Thomas T. Murooka

2.4k total citations
43 papers, 1.7k citations indexed

About

Thomas T. Murooka is a scholar working on Immunology, Virology and Epidemiology. According to data from OpenAlex, Thomas T. Murooka has authored 43 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Immunology, 22 papers in Virology and 11 papers in Epidemiology. Recurrent topics in Thomas T. Murooka's work include HIV Research and Treatment (17 papers), Immune Cell Function and Interaction (15 papers) and T-cell and B-cell Immunology (10 papers). Thomas T. Murooka is often cited by papers focused on HIV Research and Treatment (17 papers), Immune Cell Function and Interaction (15 papers) and T-cell and B-cell Immunology (10 papers). Thomas T. Murooka collaborates with scholars based in Canada, United States and Germany. Thomas T. Murooka's co-authors include Thorsten R. Mempel, Andrew D. Luster, Eleanor N. Fish, Ramtin Rahbar, Ulrich H. von Andrian, Francesco Marangoni, Maud Déruaz, Vladimir Vrbanac, Andrew M. Tager and Joanna R. Groom and has published in prestigious journals such as Nature, Science and Proceedings of the National Academy of Sciences.

In The Last Decade

Thomas T. Murooka

42 papers receiving 1.7k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Thomas T. Murooka Canada 19 1.1k 451 398 323 235 43 1.7k
David Camerini United States 23 939 0.9× 598 1.3× 546 1.4× 382 1.2× 264 1.1× 43 2.1k
Sylvie Garcia France 23 1.7k 1.6× 570 1.3× 573 1.4× 236 0.7× 389 1.7× 40 2.4k
Michael W. Melkus United States 16 637 0.6× 382 0.8× 272 0.7× 302 0.9× 191 0.8× 31 1.5k
Robbie B. Mailliard United States 26 2.0k 1.9× 305 0.7× 583 1.5× 695 2.2× 223 0.9× 67 2.6k
Cinzia Giagulli Italy 21 810 0.8× 310 0.7× 433 1.1× 443 1.4× 178 0.8× 51 1.8k
William C. Adams United States 19 1.2k 1.2× 400 0.9× 244 0.6× 373 1.2× 336 1.4× 26 1.7k
Kenia de los Santos United States 11 1.3k 1.2× 204 0.5× 478 1.2× 221 0.7× 193 0.8× 11 1.9k
Christian Knabenhans Switzerland 7 1.0k 1.0× 676 1.5× 476 1.2× 236 0.7× 341 1.5× 10 1.9k
Angela Wahl United States 20 787 0.7× 845 1.9× 590 1.5× 251 0.8× 304 1.3× 38 2.0k
Nathalie Signoret United Kingdom 19 1.1k 1.0× 580 1.3× 595 1.5× 763 2.4× 165 0.7× 37 1.8k

