Garret M. Hampton

11.8k total citations · 4 hit papers
93 papers, 9.1k citations indexed

About

Garret M. Hampton is a scholar working on Molecular Biology, Cancer Research and Oncology. According to data from OpenAlex, Garret M. Hampton has authored 93 papers receiving a total of 9.1k indexed citations (citations by other indexed papers that have themselves been cited), including 59 papers in Molecular Biology, 34 papers in Cancer Research and 29 papers in Oncology. Recurrent topics in Garret M. Hampton's work include Cancer Genomics and Diagnostics (18 papers), Gene expression and cancer classification (13 papers) and RNA modifications and cancer (13 papers). Garret M. Hampton is often cited by papers focused on Cancer Genomics and Diagnostics (18 papers), Gene expression and cancer classification (13 papers) and RNA modifications and cancer (13 papers). Garret M. Hampton collaborates with scholars based in United States, United Kingdom and China. Garret M. Hampton's co-authors include Henry F. Frierson, Lisa M. Sapinoso, S Kern, Christopher A. Moskaluk, Peter G. Schultz, Andrew I. Su, Dan Theodorescu, Steven M. Powell, Mary T. Galgano and John Welsh and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Communications and Nature Genetics.

In The Last Decade

Garret M. Hampton

93 papers receiving 8.8k citations

Hit Papers

Large-scale analysis of t... 2001 2026 2009 2017 2002 2002 2001 2001 400 800 1.2k
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.

  1. Large-scale analysis of the human and mouse transcriptomes
    2002 1.2k citations Keith A. Ching, Lisa M. Sapinoso et al. profile →
  2. c-Myc Can Induce DNA Damage, Increase Reactive Oxygen Species, and Mitigate p53 Function
    2002 720 citations Garret M. Hampton et al. profile →
  3. Analysis of gene expression profiles in normal and neoplastic ovarian tissue samples identifies candidate molecular markers of epithelial ovarian cancer
    2001 546 citations Lisa M. Sapinoso, Garret M. Hampton et al. profile →
  4. Molecular classification of human carcinomas by use of gene expression signatures.
    2001 506 citations Lisa M. Sapinoso, Peter G. Schultz et al. PubMed profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Garret M. Hampton United States 45 5.6k 2.6k 1.9k 1.2k 975 93 9.1k
Toyomasa Katagiri Japan 56 6.1k 1.1× 2.3k 0.9× 1.6k 0.9× 1.3k 1.0× 1.1k 1.1× 166 9.1k
Leslie Cope United States 41 6.7k 1.2× 1.9k 0.7× 2.4k 1.3× 1.2k 1.0× 1.1k 1.1× 132 10.3k
Anne‐Marie Mes‐Masson Canada 50 4.4k 0.8× 2.7k 1.1× 1.9k 1.0× 1.2k 1.0× 975 1.0× 272 9.1k
Shikha Bose United States 43 6.3k 1.1× 2.6k 1.0× 2.1k 1.1× 1.1k 0.9× 1.1k 1.1× 109 10.2k
David E. Misek United States 53 7.1k 1.3× 2.0k 0.8× 2.0k 1.0× 1.0k 0.8× 644 0.7× 95 11.1k
Stephen W. Byers United States 47 5.2k 0.9× 1.9k 0.7× 1.3k 0.7× 634 0.5× 1.1k 1.1× 138 8.3k
Shridar Ganesan United States 52 7.8k 1.4× 3.5k 1.4× 3.1k 1.6× 1.4k 1.1× 1.6k 1.7× 204 12.7k
José Palacios Spain 57 5.1k 0.9× 3.6k 1.4× 3.4k 1.8× 1.2k 0.9× 1.4k 1.5× 204 10.4k
Rork Kuick United States 56 7.8k 1.4× 2.4k 0.9× 3.4k 1.8× 1.2k 1.0× 1.4k 1.4× 156 13.0k
Sampsa Hautaniemi Finland 49 4.9k 0.9× 1.5k 0.6× 1.6k 0.8× 777 0.6× 1.1k 1.1× 186 7.6k

