William M. Grady

20.5k total citations · 5 hit papers
189 papers, 11.8k citations indexed

About

William M. Grady is a scholar working on Molecular Biology, Pathology and Forensic Medicine and Oncology. According to data from OpenAlex, William M. Grady has authored 189 papers receiving a total of 11.8k indexed citations (citations by other indexed papers that have themselves been cited), including 90 papers in Molecular Biology, 82 papers in Pathology and Forensic Medicine and 80 papers in Oncology. Recurrent topics in William M. Grady's work include Genetic factors in colorectal cancer (79 papers), Colorectal Cancer Screening and Detection (42 papers) and Epigenetics and DNA Methylation (40 papers). William M. Grady is often cited by papers focused on Genetic factors in colorectal cancer (79 papers), Colorectal Cancer Screening and Detection (42 papers) and Epigenetics and DNA Methylation (40 papers). William M. Grady collaborates with scholars based in United States, China and South Africa. William M. Grady's co-authors include Sanford D. Markowitz, John M. Carethers, Victoria Valinluck Lao, Ajay Goel, Yoshinaga Okugawa, Ming Yu, Ernst J. Kuipers, Joseph Willis, David A. Lieberman and Joseph J.�Y. Sung and has published in prestigious journals such as New England Journal of Medicine, Proceedings of the National Academy of Sciences and Nature Communications.

In The Last Decade

William M. Grady

181 papers receiving 11.6k citations

Hit Papers

5 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.

Colorectal cancer

2015 1.1k citations Ernst J. Kuipers, William M. Grady et al. profile →
Genomic and Epigenetic Instability in Colorectal Cancer Pathogenesis

2008 734 citations William M. Grady et al. profile →
Epigenetic Alterations in Colorectal Cancer: Emerging Biomarkers

2015 564 citations William M. Grady et al. profile →
Epigenetics and colorectal cancer

2011 525 citations Victoria Valinluck Lao, William M. Grady profile →
A Cell-free DNA Blood-Based Test for Colorectal Cancer Screening

2024 163 citations William M. Grady et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
William M. Grady United States	55	6.2k	4.8k	3.7k	3.1k	2.0k	189	11.8k
Gabriel Capellá Spain	58	6.6k 1.1×	5.5k 1.2×	3.7k 1.0×	3.5k 1.1×	1.6k 0.8×	302	12.9k
Katsuhiko Nosho United States	55	4.1k 0.7×	4.6k 1.0×	2.8k 0.8×	2.2k 0.7×	1.4k 0.7×	112	9.0k
Thomas Kirchner Germany	63	7.4k 1.2×	8.1k 1.7×	2.7k 0.7×	3.7k 1.2×	2.4k 1.2×	271	15.2k
Antonio Russo Italy	55	4.7k 0.8×	5.8k 1.2×	1.7k 0.5×	3.2k 1.0×	2.3k 1.2×	371	11.9k
Haruhiko Sugimura Japan	58	7.2k 1.2×	3.0k 0.6×	1.6k 0.4×	2.6k 0.9×	2.1k 1.1×	405	12.4k
Siu Tsan Yuen Hong Kong	45	4.3k 0.7×	3.1k 0.6×	2.3k 0.6×	2.8k 0.9×	1.6k 0.8×	94	9.1k
Wolff Schmiegel Germany	58	4.1k 0.7×	6.2k 1.3×	2.2k 0.6×	2.2k 0.7×	2.3k 1.1×	267	13.1k
Xavier Matías‐Guiu Spain	64	6.4k 1.0×	4.2k 0.9×	2.4k 0.6×	3.5k 1.1×	1.8k 0.9×	435	16.1k
Louis Vermeulen Netherlands	44	5.5k 0.9×	7.1k 1.5×	1.9k 0.5×	3.3k 1.1×	1.2k 0.6×	130	11.5k
Generoso Bevilacqua Italy	49	5.5k 0.9×	3.8k 0.8×	1.9k 0.5×	1.9k 0.6×	2.1k 1.1×	283	10.3k

Countries citing papers authored by William M. Grady

Since Specialization

Citations

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

Fields of papers citing papers by William M. Grady

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of William M. Grady

This figure shows the co-authorship network connecting the top 25 collaborators of William M. Grady. A scholar is included among the top collaborators of William M. Grady 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 William M. Grady. William M. Grady 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

Hattangady, Namita G., et al.. (2024). Mapping the core senescence phenotype of primary human colon fibroblasts. Aging. 16(4). 3068–3087. 2 indexed citations

Barner, Lindsey A., Gan Gao, Deepti Reddi, et al.. (2023). Artificial Intelligence–Triaged 3-Dimensional Pathology to Improve Detection of Esophageal Neoplasia While Reducing Pathologist Workloads. Modern Pathology. 36(12). 100322–100322. 7 indexed citations

Chandar, Apoorva K., William M. Grady, Marcia Irene Canto, et al.. (2023). Patients With Esophageal Adenocarcinoma With Prior Gastroesophageal Reflux Disease Symptoms Are Similar to Those Without Gastroesophageal Reflux Disease: A Cross-Sectional Study. The American Journal of Gastroenterology. 119(5). 823–829. 2 indexed citations

