Tracy Wright

595 total citations
10 papers, 485 citations indexed

About

Tracy Wright is a scholar working on Molecular Biology, Oncology and Cell Biology. According to data from OpenAlex, Tracy Wright has authored 10 papers receiving a total of 485 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 4 papers in Oncology and 2 papers in Cell Biology. Recurrent topics in Tracy Wright's work include Polyamine Metabolism and Applications (3 papers), Amino Acid Enzymes and Metabolism (2 papers) and PI3K/AKT/mTOR signaling in cancer (2 papers). Tracy Wright is often cited by papers focused on Polyamine Metabolism and Applications (3 papers), Amino Acid Enzymes and Metabolism (2 papers) and PI3K/AKT/mTOR signaling in cancer (2 papers). Tracy Wright collaborates with scholars based in United States and China. Tracy Wright's co-authors include Richard Klemke, Jonathan A. Kelber, Ján Strnádel, Ken Fujimura, Michael Bouvet, Sharmeela Kaushal, Andrew M. Lowy, Cristina Metildi, Sunkyu Choi and Kenneth S. Vecchio and has published in prestigious journals such as Journal of Biological Chemistry, Biomaterials and Applied and Environmental Microbiology.

In The Last Decade

Tracy Wright

10 papers receiving 477 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Tracy Wright United States 7 300 148 110 99 65 10 485
Xabier Morales Spain 10 312 1.0× 121 0.8× 101 0.9× 159 1.6× 210 3.2× 17 598
Vivian Alonso‐Goulart Brazil 12 278 0.9× 69 0.5× 25 0.2× 138 1.4× 104 1.6× 26 487
Frederick E. Tan United States 7 288 1.0× 64 0.4× 152 1.4× 62 0.6× 61 0.9× 7 483
Judith Pape United Kingdom 10 155 0.5× 170 1.1× 86 0.8× 137 1.4× 63 1.0× 16 409
Samantha L. George United Kingdom 6 153 0.5× 72 0.5× 127 1.2× 62 0.6× 47 0.7× 7 319
Mike Edward United Kingdom 6 192 0.6× 109 0.7× 102 0.9× 69 0.7× 41 0.6× 6 389
Eric N. Horst United States 9 142 0.5× 253 1.7× 150 1.4× 235 2.4× 73 1.1× 15 495
Zhenjia Wang United States 12 591 2.0× 60 0.4× 55 0.5× 110 1.1× 81 1.2× 26 848
David Sánchez‐Martín Spain 14 283 0.9× 200 1.4× 29 0.3× 78 0.8× 48 0.7× 18 490
Abigail Hielscher United States 8 174 0.6× 120 0.8× 87 0.8× 82 0.8× 111 1.7× 12 399

Countries citing papers authored by Tracy Wright

Since Specialization
Citations

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

Fields of papers citing papers by Tracy Wright

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Tracy Wright. 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 Tracy Wright. The network helps show where Tracy Wright may publish in the future.

Co-authorship network of co-authors of Tracy Wright

This figure shows the co-authorship network connecting the top 25 collaborators of Tracy Wright. A scholar is included among the top collaborators of Tracy Wright 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 Tracy Wright. Tracy Wright 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.
Strnádel, Ján, Sunkyu Choi, Ken Fujimura, et al.. (2017). eIF5A-PEAK1 Signaling Regulates YAP1/TAZ Protein Expression and Pancreatic Cancer Cell Growth. Cancer Research. 77(8). 1997–2007. 68 indexed citations
2.
3.
Fujimura, Ken, Tracy Wright, Ján Strnádel, et al.. (2014). A Hypusine–eIF5A–PEAK1 Switch Regulates the Pathogenesis of Pancreatic Cancer. Cancer Research. 74(22). 6671–6681. 78 indexed citations
4.
Spike, Benjamin T., Jonathan A. Kelber, Madhuri Kalathur, et al.. (2014). CRIPTO/GRP78 Signaling Maintains Fetal and Adult Mammary Stem Cells Ex Vivo. Stem Cell Reports. 2(4). 427–439. 50 indexed citations
5.
Fujimura, Ken, Tracy Wright, Ján Strnádel, et al.. (2014). Abstract LB-303: A hypusine-eIF5A-PEAK1 switch regulates the pathogenesis of pancreatic ductal adenocarcinoma. Cancer Research. 74(19_Supplement). LB–303. 1 indexed citations
6.
Kelber, Jonathan A., Theresa Reno, Sharmeela Kaushal, et al.. (2012). KRas Induces a Src/PEAK1/ErbB2 Kinase Amplification Loop That Drives Metastatic Growth and Therapy Resistance in Pancreatic Cancer. Cancer Research. 72(10). 2554–2564. 92 indexed citations
7.
Soman, Pranav, Jonathan A. Kelber, Jin Woo Lee, et al.. (2012). Cancer cell migration within 3D layer-by-layer microfabricated photocrosslinked PEG scaffolds with tunable stiffness. Biomaterials. 33(29). 7064–7070. 98 indexed citations
8.
Kelber, Jonathan A., Theresa Reno, Sharmeela Kaushal, et al.. (2012). Abstract 4167: KRas induces a Src/PEAK1/ErbB2 kinase amplification loop to drive pancreatic cancer growth, metastasis and therapy resistance. Cancer Research. 72(8_Supplement). 4167–4167. 6 indexed citations
9.
Wright, Tracy, et al.. (2011). Abstract 602: Silencing BRG1 in human cancers. Cancer Research. 71(8_Supplement). 602–602. 3 indexed citations
10.
Brown, Christopher T., Gregory S. Stupp, Tracy Wright, et al.. (2011). Whole-Genome Sequencing and Phenotypic Analysis of Bacillus subtilis Mutants following Evolution under Conditions of Relaxed Selection for Sporulation. Applied and Environmental Microbiology. 77(19). 6867–6877. 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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