Peter T. Vedell

2.0k total citations · 1 hit paper
22 papers, 852 citations indexed

About

Peter T. Vedell is a scholar working on Molecular Biology, Pulmonary and Respiratory Medicine and Cancer Research. According to data from OpenAlex, Peter T. Vedell has authored 22 papers receiving a total of 852 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Molecular Biology, 8 papers in Pulmonary and Respiratory Medicine and 8 papers in Cancer Research. Recurrent topics in Peter T. Vedell's work include Cancer Genomics and Diagnostics (7 papers), Prostate Cancer Treatment and Research (5 papers) and Bioinformatics and Genomic Networks (3 papers). Peter T. Vedell is often cited by papers focused on Cancer Genomics and Diagnostics (7 papers), Prostate Cancer Treatment and Research (5 papers) and Bioinformatics and Genomic Networks (3 papers). Peter T. Vedell collaborates with scholars based in United States, Canada and China. Peter T. Vedell's co-authors include Gary A. Churchill, Katherine D. Blizinsky, Eva E. Redei, Krishna R. Kalari, Karunya K. Kandimalla, Eva M. Carmona Porquera, Sanjana Nair, Jessica Wright, Chenxu Li and Xiaojia Tang and has published in prestigious journals such as Journal of Clinical Oncology, Bioinformatics and Cancer Research.

In The Last Decade

Peter T. Vedell

22 papers receiving 838 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

COVID-19 Transmission, Current Treatment, and Future Therapeutic Strategies

2021 184 citations Jessica Wright, Peter T. Vedell et al. Molecular Pharmaceutics profile →

Peers

Peter T. Vedell

GENET

Lun‐Ching Chang United States

Mario Harvey Canada

Cong Lin China

Emily Farber United States

Т. С. Калинина Russia

Manisha Gupte United States

Sangwon V. Kim United States

Atish Mukherji France

Juuso Juhila Finland

Katherine Meckel United States

Lun‐Ching Chang United States

Peter T. Vedell

674 ×2.0

132 ×1.0

71 ×0.6

129 ×1.2

GENET

47 ×0.4

Citations per year, relative to Peter T. Vedell Peter T. Vedell (= 1×) peers Lun‐Ching Chang

Countries citing papers authored by Peter T. Vedell

Since Specialization

Citations

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

Fields of papers citing papers by Peter T. Vedell

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Peter T. Vedell

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

All Works

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20 of 20 papers shown

Tang, Xiaojia, Kevin J. Thompson, Krishna R. Kalari, et al.. (2023). Integration of multiomics data shows down regulation of mismatch repair and tubulin pathways in triple-negative chemotherapy-resistant breast tumors. Breast Cancer Research. 25(1). 57–57. 2 indexed citations

Sicotte, Hugues, Krishna R. Kalari, Sisi Qin, et al.. (2022). Molecular Profile Changes in Patients with Castrate-Resistant Prostate Cancer Pre- and Post-Abiraterone/Prednisone Treatment. Molecular Cancer Research. 20(12). 1739–1750. 9 indexed citations

Zhuang, Yongxian, Peter T. Vedell, Jia Yu, et al.. (2021). Establishment and characterization of immortalized human breast cancer cell lines from breast cancer patient-derived xenografts (PDX). npj Breast Cancer. 7(1). 79–79. 7 indexed citations

Wright, Jessica, Peter T. Vedell, Sanjana Nair, et al.. (2021). COVID-19 Transmission, Current Treatment, and Future Therapeutic Strategies. Molecular Pharmaceutics. 18(3). 754–771. 184 indexed citations breakdown →

Nair, Asha, Xiaojia Tang, Kevin J. Thompson, et al.. (2020). Frequency of MicroRNA Response Elements Identifies Pathologically Relevant Signaling Pathways in Triple-Negative Breast Cancer. iScience. 23(6). 101249–101249. 4 indexed citations

Kalari, Krishna R., Jason P. Sinnwell, Kevin J. Thompson, et al.. (2018). PANOPLY: Omics-Guided Drug Prioritization Method Tailored to an Individual Patient. JCO Clinical Cancer Informatics. 2(2). 1–11. 11 indexed citations