Countries citing papers authored by Garret M. Hampton

Since Specialization
Citations

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

Fields of papers citing papers by Garret M. Hampton

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Garret M. Hampton

This figure shows the co-authorship network connecting the top 25 collaborators of Garret M. Hampton. A scholar is included among the top collaborators of Garret M. Hampton 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 Garret M. Hampton. Garret M. Hampton 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.
Nakanishi, Yoshito, Kimberly Walter, Jill M. Spoerke, et al.. (2016). Activating Mutations in PIK3CB Confer Resistance to PI3K Inhibition and Define a Novel Oncogenic Role for p110β. Cancer Research. 76(5). 1193–1203. 55 indexed citations
2.
Wilson, Timothy R., Jianjun Yu, Xuyang Lu, et al.. (2016). The molecular landscape of high-risk early breast cancer: comprehensive biomarker analysis of a phase III adjuvant population. npj Breast Cancer. 2(1). 16022–16022. 25 indexed citations
3.
Bourgon, Richard, Shan Lu, Yibing Yan, et al.. (2014). High-Throughput Detection of Clinically Relevant Mutations in Archived Tumor Samples by Multiplexed PCR and Next-Generation Sequencing. Clinical Cancer Research. 20(8). 2080–2091. 52 indexed citations
4.
Wilson, Timothy R., Yuanyuan Xiao, Jill M. Spoerke, et al.. (2014). Development of a robust RNA-based classifier to accurately determine ER, PR, and HER2 status in breast cancer clinical samples. Breast Cancer Research and Treatment. 148(2). 315–325. 21 indexed citations
5.
Penuel, Elicia, Congfen Li, Luciana Burton, et al.. (2013). HGF as a Circulating Biomarker of Onartuzumab Treatment in Patients with Advanced Solid Tumors. Molecular Cancer Therapeutics. 12(6). 1122–1130. 20 indexed citations
6.
7.
Punnoose, Elizabeth A., Siminder Atwal, Weiqun Liu, et al.. (2012). Evaluation of Circulating Tumor Cells and Circulating Tumor DNA in Non–Small Cell Lung Cancer: Association with Clinical Endpoints in a Phase II Clinical Trial of Pertuzumab and Erlotinib. Clinical Cancer Research. 18(8). 2391–2401. 341 indexed citations
8.
Kim, Walter, Thomas Holcomb, Tom Januario, et al.. (2012). DNA Methylation Profiling Defines Clinically Relevant Biological Subsets of Non–Small Cell Lung Cancer. Clinical Cancer Research. 18(8). 2360–2373. 66 indexed citations
9.
Spoerke, Jill M., Carol O’Brien, Ling Huw, et al.. (2012). Phosphoinositide 3-Kinase (PI3K) Pathway Alterations Are Associated with Histologic Subtypes and Are Predictive of Sensitivity to PI3K Inhibitors in Lung Cancer Preclinical Models. Clinical Cancer Research. 18(24). 6771–6783. 149 indexed citations
10.
Hatzivassiliou, Georgia, Bonnie Liu, Carol O’Brien, et al.. (2012). ERK Inhibition Overcomes Acquired Resistance to MEK Inhibitors. Molecular Cancer Therapeutics. 11(5). 1143–1154. 155 indexed citations
11.
Bauerschlag, Dirk, Karen Bräutigam, Roland Moll, et al.. (2012). Systematic analysis and validation of differential gene expression in ovarian serous adenocarcinomas and normal ovary. Journal of Cancer Research and Clinical Oncology. 139(2). 347–355. 3 indexed citations
12.
Smith, Steven C., Matthew D. Nitz, Henry F. Frierson, et al.. (2009). Profiling Bladder Cancer Organ Site-Specific Metastasis Identifies LAMC2 as a Novel Biomarker of Hematogenous Dissemination. American Journal Of Pathology. 174(2). 371–379. 29 indexed citations
13.
Meinhold‐Heerlein, Ivo, Dirk Bauerschlag, Yingyao Zhou, et al.. (2007). An Integrated Clinical-Genomics Approach Identifies a Candidate Multi-Analyte Blood Test for Serous Ovarian Carcinoma. Clinical Cancer Research. 13(2). 458–466. 41 indexed citations
14.
Mukherji, Mridul, Laurence M. Brill, Scott B. Ficarro, Garret M. Hampton, & Peter G. Schultz. (2006). A Phosphoproteomic Analysis of the ErbB2 Receptor Tyrosine Kinase Signaling Pathways. Biochemistry. 45(51). 15529–15540. 40 indexed citations
15.
Sankpal, Narendra V., Christopher A. Moskaluk, Garret M. Hampton, & Steven M. Powell. (2005). Overexpression of CEBPβ correlates with decreased TFF1 in gastric cancer. Oncogene. 25(4). 643–649. 23 indexed citations
16.
17.
Frierson, Henry F., Christopher A. Moskaluk, Steven M. Powell, et al.. (2003). Large-scale molecular and tissue microarray analysis of mesothelin expression in common human carcinomas. Human Pathology. 34(6). 605–609. 122 indexed citations
18.
Miller, William R., Thomas Anderson, Dean B. Evans, et al.. (2003). An integrated view of aromatase and its inhibition. The Journal of Steroid Biochemistry and Molecular Biology. 86(3-5). 413–421. 34 indexed citations
19.
Gildea, John J, M. Jabed Seraj, Gary Oxford, et al.. (2002). RhoGDI2 is an invasion and metastasis suppressor gene in human cancer.. PubMed. 62(22). 6418–23. 197 indexed citations
20.
Chung, Tony K.H., et al.. (2001). Microsatellite instability in cervical carcinoma. European Journal of Obstetrics & Gynecology and Reproductive Biology. 94(1). 121–124. 4 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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