Subbaratnam Muthukrishnan

15.4k total citations · 2 hit papers
133 papers, 10.3k citations indexed

About

Subbaratnam Muthukrishnan is a scholar working on Molecular Biology, Insect Science and Plant Science. According to data from OpenAlex, Subbaratnam Muthukrishnan has authored 133 papers receiving a total of 10.3k indexed citations (citations by other indexed papers that have themselves been cited), including 104 papers in Molecular Biology, 54 papers in Insect Science and 42 papers in Plant Science. Recurrent topics in Subbaratnam Muthukrishnan's work include Studies on Chitinases and Chitosanases (56 papers), Insect Resistance and Genetics (44 papers) and Insect symbiosis and bacterial influences (31 papers). Subbaratnam Muthukrishnan is often cited by papers focused on Studies on Chitinases and Chitosanases (56 papers), Insect Resistance and Genetics (44 papers) and Insect symbiosis and bacterial influences (31 papers). Subbaratnam Muthukrishnan collaborates with scholars based in United States, South Korea and Germany. Subbaratnam Muthukrishnan's co-authors include Karl J. Kramer, Yasuyuki Arakane, Richard W. Beeman, Swapan K. Datta, Aaron J. Shatkin, Yasuhiro Furuichi, Michael R. Kanost, Charles A. Specht, Hans Merzendorfer and Mi Young Noh and has published in prestigious journals such as Nature, Cell and Proceedings of the National Academy of Sciences.

In The Last Decade

Subbaratnam Muthukrishnan

132 papers receiving 9.8k citations

Hit Papers

Pathogenesis-Related Proteins in Plants 1975 2026 1992 2009 1999 1975 100 200 300 400 500
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Pathogenesis-Related Proteins in Plants
    1999 551 citations Swapan K. Datta, Subbaratnam Muthukrishnan profile →
  2. 5′-Terminal 7-methylguanosine in eukaryotic mRNA is required for translation
    1975 413 citations Subbaratnam Muthukrishnan et al. profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Subbaratnam Muthukrishnan United States 61 6.8k 3.8k 3.5k 1.8k 1.2k 133 10.3k
Walter R. Terra Brazil 49 4.7k 0.7× 2.0k 0.5× 4.9k 1.4× 1.0k 0.6× 1.1k 0.9× 208 7.9k
Yonggyun Kim South Korea 43 3.1k 0.5× 2.2k 0.6× 5.0k 1.4× 2.2k 1.2× 599 0.5× 474 7.5k
Enbo Ma China 46 11.8k 1.7× 1.7k 0.4× 2.1k 0.6× 626 0.4× 1.7k 1.4× 135 13.8k
Yasuyuki Arakane United States 40 3.1k 0.5× 758 0.2× 2.5k 0.7× 1.2k 0.7× 1.0k 0.9× 68 4.9k
Zhonghuai Xiang China 48 3.3k 0.5× 1.5k 0.4× 2.5k 0.7× 1.1k 0.6× 1.4k 1.2× 185 6.6k
Chuan‐Xi Zhang China 46 3.9k 0.6× 2.2k 0.6× 4.0k 1.2× 715 0.4× 1.2k 1.0× 337 7.5k
Anthony A. James United States 53 5.2k 0.8× 1.3k 0.3× 5.8k 1.7× 2.1k 1.2× 1.4k 1.2× 223 10.8k
Michael R. Kanost United States 68 5.7k 0.8× 1.7k 0.5× 8.4k 2.4× 8.6k 4.8× 2.0k 1.7× 199 15.0k
Shunji Natori Japan 54 4.9k 0.7× 609 0.2× 3.1k 0.9× 3.2k 1.8× 1.4k 1.2× 320 8.7k
Haobo Jiang United States 55 3.6k 0.5× 1.1k 0.3× 6.0k 1.7× 6.2k 3.5× 1.2k 1.0× 161 9.8k

Countries citing papers authored by Subbaratnam Muthukrishnan

Since Specialization
Citations

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

Fields of papers citing papers by Subbaratnam Muthukrishnan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Subbaratnam Muthukrishnan

