S Basu

3.5k total citations
63 papers, 2.3k citations indexed

About

S Basu is a scholar working on Molecular Biology, Organic Chemistry and Insect Science. According to data from OpenAlex, S Basu has authored 63 papers receiving a total of 2.3k indexed citations (citations by other indexed papers that have themselves been cited), including 46 papers in Molecular Biology, 16 papers in Organic Chemistry and 12 papers in Insect Science. Recurrent topics in S Basu's work include Glycosylation and Glycoproteins Research (24 papers), Carbohydrate Chemistry and Synthesis (16 papers) and Insect symbiosis and bacterial influences (11 papers). S Basu is often cited by papers focused on Glycosylation and Glycoproteins Research (24 papers), Carbohydrate Chemistry and Synthesis (16 papers) and Insect symbiosis and bacterial influences (11 papers). S Basu collaborates with scholars based in United States, United Kingdom and Estonia. S Basu's co-authors include Bernard Kaufman, Saul Roseman, Jason R. Andrews, Moumita Basu, Michelle A. E. Anderson, Zach N. Adelman, Rudolph E. Tanzi, Melvin G. McInnis, Rodney C.P. Go and Kristina Mullin and has published in prestigious journals such as Science, Proceedings of the National Academy of Sciences and The Lancet.

In The Last Decade

S Basu

62 papers receiving 2.2k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
S Basu United States 23 1.4k 502 415 372 339 63 2.3k
Ian Macreadie Australia 32 1.7k 1.3× 464 0.9× 158 0.4× 81 0.2× 154 0.5× 158 3.3k
Stephen Hyslop Brazil 34 1.5k 1.1× 404 0.8× 2.0k 4.9× 338 0.9× 80 0.2× 178 3.8k
Peter P. McCann United States 39 4.8k 3.5× 224 0.4× 205 0.5× 197 0.5× 520 1.5× 99 6.5k
David M. Byers Canada 28 1.9k 1.4× 422 0.8× 279 0.7× 82 0.2× 145 0.4× 107 3.1k
Walter Becker Germany 46 3.2k 2.3× 553 1.1× 949 2.3× 93 0.3× 205 0.6× 136 6.8k
D. Migliore-Samour France 20 1.2k 0.8× 174 0.3× 227 0.5× 112 0.3× 68 0.2× 40 1.7k
Tiago Collares Brazil 29 773 0.6× 134 0.3× 295 0.7× 330 0.9× 454 1.3× 155 2.9k
Brian L. Mark Canada 32 1.7k 1.3× 426 0.8× 473 1.1× 45 0.1× 774 2.3× 69 3.0k
F. Van Leuven Belgium 27 1.5k 1.1× 654 1.3× 169 0.4× 81 0.2× 71 0.2× 54 2.9k
Michael Duszenko Germany 33 1.5k 1.1× 713 1.4× 99 0.2× 86 0.2× 354 1.0× 83 3.4k

Countries citing papers authored by S Basu

Since Specialization
Citations

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

Fields of papers citing papers by S Basu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of S Basu

