Sunil Kumar Mukherjee

5.8k total citations · 1 hit paper
124 papers, 4.0k citations indexed

About

Sunil Kumar Mukherjee is a scholar working on Plant Science, Molecular Biology and Endocrinology. According to data from OpenAlex, Sunil Kumar Mukherjee has authored 124 papers receiving a total of 4.0k indexed citations (citations by other indexed papers that have themselves been cited), including 94 papers in Plant Science, 50 papers in Molecular Biology and 13 papers in Endocrinology. Recurrent topics in Sunil Kumar Mukherjee's work include Plant Virus Research Studies (72 papers), Plant Molecular Biology Research (22 papers) and Plant and Fungal Interactions Research (13 papers). Sunil Kumar Mukherjee is often cited by papers focused on Plant Virus Research Studies (72 papers), Plant Molecular Biology Research (22 papers) and Plant and Fungal Interactions Research (13 papers). Sunil Kumar Mukherjee collaborates with scholars based in India, Italy and United States. Sunil Kumar Mukherjee's co-authors include Raj K. Bhatnagar, Pawan Malhotra, Nirupam Roy Choudhury, Neema Agrawal, Asif Mohmmed, Palakodeti V.N. Dasaradhi, Afsar R. Naqvi, Neeti Sanan‐Mishra, Deepak Bastia and Qazi Mohd Rizwanul Haq and has published in prestigious journals such as Cell, Proceedings of the National Academy of Sciences and Nucleic Acids Research.

In The Last Decade

Sunil Kumar Mukherjee

121 papers receiving 3.8k citations

Hit Papers

RNA Interference: Biology, Mechanism, and Applications 2003 2026 2010 2018 2003 250 500 750

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Sunil Kumar Mukherjee India 34 2.3k 2.0k 486 341 338 124 4.0k
Roger W. Innes United States 53 8.8k 3.8× 3.0k 1.5× 369 0.8× 279 0.8× 383 1.1× 104 10.3k
Eugene V. Koonin United States 11 949 0.4× 2.4k 1.2× 204 0.4× 370 1.1× 752 2.2× 11 3.6k
Patrice Dunoyer France 19 3.7k 1.6× 2.1k 1.1× 241 0.5× 435 1.3× 106 0.3× 34 4.7k
Roberto A. Barrero Australia 29 682 0.3× 1.2k 0.6× 262 0.5× 109 0.3× 175 0.5× 69 2.4k
Frank Schwach United Kingdom 21 2.0k 0.9× 2.0k 1.0× 145 0.3× 200 0.6× 108 0.3× 27 3.8k
Magdy M. Mahfouz Saudi Arabia 50 4.2k 1.8× 6.3k 3.1× 961 2.0× 113 0.3× 544 1.6× 105 7.6k
Eugene V. Koonin United States 32 1.1k 0.5× 3.4k 1.7× 149 0.3× 260 0.8× 1.0k 3.0× 42 4.9k
Peter M. Waterhouse Australia 50 7.0k 3.0× 6.2k 3.1× 775 1.6× 1.0k 3.0× 312 0.9× 172 9.9k
Vicki Vance United States 33 4.3k 1.9× 2.3k 1.2× 613 1.3× 1.1k 3.1× 95 0.3× 40 5.1k
Jean‐François Laliberté Canada 36 3.2k 1.4× 1.3k 0.7× 410 0.8× 838 2.5× 153 0.5× 68 4.0k