This figure shows the co-authorship network connecting the top 25 collaborators of Subbaratnam Muthukrishnan. A scholar is included among the top collaborators of Subbaratnam Muthukrishnan 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 Subbaratnam Muthukrishnan. Subbaratnam Muthukrishnan 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.
Muthukrishnan, Subbaratnam, et al.. (2024). An optimized artificial blood feeding assay to study tick cuticle biology. Insect Biochemistry and Molecular Biology. 168. 104113–104113. 1 indexed citations
2.
Muthukrishnan, Subbaratnam, et al.. (2023). Functional importance of groups I and II chitinases in cuticle chitin turnover during molting in a wood-boring beetle, Monochamus alternatus. Pesticide Biochemistry and Physiology. 194. 105496–105496. 5 indexed citations
3.
Mun, Seulgi, Mi Young Noh, Erika R. Geisbrecht, et al.. (2022). Chitin deacetylases are necessary for insect femur muscle attachment and mobility. Proceedings of the National Academy of Sciences. 119(24). e2120853119–e2120853119. 9 indexed citations
4.
Noh, Mi Young, Sung Hyun Kim, Maureen J. Gorman, et al.. (2020). Yellow-g and Yellow-g2 proteins are required for egg desiccation resistance and temporal pigmentation in the Asian tiger mosquito, Aedes albopictus. Insect Biochemistry and Molecular Biology. 122. 103386–103386. 27 indexed citations
5.
Mun, Seulgi, Mi Young Noh, Karl J. Kramer, Subbaratnam Muthukrishnan, & Yasuyuki Arakane. (2019). Gene functions in adult cuticle pigmentation of the yellow mealworm, Tenebrio molitor. Insect Biochemistry and Molecular Biology. 117. 103291–103291. 49 indexed citations
6.
Muthukrishnan, Subbaratnam, et al.. (2017). Functional analysis of TcCTLP-5C2, a chymotrypsin-like serine protease needed for molting in Tribolium castaneum. Insect Biochemistry and Molecular Biology. 86. 20–28. 1 indexed citations
7.
Noh, Mi Young, Subbaratnam Muthukrishnan, Karl J. Kramer, & Yasuyuki Arakane. (2015). Tribolium castaneum RR-1 Cuticular Protein TcCPR4 Is Required for Formation of Pore Canals in Rigid Cuticle. PLoS Genetics. 11(2). e1004963–e1004963. 76 indexed citations
8.
Tetreau, Guillaume, Xiaolong Cao, Yun‐Ru Chen, et al.. (2015). Overview of chitin metabolism enzymes in Manduca sexta: Identification, domain organization, phylogenetic analysis and gene expression. Insect Biochemistry and Molecular Biology. 62. 114–126. 96 indexed citations
9.
Muthukrishnan, Subbaratnam, et al.. (2013). A Lepidopteran-Specific Gene Family Encoding Valine-Rich Midgut Proteins. PLoS ONE. 8(11). e82015–e82015. 3 indexed citations
10.
Arakane, Yasuyuki, Joseph Lomakin, Stevin H. Gehrke, et al.. (2012). Formation of Rigid, Non-Flight Forewings (Elytra) of a Beetle Requires Two Major Cuticular Proteins. PLoS Genetics. 8(4). e1002682–e1002682. 70 indexed citations
11.
Khajuria, Chitvan, Lawrent L. Buschman, Ming‐Shun Chen, Subbaratnam Muthukrishnan, & Kun Yan Zhu. (2010). A gut-specific chitinase gene essential for regulation of chitin content of peritrophic matrix and growth of Ostrinia nubilalis larvae. Insect Biochemistry and Molecular Biology. 40(8). 621–629. 89 indexed citations
12.
Fu, Daolin, Yanmei Xiao, Subbaratnam Muthukrishnan, & George H. Liang. (2005). In vivo performance of a dual genetic marker,manA-gfp, in transgenic bentgrass. Genome. 48(4). 722–730. 18 indexed citations
13.
Jayaraj, J., Subbaratnam Muthukrishnan, & George H. Liang. (2004). Transfer of a plant chitinase gene into a nitrogen-fixing Azospirillum and study of its expression. Canadian Journal of Microbiology. 50(7). 509–513. 4 indexed citations
14.
Zhu, Qingsong, et al.. (2004). Computational identification of novel chitinase-like proteins in the Drosophila melanogaster genome. Bioinformatics. 20(2). 161–169. 67 indexed citations
15.
Velazhahan, R. & Subbaratnam Muthukrishnan. (2003). Transgenic Tobacco Plants Constitutively Overexpressing a Rice Thaumatin-like Protein (PR-5) Show Enhanced Resistance to Alternaria alternata. Biologia Plantarum. 46(3). 347–354. 65 indexed citations
16.
Anand, Ajith, Tianhua Zhou, Harold N. Trick, et al.. (2003). Greenhouse and field testing of transgenic wheat plants stably expressing genes for thaumatin-like protein, chitinase and glucanase against Fusarium graminearum. Journal of Experimental Botany. 54(384). 1101–1111. 237 indexed citations
17.
Zhu, Yu Cheng, Charles A. Specht, Neal T. Dittmer, et al.. (2002). Sequence of a cDNA and expression of the gene encoding a putative epidermal chitin synthase of Manduca sexta. Insect Biochemistry and Molecular Biology. 32(11). 1497–1506. 69 indexed citations
18.
Datta, Swapan K. & Subbaratnam Muthukrishnan. (1999). Pathogenesis-Related Proteins in Plants. 551 indexed citations breakdown →
19.
Velazhahan, Rethinasamy, et al.. (1998). Induction of thaumatin‐like proteins (TLPs) in Rhizoctonia solani‐infected rice and characterization of two new cDNA clones. Physiologia Plantarum. 102(1). 21–28. 52 indexed citations
20.
Chandra, G. Ram, et al.. (1987). Structure and organization of two divergent ?-amylase genes from barley. Plant Molecular Biology. 9(1). 3–17. 59 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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