Garrett M. Frampton

650 total papers · 42.9k total citations
219 papers, 15.5k citations indexed

About

Garrett M. Frampton is a scholar working on Cancer Research, Oncology and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Garrett M. Frampton has authored 219 papers receiving a total of 15.5k indexed citations (citations by other indexed papers that have themselves been cited), including 128 papers in Cancer Research, 110 papers in Oncology and 83 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Garrett M. Frampton's work include Cancer Genomics and Diagnostics (123 papers), Lung Cancer Treatments and Mutations (51 papers) and Cancer Immunotherapy and Biomarkers (43 papers). Garrett M. Frampton is often cited by papers focused on Cancer Genomics and Diagnostics (123 papers), Lung Cancer Treatments and Mutations (51 papers) and Cancer Immunotherapy and Biomarkers (43 papers). Garrett M. Frampton collaborates with scholars based in United States, France and Italy. Garrett M. Frampton's co-authors include Richard A. Young, Vincent A. Miller, Philip J. Stephens, Rudolf Jaenisch, Razelle Kurzrock, Aaron M. Goodman, Phillip A. Sharp, Albert W. Cheng, G. Grant Welstead and Jacob H. Hanna and has published in prestigious journals such as Nature, Cell and Proceedings of the National Academy of Sciences.

In The Last Decade

Garrett M. Frampton

208 papers receiving 15.4k citations

Hit Papers

normalize citations (0→100%) normalize lifespan (0→100%) sort by overperformance

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 benchmark for papers published in the same subfield and year, or reaches the top citation threshold in at least one of its specific research topics.

Histone H3K27ac separates active from poised enhancers and predicts developmental state

2010 2.9k citations Menno P. Creyghton, Albert W. Cheng et al. Proceedings of the National Academy of Sciences profile →
Tumor Mutational Burden as an Independent Predictor of Response to Immunotherapy in Diverse Cancers

2017 1.6k citations Aaron M. Goodman, Shumei Kato et al. Molecular Cancer Therapeutics profile →
Connecting microRNA Genes to the Core Transcriptional Regulatory Circuitry of Embryonic Stem Cells

2008 1.1k citations Alexander Marson, Stuart S. Levine et al. Cell profile →
Foxp3 occupancy and regulation of key target genes during T-cell stimulation

2007 580 citations Alexander Marson, Karsten Kretschmer et al. Nature profile →
PD-L1 expression and tumor mutational burden are independent biomarkers in most cancers

2019 382 citations Mark Yarchoan, Lee A. Albacker et al. JCI Insight profile →
Integrative Analysis of a Large Real-World Cohort of Small Cell Lung Cancer Identifies Distinct Genetic Subtypes and Insights into Histologic Transformation

2023 72 citations Smruthy Sivakumar, Jay A. Moore et al. Cancer Discovery profile →

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Garrett M. Frampton	8.1k	5.9k	4.0k	3.7k	2.0k	219	15.5k
Lee J. Helman	7.0k 0.9×	4.0k 0.7×	2.4k 0.6×	5.0k 1.3×	1.4k 0.7×	208	14.3k
Yae Kanai	8.7k 1.1×	4.5k 0.8×	3.1k 0.8×	2.2k 0.6×	1.7k 0.8×	285	14.8k
Michael Ittmann	13.4k 1.6×	4.6k 0.8×	5.1k 1.3×	6.1k 1.6×	1.7k 0.8×	279	20.7k
Gerhard Christofori	12.3k 1.5×	7.1k 1.2×	4.5k 1.1×	1.8k 0.5×	1.7k 0.8×	163	19.6k
Hiroyuki Mano	9.3k 1.2×	8.4k 1.4×	4.6k 1.2×	8.5k 2.3×	2.3k 1.1×	261	19.5k
Allen M. Gown	5.0k 0.6×	6.4k 1.1×	3.7k 0.9×	3.8k 1.0×	1.1k 0.5×	191	16.1k
Gregory J. Riggins	11.7k 1.4×	4.1k 0.7×	5.3k 1.3×	2.2k 0.6×	1.3k 0.7×	117	18.4k
Poul H. Sorensen	7.8k 1.0×	3.7k 0.6×	2.5k 0.6×	5.2k 1.4×	984 0.5×	201	14.5k
Reinhard Buettner	8.9k 1.1×	3.4k 0.6×	2.1k 0.5×	2.3k 0.6×	1.3k 0.6×	312	14.3k
Koshi Mimori	11.7k 1.4×	6.0k 1.0×	7.6k 1.9×	2.1k 0.6×	1.4k 0.7×	389	17.9k

Countries citing papers authored by Garrett M. Frampton

Since Specialization

Citations

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

Fields of papers citing papers by Garrett M. Frampton

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Garrett M. Frampton

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

All Works

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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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