Countries citing papers authored by Thomas T. Murooka

Since Specialization
Citations

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

Fields of papers citing papers by Thomas T. Murooka

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Thomas T. Murooka

This figure shows the co-authorship network connecting the top 25 collaborators of Thomas T. Murooka. A scholar is included among the top collaborators of Thomas T. Murooka 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 Thomas T. Murooka. Thomas T. Murooka 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.
Gagliardi, Paolo Armando, Miguel Palomino‐Segura, Alessandro Giusti, et al.. (2024). Transformer-based spatial–temporal detection of apoptotic cell death in live-cell imaging. eLife. 12. 2 indexed citations
2.
3.
Atkins, Hannah, Debra A. Shearer, Sarah A. Brendle, et al.. (2024). Monitoring mouse papillomavirus-associated cancer development using longitudinal Pap smear screening. mBio. 15(8). e0142024–e0142024. 1 indexed citations
4.
Gagliardi, Paolo Armando, Miguel Palomino‐Segura, Alessandro Giusti, et al.. (2023). Transformer-based spatial–temporal detection of apoptotic cell death in live-cell imaging. eLife. 12. 3 indexed citations
5.
Pagliuzza, Amélie, et al.. (2022). T cell migration potentiates HIV infection by enhancing viral fusion and integration. Cell Reports. 38(8). 110406–110406. 7 indexed citations
6.
Lodge, Robert, Tram N. Q. Pham, Jaspreet Jain, et al.. (2022). MiRNA-103 downmodulates CCR5 expression reducing human immunodeficiency virus type-1 entry and impacting latency establishment in CD4+ T cells. iScience. 25(10). 105234–105234. 9 indexed citations
7.
Brendle, Sarah A., Nancy M. Cladel, Debra A. Shearer, et al.. (2021). Mouse Papillomavirus L1 and L2 Are Dispensable for Viral Infection and Persistence at Both Cutaneous and Mucosal Tissues. Viruses. 13(9). 1824–1824. 6 indexed citations
8.
Koh, Wan Hon, et al.. (2020). Visualizing Cellular Dynamics and Protein Localization in 3D Collagen. STAR Protocols. 1(3). 100203–100203. 5 indexed citations
9.
Koh, Wan Hon, et al.. (2020). HIV-Captured DCs Regulate T Cell Migration and Cell-Cell Contact Dynamics to Enhance Viral Spread. iScience. 23(8). 101427–101427. 11 indexed citations
10.
Farsakoglu, Yagmur, Miguel Palomino‐Segura, Jordi Sintes, et al.. (2018). Leukocyte Tracking Database, a collection of immune cell tracks from intravital 2-photon microscopy videos. Scientific Data. 5(1). 180129–180129. 17 indexed citations
11.
Déruaz, Maud, Thomas T. Murooka, Marc A. Gavin, et al.. (2017). Chemoattractant-mediated leukocyte trafficking enables HIV dissemination from the genital mucosa. JCI Insight. 2(7). e88533–e88533. 15 indexed citations
12.
Murooka, Thomas T., Radwa Sharaf, & Thorsten R. Mempel. (2015). Large Syncytia in Lymph Nodes Induced by CCR5-Tropic HIV-1. AIDS Research and Human Retroviruses. 31(5). 471–472. 7 indexed citations
13.
Sharaf, Radwa, Thorsten R. Mempel, & Thomas T. Murooka. (2015). Visualizing the Behavior of HIV-Infected T Cells In Vivo Using Multiphoton Intravital Microscopy. Methods in molecular biology. 1354. 189–201. 7 indexed citations
14.
Murooka, Thomas T. & Thorsten R. Mempel. (2013). Intravital Microscopy in BLT-Humanized Mice to Study Cellular Dynamics in HIV Infection. The Journal of Infectious Diseases. 208(suppl_2). S137–S144. 13 indexed citations
15.
Marangoni, Francesco, Thomas T. Murooka, Teresa Manzo, et al.. (2013). The Transcription Factor NFAT Exhibits Signal Memory during Serial T Cell Interactions with Antigen-Presenting Cells. Immunity. 38(2). 237–249. 119 indexed citations
16.
Rahbar, Ramtin, et al.. (2012). Glomulin: A Permissivity Factor for Vaccinia Virus Infection. Journal of Interferon & Cytokine Research. 32(3). 127–137. 2 indexed citations
17.
Groom, Joanna R., Jillian M. Richmond, Thomas T. Murooka, et al.. (2012). CXCR3 Chemokine Receptor-Ligand Interactions in the Lymph Node Optimize CD4+ T Helper 1 Cell Differentiation. Immunity. 37(6). 1091–1103. 324 indexed citations
18.
Murooka, Thomas T., Ramtin Rahbar, Leonidas C. Platanias, & Eleanor N. Fish. (2008). CCL5-mediated T-cell chemotaxis involves the initiation of mRNA translation through mTOR/4E-BP1. Blood. 111(10). 4892–4901. 83 indexed citations
19.
Rahbar, Ramtin, Thomas T. Murooka, & Eleanor N. Fish. (2008). Role for CCR5 in Dissemination of Vaccinia Virus In Vivo. Journal of Virology. 83(5). 2226–2236. 13 indexed citations
20.
Rahbar, Ramtin, Thomas T. Murooka, Carole L. Galligan, et al.. (2006). Vaccinia Virus Activation of CCR5 Invokes Tyrosine Phosphorylation Signaling Events That Support Virus Replication. Journal of Virology. 80(14). 7245–7259. 27 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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