Marc S. Williams

19.4k total citations · 3 hit papers
227 papers, 7.1k citations indexed

About

Marc S. Williams is a scholar working on Genetics, Public Health, Environmental and Occupational Health and Molecular Biology. According to data from OpenAlex, Marc S. Williams has authored 227 papers receiving a total of 7.1k indexed citations (citations by other indexed papers that have themselves been cited), including 114 papers in Genetics, 41 papers in Public Health, Environmental and Occupational Health and 38 papers in Molecular Biology. Recurrent topics in Marc S. Williams's work include Genomics and Rare Diseases (82 papers), BRCA gene mutations in cancer (60 papers) and Health Systems, Economic Evaluations, Quality of Life (33 papers). Marc S. Williams is often cited by papers focused on Genomics and Rare Diseases (82 papers), BRCA gene mutations in cancer (60 papers) and Health Systems, Economic Evaluations, Quality of Life (33 papers). Marc S. Williams collaborates with scholars based in United States, United Kingdom and Canada. Marc S. Williams's co-authors include Heidi L. Rehm, Robert L. Nussbaum, Michael S. Watson, Christa Lese Martin, Leslie G. Biesecker, Jonathan S. Berg, Robert C. Green, Bruce R. Korf, Kelly E. Ormond and Wayne W. Grody and has published in prestigious journals such as The Lancet, JAMA and Journal of Clinical Oncology.

In The Last Decade

Marc S. Williams

219 papers receiving 6.9k 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.

ACMG recommendations for reporting of incidental findings in clinical exome and genome sequencing

2013 1.6k citations Marc S. Williams et al. Genetics in Medicine profile →
Standardizing terms for clinical pharmacogenetic test results: consensus terms from the Clinical Pharmacogenetics Implementation Consortium (CPIC)

2016 354 citations Robert R. Freimuth, Josh F. Peterson et al. Genetics in Medicine profile →
Pharmacogenomics

2019 238 citations Marc S. Williams, Josh F. Peterson et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Marc S. Williams United States	37	3.1k	1.3k	1.2k	888	854	227	7.1k
Michael S. Watson United States	41	5.2k 1.7×	2.4k 1.8×	995 0.8×	1.9k 2.1×	1.2k 1.4×	115	9.7k
Wylie Burke United States	57	6.6k 2.1×	1.5k 1.2×	3.2k 2.6×	1.3k 1.5×	1.9k 2.2×	250	13.5k
Amy L. McGuire United States	46	4.7k 1.5×	1.6k 1.2×	3.4k 2.9×	1.2k 1.3×	1.2k 1.4×	226	9.4k
Muin J. Khoury United States	39	2.4k 0.8×	1.8k 1.3×	914 0.8×	435 0.5×	364 0.4×	95	7.0k
Timothy R. Rebbeck United States	56	5.6k 1.8×	3.0k 2.3×	1.2k 1.0×	777 0.9×	2.7k 3.1×	257	12.7k
Mary B. Daly United States	43	6.1k 2.0×	1.8k 1.3×	1.2k 1.0×	1.1k 1.2×	2.2k 2.6×	175	10.9k
Kelly E. Ormond United States	34	3.6k 1.2×	1.1k 0.9×	1.7k 1.4×	1.6k 1.8×	776 0.9×	121	6.4k
Kathryn J. Ruddy United States	44	1.3k 0.4×	1.4k 1.1×	1.7k 1.4×	920 1.0×	1.6k 1.9×	324	8.7k
Joellen M. Schildkraut United States	51	2.2k 0.7×	2.3k 1.8×	946 0.8×	1.1k 1.3×	1.2k 1.4×	219	8.7k
Martina C. Cornel Netherlands	41	2.5k 0.8×	984 0.7×	1.6k 1.3×	2.0k 2.2×	326 0.4×	276	6.3k

Countries citing papers authored by Marc S. Williams

Since Specialization

Citations

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

Fields of papers citing papers by Marc S. Williams

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Marc S. Williams. 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 Marc S. Williams. The network helps show where Marc S. Williams may publish in the future.

Co-authorship network of co-authors of Marc S. Williams

This figure shows the co-authorship network connecting the top 25 collaborators of Marc S. Williams. A scholar is included among the top collaborators of Marc S. Williams 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 Marc S. Williams. Marc S. Williams 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

Savatt, Juliann M., Melissa Kelly, Amy C. Sturm, et al.. (2025). Genomic Screening at a Single Health System. JAMA Network Open. 8(3). e250917–e250917. 5 indexed citations

Jones, Laney K., H. Lester Kirchner, Yirui Hu, et al.. (2024). Using implementation science to develop a familial hypercholesterolemia screening program in primary care: The CARE-FH study. Journal of clinical lipidology. 18(2). e176–e188. 3 indexed citations

