Gopal Pandi

1.3k total citations
27 papers, 988 citations indexed

About

Gopal Pandi is a scholar working on Molecular Biology, Plant Science and Cancer Research. According to data from OpenAlex, Gopal Pandi has authored 27 papers receiving a total of 988 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Molecular Biology, 12 papers in Plant Science and 11 papers in Cancer Research. Recurrent topics in Gopal Pandi's work include MicroRNA in disease regulation (10 papers), Circular RNAs in diseases (7 papers) and Plant Virus Research Studies (7 papers). Gopal Pandi is often cited by papers focused on MicroRNA in disease regulation (10 papers), Circular RNAs in diseases (7 papers) and Plant Virus Research Studies (7 papers). Gopal Pandi collaborates with scholars based in India, United States and Sweden. Gopal Pandi's co-authors include Raghu Vemuganti, Suresh L. Mehta, Ashutosh Dharap, Gila Lithwick‐Yanai, Hilah Gal, R. Usha, Zvi Ram, Ninette Amariglio, Gideon Rechavi and Andrew A. Kanner and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Stroke.

In The Last Decade

Gopal Pandi

26 papers receiving 973 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Gopal Pandi India	15	728	568	250	53	50	27	988
Izaskun Mallona Spain	11	665 0.9×	122 0.2×	146 0.6×	8 0.2×	56 1.1×	21	836
Hongen Xu China	13	290 0.4×	88 0.2×	97 0.4×	46 0.9×	48 1.0×	56	497
A. Sorana Morrissy Canada	11	480 0.7×	159 0.3×	112 0.4×	24 0.5×	49 1.0×	23	659
Jocelyne Boulay France	18	1.9k 2.7×	136 0.2×	125 0.5×	7 0.1×	24 0.5×	19	2.0k
Derek M. Pavelec United States	13	814 1.1×	149 0.3×	200 0.8×	5 0.1×	55 1.1×	23	1.1k
Emily J. Wood United States	7	967 1.3×	334 0.6×	51 0.2×	11 0.2×	40 0.8×	8	1.3k
Matyáš Flemr Czechia	14	988 1.4×	313 0.6×	300 1.2×	9 0.2×	16 0.3×	19	1.2k
Ty C. Voss United States	11	357 0.5×	63 0.1×	169 0.7×	9 0.2×	66 1.3×	15	658
Yongkyu Park United States	14	627 0.9×	124 0.2×	115 0.5×	23 0.4×	13 0.3×	31	807

Countries citing papers authored by Gopal Pandi

Since Specialization

Citations

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

Fields of papers citing papers by Gopal Pandi

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Gopal Pandi

This figure shows the co-authorship network connecting the top 25 collaborators of Gopal Pandi. A scholar is included among the top collaborators of Gopal Pandi 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 Gopal Pandi. Gopal Pandi 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

Anand, Asha, et al.. (2024). Evidence of microRNAs origination from chloroplast genomeand their role in regulating Photosystem II protein N (psbN) mRNA. SHILAP Revista de lepidopterología. 105(1). 19–32. 1 indexed citations

Anand, Asha, et al.. (2024). Bhendi yellow vein mosaic virus C4 circumvents the RNA silencing pathway by interacting with SAM synthetase and cystathionine beta synthase. Physiological and Molecular Plant Pathology. 136. 102549–102549.

Sivagurunathan, Suganya, et al.. (2024). piRNAs in the human retina and retinal pigment epithelium reveal a potential role in intracellular trafficking and oxidative stress. Molecular Omics. 20(4). 248–264. 5 indexed citations

Sharma, Priyanka, et al.. (2022). Cost-Effective Transcriptome-Wide Profiling of Circular RNAs by the Improved-tdMDA-NGS Method. Frontiers in Molecular Biosciences. 9. 886366–886366. 2 indexed citations

Krishnan, Vignesh, et al.. (2022). An Insight Into Pentatricopeptide-Mediated Chloroplast Necrosis via microRNA395a During Rhizoctonia solani Infection. Frontiers in Genetics. 13. 869465–869465. 5 indexed citations

