Pratyaydipta Rudra

608 total citations
26 papers, 370 citations indexed

About

Pratyaydipta Rudra is a scholar working on Molecular Biology, Cancer Research and Genetics. According to data from OpenAlex, Pratyaydipta Rudra has authored 26 papers receiving a total of 370 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Molecular Biology, 5 papers in Cancer Research and 4 papers in Genetics. Recurrent topics in Pratyaydipta Rudra's work include MicroRNA in disease regulation (4 papers), Genetic Mapping and Diversity in Plants and Animals (3 papers) and Veterinary Equine Medical Research (3 papers). Pratyaydipta Rudra is often cited by papers focused on MicroRNA in disease regulation (4 papers), Genetic Mapping and Diversity in Plants and Animals (3 papers) and Veterinary Equine Medical Research (3 papers). Pratyaydipta Rudra collaborates with scholars based in United States, France and Germany. Pratyaydipta Rudra's co-authors include Debashis Ghosh, Elena W.Y. Hsieh, Heide L. Ford, Hengbo Zhou, Rebecca L. Vartuli, Lingdi Zhang, Ronald P. Schuyler, Josselyn E. Garcia‐Perez, Rosemary Rochford and Ryan M. Baxter and has published in prestigious journals such as Journal of Clinical Investigation, Nature Communications and The Journal of Experimental Medicine.

In The Last Decade

Pratyaydipta Rudra

26 papers receiving 367 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Pratyaydipta Rudra United States 10 236 86 59 57 29 26 370
Julia Meier Germany 9 226 1.0× 48 0.6× 19 0.3× 70 1.2× 19 0.7× 19 348
Maja Studencka‐Turski Germany 13 332 1.4× 93 1.1× 36 0.6× 68 1.2× 16 0.6× 16 479
Sophie Pritchard United Kingdom 3 130 0.6× 71 0.8× 25 0.4× 57 1.0× 16 0.6× 3 253
Yeojin Lee South Korea 11 211 0.9× 87 1.0× 41 0.7× 32 0.6× 39 1.3× 20 487
Dragana Vujić Serbia 11 271 1.1× 47 0.5× 61 1.0× 100 1.8× 19 0.7× 43 450
Winston R. Becker United States 7 290 1.2× 38 0.4× 110 1.9× 71 1.2× 23 0.8× 10 389
Martin Eberhardt Germany 11 290 1.2× 95 1.1× 172 2.9× 44 0.8× 12 0.4× 23 407
Akie Maehara Japan 11 164 0.7× 278 3.2× 33 0.6× 70 1.2× 36 1.2× 18 492
Shuxin Fan China 12 271 1.1× 39 0.5× 130 2.2× 21 0.4× 13 0.4× 19 427
Kozo Ohkusu‐Tsukada Japan 12 235 1.0× 135 1.6× 54 0.9× 206 3.6× 13 0.4× 36 515

