Gary Wildey

2.2k total citations
53 papers, 1.8k citations indexed

About

Gary Wildey is a scholar working on Oncology, Molecular Biology and Epidemiology. According to data from OpenAlex, Gary Wildey has authored 53 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 29 papers in Oncology, 28 papers in Molecular Biology and 11 papers in Epidemiology. Recurrent topics in Gary Wildey's work include Lung Cancer Research Studies (17 papers), Neuroendocrine Tumor Research Advances (9 papers) and Cell death mechanisms and regulation (6 papers). Gary Wildey is often cited by papers focused on Lung Cancer Research Studies (17 papers), Neuroendocrine Tumor Research Advances (9 papers) and Cell death mechanisms and regulation (6 papers). Gary Wildey collaborates with scholars based in United States, Germany and Canada. Gary Wildey's co-authors include Philip H. Howe, Afshin Dowlati, Cahir A. McDevitt, Xiaojun Qi, Rochelle Cutrone, Michael Yang, Adam Kresak, Supriya Patil, Pingfu Fu and Karen McColl and has published in prestigious journals such as Journal of Biological Chemistry, Journal of Clinical Oncology and Journal of Neuroscience.

In The Last Decade

Gary Wildey

53 papers receiving 1.7k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Gary Wildey United States 22 932 621 307 281 233 53 1.8k
Ziqiang Yuan United States 23 970 1.0× 392 0.6× 137 0.4× 177 0.6× 119 0.5× 44 1.5k
Mutsushi Matsuyama Japan 20 872 0.9× 371 0.6× 248 0.8× 298 1.1× 144 0.6× 97 2.1k
Weiquan Zhu China 20 889 1.0× 201 0.3× 215 0.7× 254 0.9× 159 0.7× 42 2.1k
Shu‐Ching Hsu Taiwan 18 792 0.8× 370 0.6× 244 0.8× 394 1.4× 106 0.5× 35 2.0k
Kati Elima Finland 28 884 0.9× 538 0.9× 156 0.5× 195 0.7× 127 0.5× 53 2.3k
Michael J. Flister United States 22 758 0.8× 599 1.0× 77 0.3× 186 0.7× 161 0.7× 53 1.6k
Vasiliki Gkretsi Cyprus 24 722 0.8× 498 0.8× 130 0.4× 224 0.8× 133 0.6× 57 1.9k
Alexandra Le Bras Singapore 25 1.8k 2.0× 497 0.8× 105 0.3× 239 0.9× 183 0.8× 136 2.5k
Elias Shezen Israel 26 904 1.0× 396 0.6× 123 0.4× 429 1.5× 165 0.7× 60 2.3k
Satyajit Karnik United States 12 844 0.9× 251 0.4× 351 1.1× 713 2.5× 312 1.3× 15 2.0k