This figure shows the co-authorship network connecting the top 25 collaborators of S Basu. A scholar is included among the top collaborators of S Basu 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 S Basu. S Basu 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.
Leftwich, Philip T., Jessica Purcell, Michelle A. E. Anderson, et al.. (2024). A Synthetic Biology Approach to Transgene Expression in Insects. ACS Synthetic Biology. 13(9). 3041–3045.
2.
Anderson, Michelle A. E., Philip T. Leftwich, R.H. Wilson, et al.. (2023). AePUb promoter length modulates gene expression in Aedes aegypti. Scientific Reports. 13(1). 20352–20352. 1 indexed citations
3.
Sanz‐Bernardo, Beatriz, Ismar R. Haga, S Basu, et al.. (2022). The Acquisition and Retention of Lumpy Skin Disease Virus by Blood-Feeding Insects Is Influenced by the Source of Virus, the Insect Body Part, and the Time since Feeding. Journal of Virology. 96(15). e0075122–e0075122. 16 indexed citations
4.
5.
Flis, Ilona, Michelle A. E. Anderson, Philippa C. Hawes, et al.. (2020). Targeting female flight for genetic control of mosquitoes. PLoS neglected tropical diseases. 14(12). e0008876–e0008876. 16 indexed citations
6.
Abdelnabi, Rana, et al.. (2020). Understanding the Mechanisms Underlying Host Restriction of Insect-Specific Viruses. Viruses. 12(9). 964–964. 19 indexed citations
7.
Harvey‐Samuel, Tim, S Basu, Sarah Scaife, et al.. (2019). Engineered action at a distance: Blood-meal-inducible paralysis in Aedes aegypti. PLoS neglected tropical diseases. 13(9). e0007579–e0007579. 9 indexed citations
8.
Hall, A. Brantley, Vladimir A. Timoshevskiy, Maria V. Sharakhova, et al.. (2014). Insights into the Preservation of the Homomorphic Sex-Determining Chromosome of Aedes aegypti from the Discovery of a Male-Biased Gene Tightly Linked to the M-Locus. Genome Biology and Evolution. 6(1). 179–191. 27 indexed citations
9.
Lee, John Tayu, Sutapa Agrawal, S Basu, Stanton A. Glantz, & Christopher Millett. (2013). Association between smoke-free workplace and second-hand smoke exposure at home in India. Tobacco Control. 23(4). 308–312. 28 indexed citations
10.
Andrews, Jason R. & S Basu. (2011). Transmission dynamics and control of cholera in Haiti: an epidemic model. The Lancet. 377(9773). 1248–1255. 156 indexed citations
11.
Stückler, David, S Basu, & Martin McKee. (2011). Commentary: UN high level meeting on non-communicable diseases: an opportunity for whom?. BMJ. 343(aug23 3). d5336–d5336. 31 indexed citations
12.
Miles, Wayne, Ellis Jaffray, Susan G. Campbell, et al.. (2008). Medea SUMOylation restricts the signaling range of the Dpp morphogen in the Drosophila embryo. Genes & Development. 22(18). 2578–2590. 40 indexed citations
13.
Basu, S, et al.. (2004). Smad Affinity Can Direct Distinct Readouts of the Embryonic Extracellular Dpp Gradient in Drosophila. Current Biology. 14(17). 1550–1558. 47 indexed citations
14.
Kumar, Raj, et al.. (2000). Psychiatric Aspects of Headache: Initial Experience from a Newly Established Headache Clinic. Hong Kong journal of psychiatry. 10(4). 4. 1 indexed citations
15.
Bertram, Lars, Deborah Blacker, Adam Crystal, et al.. (2000). Candidate genes showing no evidence for association or linkage with Alzheimer's disease using family-based methodologies. Experimental Gerontology. 35(9-10). 1353–1361. 47 indexed citations
16.
Ashley‐Koch, Allison E., Chantelle M. Wolpert, Marisa M. Menold, et al.. (1999). Genetic Studies of Autistic Disorder and Chromosome 7. Genomics. 61(3). 227–236. 147 indexed citations
17.
Basu, S, et al.. (1990). Carbohydrate and hydrophobic-carbohydrate recognition sites (CARS and HY-CARS) in solubilized glycosyltransferases.. PubMed. 27(6). 386–95. 9 indexed citations
18.
Basu, Moumita, et al.. (1988). Biosynthesis of tumour-related glycosphingolipids.. PubMed. 25(1-2). 112–8. 6 indexed citations
19.
Basu, S, et al.. (1988). Resolution of glycosyltransferases involved in the biosynthesis in vitro of cell surface glycosphingolipids.. PubMed. 25(1-2). 119–26. 3 indexed citations
20.
Das, Kusal K., Moumita Basu, & S Basu. (1986). Tunicamycin-induced inhibition of a glycolipid:GalNAc-transferase in guinea pig tumor cells. Fed. Proc., Fed. Am. Soc. Exp. Biol.; (United States). 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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