Yu, Ming, Kelly Carter, Kelsey K. Baker, et al.. (2023). Elevated EVL Methylation Level in the Normal Colon Mucosa Is a Potential Risk Biomarker for Developing Recurrent Adenomas. Cancer Epidemiology Biomarkers & Prevention. 32(9). 1146–1152. 3 indexed citations

Pooler, B. Dustin, David H. Kim, Kristina A. Matkowskyj, et al.. (2023). Growth rates and histopathological outcomes of small (6–9 mm) colorectal polyps based on CT colonography surveillance and endoscopic removal. Gut. 72(12). 2321–2328. 9 indexed citations

Yu, Ming, Helen Moinova, Amber Willbanks, et al.. (2022). Novel DNA Methylation Biomarker Panel for Detection of Esophageal Adenocarcinoma and High-Grade Dysplasia. Clinical Cancer Research. 28(17). 3761–3769. 11 indexed citations

Li, Yingjie, Liangliang Bai, Huichuan Yu, et al.. (2020). Epigenetic Inactivation of α-Internexin Accelerates Microtubule Polymerization in Colorectal Cancer. Cancer Research. 80(23). 5203–5215. 15 indexed citations

Luebeck, E. Georg, William D. Hazelton, Kit Curtius, et al.. (2018). Implications of Epigenetic Drift in Colorectal Neoplasia. Cancer Research. 79(3). 495–504. 24 indexed citations

Sripathy, Smitha, Vid Leko, Taylor K. Loe, et al.. (2017). Screen for reactivation of MeCP2 on the inactive X chromosome identifies the BMP/TGF-β superfamily as a regulator of XIST expression. Proceedings of the National Academy of Sciences. 114(7). 1619–1624. 49 indexed citations

10.

Bosch, Linda J.W., Yanxin Luo, Victoria Valinluck Lao, et al.. (2016). WRN Promoter CpG Island Hypermethylation Does Not Predict More Favorable Outcomes for Patients with Metastatic Colorectal Cancer Treated with Irinotecan-Based Therapy. Clinical Cancer Research. 22(18). 4612–4622. 6 indexed citations

11.

Sun, Xiangqing, Robert C. Elston, Jill S. Barnholtz‐Sloan, et al.. (2016). Predicting Barrett's Esophagus in Families: An Esophagus Translational Research Network (BETRNet) Model Fitting Clinical Data to a Familial Paradigm. Cancer Epidemiology Biomarkers & Prevention. 25(5). 727–735. 10 indexed citations

12.

Fischer, Jared M., Peter Calabrese, Ashleigh Miller, et al.. (2016). Single cell lineage tracing reveals a role for TgfβR2 in intestinal stem cell dynamics and differentiation. Proceedings of the National Academy of Sciences. 113(43). 12192–12197. 18 indexed citations

13.

Yu, Ming, Andrew M. Kaz, Shelli M. Morris, et al.. (2015). Methylated B3GAT2 and ZNF793 Are Potential Detection Biomarkers for Barrett's Esophagus. Cancer Epidemiology Biomarkers & Prevention. 24(12). 1890–1897. 11 indexed citations

14.

Meeker, Stacey, Audrey Seamons, Jisun Paik, et al.. (2014). Increased Dietary Vitamin D Suppresses MAPK Signaling, Colitis, and Colon Cancer. Cancer Research. 74(16). 4398–4408. 97 indexed citations

15.

Burnett‐Hartman, Andrea N., Polly A. Newcomb, John D. Potter, et al.. (2013). Genomic Aberrations Occurring in Subsets of Serrated Colorectal Lesions but not Conventional Adenomas. Cancer Research. 73(9). 2863–2872. 74 indexed citations

16.

Jonge, Pieter Jan F. de, M. van Blankenstein, William M. Grady, & Ernst J. Kuipers. (2013). Barrett's oesophagus: epidemiology, cancer risk and implications for management. Gut. 63(1). 191–202. 90 indexed citations

17.

Sun, Xiangqing, Robert C. Elston, Jill S. Barnholtz‐Sloan, et al.. (2010). A Segregation Analysis of Barrett's Esophagus and Associated Adenocarcinomas. Cancer Epidemiology Biomarkers & Prevention. 19(3). 666–674. 33 indexed citations

18.

Ulrich, Cornelia M. & William M. Grady. (2010). Linking Epidemiology to Epigenomics—Where Are We Today?. Cancer Prevention Research. 3(12). 1505–1508. 12 indexed citations

19.

Veiseh, Mandana, S-Bahram Bahrami, Miqin Zhang, et al.. (2007). Tumor Paint: A Chlorotoxin:Cy5.5 Bioconjugate for Intraoperative Visualization of Cancer Foci. Cancer Research. 67(14). 6882–6888. 350 indexed citations

20.

Biswas, Swati, Anna Chytil, Kay Washington, et al.. (2004). Transforming Growth Factor β Receptor Type II Inactivation Promotes the Establishment and Progression of Colon Cancer. Cancer Research. 64(14). 4687–4692. 124 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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