C. Sue Richards

6.5k total citations · 4 hit papers
45 papers, 3.8k citations indexed

About

C. Sue Richards is a scholar working on Genetics, Molecular Biology and Cellular and Molecular Neuroscience. According to data from OpenAlex, C. Sue Richards has authored 45 papers receiving a total of 3.8k indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Genetics, 16 papers in Molecular Biology and 11 papers in Cellular and Molecular Neuroscience. Recurrent topics in C. Sue Richards's work include Genomics and Rare Diseases (13 papers), Genetic Neurodegenerative Diseases (10 papers) and Genetic factors in colorectal cancer (8 papers). C. Sue Richards is often cited by papers focused on Genomics and Rare Diseases (13 papers), Genetic Neurodegenerative Diseases (10 papers) and Genetic factors in colorectal cancer (8 papers). C. Sue Richards collaborates with scholars based in United States, Canada and Poland. C. Sue Richards's co-authors include Sherri J. Bale, Michael S. Watson, Wayne W. Grody, David T. Miller, Wendy K. Chung, Christa Lese Martin, Teri E. Klein, Kent D. McKelvey, Gail E. Herman and Christopher N. Vlangos and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Genetics and Neurology.

In The Last Decade

C. Sue Richards

45 papers receiving 3.7k 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.

Recommendations for reporting of secondary findings in clinical exome and genome sequencing, 2016 update (ACMG SF v2.0): a policy statement of the American College of Medical Genetics and Genomics

2016 1.0k citations Sarah S. Kalia, Sherri J. Bale et al. Genetics in Medicine profile →
ACMG recommendations for standards for interpretation and reporting of sequence variations: Revisions 2007

2008 569 citations C. Sue Richards, Sherri J. Bale et al. Genetics in Medicine profile →
ACMG SF v3.0 list for reporting of secondary findings in clinical exome and genome sequencing: a policy statement of the American College of Medical Genetics and Genomics (ACMG)

2021 302 citations David T. Miller, Kristy Lee et al. Genetics in Medicine profile →
ACMG SF v3.2 list for reporting of secondary findings in clinical exome and genome sequencing: A policy statement of the American College of Medical Genetics and Genomics (ACMG)

2023 157 citations David T. Miller, Kristy Lee et al. Genetics in Medicine profile →

Peers

C. Sue Richards

GENET

CMN

PRM

Kenjiro Kosaki Japan

John R.W. Yates United Kingdom

Jean‐François Deleuze France

Erik A. Sistermans Netherlands

Bernhard Korn Germany

Peter Ainsworth Canada

Marc De Braekeleer France

Alexandre Montpetit Canada

Vandana Shashi United States

Hülya Kayserili Türkiye

Kenjiro Kosaki Japan

C. Sue Richards

1.8k ×0.9

GENET

2.7k ×2.0

276 ×0.6

239 ×0.5

CMN

565 ×1.3

PRM

Citations per year, relative to C. Sue Richards C. Sue Richards (= 1×) peers Kenjiro Kosaki

Countries citing papers authored by C. Sue Richards

Since Specialization

Citations

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

Fields of papers citing papers by C. Sue Richards

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by C. Sue Richards. 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 C. Sue Richards. The network helps show where C. Sue Richards may publish in the future.

Co-authorship network of co-authors of C. Sue Richards

This figure shows the co-authorship network connecting the top 25 collaborators of C. Sue Richards. A scholar is included among the top collaborators of C. Sue Richards 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 C. Sue Richards. C. Sue Richards 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

Lee, Kristy, Noura S. Abul‐Husn, Laura M. Amendola, et al.. (2025). ACMG SF v3.3 list for reporting of secondary findings in clinical exome and genome sequencing: A policy statement of the American College of Medical Genetics and Genomics (ACMG). Genetics in Medicine. 27(8). 101454–101454. 6 indexed citations

Gordon, Allan, Kristy Lee, Noura S. Abul‐Husn, et al.. (2024). Consideration of disease penetrance in the selection of secondary findings gene-disease pairs: A policy statement of the American College of Medical Genetics and Genomics (ACMG). Genetics in Medicine. 26(7). 101142–101142. 8 indexed citations

Lyon, Elaine, Robyn Temple‐Smolkin, Madhuri Hegde, et al.. (2022). An Educational Assessment of Evidence Used for Variant Classification. Journal of Molecular Diagnostics. 24(6). 555–565. 4 indexed citations