Sharma, Priyanka, et al.. (2021). Generation of Transgenic Rice Expressing CircRNA and Its Functional Characterization. Methods in molecular biology. 2362. 35–68. 2 indexed citations

Sharma, Priyanka, et al.. (2021). Identification of Circular RNAs by Multiple Displacement Amplification and Their Involvement in Plant Development. Methods in molecular biology. 2362. 69–91. 1 indexed citations

Sharma, Priyanka, et al.. (2020). Circular RNAs—The Road Less Traveled. Frontiers in Molecular Biosciences. 6. 146–146. 62 indexed citations

Pandi, Gopal, et al.. (2020). DNA N6-Methyladenine Modification in Plant Genomes—A Glimpse into Emerging Epigenetic Code. Plants. 9(2). 247–247. 17 indexed citations

10.

Fan, Xiaofeng, et al.. (2019). Circular RNA Profiling by Illumina Sequencing via Template-Dependent Multiple Displacement Amplification. BioMed Research International. 2019. 1–12. 17 indexed citations

11.

Ramasamy, Subbiah, Ganesan Velmurugan, Rekha Balakrishnan, et al.. (2018). Egr-1 mediated cardiac miR-99 family expression diverges physiological hypertrophy from pathological hypertrophy. Experimental Cell Research. 365(1). 46–56. 22 indexed citations

12.

Pandi, Gopal, et al.. (2017). Deciphering microRNAs and Their Associated Hairpin Precursors in a Non-Model Plant, Abelmoschus esculentus. Non-Coding RNA. 3(2). 19–19. 13 indexed citations

13.

Rajan, K. Shanmugha, Ganesan Velmurugan, Gopal Pandi, et al.. (2016). Abundant and Altered Expression of PIWI-Interacting RNAs during Cardiac Hypertrophy. Heart Lung and Circulation. 25(10). 1013–1020. 57 indexed citations

14.

Pandi, Gopal, et al.. (2016). Complex Nature of Infection Associated with Yellow Vein Mosaic Disease in Bhendi (<i>Abelmoschus esculentus</i>). Current Science. 111(9). 1511–1511. 6 indexed citations

15.

Rajan, K. Shanmugha, Ganesan Velmurugan, Gopal Pandi, & Subbiah Ramasamy. (2014). miRNA and piRNA mediated Akt pathway in heart: Antisense expands to survive. The International Journal of Biochemistry & Cell Biology. 55. 153–156. 37 indexed citations

16.

Dharap, Ashutosh, Courtney Pokrzywa, Shruthi Murali, Gopal Pandi, & Raghu Vemuganti. (2013). MicroRNA miR-324-3p Induces Promoter-Mediated Expression of RelA Gene. PLoS ONE. 8(11). e79467–e79467. 113 indexed citations

17.

Pandi, Gopal, et al.. (2013). First report of an alphasatellite associated with Okra enation leaf curl virus. Virus Genes. 46(3). 585–587. 17 indexed citations

18.

Pandi, Gopal, Venkata Prasuja Nakka, Ashutosh Dharap, Avtar Roopra, & Raghu Vemuganti. (2013). MicroRNA miR-29c Down-Regulation Leading to De-Repression of Its Target DNA Methyltransferase 3a Promotes Ischemic Brain Damage. PLoS ONE. 8(3). e58039–e58039. 85 indexed citations

19.

Gal, Hilah, Gopal Pandi, Andrew A. Kanner, et al.. (2008). MIR-451 and Imatinib mesylate inhibit tumor growth of Glioblastoma stem cells. Biochemical and Biophysical Research Communications. 376(1). 86–90. 194 indexed citations

20.

Pandi, Gopal, et al.. (2006). Differential roles of C4 and βC1 in mediating suppression of post-transcriptional gene silencing: Evidence for transactivation by the C2 of Bhendi yellow vein mosaic virus, a monopartite begomovirus. Virus Research. 123(1). 9–18. 109 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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