Ram Rajasekharan

975 total citations
33 papers, 763 citations indexed

About

Ram Rajasekharan is a scholar working on Biochemistry, Molecular Biology and Plant Science. According to data from OpenAlex, Ram Rajasekharan has authored 33 papers receiving a total of 763 indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Biochemistry, 21 papers in Molecular Biology and 10 papers in Plant Science. Recurrent topics in Ram Rajasekharan's work include Lipid metabolism and biosynthesis (22 papers), Endoplasmic Reticulum Stress and Disease (7 papers) and Plant nutrient uptake and metabolism (5 papers). Ram Rajasekharan is often cited by papers focused on Lipid metabolism and biosynthesis (22 papers), Endoplasmic Reticulum Stress and Disease (7 papers) and Plant nutrient uptake and metabolism (5 papers). Ram Rajasekharan collaborates with scholars based in India, Malaysia and Austria. Ram Rajasekharan's co-authors include Sona Rajakumari, Iyappan Ramachandiran, Ananda K. Ghosh, Chandramohan Chitraju, Geetha Ramakrishnan, Kamlesh Yadav, Malathi Srinivasan, Günther Daum, Arvind S. Negi and Saikat Saha and has published in prestigious journals such as Journal of Biological Chemistry, PLoS ONE and PLANT PHYSIOLOGY.

In The Last Decade

Ram Rajasekharan

33 papers receiving 758 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ram Rajasekharan India 18 416 365 285 68 67 33 763
Deborah J. Hawkins United States 7 643 1.5× 601 1.6× 312 1.1× 49 0.7× 20 0.3× 8 900
Oksana Tehlivets Austria 12 683 1.6× 176 0.5× 102 0.4× 40 0.6× 98 1.5× 13 902
Line Sandager Sweden 5 802 1.9× 929 2.5× 362 1.3× 46 0.7× 98 1.5× 5 1.1k
J. Kroon United Kingdom 19 1.1k 2.6× 556 1.5× 681 2.4× 40 0.6× 92 1.4× 34 1.5k
David A. Toke United States 7 712 1.7× 372 1.0× 163 0.6× 66 1.0× 252 3.8× 9 909
Murtaza F. Alibhai United States 7 471 1.1× 125 0.3× 200 0.7× 35 0.5× 48 0.7× 9 728
Zijie Li China 17 430 1.0× 53 0.1× 386 1.4× 24 0.4× 68 1.0× 64 1.1k
Dhirayos Wititsuwannakul Thailand 18 623 1.5× 56 0.2× 210 0.7× 64 0.9× 54 0.8× 28 863
Pamela J. Trotter United States 12 782 1.9× 307 0.8× 88 0.3× 69 1.0× 468 7.0× 18 1.1k
Kari Koivuranta Finland 14 592 1.4× 69 0.2× 67 0.2× 37 0.5× 42 0.6× 20 700

Countries citing papers authored by Ram Rajasekharan

Since Specialization
Citations

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

Fields of papers citing papers by Ram Rajasekharan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ram Rajasekharan

