Yask Gupta

609 total citations
18 papers, 256 citations indexed

About

Yask Gupta is a scholar working on Molecular Biology, Immunology and Physiology. According to data from OpenAlex, Yask Gupta has authored 18 papers receiving a total of 256 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Molecular Biology, 6 papers in Immunology and 4 papers in Physiology. Recurrent topics in Yask Gupta's work include Renal Diseases and Glomerulopathies (3 papers), Cancer-related molecular mechanisms research (3 papers) and Gut microbiota and health (3 papers). Yask Gupta is often cited by papers focused on Renal Diseases and Glomerulopathies (3 papers), Cancer-related molecular mechanisms research (3 papers) and Gut microbiota and health (3 papers). Yask Gupta collaborates with scholars based in Germany, United States and United Kingdom. Yask Gupta's co-authors include Saleh Ibrahim, Ralf J. Ludwig, Tanya Sezin, Christian D. Sadik, Artem Vorobyev, Detlef Zillikens, John F. Baines, Meriem Belheouane, Steffen Möller and Graeme M. Campbell and has published in prestigious journals such as Nature, Nucleic Acids Research and Nature Communications.

In The Last Decade

Yask Gupta

17 papers receiving 253 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yask Gupta Germany 8 116 42 41 38 38 18 256
Xiaoxuan Chen China 10 202 1.7× 33 0.8× 42 1.0× 12 0.3× 22 0.6× 31 326
Houda Belguendouz Algeria 13 117 1.0× 57 1.4× 68 1.7× 90 2.4× 20 0.5× 35 387
Beatriz E. Brito Venezuela 10 80 0.7× 40 1.0× 89 2.2× 55 1.4× 17 0.4× 18 399
Axel Künstner Germany 11 101 0.9× 44 1.0× 70 1.7× 38 1.0× 21 0.6× 30 357
Qiang Wei China 13 135 1.2× 29 0.7× 47 1.1× 10 0.3× 68 1.8× 49 442
Tomoya Sano Japan 12 96 0.8× 71 1.7× 17 0.4× 23 0.6× 22 0.6× 51 373
Verena Moosbrugger‐Martinz Austria 14 109 0.9× 81 1.9× 108 2.6× 35 0.9× 24 0.6× 23 541
Elena Rita Simula Italy 10 158 1.4× 25 0.6× 32 0.8× 12 0.3× 35 0.9× 27 317
Rongbei Liu China 9 223 1.9× 42 1.0× 113 2.8× 19 0.5× 62 1.6× 19 439

