Mukta Deobagkar‐Lele

840 total citations
16 papers, 446 citations indexed

About

Mukta Deobagkar‐Lele is a scholar working on Immunology, Molecular Biology and Oncology. According to data from OpenAlex, Mukta Deobagkar‐Lele has authored 16 papers receiving a total of 446 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Immunology, 6 papers in Molecular Biology and 2 papers in Oncology. Recurrent topics in Mukta Deobagkar‐Lele's work include Immune Cell Function and Interaction (5 papers), Immune Response and Inflammation (4 papers) and T-cell and B-cell Immunology (4 papers). Mukta Deobagkar‐Lele is often cited by papers focused on Immune Cell Function and Interaction (5 papers), Immune Response and Inflammation (4 papers) and T-cell and B-cell Immunology (4 papers). Mukta Deobagkar‐Lele collaborates with scholars based in India, United Kingdom and United States. Mukta Deobagkar‐Lele's co-authors include Dipankar Nandi, Consuelo Anzilotti, Richard J. Cornall, Emmanuel Stephen‐Victor, Benedikt M. Kessler, Sarah Bonham, Catherine Green, Daniela Moralli, Catarina Oliveira and Román Fischer and has published in prestigious journals such as Nature, Proceedings of the National Academy of Sciences and Nature Immunology.

In The Last Decade

Mukta Deobagkar‐Lele

15 papers receiving 444 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Mukta Deobagkar‐Lele India	11	276	128	113	33	33	16	446
Cheree Fitzgibbon Australia	12	527 1.9×	101 0.8×	228 2.0×	66 2.0×	14 0.4×	18	598
Martina Maurer Switzerland	11	261 0.9×	121 0.9×	85 0.8×	28 0.8×	5 0.2×	19	508
William P. Bozza United States	12	264 1.0×	98 0.8×	98 0.9×	30 0.9×	12 0.4×	15	441
Charles-Hugues Lardeau Austria	8	199 0.7×	70 0.5×	46 0.4×	48 1.5×	25 0.8×	9	344
Leslie A. Rivera Rosado United States	9	308 1.1×	106 0.8×	127 1.1×	42 1.3×	6 0.2×	12	438
Rahul Pandey United States	13	112 0.4×	84 0.7×	353 3.1×	88 2.7×	11 0.3×	20	686
René Köffel Switzerland	13	362 1.3×	44 0.3×	191 1.7×	46 1.4×	4 0.1×	19	626
Martin Fitzpatrick United Kingdom	12	267 1.0×	95 0.7×	51 0.5×	54 1.6×	5 0.2×	19	510
Xiaofang Xiong United States	11	191 0.7×	97 0.8×	150 1.3×	42 1.3×	4 0.1×	27	408
Mehdi Moustaqil Australia	8	167 0.6×	47 0.4×	95 0.8×	15 0.5×	7 0.2×	13	378

Countries citing papers authored by Mukta Deobagkar‐Lele

Since Specialization

Citations

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

Fields of papers citing papers by Mukta Deobagkar‐Lele

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Mukta Deobagkar‐Lele. 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 Mukta Deobagkar‐Lele. The network helps show where Mukta Deobagkar‐Lele may publish in the future.

Co-authorship network of co-authors of Mukta Deobagkar‐Lele

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

All Works

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16 of 16 papers shown

Deobagkar‐Lele, Mukta, et al.. (2024). B cells require DOCK8 to elicit and integrate T cell help when antigen is limiting. Science Immunology. 9(98). eadd4874–eadd4874.

