Lenna Liu
- Endocrinology, Diabetes and Metabolism top 5%
- Public Health, Environmental and Occupational Health top 5%
- Genetics top 10%
- Surgery
- General Health Professions top 10%
- Co-authors
- Angela D. LieseRonny A. BellJean M. LawrenceGiuseppina ImperatoreDana DabeleaElizabeth J. Mayer‐DavisRalph B. D’AgostinoSantica Marcovina
- Topics
- Diabetes Management and Research (8 papers)Obesity, Physical Activity, Diet (8 papers)Child and Adolescent Health (5 papers)
- Cited by
- Endocrinology, Diabetes and MetabolismPharmacyPublic Health, Environmental and Occupational Health
- Journals
- CirculationDiabetes CarePEDIATRICS
- Partner nations
- United StatesGermany
In The Last Decade
Lenna Liu
23 papers receiving 816 citations
Peers
Comparison fields: 5 of 91
- Endocrinology, Diabetes and Metabolism 386
- Public Health, Environmental and Occupational Health 284
- Genetics 244
- Surgery 133
- General Health Professions 128
Countries citing papers authored by Lenna Liu
This map shows the geographic impact of Lenna 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 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 Liu more than expected).
Fields of papers citing papers by Lenna Liu
This network shows the impact of papers produced by Lenna 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 Liu. The network helps show where Lenna Liu may publish in the future.
Co-authorship network of co-authors of Lenna Liu
This figure shows the co-authorship network connecting the top 25 collaborators of Lenna Liu. A scholar is included among the top collaborators of Lenna Liu 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 Lenna Liu. Lenna Liu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 0 | |
| 3 | 34 | |
| 4 | 25 | |
| 5 | 39 | |
| 6 | 13 | |
| 7 | 医療コミュニティーにおける小児肥満の予防・治療機能の確立: 行動の呼びかけ | 4 |
| 8 | 22 | |
| 9 | 30 | |
| 10 | 44 | |
| 11 | 71 | |
| 12 | 1 | |
| 13 | 35 | |
| 14 | 130 | |
| 15 | 27 | |
| 16 | 73 | |
| 17 | 33 | |
| 18 | 6 | |
| 19 | 18 | |
| 20 | 8 |
About Lenna Liu
Lenna Liu is a scholar working on Pharmacy, Endocrinology, Diabetes and Metabolism and Transportation, having authored 25 papers that have together received 849 indexed citations. Recurring topics across this work include Diabetes Management and Research (8 papers), Obesity, Physical Activity, Diet (8 papers) and Child and Adolescent Health (5 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (386 citations), Pharmacy (65 citations) and Public Health, Environmental and Occupational Health (284 citations). Lenna Liu has collaborated with scholars based in United States and Germany. Frequent co-authors include Angela D. Liese, Ronny A. Bell, Jean M. Lawrence, Giuseppina Imperatore, Dana Dabelea, Elizabeth J. Mayer‐Davis, Ralph B. D’Agostino, Dana Dabelea, Santica Marcovina and Debra A. Standiford. Their work appears in journals such as Circulation, 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.