Mark A. Umbarger

504 total citations
10 papers, 376 citations indexed

About

Mark A. Umbarger is a scholar working on Genetics, Molecular Biology and Pediatrics, Perinatology and Child Health. According to data from OpenAlex, Mark A. Umbarger has authored 10 papers receiving a total of 376 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Genetics, 4 papers in Molecular Biology and 4 papers in Pediatrics, Perinatology and Child Health. Recurrent topics in Mark A. Umbarger's work include Prenatal Screening and Diagnostics (4 papers), Genomic variations and chromosomal abnormalities (4 papers) and Cystic Fibrosis Research Advances (3 papers). Mark A. Umbarger is often cited by papers focused on Prenatal Screening and Diagnostics (4 papers), Genomic variations and chromosomal abnormalities (4 papers) and Cystic Fibrosis Research Advances (3 papers). Mark A. Umbarger collaborates with scholars based in United States and Spain. Mark A. Umbarger's co-authors include Christopher H. Wade, Michael A. McAlear, Gregory J. Porreca, George M. Church, Matthew A. Wright, Lihua Julie Zhu, Sun‐Hae Hong, Job Dekker, Davide Baù and Harley H. McAdams and has published in prestigious journals such as Molecular Cell, Fertility and Sterility and Methods.

In The Last Decade

Mark A. Umbarger

10 papers receiving 372 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Mark A. Umbarger United States	6	278	157	70	45	43	10	376
J. Horst Germany	10	164 0.6×	126 0.8×	44 0.6×	59 1.3×	12 0.3×	23	329
Cristina E. Requena United Kingdom	11	432 1.6×	125 0.8×	11 0.2×	53 1.2×	11 0.3×	11	541
Chandana Barat India	9	366 1.3×	100 0.6×	44 0.6×	25 0.6×	58 1.3×	13	426
C. T. Caskey United States	5	226 0.8×	179 1.1×	15 0.2×	10 0.2×	53 1.2×	8	335
S Kang South Korea	10	306 1.1×	83 0.5×	34 0.5×	10 0.2×	10 0.2×	17	392
Garrett Edwards United States	8	232 0.8×	32 0.2×	56 0.8×	69 1.5×	10 0.2×	9	305
Xiaofei Ge China	6	193 0.7×	187 1.2×	39 0.6×	10 0.2×	8 0.2×	10	312
Amir Amiri‐Yekta Iran	13	234 0.8×	264 1.7×	7 0.1×	20 0.4×	16 0.4×	31	558
Esther Grueso Spain	11	199 0.7×	159 1.0×	19 0.3×	37 0.8×	6 0.1×	16	352
Sanjit Pandey United States	11	230 0.8×	52 0.3×	10 0.1×	35 0.8×	14 0.3×	14	362

Countries citing papers authored by Mark A. Umbarger

Since Specialization

Citations

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

Fields of papers citing papers by Mark A. Umbarger

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mark A. Umbarger

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

All Works

Sort: Min cites: Since: Top N: Style:

10 of 10 papers shown

Umbarger, Mark A., et al.. (2017). Targeted next generation sequencing-based pgs can enable detection of uniparental isodisomy, familial relationships, and polyploidy. Fertility and Sterility. 108(3). e270–e270. 1 indexed citations

Faulkner, Nicole, et al.. (2017). Validation of a novel copy number variant detection algorithm for CFTR from targeted next generation sequencing data. Fertility and Sterility. 108(3). e269–e269. 3 indexed citations

Umbarger, Mark A., et al.. (2016). Accurate detection of segmental aneuploidy in preimplantation genetic screening using targeted next-generation DNA sequencing. Fertility and Sterility. 106(3). e152–e152. 2 indexed citations

Kaplan, B., et al.. (2016). Analytical validation of a novel next-generation sequencing based preimplantation genetic screening technology. Fertility and Sterility. 105(2). e25–e25. 3 indexed citations

Hallam, Stephanie, Heather H. Nelson, Valerie Greger, et al.. (2014). Validation for Clinical Use of, and Initial Clinical Experience with, a Novel Approach to Population-Based Carrier Screening using High-Throughput, Next-Generation DNA Sequencing. Journal of Molecular Diagnostics. 16(2). 180–189. 31 indexed citations

Umbarger, Mark A., Caleb J. Kennedy, Niru Chennagiri, et al.. (2013). Next-generation carrier screening. Genetics in Medicine. 16(2). 132–140. 30 indexed citations

Hoffman, Jodi D., Valerie Greger, Erin T. Strovel, et al.. (2013). Next‐generation DNA sequencing of HEXA: a step in the right direction for carrier screening. Molecular Genetics & Genomic Medicine. 1(4). 260–268. 19 indexed citations

Umbarger, Mark A.. (2012). Chromosome conformation capture assays in bacteria. Methods. 58(3). 212–220. 6 indexed citations

Umbarger, Mark A., Esteban Toro, Matthew A. Wright, et al.. (2011). The Three-Dimensional Architecture of a Bacterial Genome and Its Alteration by Genetic Perturbation. Molecular Cell. 44(2). 252–264. 202 indexed citations

10.

Wade, Christopher H., Mark A. Umbarger, & Michael A. McAlear. (2006). The budding yeast rRNA and ribosome biosynthesis (RRB) regulon contains over 200 genes. Yeast. 23(4). 293–306. 79 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.

Explore authors with similar magnitude of impact