Countries citing papers authored by Pratyaydipta Rudra

Since Specialization
Citations

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

Fields of papers citing papers by Pratyaydipta Rudra

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Pratyaydipta Rudra

This figure shows the co-authorship network connecting the top 25 collaborators of Pratyaydipta Rudra. A scholar is included among the top collaborators of Pratyaydipta Rudra 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 Pratyaydipta Rudra. Pratyaydipta Rudra 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.
DeSilva, Udaya, et al.. (2024). Fecal microbiota composition, serum metabolomics, and markers of inflammation in dogs fed a raw meat-based diet compared to those on a kibble diet. Frontiers in Veterinary Science. 11. 1328513–1328513. 4 indexed citations
2.
Baxter, Ryan M., Josselyn E. Garcia‐Perez, Daniel S. Kong, et al.. (2023). Expansion of extrafollicular B and T cell subsets in childhood-onset systemic lupus erythematosus. Frontiers in Immunology. 14. 1208282–1208282. 9 indexed citations
3.
Rudra, Pratyaydipta, et al.. (2023). Assessment of Mercury Concentrations in Water and Fish Tissue Analysis in Kaw Lake, Oklahoma, 2022. Journal of Environmental Protection. 14(1). 50–65. 2 indexed citations
4.
Rudra, Pratyaydipta, Ryan M. Baxter, Elena W.Y. Hsieh, & Debashis Ghosh. (2022). Compositional Data Analysis using Kernels in mass cytometry data. Bioinformatics Advances. 2(1). vbac003–vbac003. 3 indexed citations
5.
6.
Rudra, Pratyaydipta, et al.. (2021). Clinical health markers in dogs fed raw meat-based or commercial extruded kibble diets. Journal of Animal Science. 99(6). 11 indexed citations
7.
Radcliffe, Richard A., Robin D. Dowell, Aaron Odell, et al.. (2020). Systems genetics analysis of the LXS recombinant inbred mouse strains:Genetic and molecular insights into acute ethanol tolerance. PLoS ONE. 15(10). e0240253–e0240253. 1 indexed citations
8.
Oliphant, Michael, Matthew D. Galbraith, Ahwan Pandey, et al.. (2019). SIX2 Mediates Late-Stage Metastasis via Direct Regulation of SOX2 and Induction of a Cancer Stem Cell Program. Cancer Research. 79(4). 720–734. 34 indexed citations
9.
Rudra, Pratyaydipta, et al.. (2019). Insight into genetic regulation of miRNA in mouse brain. BMC Genomics. 20(1). 849–849. 4 indexed citations
10.
Schuyler, Ronald P., Josselyn E. Garcia‐Perez, Ryan M. Baxter, et al.. (2019). Minimizing Batch Effects in Mass Cytometry Data. Frontiers in Immunology. 10. 2367–2367. 56 indexed citations
11.
Vartuli, Rebecca L., Hengbo Zhou, Lingdi Zhang, et al.. (2018). Eya3 promotes breast tumor–associated immune suppression via threonine phosphatase–mediated PD-L1 upregulation. Journal of Clinical Investigation. 128(6). 2535–2550. 34 indexed citations
12.
Zhang, Lingdi, Hengbo Zhou, Xueni Li, et al.. (2018). Eya3 partners with PP2A to induce c-Myc stabilization and tumor progression. Nature Communications. 9(1). 1047–1047. 61 indexed citations
13.
Rudra, Pratyaydipta, Pamela Russell, Brian Vestal, et al.. (2018). Predictive modeling of miRNA-mediated predisposition to alcohol-related phenotypes in mouse. BMC Genomics. 19(1). 639–639. 4 indexed citations
14.
Nedumaran, Balachandar, Ricardo Pineda, Pratyaydipta Rudra, Sanghee Lee, & Anna P. Malykhina. (2018). Association of genetic polymorphisms in the pore domains of mechano‐gated TREK‐1 channel with overactive lower urinary tract symptoms in humans. Neurourology and Urodynamics. 38(1). 144–150. 6 indexed citations
15.
Rudra, Pratyaydipta, K. Alaine Broadaway, Erin B. Ware, et al.. (2018). Testing cross‐phenotype effects of rare variants in longitudinal studies of complex traits. Genetic Epidemiology. 42(4). 320–332. 3 indexed citations
16.
Vestal, Brian, Pratyaydipta Rudra, Robin D. Dowell, et al.. (2018). miR-MaGiC improves quantification accuracy for small RNA-seq. BMC Research Notes. 11(1). 296–296. 9 indexed citations
17.
Getahun, Andrew, Scott M. Wemlinger, Pratyaydipta Rudra, et al.. (2017). Impaired B cell function during viral infections due to PTEN-mediated inhibition of the PI3K pathway. The Journal of Experimental Medicine. 214(4). 931–941. 24 indexed citations
18.
Nedumaran, Balachandar, Pratyaydipta Rudra, Sushil Kumar, et al.. (2017). Impact of Regular Cannabis Use on Biomarkers of Lower Urinary Tract Function. Urology. 109. 223.e9–223.e16. 11 indexed citations
19.
O’Gorman, William, Daniel S. Kong, Imelda Balboni, et al.. (2017). Mass cytometry identifies a distinct monocyte cytokine signature shared by clinically heterogeneous pediatric SLE patients. Journal of Autoimmunity. 81. 74–89. 46 indexed citations
20.
Rudra, Pratyaydipta, Brian Vestal, Pamela Russell, et al.. (2017). Model based heritability scores for high-throughput sequencing data. BMC Bioinformatics. 18(1). 143–143. 11 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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