Miller, David T., Kristy Lee, Allan Gordon, et al.. (2021). Recommendations for reporting of secondary findings in clinical exome and genome sequencing, 2021 update: a policy statement of the American College of Medical Genetics and Genomics (ACMG). Genetics in Medicine. 23(8). 1391–1398. 142 indexed citations

Rope, Alan F., Tia L. Kauffman, Laura M. Amendola, et al.. (2018). A case for expanding carrier testing to include actionable X‐linked disorders. Clinical Case Reports. 6(11). 2092–2095. 2 indexed citations

Kalia, Sarah S., Sherri J. Bale, Wendy K. Chung, et al.. (2016). Recommendations for reporting of secondary findings in clinical exome and genome sequencing, 2016 update (ACMG SF v2.0): a policy statement of the American College of Medical Genetics and Genomics. Genetics in Medicine. 19(2). 249–255. 1023 indexed citations breakdown →

Lyon, Elaine, Iris Schrijver, Karen E. Weck, et al.. (2014). Molecular genetic testing for cystic fibrosis: laboratory performance on the College of American Pathologists external proficiency surveys. Genetics in Medicine. 17(3). 219–225. 9 indexed citations

Monaghan, Kristin G., Judith Benkendorf, Athena M. Cherry, et al.. (2013). Risk categorization for oversight of laboratory-developed tests for inherited conditions. Genetics in Medicine. 15(4). 314–315. 11 indexed citations

Palomaki, Glenn E. & C. Sue Richards. (2012). Assessing the analytic validity of molecular testing for Huntington disease using data from an external proficiency testing survey. Genetics in Medicine. 14(1). 69–75. 13 indexed citations

10.

Kalman, Lisa V., Monique Johnson, Jeanne C. Beck, et al.. (2007). Development of genomic reference materials for Huntington disease genetic testing. Genetics in Medicine. 9(10). 719–723. 16 indexed citations

11.

Spector, Elaine, Wayne W. Grody, Glenn E. Palomaki, et al.. (2005). Technical standards and guidelines: Venous thromboembolism (Factor V Leiden and prothrombin 20210G>A testing): A disease-specific supplement to the standards and guidelines for clinical genetics laboratories. Genetics in Medicine. 7(6). 444–453. 33 indexed citations

12.

Watson, Michael S., Garry R. Cutting, Robert J. Desnick, et al.. (2004). Cystic fibrosis population carrier screening: 2004 revision of American College of Medical Genetics mutation panel. Genetics in Medicine. 6(5). 387–391. 315 indexed citations

13.

Palomaki, Glenn E., Linda Bradley, C. Sue Richards, & James E. Haddow. (2003). Analytic validity of cystic fibrosis testing: A preliminary estimate. Genetics in Medicine. 5(1). 15–20. 19 indexed citations

14.

Hegde, Madhuri, Richard A. Lewis, & C. Sue Richards. (2002). Diagnostic DNA Testing for X-Linked Ocular Albinism ( OA1 ) with a Hierarchical Mutation Screening Protocol. Genetic Testing. 6(1). 7–14. 7 indexed citations

15.

Wu, Guohao, Wei Wu, Madhuri Hegde, et al.. (2001). Detection of Sequence Variations in the Adenomatous Polyposis Coli ( APC ) Gene Using Denaturing High-Performance Liquid Chromatography. Genetic Testing. 5(4). 281–290. 30 indexed citations

16.

Roa, Benjamin B., et al.. (1999). Ashkenazi Jewish Population Frequency of the Bloom Syndrome Gene 2281Δ6ins7 Mutation. Genetic Testing. 3(2). 219–221. 26 indexed citations

17.

Gunaratne, Preethi H. & C. Sue Richards. (1997). Estimated Contribution of Known Ataxia Genes in Ataxia Patients Undergoing DNA Testing. Genetic Testing. 1(4). 275–278. 3 indexed citations

18.

Demarchi, J, C. Thomas Caskey, & C. Sue Richards. (1996). Population-specific screening by mutation analysis for diseases frequent in Ashkenazi Jews. Human Mutation. 8(2). 116–125. 22 indexed citations

19.

Alford, Raye Lynn, Tetsuo Ashizawa, Joseph Jankovic, C. Thomas Caskey, & C. Sue Richards. (1996). Molecular detection of new mutations, resolution of ambiguous results and complex genetic counseling issues in Huntington disease. American Journal of Medical Genetics. 66(3). 281–286. 7 indexed citations

20.

McCutchan, Thomas F., Andrew J.G. Simpson, Alan Sher, et al.. (1984). Differentiation of schistosomes by species, strain, and sex by using cloned DNA markers.. Proceedings of the National Academy of Sciences. 81(3). 889–893. 72 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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