Qin, Sisi, Duan Liu, Manish Kohli, et al.. (2017). TSPYL Family Regulates CYP17A1 and CYP3A4 Expression: Potential Mechanism Contributing to Abiraterone Response in Metastatic Castration‐Resistant Prostate Cancer. Clinical Pharmacology & Therapeutics. 104(1). 201–210. 29 indexed citations

Kohli, Manish, Liguo Wang, Scott M. Dehm, et al.. (2017). Association of Wnt pathway activation with prechemotherapy abiraterone acetate resistance in metastatic castration-resistant prostate cancer (mCRPC) by genome-wide analysis of metastases.. Journal of Clinical Oncology. 35(6_suppl). 175–175. 1 indexed citations

Hart, Steven N., Marissa S. Ellingson, Peter T. Vedell, et al.. (2016). Determining the frequency of pathogenic germline variants from exome sequencing in patients with castrate-resistant prostate cancer. BMJ Open. 6(4). e010332–e010332. 28 indexed citations

10.

Jang, Jin Sung, Xiaoke Wang, Peter T. Vedell, et al.. (2016). Custom Gene Capture and Next-Generation Sequencing to Resolve Discordant ALK Status by FISH and IHC in Lung Adenocarcinoma. Journal of Thoracic Oncology. 11(11). 1891–1900. 33 indexed citations

11.

Wang, Liguo, Jinfu Nie, Hugues Sicotte, et al.. (2016). Measure transcript integrity using RNA-seq data. BMC Bioinformatics. 17(1). 58–58. 144 indexed citations

12.

Wang, Chen, Jared M. Evans, Aditya Bhagwate, et al.. (2014). PatternCNV: a versatile tool for detecting copy number changes from exome sequencing data. Bioinformatics. 30(18). 2678–2680. 34 indexed citations

13.

Vedell, Peter T., Reid Townsend, Ming You, et al.. (2014). Global molecular changes in rat livers treated with RXR agonists: a comparison using transcriptomics and proteomics. Pharmacology Research & Perspectives. 2(6). 5 indexed citations

14.

Lü, Yan, Ming You, Zara Ghazoui, et al.. (2013). Concordant Effects of Aromatase Inhibitors on Gene Expression in ER+ Rat and Human Mammary Cancers and Modulation of the Proteins Coded by These Genes. Cancer Prevention Research. 6(11). 1151–1161. 10 indexed citations

15.

Vedell, Peter T., Yan Lü, Clinton J. Grubbs, et al.. (2013). Effects on Gene Expression in Rat Liver after Administration of RXR Agonists: UAB30, 4-Methyl-UAB30, and Targretin (Bexarotene). Molecular Pharmacology. 83(3). 698–708. 28 indexed citations

16.

Pajer, Kathleen, William Gardner, John V. Campo, et al.. (2012). Discovery of blood transcriptomic markers for depression in animal models and pilot validation in subjects with early-onset major depression. Translational Psychiatry. 2(4). e101–e101. 79 indexed citations

17.

Pan, Jing, Qi Zhang, Donghai Xiong, et al.. (2012). Transcriptomic analysis by RNA‐seq reveals AP‐1 pathway as key regulator that green tea may rely on to inhibit lung tumorigenesis. Molecular Carcinogenesis. 53(1). 19–29. 15 indexed citations

18.

Xiong, Donghai, Guangming Li, Kezhen Li, et al.. (2012). Exome sequencing identifies MXRA5 as a novel cancer gene frequently mutated in non–small cell lung carcinoma from Chinese patients. Carcinogenesis. 33(9). 1797–1805. 49 indexed citations

19.

Vedell, Peter T., Karen L. Svenson, & Gary A. Churchill. (2011). Stochastic variation of transcript abundance in C57BL/6J mice. BMC Genomics. 12(1). 167–167. 22 indexed citations

20.

Blizinsky, Katherine D., Peter T. Vedell, Pradeep K. Shukla, et al.. (2010). Gene expression patterns in the hippocampus and amygdala of endogenous depression and chronic stress models. Molecular Psychiatry. 17(1). 49–61. 155 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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