Elizabeth Litkowski
Impact in
Papers in
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- Bioinformatics and Genomic Networks 2
- Epigenetics and DNA Methylation 1
- Gene expression and cancer classification 1
- Gut microbiota and health 1
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- Liver Disease Diagnosis and Treatment 1
- Co-authors
- Ethan M. Lange (5 shared papers)Leslie A. Lange (5 shared papers)Maggie A. Stanislawski (3 shared papers)Katerina Kechris (5 shared papers)Dana Dabelea (4 shared papers)Jessica R. Shaw (3 shared papers)Sridharan Raghavan (3 shared papers)Wei Perng (3 shared papers)
- Journals
- Diabetes Care (3 papers)Nutrients (1 paper)The Journal of Pediatrics (1 paper)Alzheimer s & Dementia (1 paper)The Journal of Clinical Endocrinology & Metabolism (1 paper)
- Partner nations
- United StatesUnited Kingdom
In The Last Decade
Elizabeth Litkowski
12 papers receiving 81 citations
Peers
Comparison fields: 5 of 35
- Computational Mathematics 1
- Health Informatics 1
- Endocrinology, Diabetes and Metabolism 10
- Epidemiology 16
- Genetics 14
Countries citing papers authored by Elizabeth Litkowski
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
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-authors
The 25 scholars most cited alongside Elizabeth Litkowski, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2023 | 18 | |
| 2 | 2020 | 13 | |
| 3 | 2021 | 11 | |
| 4 | 2021 | 11 | |
| 5 | 2023 | 8 | |
| 6 | 2022 | 7 | |
| 7 | 2024 | 3 | |
| 8 | 2022 | 3 | |
| 9 | 2023 | 3 | |
| 10 | 2021 | 3 | |
| 11 | 2025 | 1 | |
| 12 | 2024 | 1 | |
| 13 | 2025 | 0 |
About Elizabeth Litkowski
Elizabeth Litkowski is a scholar working on Molecular Biology, Epidemiology, Artificial Intelligence, Experimental and Cognitive Psychology and Endocrinology, Diabetes and Metabolism, having authored 13 papers that have together received 82 indexed citations. Recurring topics across this work include Bioinformatics and Genomic Networks (2 papers), Epigenetics and DNA Methylation (1 paper), Gene expression and cancer classification (1 paper), Mental Health Research Topics (1 paper), Liver Disease Diagnosis and Treatment (1 paper), Meta-analysis and systematic reviews (1 paper), Diabetes Treatment and Management (1 paper) and Gut microbiota and health (1 paper). The work is most often cited by research in Computational Mathematics (1 citation), Health Informatics (1 citation), Endocrinology, Diabetes and Metabolism (10 citations), Epidemiology (16 citations) and Genetics (14 citations). Elizabeth Litkowski has collaborated with scholars based in United States and United Kingdom. Frequent co-authors include Ethan M. Lange, Leslie A. Lange, Maggie A. Stanislawski, Katerina Kechris, Dana Dabelea, Jessica R. Shaw, Sridharan Raghavan, Wei Perng, Mark W. Logue and John E. Hokanson. Their work appears in journals such as Diabetes Care, Nutrients, The Journal of Pediatrics, Alzheimer s & Dementia and The Journal of Clinical Endocrinology & Metabolism.
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.