This figure shows the co-authorship network connecting the top 25 collaborators of Ram Rajasekharan. A scholar is included among the top collaborators of Ram Rajasekharan 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 Ram Rajasekharan. Ram Rajasekharan 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.
Usharani, Dandamudi, et al.. (2023). Elucidating the functional role of human ABHD16B lipase in regulating triacylglycerol mobilization and membrane lipid synthesis in Saccharomyces cerevisiae. Chemistry and Physics of Lipids. 258. 105353–105353. 1 indexed citations
2.
Usharani, Dandamudi, et al.. (2020). A bioactive polypeptide from sugarcane selectively inhibits intestinal sucrase. International Journal of Biological Macromolecules. 156. 938–948. 5 indexed citations
3.
Usharani, Dandamudi, et al.. (2018). Sesaminol diglucoside, a water-soluble lignan from sesame seeds induces brown fat thermogenesis in mice. Biochemical and Biophysical Research Communications. 507(1-4). 155–160. 19 indexed citations
4.
Ramachandiran, Iyappan, et al.. (2018). Arabidopsis serine/threonine/tyrosine protein kinase phosphorylates oil body proteins that regulate oil content in the seeds. Scientific Reports. 8(1). 1154–1154. 21 indexed citations
5.
6.
Yadav, Kamlesh, et al.. (2017). Effect of zinc deprivation on the lipid metabolism of budding yeast. Current Genetics. 63(6). 977–982. 8 indexed citations
7.
Rajasekharan, Ram, et al.. (2017). The m6A methyltransferase Ime4 and mitochondrial functions in yeast. Current Genetics. 64(2). 353–357. 22 indexed citations
8.
Srinivasan, Malathi, et al.. (2017). Human alpha beta hydrolase domain containing protein 11 and its yeast homolog are lipid hydrolases. Biochemical and Biophysical Research Communications. 487(4). 875–880. 7 indexed citations
9.
Yadav, Kamlesh & Ram Rajasekharan. (2016). Microarray data analyses of yeast RNA Pol I subunit RPA12 deletion strain. Genomics Data. 8. 104–105. 1 indexed citations
10.
Yadav, Kamlesh & Ram Rajasekharan. (2016). The transcription factor GCN4 regulates PHM8 and alters triacylglycerol metabolism in Saccharomyces cerevisiae. Current Genetics. 62(4). 841–851. 4 indexed citations
11.
Yadav, Kamlesh, et al.. (2015). ZAP1‐mediated modulation of triacylglycerol levels in yeast by transcriptional control of mitochondrial fatty acid biosynthesis. Molecular Microbiology. 100(1). 55–75. 18 indexed citations
12.
Yadav, Kamlesh, et al.. (2015). Responses to phosphate deprivation in yeast cells. Current Genetics. 62(2). 301–307. 23 indexed citations
13.
14.
Rajasekharan, Ram, et al.. (2012). Plant phosphoinositide-specific phospholipase C. Plant Signaling & Behavior. 7(10). 1281–1283. 37 indexed citations
15.
Rajasekharan, Ram, et al.. (2012). A Bifunctional Enzyme That Has Both Monoacylglycerol Acyltransferase and Acyl Hydrolase Activities  . PLANT PHYSIOLOGY. 160(2). 667–683. 21 indexed citations
16.
Rajakumari, Sona, et al.. (2011). Oleosin Is Bifunctional Enzyme That Has Both Monoacylglycerol Acyltransferase and Phospholipase Activities. Journal of Biological Chemistry. 287(3). 1946–1954. 91 indexed citations
17.
Rajasekharan, Ram, et al.. (2011). C2 domain is responsible for targeting rice phosphoinositide specific phospholipase C. Plant Molecular Biology. 78(3). 247–258. 20 indexed citations
18.
Rajakumari, Sona, Ram Rajasekharan, & Günther Daum. (2010). Triacylglycerol lipolysis is linked to sphingolipid and phospholipid metabolism of the yeast Saccharomyces cerevisiae☆. Biochimica et Biophysica Acta (BBA) - Molecular and Cell Biology of Lipids. 1801(12). 1314–1322. 46 indexed citations
19.
Saha, Saikat, et al.. (2010). Defective in Cuticular Ridges (DCR) of Arabidopsis thaliana, a Gene Associated with Surface Cutin Formation, Encodes a Soluble Diacylglycerol Acyltransferase. Journal of Biological Chemistry. 285(49). 38337–38347. 69 indexed citations
20.
Ghosh, Ananda K., Geetha Ramakrishnan, Chandramohan Chitraju, & Ram Rajasekharan. (2008). CGI-58, the Causative Gene for Chanarin-Dorfman Syndrome, Mediates Acylation of Lysophosphatidic Acid. Journal of Biological Chemistry. 283(36). 24525–24533. 111 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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