T. Praveena

524 total citations
10 papers, 245 citations indexed

About

T. Praveena is a scholar working on Immunology, Molecular Biology and Infectious Diseases. According to data from OpenAlex, T. Praveena has authored 10 papers receiving a total of 245 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Immunology, 5 papers in Molecular Biology and 3 papers in Infectious Diseases. Recurrent topics in T. Praveena's work include Immune Cell Function and Interaction (7 papers), T-cell and B-cell Immunology (4 papers) and Tuberculosis Research and Epidemiology (2 papers). T. Praveena is often cited by papers focused on Immune Cell Function and Interaction (7 papers), T-cell and B-cell Immunology (4 papers) and Tuberculosis Research and Epidemiology (2 papers). T. Praveena collaborates with scholars based in Australia, United Kingdom and United States. T. Praveena's co-authors include B. Gopal, Krishan Gopal Thakur, Jérôme Le Nours, Jamie Rossjohn, ChangWon C. Lee, Jesang Lee, Dennis L. Kasper, Sungwhan F. Oh, Da-Jung Jung and Seung Bum Park and has published in prestigious journals such as Nature, Science and Proceedings of the National Academy of Sciences.

In The Last Decade

T. Praveena

10 papers receiving 243 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
T. Praveena Australia 8 119 116 31 23 22 10 245
María José Garzón Spain 7 240 2.0× 56 0.5× 19 0.6× 27 1.2× 28 1.3× 13 343
Fabio A. Facchini Italy 9 96 0.8× 135 1.2× 20 0.6× 12 0.5× 39 1.8× 14 267
Olimpia Longo Italy 7 159 1.3× 51 0.4× 22 0.7× 21 0.9× 25 1.1× 12 249
Elena Valente Italy 12 93 0.8× 110 0.9× 18 0.6× 24 1.0× 29 1.3× 22 409
A Fourie United States 7 297 2.5× 116 1.0× 23 0.7× 22 1.0× 35 1.6× 10 393
Bingtai Lu China 10 62 0.5× 72 0.6× 32 1.0× 14 0.6× 57 2.6× 18 285
Marina Aznaourova Germany 6 147 1.2× 67 0.6× 62 2.0× 18 0.8× 51 2.3× 7 288
Peter A. Lemaire United States 6 266 2.2× 121 1.0× 29 0.9× 13 0.6× 21 1.0× 6 379
Umayal Lakshmanan Singapore 6 227 1.9× 51 0.4× 70 2.3× 35 1.5× 62 2.8× 7 319
Jessica Löffler Germany 10 98 0.8× 36 0.3× 49 1.6× 35 1.5× 49 2.2× 14 259

Countries citing papers authored by T. Praveena

Since Specialization
Citations

This map shows the geographic impact of T. Praveena'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 T. Praveena with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites T. Praveena more than expected).

Fields of papers citing papers by T. Praveena

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of T. Praveena

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

All Works

10 of 10 papers shown
1.
Praveena, T. & Jérôme Le Nours. (2024). State of play in the molecular presentation and recognition of anti-tumor lipid-based analogues. Frontiers in Immunology. 15. 1479382–1479382. 4 indexed citations
2.
Cheng, Tan‐Yun, T. Praveena, Srinath Govindarajan, et al.. (2024). Lipidomic scanning of self-lipids identifies headless antigens for natural killer T cells. Proceedings of the National Academy of Sciences. 121(34). e2321686121–e2321686121. 7 indexed citations
3.
Wegrecki, Marcin, T. Praveena, Lijing Bu, et al.. (2021). The molecular assembly of the marsupial γμ T cell receptor defines a third T cell lineage. Science. 371(6536). 1383–1388. 16 indexed citations
4.
Oh, Sungwhan F., T. Praveena, Da-Jung Jung, et al.. (2021). Host immunomodulatory lipids created by symbionts from dietary amino acids. Nature. 600(7888). 302–307. 79 indexed citations
5.
Almeida, Catarina F., Srinivasan Sundararaj, Jérôme Le Nours, et al.. (2019). Distinct CD1d docking strategies exhibited by diverse Type II NKT cell receptors. Nature Communications. 10(1). 5242–5242. 18 indexed citations
6.
Sundararaj, Srinivasan, Jingjing Zhang, S. Harsha Krovi, et al.. (2018). Differing roles of CD1d2 and CD1d1 proteins in type I natural killer T cell development and function. Proceedings of the National Academy of Sciences. 115(6). E1204–E1213. 23 indexed citations
7.
Nours, Jérôme Le, T. Praveena, Daniel G. Pellicci, et al.. (2016). Atypical natural killer T-cell receptor recognition of CD1d–lipid antigens. Nature Communications. 7(1). 10570–10570. 33 indexed citations
8.
Thakur, Krishan Gopal, et al.. (2010). Over-expression and purification strategies for recombinant multi-protein oligomers: A case study of Mycobacterium tuberculosis σ/anti-σ factor protein complexes. Protein Expression and Purification. 74(2). 223–230. 11 indexed citations
9.
Thakur, Krishan Gopal, T. Praveena, & B. Gopal. (2010). Structural and Biochemical Bases for the Redox Sensitivity of Mycobacterium tuberculosis RslA. Journal of Molecular Biology. 397(5). 1199–1208. 39 indexed citations
10.
Thakur, Krishan Gopal, T. Praveena, & B. Gopal. (2009). Mycobacterium tuberculosis Rv2704 is a member of the YjgF/YER057c/UK114 family. Proteins Structure Function and Bioinformatics. 78(3). 773–778. 15 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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