Countries citing papers authored by Sunil Kumar Mukherjee

Since Specialization
Citations

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

Fields of papers citing papers by Sunil Kumar Mukherjee

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sunil Kumar Mukherjee

This figure shows the co-authorship network connecting the top 25 collaborators of Sunil Kumar Mukherjee. A scholar is included among the top collaborators of Sunil Kumar Mukherjee 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 Sunil Kumar Mukherjee. Sunil Kumar Mukherjee 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.
Kühl, Maren, et al.. (2025). Methylome differences among barley inbreds and their association with genomic, transcriptomic, and phenotypic variation. Journal of Experimental Botany. 77(2). 411–430.
2.
Mukherjee, Sunil Kumar, Tirtha Raj Acharya, Prajwal Lamichhane, et al.. (2025). Sustainable removal of sulfathiazole from aqueous solutions using ZnFe₂O₄-catalyzed dielectric barrier discharge plasma: Efficiency, reusability, and environmental impact. Chemical Engineering Journal. 523. 168588–168588. 2 indexed citations
4.
Mukherjee, Sunil Kumar, Narendra Nath Ghosh, P. Neogi, et al.. (2024). Chiral Self‐Assembly of a Pyrene‐Appended Glutamylalanine Dipeptide and Its Charge Transfer Complex: Fabrication of Magneto‐Responsive Hydrogels and Human Cell Imaging. Macromolecular Rapid Communications. 46(3). e2400672–e2400672. 3 indexed citations
5.
Kaushik, Neha, Paritosh Patel, Tirtha Raj Acharya, et al.. (2024). Nonthermal plasma boosted dichloroacetate induces metabolic shifts to combat glioblastoma CSCs via oxidative stress. Free Radical Biology and Medicine. 229. 264–275. 3 indexed citations
6.
Chattopadhyay, Anirudha, et al.. (2023). Accelerated Long-Fragment Circular PCR for Genetic Manipulation of Plant Viruses in Unveiling Functional Genomics. Viruses. 15(12). 2332–2332. 1 indexed citations
7.
Kumar, Sanjeev, Sunil Kumar Mukherjee, & Lingaraj Sahoo. (2022). A Method for Developing RNAi-Derived Resistance in Cowpea Against Geminiviruses. Methods in molecular biology. 2408. 191–210. 1 indexed citations
8.
Singh, Archana, Irina Mohorianu, Darrell Green, et al.. (2019). Artificially induced phased siRNAs promote virus resistance in transgenic plants. Virology. 537. 208–215. 9 indexed citations
9.
Kumar, Vivek, et al.. (2018). Role of plant growth regulator’s in strawberry. International Journal of Chemical Studies. 6(5). 949–954. 2 indexed citations
10.
Kakumani, Pavan Kumar, et al.. (2015). De novo transcriptome assembly and analysis of Sf21 cells using illumina paired end sequencing. Biology Direct. 10(1). 44–44. 10 indexed citations
11.
Abraham, Ambily, et al.. (2015). Demonstration of helicase activity in the nonstructural protein, NSs, of the negative-sense RNA virus, Groundnut bud necrosis virus. Archives of Virology. 160(4). 959–967. 11 indexed citations
13.
Kakumani, Pavan Kumar, et al.. (2014). Genome wide screening of RNAi factors of Sf21 cells reveal several novel pathway associated proteins. BMC Genomics. 15(1). 775–775. 20 indexed citations
14.
Kakumani, Pavan Kumar, Pawan Malhotra, Sunil Kumar Mukherjee, & Raj K. Bhatnagar. (2014). A draft genome assembly of the army worm, Spodoptera frugiperda. Genomics. 104(2). 134–143. 63 indexed citations
15.
Mukherjee, Sunil Kumar, et al.. (2013). Identification of tissue‐preferential expression patterns of rice miRNAs. Journal of Cellular Biochemistry. 114(9). 2071–2081. 19 indexed citations
16.
Gupta, Dinesh, et al.. (2012). Identification of mirtrons in rice using MirtronPred: A tool for predicting plant mirtrons. Genomics. 99(6). 370–375. 23 indexed citations
17.
Mukherjee, Sunil Kumar, et al.. (2011). A survey of geminiviruses and associated satellite DNAs in the cotton-growing areas of northwestern India. Archives of Virology. 157(3). 483–495. 54 indexed citations
18.
Yadava, Pranjal, et al.. (2010). Begomovirus DNA replication and pathogenicity. Current Science. 98(3). 360–368. 24 indexed citations
19.
Gaikwad, Amos, et al.. (2002). A 70-kDa chloroplast DNA polymerase from pea (Pisum sativum) that shows high processivity and displays moderate fidelity. Molecular Genetics and Genomics. 267(1). 45–56. 9 indexed citations
20.
Rao, Devendra Pratap & Sunil Kumar Mukherjee. (1982). Orchard Efficiency Analysis of Mango (Mangifera 1Ndica). Indian Journal of Horticulture. 39. 158–166. 1 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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