Crockford, Tanya L., Lucie Abeler‐Dörner, Adam Laing, et al.. (2023). Prolidase Deficiency Causes Spontaneous T Cell Activation and Lupus-like Autoimmunity. The Journal of Immunology. 210(5). 547–557. 5 indexed citations

Anzilotti, Consuelo, Mukta Deobagkar‐Lele, Tanya L. Crockford, et al.. (2022). NDRG1 is induced by antigen-receptor signaling but dispensable for B and T cell self-tolerance. Communications Biology. 5(1). 1216–1216. 4 indexed citations

Deobagkar‐Lele, Mukta, Katherine R. Bull, Tanya L. Crockford, et al.. (2020). An ontogenetic switch drives the positive and negative selection of B cells. Proceedings of the National Academy of Sciences. 117(7). 3718–3727. 21 indexed citations

Oliveira, Catarina, Jordan R. Becker, Daniela Moralli, et al.. (2018). 53BP1 cooperation with the REV7–shieldin complex underpins DNA structure-specific NHEJ. Nature. 560(7716). 122–127. 215 indexed citations

Majumdar, Shamik, et al.. (2017). Differential susceptibility and maturation of thymocyte subsets during Salmonella Typhimurium infection: insights on the roles of glucocorticoids and Interferon-gamma. Scientific Reports. 7(1). 40793–40793. 22 indexed citations

Deobagkar‐Lele, Mukta, Seeyoung Choi, Shoji Uehara, et al.. (2016). Themis2 lowers the threshold for B cell activation during positive selection. Nature Immunology. 18(2). 205–213. 22 indexed citations

Siggs, Owen M., Alexander Stockenhuber, Mukta Deobagkar‐Lele, et al.. (2016). Mutation of Fnip1 is associated with B-cell deficiency, cardiomyopathy, and elevated AMPK activity. Proceedings of the National Academy of Sciences. 113(26). E3706–15. 33 indexed citations

Chandrasekar, Bhagawat, Shikha Yadav, Emmanuel Stephen‐Victor, et al.. (2015). Interferon-Gamma and Nitric Oxide Synthase 2 Mediate the Aggregation of Resident Adherent Peritoneal Exudate Cells: Implications for the Host Response to Pathogens. PLoS ONE. 10(6). e0128301–e0128301. 13 indexed citations

10.

Gautam, Rekha, Mukta Deobagkar‐Lele, Shamik Majumdar, et al.. (2015). Molecular profiling of sepsis in mice using Fourier Transform Infrared Microspectroscopy. Journal of Biophotonics. 9(1-2). 67–82. 18 indexed citations

11.

Chandrasekar, Bhagawat, Mukta Deobagkar‐Lele, Emmanuel Stephen‐Victor, & Dipankar Nandi. (2013). Regulation of Chemokines, CCL3 and CCL4, by Interferon γ and Nitric Oxide Synthase 2 in Mouse Macrophages and During Salmonella enterica Serovar Typhimurium Infection. The Journal of Infectious Diseases. 207(10). 1556–1568. 18 indexed citations

12.

Deobagkar‐Lele, Mukta, Emmanuel Stephen‐Victor, & Dipankar Nandi. (2013). c‐Jun NH₂‐terminal kinase is a critical node in the death of CD4⁺CD8⁺ thymocytes during Salmonella enterica serovar Typhimurium infection. European Journal of Immunology. 44(1). 137–149. 12 indexed citations

13.

Gautam, Rekha, Bhagawat Chandrasekar, Mukta Deobagkar‐Lele, et al.. (2012). Identification of Early Biomarkers during Acetaminophen-Induced Hepatotoxicity by Fourier Transform Infrared Microspectroscopy. PLoS ONE. 7(9). e45521–e45521. 25 indexed citations

14.

Deobagkar‐Lele, Mukta, et al.. (2012). Innate immunity and the 2011 Nobel Prize. Resonance. 17(10). 974–995. 1 indexed citations

15.

Deobagkar‐Lele, Mukta, et al.. (2012). Interferon‐γ‐ and glucocorticoid‐mediated pathways synergize to enhance death of CD4⁺ CD8⁺ thymocytes during Salmonella enterica serovar Typhimurium infection. Immunology. 138(4). 307–321. 33 indexed citations

16.

Ahmed, Asma, et al.. (2010). Rapid burst of H2O2 by plant growth regulators increases intracellular Ca2+ amounts and modulates CD4+ T cell activation. International Immunopharmacology. 10(11). 1397–1405. 4 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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