Tara M. Love

932 total citations
10 papers, 741 citations indexed

About

Tara M. Love is a scholar working on Molecular Biology, Cancer Research and Oncology. According to data from OpenAlex, Tara M. Love has authored 10 papers receiving a total of 741 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Molecular Biology, 4 papers in Cancer Research and 3 papers in Oncology. Recurrent topics in Tara M. Love's work include Radiomics and Machine Learning in Medical Imaging (3 papers), Virus-based gene therapy research (2 papers) and RNA Interference and Gene Delivery (2 papers). Tara M. Love is often cited by papers focused on Radiomics and Machine Learning in Medical Imaging (3 papers), Virus-based gene therapy research (2 papers) and RNA Interference and Gene Delivery (2 papers). Tara M. Love collaborates with scholars based in United States, Switzerland and Australia. Tara M. Love's co-authors include Carl D. Novina, Michael Certo, Victoria Del Gaizo Moore, Jennifer R. Brown, Anthony Letai, John G. Doench, Bingbing Wang, Matthew E. Call, Howell Moffett and Qing Sheng and has published in prestigious journals such as Journal of Clinical Investigation, SHILAP Revista de lepidopterología and Molecular Cell.

In The Last Decade

Tara M. Love

9 papers receiving 730 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. Love United States 8 547 184 173 167 108 10 741
Heather Bendall United States 8 244 0.4× 118 0.6× 161 0.9× 170 1.0× 182 1.7× 14 628
Anagh A. Sahasrabuddhe United States 16 521 1.0× 128 0.7× 140 0.8× 217 1.3× 224 2.1× 23 926
Shelly Gunn United States 12 445 0.8× 162 0.9× 148 0.9× 298 1.8× 94 0.9× 28 814
Katharina Clodi United States 16 387 0.7× 172 0.9× 105 0.6× 224 1.3× 324 3.0× 19 725
Alexey Efanov United States 11 666 1.2× 493 2.7× 270 1.6× 103 0.6× 275 2.5× 12 1.0k
Valentina Serafin Italy 14 545 1.0× 294 1.6× 47 0.3× 162 1.0× 110 1.0× 28 783
Julia Etchin United States 11 1.2k 2.1× 184 1.0× 74 0.4× 297 1.8× 89 0.8× 18 1.4k
Marjan Geugien Netherlands 10 415 0.8× 128 0.7× 71 0.4× 147 0.9× 66 0.6× 13 605
Jo Ishizawa United States 18 664 1.2× 129 0.7× 89 0.5× 248 1.5× 62 0.6× 65 892
Alberto Risueño United States 12 437 0.8× 262 1.4× 91 0.5× 87 0.5× 72 0.7× 25 678

Countries citing papers authored by Tara M. Love

Since Specialization
Citations

This map shows the geographic impact of Tara M. Love'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. Love 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. Love more than expected).

Fields of papers citing papers by Tara M. Love

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

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

This figure shows the co-authorship network connecting the top 25 collaborators of Tara M. Love. A scholar is included among the top collaborators of Tara M. Love 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. Love. Tara M. Love 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.
Love, Tara M., Lara E. Sucheston‐Campbell, Michael Clark, et al.. (2024). Comparing Classifications from Multiple Variant Annotation Software Solutions Using Real-World Next Generation Sequencing Data from Oncology Testing. SHILAP Revista de lepidopterología. 5(1). 81–95.
2.
Love, Tara M., et al.. (2022). Development and validation of ACTE-MTB: A tool to systematically assess the maturity of molecular tumor boards. PLoS ONE. 17(5). e0268477–e0268477. 3 indexed citations
3.
Baron, Jason M., et al.. (2020). Development of a “meta-model” to address missing data, predict patient-specific cancer survival and provide a foundation for clinical decision support. Journal of the American Medical Informatics Association. 28(3). 605–615. 10 indexed citations
4.
Janas, Maja M., Eric T. Wang, Tara M. Love, et al.. (2012). Reduced Expression of Ribosomal Proteins Relieves MicroRNA-Mediated Repression. Molecular Cell. 46(2). 171–186. 22 indexed citations
5.
Love, Tara M., Howell Moffett, & Carl D. Novina. (2008). Not miR-ly small RNAs: Big potential for microRNAs in therapy. Journal of Allergy and Clinical Immunology. 121(2). 309–319. 51 indexed citations
6.
Moore, Victoria Del Gaizo, Jennifer R. Brown, Michael Certo, et al.. (2007). Chronic lymphocytic leukemia requires BCL2 to sequester prodeath BIM, explaining sensitivity to BCL2 antagonist ABT-737. Journal of Clinical Investigation. 117(1). 112–121. 469 indexed citations
7.
Wang, Bingbing, Tara M. Love, Matthew E. Call, John G. Doench, & Carl D. Novina. (2006). Recapitulation of Short RNA-Directed Translational Gene Silencing In Vitro. Molecular Cell. 22(4). 553–560. 141 indexed citations
8.
Love, Tara M., et al.. (2005). Activation of CREB/ATF Sites by Polyomavirus Large T Antigen. Journal of Virology. 79(7). 4180–4190. 7 indexed citations
9.
Sheng, Qing, Tara M. Love, & Brian Schaffhausen. (2000). J Domain-Independent Regulation of the Rb Family by Polyomavirus Large T Antigen. Journal of Virology. 74(11). 5280–5290. 24 indexed citations
10.
Bertino, Joseph R., Enrico Mini, Alberto Sobrero, et al.. (1985). Methotrexate resistant cells at targets for selective chemotherapy. Advances in Enzyme Regulation. 24. 3–11. 14 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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