Timothy J. Yeatman

19.3k total citations · 3 hit papers
169 papers, 11.8k citations indexed

About

Timothy J. Yeatman is a scholar working on Molecular Biology, Oncology and Cancer Research. According to data from OpenAlex, Timothy J. Yeatman has authored 169 papers receiving a total of 11.8k indexed citations (citations by other indexed papers that have themselves been cited), including 84 papers in Molecular Biology, 84 papers in Oncology and 49 papers in Cancer Research. Recurrent topics in Timothy J. Yeatman's work include Colorectal Cancer Treatments and Studies (32 papers), Cancer Genomics and Diagnostics (30 papers) and Genetic factors in colorectal cancer (30 papers). Timothy J. Yeatman is often cited by papers focused on Colorectal Cancer Treatments and Studies (32 papers), Cancer Genomics and Diagnostics (30 papers) and Genetic factors in colorectal cancer (30 papers). Timothy J. Yeatman collaborates with scholars based in United States, Canada and United Kingdom. Timothy J. Yeatman's co-authors include Rosalyn Irby, Domenico Coppola, Steven A. Eschrich, Richard Jove, David Boulware, Richard C. Karl, Patrick Muraca, John Quackenbush, Ann F. Chambers and Michael Nebozhyn and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Journal of Clinical Investigation.

In The Last Decade

Timothy J. Yeatman

166 papers receiving 11.6k citations

Hit 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.

A renaissance for SRC

2004 942 citations Timothy J. Yeatman profile →
Role of Src expression and activation in human cancer

2000 715 citations Rosalyn Irby, Timothy J. Yeatman Oncogene profile →
Experimentally Derived Metastasis Gene Expression Profile Predicts Recurrence and Death in Patients With Colon Cancer

2009 562 citations J. Joshua Smith, Steven A. Eschrich et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Timothy J. Yeatman United States	56	5.9k	5.1k	2.9k	2.1k	1.6k	169	11.8k
Hoguen Kim South Korea	53	4.5k 0.8×	4.4k 0.9×	2.3k 0.8×	2.3k 1.1×	1.5k 0.9×	205	10.3k
Fernando Schmitt Portugal	60	5.5k 0.9×	5.3k 1.0×	4.4k 1.6×	2.1k 1.0×	2.7k 1.6×	315	13.0k
Robert L. Camp United States	56	6.2k 1.1×	5.7k 1.1×	2.4k 0.9×	1.0k 0.5×	2.3k 1.4×	118	12.8k
Thomas Kirchner Germany	63	7.4k 1.3×	8.1k 1.6×	3.7k 1.3×	2.7k 1.2×	2.4k 1.4×	271	15.2k
Xavier Matías‐Guiu Spain	64	6.4k 1.1×	4.2k 0.8×	3.5k 1.2×	2.4k 1.1×	1.8k 1.1×	435	16.1k
Gary E. Gallick United States	67	7.7k 1.3×	6.0k 1.2×	2.9k 1.0×	1.3k 0.6×	2.0k 1.2×	202	13.7k
Louis Vermeulen Netherlands	44	5.5k 0.9×	7.1k 1.4×	3.3k 1.1×	1.9k 0.9×	1.2k 0.8×	130	11.5k
Gabriel Capellá Spain	58	6.6k 1.1×	5.5k 1.1×	3.5k 1.2×	3.7k 1.7×	1.6k 1.0×	302	12.9k
Generoso Bevilacqua Italy	49	5.5k 0.9×	3.8k 0.8×	1.9k 0.7×	1.9k 0.9×	2.1k 1.3×	283	10.3k
Nam Jin Yoo South Korea	59	8.1k 1.4×	3.1k 0.6×	2.7k 0.9×	1.3k 0.6×	1.5k 0.9×	298	12.6k

Countries citing papers authored by Timothy J. Yeatman

Since Specialization

Citations

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

Fields of papers citing papers by Timothy J. Yeatman

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Timothy J. Yeatman. 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 Timothy J. Yeatman. The network helps show where Timothy J. Yeatman may publish in the future.

Co-authorship network of co-authors of Timothy J. Yeatman

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Yang, Mingli, Michael Nebozhyn, Michael J. Schell, et al.. (2025). Identifying distinct prognostic and predictive contributions of tumor epithelium versus tumor microenvironment in colorectal cancer. BMC Cancer. 25(1). 441–441. 1 indexed citations

Yang, Mingli & Timothy J. Yeatman. (2017). Molecular stratification of colorectal cancer populations and its use in directing precision medicine. Expert Review of Precision Medicine and Drug Development. 2(4). 205–215. 3 indexed citations

Schell, Michael J., Mingli Yang, Jamie K. Teer, et al.. (2016). A multigene mutation classification of 468 colorectal cancers reveals a prognostic role for APC. Nature Communications. 7(1). 11743–11743. 152 indexed citations

