Sheri D. Schully

4.0k total citations
55 papers, 1.4k citations indexed

About

Sheri D. Schully is a scholar working on Genetics, Public Health, Environmental and Occupational Health and Cancer Research. According to data from OpenAlex, Sheri D. Schully has authored 55 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Genetics, 17 papers in Public Health, Environmental and Occupational Health and 16 papers in Cancer Research. Recurrent topics in Sheri D. Schully's work include BRCA gene mutations in cancer (15 papers), Cancer Genomics and Diagnostics (14 papers) and Genomics and Rare Diseases (12 papers). Sheri D. Schully is often cited by papers focused on BRCA gene mutations in cancer (15 papers), Cancer Genomics and Diagnostics (14 papers) and Genomics and Rare Diseases (12 papers). Sheri D. Schully collaborates with scholars based in United States, Australia and Malaysia. Sheri D. Schully's co-authors include Muin J. Khoury, Muin J. Khoury, John P. A. Ioannidis, Elizabeth M. Gillanders, Shareen A. Iqbal, Joshua D. Wallach, Tram Kim Lam, Andrew N. Freedman, Michael E. Hellberg and Leah E. Mechanic and has published in prestigious journals such as PLoS ONE, JNCI Journal of the National Cancer Institute and Cancer Research.

In The Last Decade

Sheri D. Schully

54 papers receiving 1.3k citations

Peers

Sheri D. Schully
W. David Dotson United States
Arjun K. Manrai United States
Mindy Clyne United States
Ron Zimmern United Kingdom
Brian H. Shirts United States
Jim Vaught United States
Sharon Hensley Alford United States
Karen Kwan United States
L. S. Freedman United Kingdom
Robert Hemmings Canada
W. David Dotson United States
Sheri D. Schully
Citations per year, relative to Sheri D. Schully Sheri D. Schully (= 1×) peers W. David Dotson

Countries citing papers authored by Sheri D. Schully

Since Specialization
Citations

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

Fields of papers citing papers by Sheri D. Schully

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Sheri D. Schully. 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 Sheri D. Schully. The network helps show where Sheri D. Schully may publish in the future.

Co-authorship network of co-authors of Sheri D. Schully

This figure shows the co-authorship network connecting the top 25 collaborators of Sheri D. Schully. A scholar is included among the top collaborators of Sheri D. Schully 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 Sheri D. Schully. Sheri D. Schully 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.
Litwin, Tamara R., et al.. (2023). Abstract A120: Disparities in cervical cancer screening rates and electronic health record completeness among All of Us Research Program participants. Cancer Epidemiology Biomarkers & Prevention. 32(1_Supplement). A120–A120. 1 indexed citations
2.
Alonso, Álvaro, Hooman Kamel, Vignesh Subbian, et al.. (2022). Epidemiology of atrial fibrillation in the All of Us Research Program. PLoS ONE. 17(3). e0265498–e0265498. 18 indexed citations
3.
Miller, Cheryl N., Keri N. Althoff, David J. Schlueter, et al.. (2022). Concordance of SARS-CoV-2 Antibody Results during a Period of Low Prevalence. mSphere. 7(5). e0025722–e0025722.
4.
Schully, Sheri D., et al.. (2022). NIH Primary and Secondary Prevention Research in Humans: a Portfolio Analysis of Study Designs Used in 2012–2019. Prevention Science. 23(4). 477–487. 1 indexed citations
5.
Baxter, Sally L., Bharanidharan Radha Saseendrakumar, Paulina Paul, et al.. (2021). Predictive Analytics for Glaucoma Using Data From the All of Us Research Program. American Journal of Ophthalmology. 227. 74–86. 38 indexed citations
6.
Murray, David M., et al.. (2021). New NIH Primary and Secondary Prevention Research During 2012–2019. American Journal of Preventive Medicine. 60(6). e261–e268. 6 indexed citations
7.
Khoury, Muin J., W Feero, David Chambers, et al.. (2018). A collaborative translational research framework for evaluating and implementing the appropriate use of human genome sequencing to improve health. PLoS Medicine. 15(8). e1002631–e1002631. 37 indexed citations
8.
Clyne, Mindy, et al.. (2016). Trends in published meta-analyses in cancer research, 2008–2013. Cancer Causes & Control. 28(1). 5–12. 5 indexed citations
9.
Filipski, Kelly K., et al.. (2014). An overview of recommendations and translational milestones for genomic tests in cancer. Genetics in Medicine. 17(6). 431–440. 7 indexed citations
10.
Carrick, Danielle M., et al.. (2014). The Use of Biospecimens in Population-Based Research: A Review of the National Cancer Institute's Division of Cancer Control and Population Sciences Grant Portfolio. Biopreservation and Biobanking. 12(4). 240–245. 14 indexed citations
11.
Clyne, Mindy, Sheri D. Schully, W. David Dotson, et al.. (2014). Horizon scanning for translational genomic research beyond bench to bedside. Genetics in Medicine. 16(7). 535–538. 22 indexed citations
12.
Shaikh, Abdul R., Atul J. Butte, Sheri D. Schully, et al.. (2014). Collaborative Biomedicine in the Age of Big Data: The Case of Cancer. Journal of Medical Internet Research. 16(4). e101–e101. 39 indexed citations
13.
14.
Dotson, W. David, Michael P. Douglas, Katherine Kolor, et al.. (2013). Prioritizing Genomic Applications for Action by Level of Evidence: A Horizon-Scanning Method. Clinical Pharmacology & Therapeutics. 95(4). 394–402. 46 indexed citations
15.
Ioannidis, John P. A., et al.. (2013). The Geometric Increase in Meta-Analyses from China in the Genomic Era. PLoS ONE. 8(6). e65602–e65602. 37 indexed citations
16.
Ioannidis, John P. A., et al.. (2013). Potential increased risk of cancer from commonly used medications: an umbrella review of meta-analyses. Annals of Oncology. 25(1). 16–23. 32 indexed citations
17.
Goddard, Katrina A.B., William A. Knaus, Evelyn P Whitlock, et al.. (2012). Building the evidence base for decision making in cancer genomic medicine using comparative effectiveness research. Genetics in Medicine. 14(7). 633–642. 28 indexed citations
18.
Ishibe, Naoko, Josh J. Carlson, Scott D. Ramsey, Andrew N. Freedman, & Sheri D. Schully. (2011). Use of Epidermal Growth Factor Receptor Mutation Analysis in Patients with Advanced Non-Small-Cell Lung Cancer to Determine Erlotinib Use as First-Line Therapy. PLoS Currents. 3. RRN1245–RRN1245. 4 indexed citations
19.
Schully, Sheri D., et al.. (2009). Translational Research in Cancer Genetics: The Road Less Traveled. Public Health Genomics. 14(1). 1–8. 54 indexed citations
20.
Schully, Sheri D., et al.. (2004). A microsatellite linkage map of Drosophila mojavensis. BMC Genetics. 5(1). 12–12. 24 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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