Rupinder Kaur

2.6k total citations
72 papers, 2.0k citations indexed

About

Rupinder Kaur is a scholar working on Infectious Diseases, Molecular Biology and Epidemiology. According to data from OpenAlex, Rupinder Kaur has authored 72 papers receiving a total of 2.0k indexed citations (citations by other indexed papers that have themselves been cited), including 37 papers in Infectious Diseases, 28 papers in Molecular Biology and 28 papers in Epidemiology. Recurrent topics in Rupinder Kaur's work include Antifungal resistance and susceptibility (36 papers), Fungal Infections and Studies (23 papers) and Fungal and yeast genetics research (14 papers). Rupinder Kaur is often cited by papers focused on Antifungal resistance and susceptibility (36 papers), Fungal Infections and Studies (23 papers) and Fungal and yeast genetics research (14 papers). Rupinder Kaur collaborates with scholars based in India, United States and Saudi Arabia. Rupinder Kaur's co-authors include Brendan P. Cormack, Biao Ma, Anand Bachhawat, Margaret L. Zupancic, Irene Castaño, Zorawar Singh, Sriram Balusu, Sapan Borah, Raju Shivarathri and Imran Kazmi and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and Journal of Biological Chemistry.

In The Last Decade

Rupinder Kaur

69 papers receiving 2.0k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Rupinder Kaur India 25 1.1k 847 738 321 274 72 2.0k
Sarah Whaley United States 20 879 0.8× 513 0.6× 608 0.8× 320 1.0× 102 0.4× 27 2.0k
Mikhail V. Keniya New Zealand 16 959 0.9× 479 0.6× 597 0.8× 211 0.7× 222 0.8× 30 1.7k
Tulika Prasad India 22 795 0.7× 602 0.7× 473 0.6× 172 0.5× 99 0.4× 47 1.8k
Lan Yan China 25 846 0.8× 654 0.8× 496 0.7× 433 1.3× 94 0.3× 82 1.9k
Shujuan Sun China 30 1.1k 1.1× 608 0.7× 627 0.8× 341 1.1× 85 0.3× 72 2.1k
Kyoko Niimi Japan 26 1.4k 1.3× 763 0.9× 1.1k 1.4× 274 0.9× 387 1.4× 77 2.7k
Patrick Marichal Belgium 27 1.5k 1.4× 699 0.8× 1.1k 1.5× 398 1.2× 211 0.8× 38 2.6k
Sameh S. M. Soliman United Arab Emirates 26 621 0.6× 580 0.7× 308 0.4× 443 1.4× 137 0.5× 121 2.2k
Laurent R. Chiarelli Italy 30 582 0.5× 1.5k 1.8× 408 0.6× 161 0.5× 79 0.3× 93 2.7k
J Brajtburg United States 21 985 0.9× 700 0.8× 541 0.7× 178 0.6× 89 0.3× 38 2.2k

