Savraj Grewal

4.6k total citations · 1 hit paper
46 papers, 3.6k citations indexed

About

Savraj Grewal is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Immunology. According to data from OpenAlex, Savraj Grewal has authored 46 papers receiving a total of 3.6k indexed citations (citations by other indexed papers that have themselves been cited), including 30 papers in Molecular Biology, 23 papers in Cellular and Molecular Neuroscience and 12 papers in Immunology. Recurrent topics in Savraj Grewal's work include Neurobiology and Insect Physiology Research (14 papers), Invertebrate Immune Response Mechanisms (11 papers) and Physiological and biochemical adaptations (5 papers). Savraj Grewal is often cited by papers focused on Neurobiology and Insect Physiology Research (14 papers), Invertebrate Immune Response Mechanisms (11 papers) and Physiological and biochemical adaptations (5 papers). Savraj Grewal collaborates with scholars based in Canada, United States and United Kingdom. Savraj Grewal's co-authors include Philip A. Stork, Randall D. York, Bruce A. Edgar, David J. Bill, Colin T. Dourish, Allan Fletcher, Jon K. Shepherd, Elizabeth J. Rideout, Amir Orian and Robert N. Eisenman and has published in prestigious journals such as Nature, Proceedings of the National Academy of Sciences and Journal of Biological Chemistry.

In The Last Decade

Savraj Grewal

46 papers receiving 3.5k citations

Hit Papers

Behavioural and pharmacological characterisation of the e... 1994 2026 2004 2015 1994 100 200 300 400 500

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Savraj Grewal Canada 29 2.0k 1.4k 393 355 285 46 3.6k
Esther Asan Germany 34 1.5k 0.7× 2.2k 1.6× 509 1.3× 137 0.4× 301 1.1× 73 3.9k
Qun‐Yong Zhou United States 30 1.5k 0.8× 1.8k 1.3× 182 0.5× 188 0.5× 211 0.7× 55 4.4k
Tomoyuki Furuyashiki Japan 34 1.8k 0.9× 1.0k 0.8× 998 2.5× 279 0.8× 495 1.7× 97 4.2k
Morten Møller Denmark 41 2.6k 1.3× 2.1k 1.6× 285 0.7× 195 0.5× 223 0.8× 174 5.8k
Myriam Heiman United States 26 2.7k 1.4× 1.7k 1.2× 654 1.7× 483 1.4× 101 0.4× 36 5.4k
Vânia F. Prado Canada 37 2.5k 1.3× 1.2k 0.9× 397 1.0× 193 0.5× 98 0.3× 133 4.3k
Gwen O. Ivy Canada 37 1.4k 0.7× 1.5k 1.1× 319 0.8× 110 0.3× 119 0.4× 78 3.9k
Manabu Abe Japan 37 2.1k 1.1× 2.0k 1.5× 587 1.5× 232 0.7× 126 0.4× 140 4.7k
Y. Peng Loh United States 38 2.3k 1.1× 1.4k 1.0× 1.2k 3.1× 171 0.5× 175 0.6× 128 4.5k
Barry B. Kaplan United States 40 2.1k 1.0× 1.4k 1.0× 438 1.1× 76 0.2× 198 0.7× 107 3.8k

