Lenna L. Liu
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- Diabetes Management and Research 6
- Diabetes, Cardiovascular Risks, and Lipoproteins 4
- Pharmacy top 2%
- Obesity and Health Practices 3
- Genetics top 2%
- Diabetes and associated disorders 5
- Speech and Hearing top 2%
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- Obesity, Physical Activity, Diet 11
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- Child and Adolescent Health 3
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- Child Nutrition and Feeding Issues 2
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- Respiratory viral infections research 2
- Co-authors
- Dana DabeleaJean M. LawrenceElizabeth J. Mayer‐DavisAngela D. LieseRichard F. HammanGiuseppina ImperatoreRonny A. BellBarbara Linder
- Partner nations
- United StatesKenya
In The Last Decade
Lenna L. Liu
21 papers receiving 2.6k citations
Hit Papers
Peers
Comparison fields: 5 of 121
- Endocrinology, Diabetes and Metabolism 1.5k
- Pharmacy 161
- Genetics 787
- Speech and Hearing 151
- Public Health, Environmental and Occupational Health 599
Countries citing papers authored by Lenna L. Liu
This map shows the geographic impact of Lenna L. Liu'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 Lenna L. Liu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lenna L. Liu more than expected).
Fields of papers citing papers by Lenna L. Liu
This network shows the impact of papers produced by Lenna L. Liu. 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 Lenna L. Liu. The network helps show where Lenna L. Liu may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Lenna L. Liu, 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 | 2019 | 6 | |
| 2 | 2018 | 49 | |
| 3 | 2016 | 5 | |
| 4 | 2014 | 17 | |
| 5 | Prevalence of Type 1 and Type 2 Diabetes Among Children and Adolescents From 2001 to 2009breakdown → | 2014 | 1036 |
| 6 | 2013 | 43 | |
| 7 | 2012 | 106 | |
| 8 | 2012 | 350 | |
| 9 | 2012 | 7 | |
| 10 | 2011 | 2 | |
| 11 | 2009 | 288 | |
| 12 | 2009 | 29 | |
| 13 | 2009 | 161 | |
| 14 | 2009 | 92 | |
| 15 | 2006 | 30 | |
| 16 | 2004 | 108 | |
| 17 | 2000 | 36 | |
| 18 | 1999 | 49 | |
| 19 | 1997 | 89 | |
| 20 | 1994 | 22 |
About Lenna L. Liu
Lenna L. Liu is a scholar working on Pharmacy, Endocrinology, Diabetes and Metabolism and Public Health, Environmental and Occupational Health, having authored 22 papers that have together received 2.7k indexed citations. Recurring topics across this work include Obesity, Physical Activity, Diet (11 papers), Diabetes Management and Research (6 papers), Diabetes and associated disorders (5 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (4 papers), Child and Adolescent Health (3 papers), Obesity and Health Practices (3 papers), Child Nutrition and Feeding Issues (2 papers) and Respiratory viral infections research (2 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (1.5k citations), Pharmacy (161 citations) and Genetics (787 citations). Lenna L. Liu has collaborated with scholars based in United States and Kenya. Frequent co-authors include Dana Dabelea, Jean M. Lawrence, Elizabeth J. Mayer‐Davis, Angela D. Liese, Richard F. Hamman, Giuseppina Imperatore, Ronny A. Bell, Barbara Linder, Lawrence M. Dolan and Jasmin Divers. Their work appears in journals such as JAMA, Diabetes Care and PEDIATRICS.
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.