Caitlin McHugh

7.7k total citations
10 papers, 303 citations indexed

About

Caitlin McHugh is a scholar working on Genetics, Molecular Biology and Pediatrics, Perinatology and Child Health. According to data from OpenAlex, Caitlin McHugh has authored 10 papers receiving a total of 303 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Genetics, 2 papers in Molecular Biology and 2 papers in Pediatrics, Perinatology and Child Health. Recurrent topics in Caitlin McHugh's work include Genetic Associations and Epidemiology (2 papers), Research Data Management Practices (2 papers) and Health, Environment, Cognitive Aging (2 papers). Caitlin McHugh is often cited by papers focused on Genetic Associations and Epidemiology (2 papers), Research Data Management Practices (2 papers) and Health, Environment, Cognitive Aging (2 papers). Caitlin McHugh collaborates with scholars based in United States, United Kingdom and Denmark. Caitlin McHugh's co-authors include Cathy C. Laurie, David Levine, Matthew P. Conomos, Stephanie M. Gogarten, Sarah C. Nelson, Ian Painter, Jess Shen, Cecelia Laurie, Xiuwen Zheng and Bruce S. Weir and has published in prestigious journals such as Bioinformatics, Genetics and Frontiers in Neuroscience.

In The Last Decade

Caitlin McHugh

10 papers receiving 294 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Caitlin McHugh United States	7	165	82	68	32	28	10	303
Ioanna Tachmazidou United Kingdom	7	165 1.0×	91 1.1×	30 0.4×	15 0.5×	32 1.1×	11	284
Tanushree Haldar United States	8	177 1.1×	114 1.4×	23 0.3×	35 1.1×	8 0.3×	16	298
Saori Kinoshita Japan	11	96 0.6×	118 1.4×	48 0.7×	22 0.7×	28 1.0×	19	351
S. Krithika India	14	196 1.2×	168 2.0×	18 0.3×	26 0.8×	16 0.6×	30	478
G. Martínez-Cortés Mexico	11	306 1.9×	186 2.3×	23 0.3×	20 0.6×	31 1.1×	30	535
Sandra Deliard United States	10	133 0.8×	200 2.4×	46 0.7×	13 0.4×	10 0.4×	14	373
Karen Lewis United Kingdom	5	187 1.1×	167 2.0×	22 0.3×	19 0.6×	26 0.9×	6	447
John Blangero United States	5	349 2.1×	132 1.6×	25 0.4×	54 1.7×	19 0.7×	5	519
Nam Pho United States	5	95 0.6×	215 2.6×	25 0.4×	34 1.1×	13 0.5×	6	418
Ruud van der Breggen Netherlands	6	63 0.4×	153 1.9×	82 1.2×	9 0.3×	34 1.2×	7	321

Countries citing papers authored by Caitlin McHugh

Since Specialization

Citations

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

Fields of papers citing papers by Caitlin McHugh

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Caitlin McHugh. 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 Caitlin McHugh. The network helps show where Caitlin McHugh may publish in the future.

Co-authorship network of co-authors of Caitlin McHugh

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

All Works

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10 of 10 papers shown

McHugh, Caitlin, et al.. (2025). AD Workbench: Transforming Alzheimer's research with secure, global, and collaborative data sharing and analysis. Alzheimer s & Dementia. 21(5). e70278–e70278. 1 indexed citations

Ritchie, Craig, Kaj Blennow, Juan Domingo Gispert, et al.. (2024). NeuroToolKit Data Hackathon: advancing data collaboration in Alzheimer's disease. Frontiers in Neuroscience. 18. 1339742–1339742. 1 indexed citations

Toga, Arthur W., Ioannis Pappas, Simon Thompson, et al.. (2023). The pursuit of approaches to federate data to accelerate Alzheimer’s disease and related dementia research: GAAIN, DPUK, and ADDI. Frontiers in Neuroinformatics. 17. 1175689–1175689. 9 indexed citations

Bauermeister, Sarah, Lana Sargent, Michael Griswold, et al.. (2023). Evaluating the harmonisation potential of diverse cohort datasets. European Journal of Epidemiology. 38(6). 605–615. 6 indexed citations

Khan, Alyna, Stephanie M. Gogarten, Caitlin McHugh, et al.. (2022). Recommendations on the use and reporting of race, ethnicity, and ancestry in genetic research: Experiences from the NHLBI TOPMed program. Cell Genomics. 2(8). 100155–100155. 49 indexed citations

Taylor, Kimberly E., Quenna Wong, David Levine, et al.. (2017). Genome‐Wide Association Analysis Reveals Genetic Heterogeneity of Sjögren's Syndrome According to Ancestry. Arthritis & Rheumatology. 69(6). 1294–1305. 83 indexed citations

McHugh, Caitlin, Lisa Brown, & Timothy A. Thornton. (2016). Detecting Heterogeneity in Population Structure Across the Genome in Admixed Populations. Genetics. 204(1). 43–56. 8 indexed citations

Gogarten, Stephanie M., Tushar Bhangale, Matthew P. Conomos, et al.. (2012). GWASTools: an R/Bioconductor package for quality control and analysis of genome-wide association studies. Bioinformatics. 28(24). 3329–3331. 123 indexed citations

Zheng, Xiaojing, John R. Shaffer, Caitlin McHugh, et al.. (2012). Using Family Data as a Verification Standard to Evaluate Copy Number Variation Calling Strategies for Genetic Association Studies. Genetic Epidemiology. 36(3). 253–262. 9 indexed citations

10.

McHugh, Caitlin, et al.. (1999). Type 2 diabetes mellitus in Navajo adolescents.. PubMed. 170(4). 210–3. 14 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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