Uttiya Basu

4.1k total citations
47 papers, 2.8k citations indexed

About

Uttiya Basu is a scholar working on Molecular Biology, Immunology and Epidemiology. According to data from OpenAlex, Uttiya Basu has authored 47 papers receiving a total of 2.8k indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Molecular Biology, 25 papers in Immunology and 8 papers in Epidemiology. Recurrent topics in Uttiya Basu's work include T-cell and B-cell Immunology (20 papers), Immune Cell Function and Interaction (15 papers) and RNA Research and Splicing (15 papers). Uttiya Basu is often cited by papers focused on T-cell and B-cell Immunology (20 papers), Immune Cell Function and Interaction (15 papers) and RNA Research and Splicing (15 papers). Uttiya Basu collaborates with scholars based in United States, China and France. Uttiya Basu's co-authors include Frederick W. Alt, Gerson Rothschild, Evangelos Pefanis, Jayanta Chaudhuri, Junghyun Lim, Jiguang Wang, David Kazadi, Raúl Rabadán, Lekha Nair and Jaime Chao and has published in prestigious journals such as Nature, Cell and Proceedings of the National Academy of Sciences.

In The Last Decade

Uttiya Basu

42 papers receiving 2.8k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Uttiya Basu United States 24 1.7k 1.3k 551 280 251 47 2.8k
Almudena R. Ramiro Spain 32 1.8k 1.1× 2.0k 1.5× 637 1.2× 611 2.2× 389 1.5× 65 3.5k
Claudia Bossen United States 14 924 0.6× 1.4k 1.0× 220 0.4× 272 1.0× 102 0.4× 20 2.2k
Michael J. Klemsz United States 24 1.5k 0.9× 1.3k 1.0× 269 0.5× 511 1.8× 135 0.5× 37 2.8k
Niklas Feldhahn United States 21 1.2k 0.7× 642 0.5× 179 0.3× 522 1.9× 211 0.8× 41 2.1k
Nienke van der Stoep Netherlands 24 984 0.6× 891 0.7× 222 0.4× 385 1.4× 93 0.4× 46 1.9k
Alla Berezovskaya United States 20 1.2k 0.7× 1.3k 1.0× 221 0.4× 728 2.6× 236 0.9× 38 2.6k
Jeroen E. J. Guikema Netherlands 23 1.1k 0.7× 990 0.7× 196 0.4× 483 1.7× 220 0.9× 61 2.3k
Sara R. Selitsky United States 21 937 0.6× 470 0.4× 528 1.0× 557 2.0× 136 0.5× 45 1.9k
George Blanck United States 23 1.0k 0.6× 1.5k 1.1× 287 0.5× 1.1k 3.8× 193 0.8× 157 2.7k
Régina de Chasseval France 16 1.5k 0.9× 715 0.5× 317 0.6× 612 2.2× 294 1.2× 17 2.0k

Countries citing papers authored by Uttiya Basu

Since Specialization
Citations

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

Fields of papers citing papers by Uttiya Basu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Uttiya Basu