Countries citing papers authored by Rupinder Kaur

Since Specialization
Citations

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

Fields of papers citing papers by Rupinder Kaur

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Rupinder Kaur

This figure shows the co-authorship network connecting the top 25 collaborators of Rupinder Kaur. A scholar is included among the top collaborators of Rupinder Kaur 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 Rupinder Kaur. Rupinder Kaur 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.
Kaur, Rupinder, et al.. (2024). Aspartyl proteases target host actin nucleator complex protein to limit epithelial innate immunity. EMBO Reports. 25(11). 4846–4875.
2.
Kaur, Rupinder, et al.. (2024). SWI/SNF complex-mediated chromatin remodeling in Candida glabrata promotes immune evasion. iScience. 27(4). 109607–109607. 3 indexed citations
3.
4.
Kaur, Rupinder, et al.. (2023). Phosphatidylinositol 3-phosphate regulates iron transport via PI3P-binding CgPil1 protein. Cell Reports. 42(8). 112855–112855. 1 indexed citations
5.
Kaur, Rupinder, et al.. (2022). The SET-domain protein CgSet4 negatively regulates antifungal drug resistance via the ergosterol biosynthesis transcriptional regulator CgUpc2a. Journal of Biological Chemistry. 298(10). 102485–102485. 10 indexed citations
6.
Singh, Khushwant, et al.. (2022). Immunomodulatory effects of β-defensin 2 on macrophages induced immuno-upregulation and their antitumor function in breast cancer. BMC Immunology. 23(1). 53–53. 8 indexed citations
7.
Kaur, Rupinder, et al.. (2020). Genome protection: histone H4 and beyond. Current Genetics. 66(5). 945–950. 10 indexed citations
8.
Kaur, Rupinder, et al.. (2020). Histone H4 dosage modulates DNA damage response in the pathogenic yeast Candida glabrata via homologous recombination pathway. PLoS Genetics. 16(3). e1008620–e1008620. 10 indexed citations
9.
Kaur, Rupinder, et al.. (2018). Chloroquine diphosphate bearing dextran nanoparticles augmented drug delivery and overwhelmed drug resistance in Plasmodium falciparum parasites. International Journal of Biological Macromolecules. 114. 161–168. 24 indexed citations
10.
Singh, Narinder, et al.. (2017). Virosomes as Novel drug delivery System: An Overview. Pharmatutor. 5(9). 47–55. 8 indexed citations
11.
Sharma, Vandana, et al.. (2016). The Phosphoinositide 3-Kinase Regulates Retrograde Trafficking of the Iron Permease CgFtr1 and Iron Homeostasis in Candida glabrata. Journal of Biological Chemistry. 291(47). 24715–24734. 16 indexed citations
12.
Singh, Zorawar, et al.. (2014). Use of Malondialdehyde as a Biomarker for Assessing Oxidative Stress in Different Disease Pathologies: a Review. SHILAP Revista de lepidopterología. 43(3). 7–16. 102 indexed citations
13.
Afzal, Muhammad, et al.. (2013). Comparison of protective and curative potential ofDaucus carotaroot extract on renal ischemia reperfusion injury in rats. Pharmaceutical Biology. 51(7). 856–862. 9 indexed citations
14.
Gupta, Ritu, Muhammad Afzal, Zoheir A. Damanhouri, et al.. (2013). Anticonvulsant activity of ethanol extracts ofVetiveria zizanioidesroots in experimental mice. Pharmaceutical Biology. 51(12). 1521–1524. 19 indexed citations
15.
Borah, Sapan, et al.. (2013). Establishment of an <em>In vitro</em> System to Study Intracellular Behavior of <em>Candida glabrata</em> in Human THP-1 Macrophages. Journal of Visualized Experiments. e50625–e50625. 8 indexed citations
16.
Balusu, Sriram, et al.. (2012). Functional Genomic Analysis of Candida glabrata-Macrophage Interaction: Role of Chromatin Remodeling in Virulence. PLoS Pathogens. 8(8). e1002863–e1002863. 86 indexed citations
17.
Kaur, Rupinder, et al.. (2010). A novel role for a glycosylphosphatidylinositol‐anchored aspartyl protease, CgYps1, in the regulation of pH homeostasis in Candida glabrata. Molecular Microbiology. 79(4). 900–913. 40 indexed citations
18.
Chadha, Renu, et al.. (2008). Drug carrier systems for anticancer agents: A review. Journal of Scientific & Industrial Research. 67(3). 185–197. 24 indexed citations
19.
Kaur, Rupinder, et al.. (2005). A yeast by any other name: Candida glabrata and its interaction with the host. Current Opinion in Microbiology. 8(4). 378–384. 213 indexed citations
20.
Kaur, Rupinder, Raj Kumar, & Anand Bachhawat. (1995). Selective recovery of DNA fragments from silica particles: effect of A-T content and elution conditions. Nucleic Acids Research. 23(23). 4932–4933. 6 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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