Countries citing papers authored by Savraj Grewal

Since Specialization
Citations

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

Fields of papers citing papers by Savraj Grewal

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Savraj Grewal

This figure shows the co-authorship network connecting the top 25 collaborators of Savraj Grewal. A scholar is included among the top collaborators of Savraj Grewal 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 Savraj Grewal. Savraj Grewal 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.
Tatum, William O., Brin Freund, Erik H. Middlebrooks, et al.. (2024). CM‐Pf deep brain stimulation in polyneuromodulation for epilepsy. Epileptic Disorders. 26(5). 626–637. 3 indexed citations
2.
Wright, J. Barry, et al.. (2024). Hypoxia delays steroid-induced developmental maturation in Drosophila by suppressing EGF signaling. PLoS Genetics. 20(4). e1011232–e1011232. 1 indexed citations
3.
Grewal, Savraj, et al.. (2022). TOR signalling is required for host lipid metabolic remodelling and survival following enteric infection in Drosophila. Disease Models & Mechanisms. 15(5). 7 indexed citations
4.
Johnston, Michael J., et al.. (2022). Transcriptome analysis of FOXO-dependent hypoxia gene expression identifies Hipk as a regulator of low oxygen tolerance in Drosophila. G3 Genes Genomes Genetics. 12(12). 7 indexed citations
6.
Grewal, Savraj, et al.. (2020). Early-life hypoxia alters adult physiology and reduces stress resistance and lifespan in Drosophila. Journal of Experimental Biology. 223(Pt 22). 11 indexed citations
7.
Galenza, Anthony, et al.. (2019). The Immune Deficiency Pathway Regulates Metabolic Homeostasis in Drosophila. The Journal of Immunology. 202(9). 2747–2759. 41 indexed citations
8.
Lee, Joshua E.-Y., et al.. (2018). The EGF/Ras pathway controls growth in Drosophila via ribosomal RNA synthesis. Developmental Biology. 439(1). 19–29. 13 indexed citations
9.
Ghosh, Abhishek, et al.. (2017). Investigation of protein synthesis in Drosophila larvae using puromycin labelling. Biology Open. 6(8). 1229–1234. 33 indexed citations
10.
Rideout, Elizabeth J., Lynne Marshall, & Savraj Grewal. (2012). Drosophila RNA polymerase III repressor Maf1 controls body size and developmental timing by modulating tRNA i Met synthesis and systemic insulin signaling. Proceedings of the National Academy of Sciences. 109(4). 1139–1144. 87 indexed citations
11.
Zoranovic, Tamara, et al.. (2012). Activated STAT regulates growth and induces competitive interactions independently of Myc, Yorkie, Wingless and ribosome biogenesis. Development. 139(21). 4051–4061. 100 indexed citations
12.
Grewal, Savraj, et al.. (2012). DREF is required for cell and organismal growth in Drosophila and functions downstream of the nutrition/TOR pathway. Developmental Biology. 371(2). 191–202. 30 indexed citations
13.
Zielke, Norman, Kerry J. Kim, Vuong Tran, et al.. (2011). Control of Drosophila endocycles by E2F and CRL4CDT2. Nature. 480(7375). 123–127. 118 indexed citations
14.
Li, Ling, Bruce A. Edgar, & Savraj Grewal. (2010). Nutritional control of gene expression in Drosophila larvae via TOR, Myc and a novel cis-regulatory element. BMC Cell Biology. 11(1). 7–7. 58 indexed citations
15.
Grewal, Savraj, et al.. (2007). Drosophila TIF-IA is required for ribosome synthesis and cell growth and is regulated by the TOR pathway. The Journal of Cell Biology. 179(6). 1105–1113. 81 indexed citations
16.
Grewal, Savraj & Bruce A. Edgar. (2003). Controlling cell division in yeast and animals: does size matter?. Journal of Biology. 2(1). 5–5. 26 indexed citations
17.
Grewal, Savraj, Angela Horgan, Randall D. York, et al.. (2000). Neuronal Calcium Activates a Rap1 and B-Raf Signaling Pathway via the Cyclic Adenosine Monophosphate-dependent Protein Kinase. Journal of Biological Chemistry. 275(5). 3722–3728. 138 indexed citations
18.
Grewal, Savraj, Randall D. York, & Philip A. Stork. (1999). Extracellular-signal-regulated kinase signalling in neurons. Current Opinion in Neurobiology. 9(5). 544–553. 492 indexed citations
19.
Shepherd, Jon K., Savraj Grewal, Allan Fletcher, David J. Bill, & Colin T. Dourish. (1994). Behavioural and pharmacological characterisation of the elevated “zero-maze” as an animal model of anxiety. Psychopharmacology. 116(1). 56–64. 594 indexed citations breakdown →
20.
Shepherd, Joshua, Savraj Grewal, Allan Fletcher, David J. Bill, & Colin T. Dourish. (1993). PHARMACOLOGICAL EVALUATION OF THE ELEVATED ZERO-MAZE AS A MODEL OF ANXIETY IN RATS. British Journal of Pharmacology. 110. 2 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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