This figure shows the co-authorship network connecting the top 25 collaborators of Uttiya Basu. A scholar is included among the top collaborators of Uttiya 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 Uttiya Basu. Uttiya 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.
Ichise, Hiroshi, Jiacheng Jin, Christine C. Wu, et al.. (2025). A vasculature-resident innate lymphoid cell population in mouse lungs. Nature Communications. 16(1). 3718–3718.
2.
Basu, Uttiya, et al.. (2024). Somatic hypermutation mechanisms during lymphomagenesis and transformation. Current Opinion in Genetics & Development. 85. 102165–102165. 1 indexed citations
3.
Leeman‐Neill, Rebecca J., Govind Bhagat, & Uttiya Basu. (2024). AID in non-Hodgkin B-cell lymphomas: The consequences of on- and off-target activity. Advances in immunology. 161. 127–164.
4.
Lim, Junghyun, Brice Laffleur, Uttiya Basu, & Kefei Yu. (2022). Identification of RNA–DNA Hybrids Associated with R-Loops at the IgH Switch Sequence in Activated B Cells. Methods in molecular biology. 2528. 55–66.
5.
Sun, Jianbo & Uttiya Basu. (2021). Purification of Murine IL-10 + B Cells for Analyses of Biological Functions and Transcriptomics. Methods in molecular biology. 2270. 307–321. 2 indexed citations
6.
Kazadi, David, Junghyun Lim, Gerson Rothschild, et al.. (2020). Effects of senataxin and RNA exosome on B-cell chromosomal integrity. Heliyon. 6(3). e03442–e03442. 6 indexed citations
7.
Laffleur, Brice & Uttiya Basu. (2019). Biology of RNA Surveillance in Development and Disease. Trends in Cell Biology. 29(5). 428–445. 18 indexed citations
8.
Laffleur, Brice, Uttiya Basu, & Junghyun Lim. (2017). RNA Exosome and Non-coding RNA-Coupled Mechanisms in AID-Mediated Genomic Alterations. Journal of Molecular Biology. 429(21). 3230–3241. 14 indexed citations
9.
Casellas, Rafael, Uttiya Basu, William T. Yewdell, et al.. (2016). Mutations, kataegis and translocations in B cells: understanding AID promiscuous activity. Nature reviews. Immunology. 16(3). 164–176. 131 indexed citations
10.
Pefanis, Evangelos & Uttiya Basu. (2015). RNA Exosome Regulates AID DNA Mutator Activity in the B Cell Genome. Advances in immunology. 127. 257–308. 26 indexed citations
11.
Chao, Jaime, Gerson Rothschild, & Uttiya Basu. (2014). Ubiquitination Events That Regulate Recombination of Immunoglobulin Loci Gene Segments. Frontiers in Immunology. 5. 100–100. 5 indexed citations
12.
Pefanis, Evangelos, Jiguang Wang, Gerson Rothschild, et al.. (2014). Noncoding RNA transcription targets AID to divergently transcribed loci in B cells. Nature. 514(7522). 389–393. 135 indexed citations
13.
Sun, Jianbo, Gerson Rothschild, Evangelos Pefanis, & Uttiya Basu. (2013). Transcriptional stalling in B-lymphocytes. Transcription. 4(3). 127–135. 16 indexed citations
14.
Keim, Celia, David Kazadi, Gerson Rothschild, & Uttiya Basu. (2013). Regulation of AID, the B-cell genome mutator. Genes & Development. 27(1). 1–17. 99 indexed citations
15.
Keim, Celia, et al.. (2011). Recombinant Retroviral Production and Infection of B Cells. Journal of Visualized Experiments. 2 indexed citations
16.
Ise, Wataru, Masako Kohyama, Barbara U. Schraml, et al.. (2011). The transcription factor BATF controls the global regulators of class-switch recombination in both B cells and T cells. Nature Immunology. 12(6). 536–543. 281 indexed citations
17.
Ray, Partha, et al.. (2008). The Saccharomyces cerevisiae 60 S Ribosome Biogenesis Factor Tif6p Is Regulated by Hrr25p-mediated Phosphorylation. Journal of Biological Chemistry. 283(15). 9681–9691. 27 indexed citations
18.
Basu, Uttiya, Jayanta Chaudhuri, Ryan T. Phan, Abhishek Datta, & Frederick W. Alt. (2007). Regulation of Activation Induced Deaminase via Phosphorylation. Advances in experimental medicine and biology. 596. 129–137. 19 indexed citations
19.
Chaudhuri, Jayanta, Uttiya Basu, Ali A. Zarrin, et al.. (2007). Evolution of the Immunoglobulin Heavy Chain Class Switch Recombination Mechanism. Advances in immunology. 94. 157–214. 193 indexed citations
20.
Basu, Uttiya, Jayanta Chaudhuri, Craig Alpert, et al.. (2005). The AID antibody diversification enzyme is regulated by protein kinase A phosphorylation. Nature. 438(7067). 508–511. 207 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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