Elizabeth Litkowski

2.6k total citations
13 papers, 75 citations indexed

About

Elizabeth Litkowski is a scholar working on Molecular Biology, Endocrinology, Diabetes and Metabolism and Pediatrics, Perinatology and Child Health. According to data from OpenAlex, Elizabeth Litkowski has authored 13 papers receiving a total of 75 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Molecular Biology, 4 papers in Endocrinology, Diabetes and Metabolism and 3 papers in Pediatrics, Perinatology and Child Health. Recurrent topics in Elizabeth Litkowski's work include Bioinformatics and Genomic Networks (4 papers), Birth, Development, and Health (3 papers) and Diet, Metabolism, and Disease (3 papers). Elizabeth Litkowski is often cited by papers focused on Bioinformatics and Genomic Networks (4 papers), Birth, Development, and Health (3 papers) and Diet, Metabolism, and Disease (3 papers). Elizabeth Litkowski collaborates with scholars based in United States and United Kingdom. Elizabeth Litkowski's co-authors include Ethan M. Lange, Leslie A. Lange, Dana Dabelea, Maggie A. Stanislawski, Sridharan Raghavan, Jessica R. Shaw, Katerina Kechris, Jill M. Norris, Lawrence S. Phillips and Tim Vigers and has published in prestigious journals such as Bioinformatics, PLoS ONE and The Journal of Clinical Endocrinology & Metabolism.

In The Last Decade

Elizabeth Litkowski

12 papers receiving 74 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Elizabeth Litkowski United States	6	21	20	19	14	14	13	75
Ronald Kingsley United States	8	33 1.6×	43 2.1×	12 0.6×	6 0.4×	15 1.1×	14	229
Zhanna Balkhiyarova United Kingdom	4	33 1.6×	17 0.8×	14 0.7×	19 1.4×	17 1.2×	4	92
Myint Myint Aye United Kingdom	7	29 1.4×	27 1.4×	18 0.9×	20 1.4×	3 0.2×	20	131
Suraj S. Nongmaithem India	4	26 1.2×	10 0.5×	15 0.8×	10 0.7×	37 2.6×	5	108
Marco Crocco Italy	6	17 0.8×	33 1.6×	21 1.1×	7 0.5×	24 1.7×	20	96
Hanna Romanowska Poland	5	16 0.8×	7 0.3×	8 0.4×	29 2.1×	17 1.2×	19	94
Pranav Yajnik United States	3	23 1.1×	10 0.5×	6 0.3×	30 2.1×	9 0.6×	4	75
Pim van der Harst Netherlands	3	44 2.1×	21 1.1×	16 0.8×	7 0.5×	28 2.0×	7	93
Jennifer C. Kelley United States	5	14 0.7×	20 1.0×	15 0.8×	21 1.5×	21 1.5×	9	85
Barbara Buday Hungary	4	21 1.0×	20 1.0×	21 1.1×	16 1.1×	3 0.2×	8	76

Countries citing papers authored by Elizabeth Litkowski

Since Specialization

Citations

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

Fields of papers citing papers by Elizabeth Litkowski

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Elizabeth Litkowski

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

All Works

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13 of 13 papers shown

Glueck, Deborah H., Qian Li, Elizabeth Litkowski, et al.. (2025). Power and sample size for reversible linear mixed models with clustering and longitudinality: GLIMMPSE Version 3. PLoS ONE. 20(9). e0329712–e0329712.

Harrall, Kylie K., Deborah H. Glueck, Leslie A. Lange, et al.. (2025). GLP-1R Polymorphisms Modify the Relationship Between Exposure to Gestational Diabetes Mellitus and Offspring BMI Growth: The EPOCH Study. Diabetes Care. 48(7). 1280–1287. 1 indexed citations

Harrall, Kylie K., Deborah H. Glueck, Leslie A. Lange, et al.. (2024). GLP-1R Gene Polymorphisms and Metabolic Traits During Childhood and Adolescence: The EPOCH Study. The Journal of Clinical Endocrinology & Metabolism. 110(9). e3031–e3040. 1 indexed citations

Konigsberg, Iain R., W. M. Liu, Elizabeth Litkowski, et al.. (2024). Proteomic networks and related genetic variants associated with smoking and chronic obstructive pulmonary disease. BMC Genomics. 25(1). 825–825. 1 indexed citations

Litkowski, Elizabeth, Mark W. Logue, Rui Zhang, et al.. (2023). Mendelian randomization study of diabetes and dementia in the Million Veteran Program. Alzheimer s & Dementia. 19(10). 4367–4376. 16 indexed citations

Hill, Emily B., Iain R. Konigsberg, Diana Ir, et al.. (2023). The Microbiome, Epigenome, and Diet in Adults with Obesity during Behavioral Weight Loss. Nutrients. 15(16). 3588–3588. 6 indexed citations

Carry, Patrick M., Tim Vigers, Lauren A. Vanderlinden, et al.. (2023). Propensity scores as a novel method to guide sample allocation and minimize batch effects during the design of high throughput experiments. BMC Bioinformatics. 24(1). 86–86. 3 indexed citations

Litkowski, Elizabeth, Katherine Pratte, Leslie A. Lange, et al.. (2022). NetSHy: network summarization via a hybrid approach leveraging topological properties. Bioinformatics. 39(1). 3 indexed citations

Litkowski, Elizabeth, Mark W. Logue, Rui Zhang, et al.. (2022). A Diabetes Genetic Risk Score Is Associated With All-Cause Dementia and Clinically Diagnosed Vascular Dementia in the Million Veteran Program. Diabetes Care. 45(11). 2544–2552. 7 indexed citations

10.

Arbet, Jaron, et al.. (2021). Comparing Statistical Tests for Differential Network Analysis of Gene Modules. Frontiers in Genetics. 12. 630215–630215. 3 indexed citations

11.

Stanislawski, Maggie A., Elizabeth Litkowski, Sridharan Raghavan, et al.. (2021). Genetic Risk Score for Type 2 Diabetes and Traits Related to Glucose-Insulin Homeostasis in Youth: The Exploring Perinatal Outcomes Among Children (EPOCH) Study. Diabetes Care. 44(9). 2018–2024. 11 indexed citations

12.

Carry, Patrick M., Lauren A. Vanderlinden, Fran Dong, et al.. (2021). Inverse probability weighting is an effective method to address selection bias during the analysis of high dimensional data. Genetic Epidemiology. 45(6). 593–603. 10 indexed citations

13.

Stanislawski, Maggie A., Jessica R. Shaw, Elizabeth Litkowski, et al.. (2020). Genetic Risk for Hepatic Fat among an Ethnically Diverse Cohort of Youth: The Exploring Perinatal Outcomes among Children Study. The Journal of Pediatrics. 220. 146–153.e2. 13 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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