Jared J. Barrott

973 total citations
37 papers, 718 citations indexed

About

Jared J. Barrott is a scholar working on Molecular Biology, Pulmonary and Respiratory Medicine and Oncology. According to data from OpenAlex, Jared J. Barrott has authored 37 papers receiving a total of 718 indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Molecular Biology, 14 papers in Pulmonary and Respiratory Medicine and 10 papers in Oncology. Recurrent topics in Jared J. Barrott's work include Sarcoma Diagnosis and Treatment (14 papers), CAR-T cell therapy research (4 papers) and Chromatin Remodeling and Cancer (3 papers). Jared J. Barrott is often cited by papers focused on Sarcoma Diagnosis and Treatment (14 papers), CAR-T cell therapy research (4 papers) and Chromatin Remodeling and Cancer (3 papers). Jared J. Barrott collaborates with scholars based in United States, Italy and Canada. Jared J. Barrott's co-authors include Timothy Haystead, Kevin B. Jones, L. Charles Murtaugh, Aaron P. Smith, Jeffery R. Barrow, Mario R. Capecchi, Huifeng Jin, Tim Mosbruger, Michael J. Monument and Torsten O. Nielsen and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Clinical Investigation and The Journal of Experimental Medicine.

In The Last Decade

Jared J. Barrott

34 papers receiving 715 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jared J. Barrott United States 14 489 206 155 68 68 37 718
Amit J. Sabnis United States 13 562 1.1× 125 0.6× 245 1.6× 72 1.1× 101 1.5× 32 951
Maria J. Sambade United States 14 592 1.2× 146 0.7× 257 1.7× 64 0.9× 47 0.7× 20 828
Florian Bellutti Austria 7 281 0.6× 163 0.8× 196 1.3× 27 0.4× 39 0.6× 13 538
Ashley M. Holder United States 11 541 1.1× 286 1.4× 150 1.0× 139 2.0× 81 1.2× 24 1.0k
Sophie Giusiano France 14 332 0.7× 130 0.6× 174 1.1× 26 0.4× 36 0.5× 36 652
Mohammad Krayem Belgium 16 414 0.8× 80 0.4× 290 1.9× 29 0.4× 145 2.1× 27 716
Debottam Sinha Australia 14 426 0.9× 104 0.5× 296 1.9× 32 0.5× 137 2.0× 28 783
Sahithi Pamarthy United States 19 481 1.0× 153 0.7× 227 1.5× 42 0.6× 121 1.8× 23 830
Pavlova Tv Russia 19 657 1.3× 130 0.6× 216 1.4× 79 1.2× 70 1.0× 47 947
Rebecca A. Dagg Australia 12 707 1.4× 54 0.3× 259 1.7× 58 0.9× 65 1.0× 17 1.0k

Countries citing papers authored by Jared J. Barrott

Since Specialization
Citations

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

Fields of papers citing papers by Jared J. Barrott

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jared J. Barrott. 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 Jared J. Barrott. The network helps show where Jared J. Barrott may publish in the future.

