Saurabh G. Roy

794 total citations
10 papers, 574 citations indexed

About

Saurabh G. Roy is a scholar working on Molecular Biology, Immunology and Cellular and Molecular Neuroscience. According to data from OpenAlex, Saurabh G. Roy has authored 10 papers receiving a total of 574 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 6 papers in Immunology and 4 papers in Cellular and Molecular Neuroscience. Recurrent topics in Saurabh G. Roy's work include Neurobiology and Insect Physiology Research (4 papers), Neutrophil, Myeloperoxidase and Oxidative Mechanisms (3 papers) and Invertebrate Immune Response Mechanisms (3 papers). Saurabh G. Roy is often cited by papers focused on Neurobiology and Insect Physiology Research (4 papers), Neutrophil, Myeloperoxidase and Oxidative Mechanisms (3 papers) and Invertebrate Immune Response Mechanisms (3 papers). Saurabh G. Roy collaborates with scholars based in United States, Switzerland and Canada. Saurabh G. Roy's co-authors include Alexander S. Raikhel, Immo A. Hansen, Geoffrey M. Attardo, Aimee L. Edinger, Amit Prasad, Yonghui Jia, Hongbo R. Luo, Subhanjan Mondal, Fabien Loison and Yitang Li and has published in prestigious journals such as Journal of Biological Chemistry, Blood and Nature Immunology.

In The Last Decade

Saurabh G. Roy

10 papers receiving 574 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Saurabh G. Roy United States 10 278 205 172 150 75 10 574
Sudhir Gopal Tattikota United States 11 286 1.0× 146 0.7× 153 0.9× 318 2.1× 60 0.8× 19 677
Helena Araujo Brazil 16 445 1.6× 126 0.6× 122 0.7× 123 0.8× 25 0.3× 43 672
Jiwon Shim South Korea 15 284 1.0× 302 1.5× 255 1.5× 596 4.0× 121 1.6× 31 912
Wendy K. Lockwood United States 6 417 1.5× 324 1.6× 88 0.5× 151 1.0× 25 0.3× 7 803
Zhongsheng Yu China 13 805 2.9× 133 0.6× 162 0.9× 119 0.8× 44 0.6× 26 997
Gloria Volohonsky Israel 14 459 1.7× 93 0.5× 116 0.7× 218 1.5× 110 1.5× 16 659
Meijuan Cai China 14 276 1.0× 236 1.2× 113 0.7× 67 0.4× 14 0.2× 28 492
Coralia Pérez Spain 12 292 1.1× 157 0.8× 57 0.3× 69 0.5× 18 0.2× 16 477
Alex Pinder Australia 7 292 1.1× 70 0.3× 76 0.4× 85 0.6× 56 0.7× 9 533
Zhihao Yang China 12 687 2.5× 112 0.5× 156 0.9× 79 0.5× 37 0.5× 16 823

Countries citing papers authored by Saurabh G. Roy

Since Specialization
Citations

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

Fields of papers citing papers by Saurabh G. Roy

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Saurabh G. Roy. 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 Saurabh G. Roy. The network helps show where Saurabh G. Roy may publish in the future.

Co-authorship network of co-authors of Saurabh G. Roy

This figure shows the co-authorship network connecting the top 25 collaborators of Saurabh G. Roy. A scholar is included among the top collaborators of Saurabh G. Roy 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 Saurabh G. Roy. Saurabh G. Roy is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

10 of 10 papers shown
1.
Finicle, Brendan T., et al.. (2018). Sphingolipids inhibit endosomal recycling of nutrient transporters by inactivating ARF6. Journal of Cell Science. 131(12). 15 indexed citations
2.
Holden, Jeffrey K., Soosung Kang, Federico C. Beasley, et al.. (2015). Nitric Oxide Synthase as a Target for Methicillin-Resistant Staphylococcus aureus. Chemistry & Biology. 22(6). 785–792. 17 indexed citations
3.
4.
Roy, Saurabh G., Michael Stevens, Lomon So, & Aimee L. Edinger. (2013). Reciprocal effects ofrab7deletion in activated and neglected T cells. Autophagy. 9(7). 1009–1023. 31 indexed citations
5.
Prasad, Amit, Yonghui Jia, Anutosh Chakraborty, et al.. (2011). Inositol hexakisphosphate kinase 1 regulates neutrophil function in innate immunity by inhibiting phosphatidylinositol-(3,4,5)-trisphosphate signaling. Nature Immunology. 12(8). 752–760. 79 indexed citations
6.
7.
Roy, Saurabh G. & Alexander S. Raikhel. (2011). Nutritional and hormonal regulation of the TOR effector 4E‐binding protein (4E‐BP) in the mosquito Aedes aegypti. The FASEB Journal. 26(3). 1334–1342. 42 indexed citations
8.
Roy, Saurabh G. & Alexander S. Raikhel. (2010). The small GTPase Rheb is a key component linking amino acid signaling and TOR in the nutritional pathway that controls mosquito egg development. Insect Biochemistry and Molecular Biology. 41(1). 62–69. 47 indexed citations
9.
Roy, Saurabh G., Immo A. Hansen, & Alexander S. Raikhel. (2007). Effect of insulin and 20-hydroxyecdysone in the fat body of the yellow fever mosquito, Aedes aegypti. Insect Biochemistry and Molecular Biology. 37(12). 1317–1326. 127 indexed citations
10.
Hansen, Immo A., Geoffrey M. Attardo, Saurabh G. Roy, & Alexander S. Raikhel. (2005). Target of Rapamycin-dependent Activation of S6 Kinase Is a Central Step in the Transduction of Nutritional Signals during Egg Development in a Mosquito. Journal of Biological Chemistry. 280(21). 20565–20572. 134 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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