Eric M. Sanford

4.8k total citations
22 papers, 974 citations indexed

About

Eric M. Sanford is a scholar working on Cancer Research, Molecular Biology and Oncology. According to data from OpenAlex, Eric M. Sanford has authored 22 papers receiving a total of 974 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Cancer Research, 7 papers in Molecular Biology and 7 papers in Oncology. Recurrent topics in Eric M. Sanford's work include Cancer Genomics and Diagnostics (7 papers), Genetic factors in colorectal cancer (4 papers) and CAR-T cell therapy research (2 papers). Eric M. Sanford is often cited by papers focused on Cancer Genomics and Diagnostics (7 papers), Genetic factors in colorectal cancer (4 papers) and CAR-T cell therapy research (2 papers). Eric M. Sanford collaborates with scholars based in United States, United Kingdom and Mexico. Eric M. Sanford's co-authors include Vincent A. Miller, Jeffrey S. Ross, Garrett M. Frampton, Siraj M. Ali, Phil Stephens, James Sun, Yuting He, Roman Yelensky, Philip J. Stephens and Doron Lipson and has published in prestigious journals such as Journal of Clinical Oncology, Blood and Gastroenterology.

In The Last Decade

Eric M. Sanford

21 papers receiving 966 citations

Peers

Eric M. Sanford
Lindsey Kelly United States
Paul Fréneaux France
Susan J. Hsiao United States
Sohail Balasubramanian United States
Mervi Aavikko Finland
Kerry D. Lynch United States
Boryana Zhelyazkova United States
Siu‐Ki Chan China
Agnieszka Dansonka‐Mieszkowska Poland
Nora Sahnane Italy
Lindsey Kelly United States
Eric M. Sanford
Citations per year, relative to Eric M. Sanford Eric M. Sanford (= 1×) peers Lindsey Kelly

