as Nature, Cell and Journal of Biological Chemistry.

In The Last Decade

Sona Pandey

72 papers receiving 3.1k citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Sona Pandey United States	30	2.7k	1.9k	160	156	114	73	3.2k
Riichiro Yoshida Japan	20	4.6k 1.7×	2.5k 1.3×	103 0.6×	127 0.8×	86 0.8×	33	4.9k
Mingjun Gao China	23	2.0k 0.8×	1.6k 0.9×	87 0.5×	106 0.7×	88 0.8×	42	2.7k
Henry D. Priest United States	19	2.2k 0.8×	2.1k 1.1×	58 0.4×	179 1.1×	52 0.5×	24	3.0k
Daye Sun China	28	2.4k 0.9×	1.8k 1.0×	98 0.6×	136 0.9×	80 0.7×	60	2.9k
Robert M. Larkin China	29	2.5k 0.9×	2.9k 1.5×	234 1.5×	143 0.9×	114 1.0×	62	3.6k
Eric van der Graaff Germany	25	3.3k 1.2×	2.4k 1.3×	109 0.7×	77 0.5×	112 1.0×	39	3.8k
Rossana Henriques Spain	23	3.7k 1.4×	2.8k 1.5×	94 0.6×	68 0.4×	108 0.9×	32	4.3k
Oliver Batistič Germany	19	5.4k 2.0×	3.5k 1.9×	232 1.4×	114 0.7×	126 1.1×	20	6.3k
Tsuyoshi Mizoguchi Japan	33	5.4k 2.0×	3.5k 1.9×	104 0.7×	170 1.1×	93 0.8×	70	5.9k
Hak Soo Seo South Korea	32	3.8k 1.4×	2.9k 1.6×	114 0.7×	261 1.7×	82 0.7×	89	4.6k

Countries citing papers authored by Sona Pandey

Since Specialization

Citations

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

Fields of papers citing papers by Sona Pandey

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sona Pandey

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

All Works

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20 of 20 papers shown

Pandey, Sona. (2025). A new class of receptors for plant G-proteins. Molecular Plant. 18(6). 925–927.

Choudhury, Swarup Roy & Sona Pandey. (2024). SymRK Regulates G-Protein Signaling During Nodulation in Soybean (Glycine max) by Modifying RGS Phosphorylation and Activity. Molecular Plant-Microbe Interactions. 37(11). 765–775. 1 indexed citations

Pandey, Sona, et al.. (2023). Moving beyond the arabidopsis-centric view of G-protein signaling in plants. Trends in Plant Science. 28(12). 1406–1421. 11 indexed citations

Allen, Doug K., et al.. (2023). Physcomitrium patens response to elevated CO₂ is flexible and determined by an interaction between sugar and nitrogen availability. New Phytologist. 241(3). 1222–1235. 1 indexed citations

Panda, Kaushik, Ayan Chakrabarti, Noah Fahlgren, et al.. (2023). The plant response to highCO₂levels is heritable and orchestrated byDNAmethylation. New Phytologist. 238(6). 2427–2439. 14 indexed citations

Bhatnagar, Nikita, et al.. (2022). Abscisic acid‐controlled redox proteome of Arabidopsis and its regulation by heterotrimeric Gβ protein. New Phytologist. 236(2). 447–463. 8 indexed citations

Pandey, Sona, et al.. (2022). Effect of environmental signals on growth and development in mosses. Journal of Experimental Botany. 73(13). 4514–4527. 12 indexed citations

Pandey, Sona, et al.. (2022). Evolutionarily Conserved and Non-Conserved Roles of Heterotrimeric Gα Proteins of Plants. Plant and Cell Physiology. 63(6). 817–828. 4 indexed citations

Kukshal, Vandna, et al.. (2022). Distribution and the evolutionary history of G-protein components in plant and algal lineages. PLANT PHYSIOLOGY. 189(3). 1519–1535. 13 indexed citations

10.

Lee, Seonghee, Clemencia M. Rojas, Sunhee Oh, et al.. (2018). Nucleolar GTP-Binding Protein 1-2 (NOG1-2) Interacts with Jasmonate-ZIMDomain Protein 9 (JAZ9) to Regulate Stomatal Aperture during Plant Immunity. International Journal of Molecular Sciences. 19(7). 1922–1922. 18 indexed citations

11.

Kaur, Jagdeep, et al.. (2018). Arabidopsis Type III Gγ Protein AGG3 Is a Positive Regulator of Yield and Stress Responses in the Model Monocot Setaria viridis. Frontiers in Plant Science. 9. 109–109. 24 indexed citations

12.

Choudhury, Swarup Roy & Sona Pandey. (2017). Phosphatidic acid binding inhibits RGS1 activity to affect specific signaling pathways in Arabidopsis. The Plant Journal. 90(3). 466–477. 48 indexed citations

13.

Acharya, Biswa R., et al.. (2017). Optimization of Phenotyping Assays for the Model Monocot Setaria viridis. Frontiers in Plant Science. 8. 2172–2172. 21 indexed citations

14.

Lee, Seonghee, Muthappa Senthil‐Kumar, Miyoung Kang, et al.. (2017). The small GTPase, nucleolar GTP-binding protein 1 (NOG1), has a novel role in plant innate immunity. Scientific Reports. 7(1). 9260–9260. 29 indexed citations

15.

Choudhury, Swarup Roy & Sona Pandey. (2016). Interaction of Heterotrimeric G-Protein Components with Receptor-like Kinases in Plants: An Alternative to the Established Signaling Paradigm?. Molecular Plant. 9(8). 1093–1095. 20 indexed citations

16.

Choudhury, Swarup Roy & Sona Pandey. (2015). Phosphorylation-Dependent Regulation of G-Protein Cycle during Nodule Formation in Soybean. The Plant Cell. 27(11). 3260–3276. 66 indexed citations

17.

Pandey, Sona, Gabriele B. Monshausen, Lei Ding, & Sarah M. Assmann. (2008). Regulation of root‐wave response by extra large and conventional G proteins in Arabidopsis thaliana. The Plant Journal. 55(2). 311–322. 66 indexed citations

18.

Pandey, Sona, Qing Wang, Sylvie Coursol, & Sarah M. Assmann. (2002). Preparation and applications of Arabidopsis thaliana guard cell protoplasts. New Phytologist. 153(3). 517–526. 82 indexed citations

19.

Pandey, Sona & Sudhir K. Sopory. (2001). Zea mays CCaMK: autophosphorylation‐dependent substrate phosphorylation and down‐regulation by red light. Journal of Experimental Botany. 52(357). 691–700. 16 indexed citations

20.

Pandey, Sona & Sudhir K. Sopory. (1998). Biochemical evidence for a calmodulin‐stimulated calcium‐dependent protein kinase in maize. European Journal of Biochemistry. 255(3). 718–726. 22 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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