Schell, Michael J., Mingli Yang, Edoardo Missiaglia, et al.. (2015). A Composite Gene Expression Signature Optimizes Prediction of Colorectal Cancer Metastasis and Outcome. Clinical Cancer Research. 22(3). 734–745. 30 indexed citations

Oh, Sang Cheul, Yun‐Yong Park, Eun Sung Park, et al.. (2011). Prognostic gene expression signature associated with two molecularly distinct subtypes of colorectal cancer. Gut. 61(9). 1291–1298. 64 indexed citations

Nam, Ki Taek, J. Joshua Smith, Lynne A. Lapierre, et al.. (2010). Loss of Rab25 promotes the development of intestinal neoplasia in mice and is associated with human colorectal adenocarcinomas. Journal of Clinical Investigation. 120(3). 840–849. 118 indexed citations

Efferson, Clay L., Christopher T. Winkelmann, Christopher Ware, et al.. (2010). Downregulation of Notch Pathway by a γ-Secretase Inhibitor Attenuates AKT/Mammalian Target of Rapamycin Signaling and Glucose Uptake in an ERBB2 Transgenic Breast Cancer Model. Cancer Research. 70(6). 2476–2484. 76 indexed citations

Jorissen, Robert N., Peter Gibbs, Michael Christie, et al.. (2009). Metastasis-Associated Gene Expression Changes Predict Poor Outcomes in Patients with Dukes Stage B and C Colorectal Cancer. Clinical Cancer Research. 15(24). 7642–7651. 343 indexed citations

Chen, Dung‐Tsa, Aejaz Nasir, Aedín C. Culhane, et al.. (2009). Proliferative genes dominate malignancy-risk gene signature in histologically-normal breast tissue. Breast Cancer Research and Treatment. 119(2). 335–346. 115 indexed citations

10.

Xu, Baogang, Jiaqing Li, R. Daniel Beauchamp, et al.. (2009). Identification of Early Intestinal Neoplasia Protein Biomarkers Using Laser Capture Microdissection and MALDI MS. Molecular & Cellular Proteomics. 8(5). 936–945. 19 indexed citations

11.

Chen, Dung‐Tsa, Aejaz Nasir, Chinnambally Venkataramu, et al.. (2009). Evaluation of malignancy-risk gene signature in breast cancer patients. Breast Cancer Research and Treatment. 120(1). 25–34. 9 indexed citations

12.

Cheng, Alfred S.L., Aedín C. Culhane, Michael W.Y. Chan, et al.. (2008). Epithelial Progeny of Estrogen-Exposed Breast Progenitor Cells Display a Cancer-like Methylome. Cancer Research. 68(6). 1786–1796. 112 indexed citations

13.

Jorissen, Robert N., Lara Lipton, Peter Gibbs, et al.. (2008). DNA Copy-Number Alterations Underlie Gene Expression Differences between Microsatellite Stable and Unstable Colorectal Cancers. Clinical Cancer Research. 14(24). 8061–8069. 75 indexed citations

14.

Eschrich, Steven A., Jimmy Pramana, Haiyan Zhang, et al.. (2008). A robust multigene expression assay to predict clinical response to chemoradiotherapy. Clinical Cancer Research. 14. 1 indexed citations

15.

Kline, C. Leah B., Rosalind J. Jackson, Robert W. Engelman, et al.. (2008). Src kinase induces tumor formation in the c‐SRC C57BL/6 mouse. International Journal of Cancer. 122(12). 2665–2673. 13 indexed citations

16.

Yan, Pearlly S., Chinnambally Venkataramu, Ashraf E.K. Ibrahim, et al.. (2006). Mapping Geographic Zones of Cancer Risk with Epigenetic Biomarkers in Normal Breast Tissue. Clinical Cancer Research. 12(22). 6626–6636. 153 indexed citations

17.

Bloomston, Mark, Jeff X. Zhou, Alexander S. Rosemurgy, et al.. (2006). Fibrinogen γ Overexpression in Pancreatic Cancer Identified by Large-scale Proteomic Analysis of Serum Samples. Cancer Research. 66(5). 2592–2599. 83 indexed citations

18.

Nasir, Aejaz, Hans Kaiser, David Boulware, et al.. (2004). Cyclooxygenase-2 Expression in Right- and Left-Sided Colon Cancer: A Rationale For Optimization of Cyclooxygenase-2 Inhibitor Therapy. Clinical Colorectal Cancer. 3(4). 243–247. 23 indexed citations

19.

Mao, Weiguang, Rosalyn Irby, Domenico Coppola, et al.. (1997). Activation of c-Src by receptor tyrosine kinases in human colon cancer cells with high metastatic potential. Oncogene. 15(25). 3083–3090. 171 indexed citations

20.

Karl, Richard C., Junsung Choi, Timothy J. Yeatman, & Robert A. Clark. (1997). Role of computed tomographic arterial portography and intraoperative ultrasound in the evaluation of patients for resectability of hepatic lesions. Journal of Gastrointestinal Surgery. 1(2). 152–158. 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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