Countries citing papers authored by Eric M. Sanford

Since Specialization
Citations

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

Fields of papers citing papers by Eric M. Sanford

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Eric M. Sanford

This figure shows the co-authorship network connecting the top 25 collaborators of Eric M. Sanford. A scholar is included among the top collaborators of Eric M. Sanford 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 Eric M. Sanford. Eric M. Sanford 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.
Sanford, Eric M., et al.. (2025). Biogeographic variation in mussel shell thickness and drilling predation on rocky shores. Oecologia. 207(8). 126–126.
2.
Nielsen, Erica S., et al.. (2024). Pushed waves, trailing edges, and extreme events: Eco‐evolutionary dynamics of a geographic range shift in the owl limpet, Lottia gigantea. Global Change Biology. 30(7). e17414–e17414. 1 indexed citations
3.
Kiani, Karun, Eric M. Sanford, Yogesh Goyal, & Arjun Raj. (2022). Changes in chromatin accessibility are not concordant with transcriptional changes for single‐factor perturbations. Molecular Systems Biology. 18(9). e10979–e10979. 34 indexed citations
4.
Sanford, Eric M., Benjamin Emert, Abhyudai Singh, et al.. (2020). Gene Networks with Transcriptional Bursting Recapitulate Rare Transient Coordinated High Expression States in Cancer. Cell Systems. 10(4). 363–378.e12. 45 indexed citations
5.
Sanford, Eric M., Benjamin Emert, Allison Coté, & Arjun Raj. (2020). Gene regulation gravitates toward either addition or multiplication when combining the effects of two signals. eLife. 9. 18 indexed citations
6.
Trabucco, Sally E., Kyle Gowen, Sophia L. Maund, et al.. (2019). A Novel Next-Generation Sequencing Approach to Detecting Microsatellite Instability and Pan-Tumor Characterization of 1000 Microsatellite Instability–High Cases in 67,000 Patient Samples. Journal of Molecular Diagnostics. 21(6). 1053–1066. 162 indexed citations
7.
Sun, James, Yuting He, Eric M. Sanford, et al.. (2018). A computational approach to distinguish somatic vs. germline origin of genomic alterations from deep sequencing of cancer specimens without a matched normal. PLoS Computational Biology. 14(2). e1005965–e1005965. 177 indexed citations
8.
Zhao, Qi, et al.. (2017). Rational library design by functional CDR resampling. New Biotechnology. 45. 89–97. 8 indexed citations
9.
Padovan‐Merhar, Olivia, Pichai Raman, Irina Ostrovnaya, et al.. (2016). Enrichment of Targetable Mutations in the Relapsed Neuroblastoma Genome. PLoS Genetics. 12(12). e1006501–e1006501. 84 indexed citations
10.
Ravi, Vinod, Eric M. Sanford, Wei‐Lien Wang, et al.. (2016). Antitumor Response of VEGFR2- and VEGFR3-Amplified Angiosarcoma to Pazopanib. Journal of the National Comprehensive Cancer Network. 14(5). 499–502. 32 indexed citations
11.
Yaeger, Rona, Manish A. Shah, Vincent A. Miller, et al.. (2016). Genomic Alterations Observed in Colitis-Associated Cancers Are Distinct From Those Found in Sporadic Colorectal Cancers and Vary by Type of Inflammatory Bowel Disease. Gastroenterology. 151(2). 278–287.e6. 144 indexed citations
12.
Hall, Michael J., Kyle Gowen, Eric M. Sanford, et al.. (2016). Evaluation of microsatellite instability (MSI) status in gastrointestinal (GI) tumor samples tested with comprehensive genomic profiling (CGP).. Journal of Clinical Oncology. 34(4_suppl). 528–528. 10 indexed citations
13.
Hall, Michael J., Kyle Gowen, Eric M. Sanford, et al.. (2016). Evaluation of microsatellite instability (MSI) status in 11,573 diverse solid tumors using comprehensive genomic profiling (CGP).. Journal of Clinical Oncology. 34(15_suppl). 1523–1523. 14 indexed citations
14.
Klempner, Samuel J., Sai‐Hong Ignatius Ou, Daniel B. Costa, et al.. (2015). The Clinical Use of Genomic Profiling to Distinguish Intrapulmonary Metastases From Synchronous Primaries in Non–Small-Cell Lung Cancer: A Mini-Review. Clinical Lung Cancer. 16(5). 334–339.e1. 25 indexed citations
15.
Klempner, Samuel J., Christopher R. Garrett, Tara Elisabeth Seery, et al.. (2015). Identification and characterization of RET fusions in advanced colorectal cancer. Oncotarget. 6(30). 28929–28937. 80 indexed citations
16.
Sanford, Eric M., Siraj M. Ali, Julia A. Elvin, et al.. (2015). Comprehensive genomic profiling of anal squamous cell carcinoma to reveal frequency of clinically relevant genomic alterations in the PI3K/mTOR pathway.. Journal of Clinical Oncology. 33(15_suppl). 3522–3522. 1 indexed citations
17.
Hall, Michael J., Eric A. Ross, Jeff Boyd, et al.. (2015). Germline variants in cancer risk genes detected by NGS-based comprehensive tumor genomic profiling (CGP).. Journal of Clinical Oncology. 33(15_suppl). 11084–11084. 6 indexed citations
18.
Ali, Siraj M., Sumanta K. Pal, Kai Wang, et al.. (2015). Comprehensive Genomic Profiling of Advanced Penile Carcinoma Suggests a High Frequency of Clinically Relevant Genomic Alterations. The Oncologist. 21(1). 33–39. 61 indexed citations
19.
Krivtsov, Andrei V., Xujun Wang, Noushin Farnoud, et al.. (2014). Patient Derived Xenograft (PDX) Models Recapitulate the Genomic-Driver Composition of Acute Leukemia Samples. Blood. 124(21). 286–286. 3 indexed citations
20.
Krivtsov, Andrei V., Xujun Wang, Noushin Farnoud, et al.. (2013). Patient Derived Xenograft (PDX) Models Faithfully Recapitulate The Genetic Composition Of Primary AML. Blood. 122(21). 1328–1328. 1 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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