Co-authorship network of co-authors of Jared J. Barrott

This figure shows the co-authorship network connecting the top 25 collaborators of Jared J. Barrott. A scholar is included among the top collaborators of Jared J. Barrott 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 Jared J. Barrott. Jared J. Barrott 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.
Wang, Yanliang, et al.. (2024). Arid1a Loss Enhances Disease Progression in a Murine Model of Osteosarcoma. Cancers. 16(15). 2725–2725. 1 indexed citations
2.
Lai, James C. K., et al.. (2023). Natural Products and Small Molecules Targeting Cellular Ceramide Metabolism to Enhance Apoptosis in Cancer Cells. Cancers. 15(18). 4645–4645. 5 indexed citations
3.
Lazar, Alexander J., et al.. (2023). EWSR1::ATF1 Orchestrates the Clear Cell Sarcoma Transcriptome in Human Tumors and a Mouse Genetic Model. Cancers. 15(24). 5750–5750. 7 indexed citations
4.
Barrott, Jared J., et al.. (2023). The Future of Antibody Drug Conjugation by Comparing Various Methods of Site-Specific Conjugation. Discovery Medicine. 35(179). 921–921. 3 indexed citations
5.
Fatema, Kaniz, et al.. (2022). Navigating the genomic instability mine field of osteosarcoma to better understand implications of non-coding RNAs. Biocell. 46(10). 2177–2193. 3 indexed citations
6.
Kirkham, Matthew, et al.. (2022). Oncostatin M Receptor as a Therapeutic Target for Radioimmune Therapy in Synovial Sarcoma. Pharmaceuticals. 15(6). 650–650. 4 indexed citations
7.
Li, Jinxiu, Jared J. Barrott, Mary L. Nelson, et al.. (2021). A Role for SMARCB1 in Synovial Sarcomagenesis Reveals That SS18–SSX Induces Canonical BAF Destruction. Cancer Discovery. 11(10). 2620–2637. 32 indexed citations
8.
9.
Panza, Emanuele, Krystal Straessler, Jared J. Barrott, et al.. (2021). The clear cell sarcoma functional genomic landscape. Journal of Clinical Investigation. 131(15). 17 indexed citations
10.
Barnes, C. Lowry, et al.. (2020). Rural Community Perceptions and Interests in Pharmacogenomics. Healthcare. 8(2). 159–159. 9 indexed citations
11.
Jones, Kevin B., et al.. (2018). Sarcoma–The standard-bearer in cancer discovery. Critical Reviews in Oncology/Hematology. 126. 1–5. 27 indexed citations
12.
Poulin, Neal, Jared J. Barrott, Alireza Lorzadeh, et al.. (2017). Death by HDAC Inhibition in Synovial Sarcoma Cells. Molecular Cancer Therapeutics. 16(12). 2656–2667. 26 indexed citations
13.
Jin, Huifeng, et al.. (2017). The Impact of Microenvironment on the Synovial Sarcoma Transcriptome. Cancer Microenvironment. 10(1-3). 1–7. 10 indexed citations
14.
Barrott, Jared J., Huifeng Jin, Matthew L. Hedberg, et al.. (2017). Paracrine osteoprotegerin and β-catenin stabilization support synovial sarcomagenesis in periosteal cells. Journal of Clinical Investigation. 128(1). 207–218. 13 indexed citations
15.
Barrott, Jared J., Neal Poulin, Bertha Brodin, et al.. (2017). HDAC and Proteasome Inhibitors Synergize to Activate Pro-Apoptotic Factors in Synovial Sarcoma. PLoS ONE. 12(1). e0169407–e0169407. 28 indexed citations
16.
Jones, Kevin B., Jared J. Barrott, Mingchao Xie, et al.. (2016). The impact of chromosomal translocation locus and fusion oncogene coding sequence in synovial sarcomagenesis. Oncogene. 35(38). 5021–5032. 39 indexed citations
17.
Avilucea, Frank R., Huifeng Jin, Jared J. Barrott, et al.. (2016). LRP5 Signaling in Osteosarcomagenesis: a Cautionary Tale of Translation from Cell Lines to Tumors. Translational Oncology. 9(5). 438–444. 7 indexed citations
18.
Barrott, Jared J., Philip F. Hughes, Takuya Osada, et al.. (2013). Optical and Radioiodinated Tethered Hsp90 Inhibitors Reveal Selective Internalization of Ectopic Hsp90 in Malignant Breast Tumor Cells. Chemistry & Biology. 20(9). 1187–1197. 46 indexed citations
19.
Hughes, Philip F., Jared J. Barrott, David A. Carlson, et al.. (2012). A highly selective Hsp90 affinity chromatography resin with a cleavable linker. Bioorganic & Medicinal Chemistry. 20(10). 3298–3305. 27 indexed citations
20.
Barrow, Jeffery R., et al.. (2010). The Limb Mesenchyme Recruitment Model for Patterning the Vertebrate Limb. Developmental Biology. 344(1). 444–445.

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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