Sumana Choudhury

479 total citations
19 papers, 360 citations indexed

About

Sumana Choudhury is a scholar working on Molecular Biology, Genetics and Surgery. According to data from OpenAlex, Sumana Choudhury has authored 19 papers receiving a total of 360 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Molecular Biology, 5 papers in Genetics and 3 papers in Surgery. Recurrent topics in Sumana Choudhury's work include Renal and related cancers (6 papers), Pluripotent Stem Cells Research (5 papers) and Epigenetics and DNA Methylation (5 papers). Sumana Choudhury is often cited by papers focused on Renal and related cancers (6 papers), Pluripotent Stem Cells Research (5 papers) and Epigenetics and DNA Methylation (5 papers). Sumana Choudhury collaborates with scholars based in India, United States and France. Sumana Choudhury's co-authors include Andrew H. Kaplan, Steve C. Pettit, Lorraine Everitt, Ben M. Dunn, Scott Harvey, Fred W. Perrino, Suzanna Bailey, Thomas Hollis, K. Naga Mohan and Roger M. Ilagan and has published in prestigious journals such as Journal of Biological Chemistry, SHILAP Revista de lepidopterología and Journal of Virology.

In The Last Decade

Sumana Choudhury

17 papers receiving 340 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Sumana Choudhury India 11 219 104 100 59 59 19 360
Karen Strait United States 6 147 0.7× 54 0.5× 71 0.7× 24 0.4× 44 0.7× 10 355
Maria V. Carroll United Kingdom 6 127 0.6× 89 0.9× 38 0.4× 18 0.3× 238 4.0× 9 404
Efrat Bucris Israel 14 316 1.4× 307 3.0× 35 0.3× 52 0.9× 29 0.5× 30 675
Gaël Vidricaire Canada 7 139 0.6× 75 0.7× 118 1.2× 20 0.3× 66 1.1× 8 356
Svetlana Gavrilov United States 7 221 1.0× 144 1.4× 218 2.2× 56 0.9× 134 2.3× 13 482
Daniel S. Foy United States 9 180 0.8× 59 0.6× 10 0.1× 26 0.4× 38 0.6× 17 390
W Lang Germany 9 175 0.8× 74 0.7× 19 0.2× 55 0.9× 48 0.8× 17 506
Gabriel Duette Argentina 9 185 0.8× 131 1.3× 105 1.1× 14 0.2× 122 2.1× 15 390
Pierangela Gallina Italy 7 144 0.7× 43 0.4× 55 0.6× 22 0.4× 55 0.9× 9 297
Andreas Linder Germany 7 210 1.0× 45 0.4× 24 0.2× 12 0.2× 191 3.2× 12 358

Countries citing papers authored by Sumana Choudhury

Since Specialization
Citations

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

Fields of papers citing papers by Sumana Choudhury

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sumana Choudhury

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

All Works

19 of 19 papers shown
1.
Choudhury, Sumana, et al.. (2024). DNMT1 Y495C mutation interferes with maintenance methylation of imprinting control regions. The International Journal of Biochemistry & Cell Biology. 169. 106535–106535.
2.
Choudhury, Sumana, et al.. (2023). Generation of a transgenic mouse embryonic stem cell line overexpressing DNMT1. Stem Cell Research. 71. 103141–103141. 1 indexed citations
3.
Choudhury, Sumana & K. Naga Mohan. (2021). Generation of a transgenic mouse embryonic stem cell line expressing Dnmt1 mutation associated with HSAN1E disorder. Stem Cell Research. 56. 102561–102561. 1 indexed citations
4.
Choudhury, Sumana, et al.. (2021). Functional Analysis of DNMT1 SNPs (rs2228611 and rs2114724) Associated with Schizophrenia. SHILAP Revista de lepidopterología. 2021. 1–8. 1 indexed citations
5.
Choudhury, Sumana, et al.. (2021). Dysregulation of Schizophrenia-Associated Genes and Genome-Wide Hypomethylation in Neurons Overexpressing DNMT1. Epigenomics. 13(19). 1539–1555. 10 indexed citations
6.
Mukhopadhyay, Jayanta, Sumana Choudhury, & Samarjit Sengupta. (2021). ANFIS Based Speed and Current Controller for Switched Reluctance Motor. 2021 IEEE 4th International Conference on Computing, Power and Communication Technologies (GUCON). 1–6.
7.
Choudhury, Sumana, et al.. (2020). Genome-wide methylation data from R1 (wild-type) and the transgenic Dnmt1 mouse embryonic stem cells overexpressing DNA methyltransferase 1 (DNMT1). SHILAP Revista de lepidopterología. 32. 106242–106242. 2 indexed citations
8.
9.
Choudhury, Sumana, et al.. (2020). Reproducible differentiation and characterization of neurons from mouse embryonic stem cells. MethodsX. 7. 101073–101073. 11 indexed citations
10.
Choudhury, Sumana, et al.. (2020). Effect of Steroid Therapy on Thyroid Function Status in Typically and Atypically Presented Nephrotic Syndrome. Chattagram Maa-O-Shishu Hospital Medical College Journal. 19(1). 28–32. 1 indexed citations
11.
Bruce, Andrew T., Roger M. Ilagan, Kelly Guthrie, et al.. (2015). Selected Renal Cells Modulate Disease Progression in Rodent Models of Chronic Kidney Disease Via NF-κB and TGF-β1 Pathways. Regenerative Medicine. 10(7). 815–839. 14 indexed citations
12.
Kelley, Rusty, A. Gregory Bruce, Thomas Spencer, et al.. (2012). A Population of Selected Renal Cells Augments Renal Function and Extends Survival in the ZSF1 Model of Progressive Diabetic Nephropathy. Cell Transplantation. 22(6). 1023–1039. 16 indexed citations
13.
Genheimer, Christopher W., Roger M. Ilagan, Thomas E. Spencer, et al.. (2012). Molecular Characterization of the Regenerative Response Induced by Intrarenal Transplantation of Selected Renal Cells in a Rodent Model of Chronic Kidney Disease. Cells Tissues Organs. 196(4). 374–384. 10 indexed citations
14.
Presnell, Sharon C., Andrew T. Bruce, Sumana Choudhury, et al.. (2010). Isolation, Characterization, and Expansion Methods for Defined Primary Renal Cell Populations from Rodent, Canine, and Human Normal and Diseased Kidneys. Tissue Engineering Part C Methods. 17(3). 261–273. 23 indexed citations
15.
Haque, Aman, et al.. (2010). Morphometry of purkinje cell body of cerebellum in bangladeshi cadaver.. PubMed. 19(4). 504–9. 1 indexed citations
16.
Kelley, Rusty, Andrew T. Bruce, Sumana Choudhury, et al.. (2010). Tubular cell-enriched subpopulation of primary renal cells improves survival and augments kidney function in rodent model of chronic kidney disease. American Journal of Physiology-Renal Physiology. 299(5). F1026–F1039. 51 indexed citations
17.
Choudhury, Sumana, et al.. (2007). The Crystal Structure of TREX1 Explains the 3′ Nucleotide Specificity and Reveals a Polyproline II Helix for Protein Partnering. Journal of Biological Chemistry. 282(14). 10537–10543. 90 indexed citations
18.
Pettit, Steve C., Lorraine Everitt, Sumana Choudhury, Ben M. Dunn, & Andrew H. Kaplan. (2004). Initial Cleavage of the Human Immunodeficiency Virus Type 1 GagPol Precursor by Its Activated Protease Occurs by an Intramolecular Mechanism. Journal of Virology. 78(16). 8477–8485. 105 indexed citations
19.

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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