Christopher A. Hilker

443 total citations
8 papers, 265 citations indexed

About

Christopher A. Hilker is a scholar working on Genetics, Molecular Biology and Genetics. According to data from OpenAlex, Christopher A. Hilker has authored 8 papers receiving a total of 265 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Genetics, 3 papers in Molecular Biology and 2 papers in Genetics. Recurrent topics in Christopher A. Hilker's work include Hemoglobinopathies and Related Disorders (2 papers), Iron Metabolism and Disorders (2 papers) and Genomics and Rare Diseases (1 paper). Christopher A. Hilker is often cited by papers focused on Hemoglobinopathies and Related Disorders (2 papers), Iron Metabolism and Disorders (2 papers) and Genomics and Rare Diseases (1 paper). Christopher A. Hilker collaborates with scholars based in United States, Portugal and Canada. Christopher A. Hilker's co-authors include Julie M. Cunningham, Daniel J. Schaid, Regenia L. Smalley, Stephen N. Thibodeau, Scott J. Hebbring, Michael L. Blute, Jennifer Guenther, Carsten Rosenow, Susan L. Slager and Shannon K. McDonnell and has published in prestigious journals such as Blood, Cancer Research and The American Journal of Human Genetics.

In The Last Decade

Christopher A. Hilker

8 papers receiving 261 citations

Peers

Countries citing papers authored by Christopher A. Hilker

Since Specialization

Citations

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

Fields of papers citing papers by Christopher A. Hilker

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Christopher A. Hilker. 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 Christopher A. Hilker. The network helps show where Christopher A. Hilker may publish in the future.

Co-authorship network of co-authors of Christopher A. Hilker

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

All Works

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8 of 8 papers shown

#	Work	Indexed citations
1	Improved Characterization of Complex β-Globin Gene Cluster Structural Variants Using Long-Read Sequencing 2021 ·Journal of Molecular Diagnostics ·(unknown), (unknown), Garrett Jenkinson, (unknown), Ross A. Aleff, Christopher A. Hilker, Joseph H. Blommel, (unknown), (unknown), Patrick A. Lundquist, (unknown), Min Shi, Rong He, David S. Viswanatha, Jin Jen, Eric W. Klee, Benjamin R. Kipp, James D. Hoyer, Eric D. Wieben, Jennifer L. Oliveira	10
2	Long Range Sequencing Shows Improved Resolution in the Detection of Beta Globin Cluster Variants 2019 ·Blood ·(unknown), (unknown), (unknown), (unknown), Christopher A. Hilker, Joseph H. Blommel, (unknown), Jin Jen, Nicole L. Hoppman, Rong He, David S. Viswanatha, Ross A. Aleff, James D. Hoyer, Eric D. Wieben, Eric W. Klee, Benjamin R. Kipp, Jennifer L. Oliveira	1
3	Comparative evaluation of cDNA library construction approaches for RNA-Seq analysis from low RNA-content human specimens 2018 ·Journal of Microbiological Methods ·(unknown), Christopher A. Hilker, Patricio Jeraldo, Aditya Bhagwate, Kerryl E. Greenwood‐Quaintance, Bruce W. Eckloff, Nicholas Chia, Arlen D. Hanssen, Matthew P. Abdel, Janet Yao, Jin Jen, Robin Patel	12
4	DNA Methylation Profiling: Comparison of Genome-Wide Sequencing Methods and the Infinium Human Methylation 450 Bead Chip 2015 ·Epigenomics ·Denise L. Walker, Aditya Bhagwate, Saurabh Baheti, Regenia L. Smalley, Christopher A. Hilker, Zhifu Sun, Julie M. Cunningham	47
5	Linkage analysis of obesity phenotypes in pre- and post-menopausal women from a United States mid-western population 2010 ·BMC Medical Genetics ·Linda E. Kelemen, Elizabeth J. Atkinson, Mariza de Andrade, V. Shane Pankratz, Julie M. Cunningham, Alice Wang, Christopher A. Hilker, Fergus J. Couch, Thomas A. Sellers, Celine M. Vachon	8
6	Evaluation of a new high-dimensional miRNA profiling platform 2009 ·BMC Medical Genomics ·Julie M. Cunningham, Ann L. Oberg, Pedro M. Borralho, Betsy T. Kren, Amy J. French, Liang Wang, Brian M. Bot, Bruce W. Morlan, Kevin A.T. Silverstein, (unknown), Yan Zeng, (unknown), Christopher A. Hilker, Jian-Bing Fan, Clifford J. Steer, Stephen N. Thibodeau	23
7	Strong Evidence of a Genetic Determinant for Mammographic Density, a Major Risk Factor for Breast Cancer 2007 ·Cancer Research ·Celine M. Vachon, Thomas A. Sellers, Erin E. Carlson, Julie M. Cunningham, Christopher A. Hilker, Regenia L. Smalley, Daniel J. Schaid, Linda E. Kelemen, Fergus J. Couch, V. Shane Pankratz	58
8	Comparison of Microsatellites Versus Single-Nucleotide Polymorphisms in a Genome Linkage Screen for Prostate Cancer–Susceptibility Loci 2004 ·The American Journal of Human Genetics ·Daniel J. Schaid, Jennifer Guenther, G. Bryce Christensen, Scott J. Hebbring, Carsten Rosenow, Christopher A. Hilker, Shannon K. McDonnell, Julie M. Cunningham, Susan L. Slager, Michael L. Blute, Stephen N. Thibodeau	106

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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