Tara M. Young

504 total citations
10 papers, 350 citations indexed

About

Tara M. Young is a scholar working on Molecular Biology, Virology and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Tara M. Young has authored 10 papers receiving a total of 350 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 4 papers in Virology and 3 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Tara M. Young's work include HIV Research and Treatment (4 papers), RNA modifications and cancer (3 papers) and Monoclonal and Polyclonal Antibodies Research (3 papers). Tara M. Young is often cited by papers focused on HIV Research and Treatment (4 papers), RNA modifications and cancer (3 papers) and Monoclonal and Polyclonal Antibodies Research (3 papers). Tara M. Young collaborates with scholars based in United States and Singapore. Tara M. Young's co-authors include Michael B. Mathews, Tsafi Pe’ery, Gavin Thurston, Qi Wang, Christopher Daly, Ginette Serrero, Mainul Hoque, Carla Castanaro, Y. Ramanathan and Hang Song and has published in prestigious journals such as PLoS ONE, Journal of Molecular Biology and Molecular and Cellular Biology.

In The Last Decade

Tara M. Young

10 papers receiving 346 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Tara M. Young United States 9 215 94 62 58 55 10 350
Corinne Besnard‐Guérin France 8 194 0.9× 51 0.5× 36 0.6× 52 0.9× 29 0.5× 10 296
Mason Lu United States 7 290 1.3× 66 0.7× 125 2.0× 40 0.7× 55 1.0× 8 425
Samantha Ross United States 7 244 1.1× 37 0.4× 107 1.7× 52 0.9× 30 0.5× 8 430
Nanping Ai China 8 231 1.1× 29 0.3× 58 0.9× 70 1.2× 15 0.3× 12 334
Emily N. Pawlak Canada 8 137 0.6× 32 0.3× 118 1.9× 100 1.7× 47 0.9× 11 340
Lai Xu United States 11 148 0.7× 84 0.9× 204 3.3× 26 0.4× 18 0.3× 13 386
Karine Boulay Canada 8 437 2.0× 36 0.4× 41 0.7× 61 1.1× 25 0.5× 9 549
Susumu Kagawa Japan 7 325 1.5× 138 1.5× 174 2.8× 55 0.9× 72 1.3× 11 471
Pirita Pekkonen Finland 7 124 0.6× 192 2.0× 63 1.0× 9 0.2× 64 1.2× 8 330
Nene N. Kalu United States 9 160 0.7× 198 2.1× 19 0.3× 12 0.2× 110 2.0× 14 312

Countries citing papers authored by Tara M. Young

Since Specialization
Citations

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

Fields of papers citing papers by Tara M. Young

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Tara M. Young. 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 Tara M. Young. The network helps show where Tara M. Young may publish in the future.

Co-authorship network of co-authors of Tara M. Young

This figure shows the co-authorship network connecting the top 25 collaborators of Tara M. Young. A scholar is included among the top collaborators of Tara M. Young 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 Tara M. Young. Tara M. Young 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.
Bay, Andrés E. Perez, John O. DaSilva, Tara M. Young, et al.. (2023). A Bispecific METxMET Antibody–Drug Conjugate with Cleavable Linker Is Processed in Recycling and Late Endosomes. Molecular Cancer Therapeutics. 22(3). 357–370. 16 indexed citations
2.
Young, Tara M., Claudia Reyes, Elizabeth Pasnikowski, et al.. (2020). Autophagy protects tumors from T cell–mediated cytotoxicity via inhibition of TNFα-induced apoptosis. Science Immunology. 5(54). 79 indexed citations
3.
Young, Tara M., Elizabeth Pasnikowski, Hang Song, et al.. (2019). Genome-scale CRISPR activation screen uncovers tumor-intrinsic modulators of CD3 bispecific antibody efficacy. Scientific Reports. 9(1). 20068–20068. 17 indexed citations
4.
Daly, Christopher, Carla Castanaro, Min Ni, et al.. (2016). FGFR3-TACC3 fusion proteins act as naturally occurring drivers of tumor resistance by functionally substituting for EGFR/ERK signaling. Oncogene. 36(4). 471–481. 48 indexed citations
5.
Liu, Jaron, et al.. (2008). The 3′UTR of HIC mRNA improves the production of recombinant proteins in Chinese hamster ovary cells. Journal of Biotechnology. 139(2). 152–155. 2 indexed citations
6.
Young, Tara M., Michael Y. Tsai, Bin Tian, Michael B. Mathews, & Tsafi Pe’ery. (2007). Cellular mRNA Activates Transcription Elongation by Displacing 7SK RNA. PLoS ONE. 2(10). e1010–e1010. 14 indexed citations
7.
Wang, Qi, Tara M. Young, Michael B. Mathews, & Tsafi Pe’ery. (2007). Developmental Regulators Containing the I-mfa Domain Interact with T cyclins and Tat and Modulate Transcription. Journal of Molecular Biology. 367(3). 630–646. 17 indexed citations
8.
Young, Tara M., Qi Wang, Tsafi Pe’ery, & Michael B. Mathews. (2003). The Human I-mfa Domain-Containing Protein, HIC, Interacts with Cyclin T1 and Modulates P-TEFb-Dependent Transcription. Molecular and Cellular Biology. 23(18). 6373–6384. 38 indexed citations
9.
Hoque, Mainul, et al.. (2003). The Growth Factor Granulin Interacts with Cyclin T1 and Modulates P-TEFb-Dependent Transcription. Molecular and Cellular Biology. 23(5). 1688–1702. 68 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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