Countries citing papers authored by Gary Wildey

Since Specialization
Citations

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

Fields of papers citing papers by Gary Wildey

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Gary Wildey

This figure shows the co-authorship network connecting the top 25 collaborators of Gary Wildey. A scholar is included among the top collaborators of Gary Wildey 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 Gary Wildey. Gary Wildey 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, Han, Ali Reza Rezvani, Karen McColl, et al.. (2025). Assessment of targets of antibody drug conjugates in SCLC. npj Precision Oncology. 9(1). 1–1. 12 indexed citations
2.
McColl, Karen, Gary Wildey, Peronne Joseph, et al.. (2024). Identification of HEPACAM2 as a novel and specific marker of small cell carcinoma. Cancer. 131(1). e35557–e35557. 1 indexed citations
3.
Wildey, Gary, Karen McColl, Mohammad A. Shatat, et al.. (2022). Retinoblastoma Expression and Targeting by CDK4/6 Inhibitors in Small Cell Lung Cancer. Molecular Cancer Therapeutics. 22(2). 264–273. 18 indexed citations
4.
Tian, He, Gary Wildey, Karen McColl, et al.. (2020). Identification of RUNX1T1 as a potential epigenetic modifier in small‐cell lung cancer. Molecular Oncology. 15(1). 195–209. 7 indexed citations
5.
6.
Dowlati, Afshin, Mary Beth Lipka, Karen McColl, et al.. (2016). Clinical correlation of extensive-stage small-cell lung cancer genomics. Annals of Oncology. 27(4). 642–647. 69 indexed citations
7.
Augert, Arnaud, ZhongXiang Zhang, Breanna M. Bates, et al.. (2016). Small Cell Lung Cancer Exhibits Frequent Inactivating Mutations in the Histone Methyltransferase KMT2D/MLL2 : CALGB 151111 (Alliance). Journal of Thoracic Oncology. 12(4). 704–713. 73 indexed citations
8.
Greenberg, Edward F., Karen McColl, Fei Zhong, et al.. (2015). Synergistic killing of human small cell lung cancer cells by the Bcl-2-inositol 1,4,5-trisphosphate receptor disruptor BIRD-2 and the BH3-mimetic ABT-263. Cell Death and Disease. 6(12). e2034–e2034. 46 indexed citations
9.
Babakoohi, Shahab, Amy Kluge, James J. Morrow, et al.. (2014). RET Mutation and Expression in Small-Cell Lung Cancer. Journal of Thoracic Oncology. 9(9). 1316–1323. 38 indexed citations
10.
Wildey, Gary & Philip H. Howe. (2009). Runx1 Is a Co-activator with FOXO3 to Mediate Transforming Growth Factor β (TGFβ)-induced Bim Transcription in Hepatic Cells. Journal of Biological Chemistry. 284(30). 20227–20239. 42 indexed citations
11.
Jiang, Guo‐Ping, Horng-Ren Yang, Lianfu Wang, et al.. (2008). Hepatic Stellate Cells Preferentially Expand Allogeneic CD4+CD25+FoxP3+ Regulatory T Cells in an IL-2-Dependent Manner. Transplantation. 86(11). 1492–1502. 81 indexed citations
12.
Qi, Xiaojun, Gary Wildey, & Philip H. Howe. (2005). Evidence That Ser87 of BimEL Is Phosphorylated by Akt and Regulates BimEL Apoptotic Function. Journal of Biological Chemistry. 281(2). 813–823. 189 indexed citations
13.
McDevitt, Cahir A., Gary Wildey, & Rochelle Cutrone. (2003). Transforming growth factor‐β1 in a sterilized tissue derived from the pig small intestine submucosa. Journal of Biomedical Materials Research Part A. 67A(2). 637–640. 192 indexed citations
14.
Wildey, Gary, Supriya Patil, & Philip H. Howe. (2003). Smad3 Potentiates Transforming Growth Factor β (TGFβ)-induced Apoptosis and Expression of the BH3-only Protein Bim in WEHI 231 B Lymphocytes. Journal of Biological Chemistry. 278(20). 18069–18077. 88 indexed citations
15.
16.
Wildey, Gary & Cahir A. McDevitt. (1998). Matrix Protein mRNA Levels in Canine Meniscus Cellsin Vitro. Archives of Biochemistry and Biophysics. 353(1). 10–15. 21 indexed citations
17.
Wildey, Gary, et al.. (1993). Isolation of cDNA Clones and Tissue Expression of Rat Ral A and Ral B GTP-Binding Proteins. Biochemical and Biophysical Research Communications. 194(1). 552–559. 15 indexed citations
18.
Wildey, Gary, et al.. (1993). Detection of Low Molecular Weight GTP-binding Proteins Associated with Rat Atrial Secretory Granules. Journal of Molecular and Cellular Cardiology. 25(4). 459–468. 4 indexed citations
19.
Haugaard, Niels, et al.. (1990). Stimulation of the phosphorylation of uridine in skeletal muscle by insulin and vanadate. Molecular and Cellular Biochemistry. 93(1). 13–9. 5 indexed citations
20.
Fischman, Alan J., Gary Wildey, Gary R. Matsueda, et al.. (1988). Specificity of serine proteases for cleavage sites on proatrial natriuretic factor. Peptides. 9(6). 1275–1283. 5 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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