Camille L. Birch

1.7k total citations
8 papers, 96 citations indexed

About

Camille L. Birch is a scholar working on Cardiology and Cardiovascular Medicine, Molecular Biology and Genetics. According to data from OpenAlex, Camille L. Birch has authored 8 papers receiving a total of 96 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Cardiology and Cardiovascular Medicine, 3 papers in Molecular Biology and 3 papers in Genetics. Recurrent topics in Camille L. Birch's work include Genomics and Rare Diseases (3 papers), Cardiomyopathy and Myosin Studies (3 papers) and Cardiovascular Function and Risk Factors (3 papers). Camille L. Birch is often cited by papers focused on Genomics and Rare Diseases (3 papers), Cardiomyopathy and Myosin Studies (3 papers) and Cardiovascular Function and Risk Factors (3 papers). Camille L. Birch collaborates with scholars based in United States and Netherlands. Camille L. Birch's co-authors include John P. Konhilas, Lin Yang, Coen A. C. Ottenheijm, Danielle Buck, Frank Li, Michael W. Lawlor, Hui Meng, John E. Smith, Justin Kolb and Rebecca Slater and has published in prestigious journals such as Biophysical Journal, Human Molecular Genetics and Archives of Biochemistry and Biophysics.

In The Last Decade

Camille L. Birch

8 papers receiving 95 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Camille L. Birch United States 6 59 52 21 15 10 8 96
Dao Wu Wang China 6 77 1.3× 102 2.0× 16 0.8× 15 1.0× 2 0.2× 11 150
Andrea Gangfuß Germany 6 51 0.9× 15 0.3× 14 0.7× 12 0.8× 17 1.7× 23 84
Joseph McIntosh United States 5 76 1.3× 23 0.4× 6 0.3× 17 1.1× 15 1.5× 20 136
Angela C. Tai United States 4 118 2.0× 138 2.7× 9 0.4× 21 1.4× 4 0.4× 7 198
Tim Kerr United Kingdom 4 93 1.6× 15 0.3× 4 0.2× 18 1.2× 14 1.4× 4 124
Yemeserach Bishaw United States 5 50 0.8× 80 1.5× 8 0.4× 14 0.9× 6 0.6× 6 108
Ritika Sethi Finland 5 40 0.7× 19 0.4× 38 1.8× 8 0.5× 4 0.4× 5 76
Alizée Dortignac France 4 23 0.4× 15 0.3× 11 0.5× 5 0.3× 8 0.8× 5 83
Caroline Stanasiuk Germany 7 98 1.7× 142 2.7× 56 2.7× 7 0.5× 10 1.0× 9 197
Gary McCullagh United Kingdom 3 67 1.1× 18 0.3× 7 0.3× 9 0.6× 11 1.1× 8 82

Countries citing papers authored by Camille L. Birch

Since Specialization
Citations

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

Fields of papers citing papers by Camille L. Birch

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Camille L. Birch. 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 Camille L. Birch. The network helps show where Camille L. Birch may publish in the future.

Co-authorship network of co-authors of Camille L. Birch

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

All Works

8 of 8 papers shown
1.
Samani, Adrienne, Michael A. Lopez, Camille L. Birch, et al.. (2022). DOCKopathies: A systematic review of the clinical pathologies associated with human DOCK pathogenic variants. Human Mutation. 43(9). 1149–1161. 7 indexed citations
2.
Brown, Donna M., Camille L. Birch, Jarred Younger, & Elizabeth A. Worthey. (2021). ME/CFS: whole genome sequencing uncovers a misclassified case of glycogen storage disease type 13 previously diagnosed as ME/CFS. Molecular Genetics and Metabolism. 132. S194–S195. 2 indexed citations
3.
Wilk, Melissa A., Andrew T. Braun, Philip M. Farrell, et al.. (2020). Applying whole-genome sequencing in relation to phenotype and outcomes in siblings with cystic fibrosis. Molecular Case Studies. 6(1). a004531–a004531. 9 indexed citations
4.
Holt, James, Brandon Wilk, Camille L. Birch, et al.. (2019). VarSight: prioritizing clinically reported variants with binary classification algorithms. BMC Bioinformatics. 20(1). 496–496. 11 indexed citations
5.
Danilo, Christiane, et al.. (2016). Liver Kinase B1 complex acts as a novel modifier of myofilament function and localizes to the Z-disk in cardiac myocytes. Archives of Biochemistry and Biophysics. 601. 32–41. 1 indexed citations
6.
Birch, Camille L., et al.. (2016). Sex dimorphisms of crossbridge cycling kinetics in transgenic hypertrophic cardiomyopathy mice. American Journal of Physiology-Heart and Circulatory Physiology. 311(1). H125–H136. 5 indexed citations
7.
Birch, Camille L., et al.. (2015). LKB1/Mo25/STRAD Uniquely Impacts Sarcomeric Contractile Function and Posttranslational Modification. Biophysical Journal. 108(6). 1484–1494. 10 indexed citations
8.
Li, Frank, Danielle Buck, Justin Kolb, et al.. (2015). Nebulin deficiency in adult muscle causes sarcomere defects and muscle-type-dependent changes in trophicity: novel insights in nemaline myopathy. Human Molecular Genetics. 24(18). 5219–5233. 51 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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