Gidding, Samuel S., H. Lester Kirchner, William H. Howard, et al.. (2023). Yield of Familial Hypercholesterolemia Genetic and Phenotypic Diagnoses After Electronic Health Record and Genomic Data Screening. Journal of the American Heart Association. 12(13). e030073–e030073. 7 indexed citations

Schwartz, M., Amy C. Sturm, Melissa Kelly, et al.. (2023). Evaluation of Malignant Hyperthermia Features in Patients with Pathogenic or Likely Pathogenic RYR1 Variants Disclosed through a Population Genomic Screening Program. Anesthesiology. 140(1). 52–61. 6 indexed citations

Rocha, Heather, Juliann M. Savatt, David L. Diehl, et al.. (2023). Low adenoma burden in unselected patients with a pathogenic APC variant. Genetics in Medicine. 25(12). 100949–100949. 1 indexed citations

Jones, Laney K., Marc S. Williams, Ilene Ladd, et al.. (2022). Collaborative Approach to Reach Everyone with Familial Hypercholesterolemia: CARE-FH Protocol. Journal of Personalized Medicine. 12(4). 606–606. 9 indexed citations

Jones, Laney K., Nan Chen, Dustin N. Hartzel, et al.. (2022). Impact of a Population Genomic Screening Program on Health Behaviors Related to Familial Hypercholesterolemia Risk Reduction. Circulation Genomic and Precision Medicine. 15(5). e003549–e003549. 3 indexed citations

Rahm, Alanna Kulchak, Nephi Walton, Thomas N. Person, et al.. (2021). User testing of a diagnostic decision support system with machine-assisted chart review to facilitate clinical genomic diagnosis. BMJ Health & Care Informatics. 28(1). e100331–e100331. 7 indexed citations

Yuliwulandari, Rika, Jae Gook Shin, Erna Kristin, et al.. (2021). Cost-effectiveness analysis of genotyping for HLA-B*15:02 in Indonesian patients with epilepsy using a generic model. The Pharmacogenomics Journal. 21(4). 476–483. 11 indexed citations

10.

Williams, Marc S., et al.. (2021). Atypical presentation of a vertical penile fracture. BMJ Case Reports. 14(6). e243353–e243353. 1 indexed citations

11.

Williams, Marc S., et al.. (2020). Exome-Wide Analysis of the DiscovEHR Cohort Reveals Novel Candidate Pharmacogenomic Variants for Clinical Pharmacogenomics. Genes. 11(5). 561–561. 4 indexed citations

12.

Nouhaud, François‐Xavier, Marc S. Williams, William Yaxley, et al.. (2020). Robot-assisted orthotopic “W” ileal neobladder in male patients: step-by-step video-illustrated technique and preliminary outcomes. Journal of Robotic Surgery. 14(5). 739–744. 2 indexed citations

13.

Peissig, Peggy, Catherine A. McCarty, Jennifer A. Pacheco, et al.. (2017). Prototype Development: Context-Driven Dynamic XML Ophthalmologic Data Capture Application. JMIR Medical Informatics. 5(3). e27–e27. 2 indexed citations

14.

Overby, Casey Lynnette, John J. Connolly, Christopher G. Chute, et al.. (2016). Practical considerations for implementing genomic information resources. Applied Clinical Informatics. 7(3). 870–882. 22 indexed citations

15.

Beitelshees, Amber L., James J. Cimino, Guilherme Del Fiol, et al.. (2016). User-centered design of multi-gene sequencing panel reports for clinicians. Journal of Biomedical Informatics. 63. 1–10. 15 indexed citations

16.

Ledbetter, David H., et al.. (2014). Implementation of genomic medicine in a health care delivery system: A value proposition?. American Journal of Medical Genetics Part C Seminars in Medical Genetics. 166(1). 112–116. 12 indexed citations

17.

Scholte, Jan Aart, Kerstin Martens, Alnoor Ebrahim, et al.. (2011). Building Global Democracy?. Cambridge University Press eBooks. 116 indexed citations

18.

O’Leary, James, et al.. (2011). Community-Centered Family Health History: A Customized Approach to Increased Health Communication and Awareness. Progress in community health partnerships. 5(2). 113–122. 18 indexed citations

19.

Taylor, David P., Lisa Cannon‐Albright, Carol Sweeney, et al.. (2011). Comparison of compliance for colorectal cancer screening and surveillance by colonoscopy based on risk. Genetics in Medicine. 13(8). 737–743. 56 indexed citations

20.

Lubin, Ira M., Margaret M. McGovern, Susan J. Gross, et al.. (2009). Clinician Perspectives about Molecular Genetic Testing for Heritable Conditions and Development of a Clinician-Friendly Laboratory Report. Journal of Molecular Diagnostics. 11(2). 162–171. 41 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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