Countries citing papers authored by Yask Gupta

Since Specialization
Citations

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

Fields of papers citing papers by Yask Gupta

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yask Gupta

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

All Works

18 of 18 papers shown
1.
Simeone, Christopher A., Michelle T. McNulty, Yask Gupta, et al.. (2024). The APOL1 p.N264K variant is co-inherited with the G2 kidney disease risk variant through a proximity recombination event. G3 Genes Genomes Genetics. 15(2). 2 indexed citations
2.
Gupta, Yask, Artem Vorobyev, Detlef Zillikens, et al.. (2023). Impact of diet and host genetics on the murine intestinal mycobiome. Nature Communications. 14(1). 834–834. 13 indexed citations
3.
Bieber, Katja, Yask Gupta, Artem Vorobyev, et al.. (2023). Forward genetics and functional analysis highlight Itga11 as a modulator of murine psoriasiform dermatitis. The Journal of Pathology. 261(2). 184–197. 3 indexed citations
4.
Hermes, Britt M., et al.. (2023). Genome-wide mapping of gene-microbe interactions in the murine lung microbiota based on quantitative microbial profiling. SHILAP Revista de lepidopterología. 5(1). 31–31. 3 indexed citations
5.
Gupta, Yask, Juntao Ke, Gundula Povysil, et al.. (2023). Multi-Ethnic Genome-Wide Association Study (GWAS) for Idiopathic Nephrotic Syndrome Identifies Susceptibility Loci Across the Life Span, Response to Therapy, and Genetic Ancestry. Journal of the American Society of Nephrology. 34(11S). 304–305.
6.
Sezin, Tanya, et al.. (2021). The G protein‐coupled receptor 15 (GPR15) regulates cutaneous immunology by maintaining dendritic epidermal T cells and regulating the skin microbiome. European Journal of Immunology. 51(6). 1390–1398. 5 indexed citations
7.
Steers, Nicholas J., Yask Gupta, Vivette D. D’Agati, et al.. (2021). GWAS in Mice Maps Susceptibility to HIV-Associated Nephropathy to the Ssbp2 Locus. Journal of the American Society of Nephrology. 33(1). 108–120. 4 indexed citations
8.
Jaster, Robert, Yask Gupta, Sarah L. Rohde, et al.. (2020). Impact of diet and genes on murine autoimmune pancreatitis. Journal of Cellular and Molecular Medicine. 24(15). 8862–8870. 5 indexed citations
9.
Sezin, Tanya, Artem Vorobyev, Christian D. Sadik, et al.. (2018). Gene Expression Analysis Reveals Novel Shared Gene Signatures and Candidate Molecular Mechanisms between Pemphigus and Systemic Lupus Erythematosus in CD4+ T Cells. Frontiers in Immunology. 8. 1992–1992. 50 indexed citations
10.
Belheouane, Meriem, Yask Gupta, Sven Künzel, Saleh Ibrahim, & John F. Baines. (2017). Improved detection of gene-microbe interactions in the mouse skin microbiota using high-resolution QTL mapping of 16S rRNA transcripts. Microbiome. 5(1). 59–59. 25 indexed citations
11.
Hirose, Misa, Paul Schilf, Yask Gupta, et al.. (2016). Lifespan effects of mitochondrial mutations. Nature. 540(7633). E13–E14. 12 indexed citations
12.
Gupta, Yask, Steffen Möller, Mareike Witte, et al.. (2016). Dissecting genetics of cutaneous miRNA in a mouse model of an autoimmune blistering disease. BMC Genomics. 17(1). 112–112. 37 indexed citations
13.
Beek, Nina van, Aikaterini Patsatsi, Yask Gupta, et al.. (2015). A Family with Atypical Hailey Hailey Disease- Is There More to the Underlying Genetics than ATP2C1?. PLoS ONE. 10(4). e0121253–e0121253. 5 indexed citations
14.
Gupta, Yask, Mareike Witte, Steffen Möller, et al.. (2014). ptRNApred: computational identification and classification of post-transcriptional RNA. Nucleic Acids Research. 42(22). e167–e167. 3 indexed citations
15.
Huebbe, Patricia, Janina Dose, Anke Schloesser, et al.. (2014). Apolipoprotein E (APOE) genotype regulates body weight and fatty acid utilization—Studies in gene‐targeted replacement mice. Molecular Nutrition & Food Research. 59(2). 334–343. 52 indexed citations
16.
Möller, Steffen, Pernilla Stridh, Yask Gupta, et al.. (2013). Combining genetic mapping with genome-wide expression in experimental autoimmune encephalomyelitis highlights a gene network enriched for T cell functions and candidate genes regulating autoimmunity. Human Molecular Genetics. 22(24). 4952–4966. 11 indexed citations
17.
Marques, Andreia, et al.. (2013). Genetic Control of Spontaneous Arthritis in a Four-Way Advanced Intercross Line. PLoS ONE. 8(10). e75611–e75611. 2 indexed citations
18.
Gupta, Yask, Pankaj Kumar Singh, Rajeev Rathour, et al.. (2013). Molecular diversity in rice blast resistance gene Pi-ta makes it highly effective against dynamic population of Magnaporthe oryzae. Functional & Integrative Genomics. 13(3). 309–322. 24 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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