Sarah E. Brnich

977 total citations · 1 hit paper
6 papers, 471 citations indexed

About

Sarah E. Brnich is a scholar working on Genetics, Cancer Research and Molecular Biology. According to data from OpenAlex, Sarah E. Brnich has authored 6 papers receiving a total of 471 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Genetics, 4 papers in Cancer Research and 2 papers in Molecular Biology. Recurrent topics in Sarah E. Brnich's work include Genomics and Rare Diseases (6 papers), Cancer Genomics and Diagnostics (4 papers) and Genetic Associations and Epidemiology (3 papers). Sarah E. Brnich is often cited by papers focused on Genomics and Rare Diseases (6 papers), Cancer Genomics and Diagnostics (4 papers) and Genetic Associations and Epidemiology (3 papers). Sarah E. Brnich collaborates with scholars based in United States, Australia and United Arab Emirates. Sarah E. Brnich's co-authors include Jonathan S. Berg, Shannon McNulty, Dona Kanavy, Lea M. Starita, Christopher D. Heinen, Xi Luo, Fergus J. Couch, Steven M. Harrison, Leslie G. Biesecker and Matt W. Wright and has published in prestigious journals such as Human Mutation, Genetics in Medicine and Genome Medicine.

In The Last Decade

Sarah E. Brnich

6 papers receiving 470 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 application of the functional evidence PS3/BS3 criterion using the ACMG/AMP sequence variant interpretation framework

2019 310 citations Sarah E. Brnich, Ahmad Abou Tayoun et al. Genome Medicine profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Sarah E. Brnich United States	5	302	281	79	55	40	6	471
Janine Meienberg Switzerland	9	327 1.1×	219 0.8×	94 1.2×	41 0.7×	41 1.0×	12	512
Masakazu Kohda Japan	14	146 0.5×	515 1.8×	67 0.8×	47 0.9×	31 0.8×	36	725
Daniela Macaya United States	7	158 0.5×	256 0.9×	56 0.7×	39 0.7×	104 2.6×	12	440
Ian Berry United Kingdom	11	192 0.6×	226 0.8×	53 0.7×	48 0.9×	17 0.4×	24	370
Annemieke H. van der Hout Netherlands	8	223 0.7×	227 0.8×	88 1.1×	33 0.6×	110 2.8×	13	451
Johanna C. Herkert Netherlands	12	156 0.5×	194 0.7×	43 0.5×	74 1.3×	160 4.0×	16	432
Chengcheng Mou United States	3	183 0.6×	193 0.7×	58 0.7×	19 0.3×	14 0.3×	5	314
Suna Önengüt United States	11	120 0.4×	396 1.4×	88 1.1×	37 0.7×	31 0.8×	11	551
Amy Knight Johnson United States	12	164 0.5×	196 0.7×	67 0.8×	15 0.3×	13 0.3×	16	396
Louise A. Stephen United Kingdom	10	120 0.4×	229 0.8×	60 0.8×	17 0.3×	12 0.3×	23	349

Countries citing papers authored by Sarah E. Brnich

Since Specialization

Citations

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

Fields of papers citing papers by Sarah E. Brnich

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Sarah E. Brnich. 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 Sarah E. Brnich. The network helps show where Sarah E. Brnich may publish in the future.

Co-authorship network of co-authors of Sarah E. Brnich

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

All Works

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6 of 6 papers shown

1.

Brnich, Sarah E., et al.. (2021). A Validated Functional Analysis of Partner and Localizer of BRCA2 Missense Variants for Use in Clinical Variant Interpretation. Journal of Molecular Diagnostics. 23(7). 847–864. 1 indexed citations

2.

Kanavy, Dona, Shannon McNulty, Sarah E. Brnich, et al.. (2019). Comparative analysis of functional assay evidence use by ClinGen Variant Curation Expert Panels. Genome Medicine. 11(1). 77–77. 33 indexed citations

3.

Gelman, Hannah, Jennifer N. Dines, Jonathan S. Berg, et al.. (2019). Recommendations for the collection and use of multiplexed functional data for clinical variant interpretation. Genome Medicine. 11(1). 85–85. 48 indexed citations

4.

Brnich, Sarah E., Ahmad Abou Tayoun, Fergus J. Couch, et al.. (2019). Recommendations for application of the functional evidence PS3/BS3 criterion using the ACMG/AMP sequence variant interpretation framework. Genome Medicine. 12(1). 3–3. 310 indexed citations breakdown →

5.

Strande, Natasha T., Sarah E. Brnich, Tamara S. Roman, & Jonathan S. Berg. (2018). Navigating the nuances of clinical sequence variant interpretation in Mendelian disease. Genetics in Medicine. 20(9). 918–926. 34 indexed citations

6.

Brnich, Sarah E., E. Andres Rivera-Munoz, & Jonathan S. Berg. (2018). Quantifying the potential of functional evidence to reclassify variants of uncertain significance in the categorical and Bayesian interpretation frameworks. Human Mutation. 39(11). 1531–1541. 45 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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