Lenna Liu

1.5k total citations
25 papers, 849 citations indexed

About

Lenna Liu is a scholar working on Public Health, Environmental and Occupational Health, Endocrinology, Diabetes and Metabolism and General Health Professions. According to data from OpenAlex, Lenna Liu has authored 25 papers receiving a total of 849 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Public Health, Environmental and Occupational Health, 11 papers in Endocrinology, Diabetes and Metabolism and 8 papers in General Health Professions. Recurrent topics in Lenna Liu's work include Diabetes Management and Research (8 papers), Obesity, Physical Activity, Diet (8 papers) and Child and Adolescent Health (5 papers). Lenna Liu is often cited by papers focused on Diabetes Management and Research (8 papers), Obesity, Physical Activity, Diet (8 papers) and Child and Adolescent Health (5 papers). Lenna Liu collaborates with scholars based in United States and Germany. Lenna Liu's 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 and has published in prestigious journals such as Circulation, Diabetes Care and PEDIATRICS.

In The Last Decade

Lenna Liu

23 papers receiving 816 citations

Peers

Lenna Liu

EDM

PHEOH

GENET

SURGE

GHP

Joan Thomas United States

Howard Fishbein United States

Anna Stahl‐Pehe Germany

Nick Hex United Kingdom

Beata Gurzkowska Poland

Aneta Grajda Poland

A. K. Azad Khan Bangladesh

Bibbi Smide Sweden

Ian Blumer Canada

Carla Gianfrancesco United Kingdom

Joan Thomas United States

Lenna Liu

449 ×1.2

EDM

171 ×0.6

PHEOH

241 ×1.0

GENET

158 ×1.2

SURGE

75 ×0.6

GHP

Citations per year, relative to Lenna Liu Lenna Liu (= 1×) peers Joan Thomas

Countries citing papers authored by Lenna Liu

Since Specialization

Citations

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

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

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20 of 20 papers shown

Rhodes, Erinn T., Thao-Ly T. Phan, Ihuoma Eneli, et al.. (2023). Patient-Reported Outcomes to Describe Global Health and Family Relationships in Pediatric Weight Management. Childhood Obesity. 20(1). 1–10. 1 indexed citations

Reynolds, Kristi, Lenna Liu, Elizabeth J. Mayer‐Davis, et al.. (2020). Association of DASH Diet With Cardiovascular Risk Factors in Youth With Diabetes Mellitus: The SEARCH for Diabetes in Youth Study. UNC Libraries.

Kim, Grace, Jasmin Divers, Nora F. Fino, et al.. (2019). Trends in Prevalence of Cardiovascular Risk Factors from 2002‐2012 among Youth Early in the Course of Type 1 and Type 2 Diabetes. The SEARCH for Diabetes in Youth Study. Pediatric Diabetes. 20(6). 693–701. 34 indexed citations

Liese, Angela D., Archana P. Lamichhane, Robin Puett, et al.. (2018). Neighborhood characteristics, food deserts, rurality, and type 2 diabetes in youth: Findings from a case-control study. Health & Place. 50. 81–88. 25 indexed citations

Kirk, Shelley, Sarah Armstrong, Eileen King, et al.. (2016). Establishment of the Pediatric Obesity Weight Evaluation Registry: A National Research Collaborative for Identifying the Optimal Assessment and Treatment of Pediatric Obesity. Childhood Obesity. 13(1). 9–17. 39 indexed citations

Puett, Robin, Archana P. Lamichhane, Michele Nichols, et al.. (2012). Neighborhood context and incidence of type 1 diabetes: The SEARCH for Diabetes in Youth Study. Health & Place. 18(4). 911–916. 13 indexed citations

Liu, Lenna, et al.. (2011). 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. PEDIATRICS. 128. 71–77. 4 indexed citations

Slusser, Wendy, K Stephens, Lenna Liu, et al.. (2011). Payment for Obesity Services: Examples and Recommendations for Stage 3 Comprehensive Multidisciplinary Intervention Programs for Children and Adolescents. PEDIATRICS. 128(Supplement_2). S78–S85. 22 indexed citations

Haemer, Matthew, et al.. (2011). Building Capacity for Childhood Obesity Prevention and Treatment in the Medical Community: Call to Action. PEDIATRICS. 128(Supplement_2). S71–S77. 30 indexed citations

10.

Liese, Angela D., Andrew Lawson, James Hibbert, et al.. (2010). Evaluating geographic variation in type 1 and type 2 diabetes mellitus incidence in youth in four US regions. Health & Place. 16(3). 547–556. 44 indexed citations

11.

Rodríguez, Beatriz L., Dana Dabelea, Angela D. Liese, et al.. (2010). Prevalence and Correlates of Elevated Blood Pressure in Youth with Diabetes Mellitus: The Search for Diabetes in Youth Study. The Journal of Pediatrics. 157(2). 245–251.e1. 71 indexed citations

12.

Hibbert, James, Angela D. Liese, Andrew Lawson, et al.. (2009). Evaluating Geographic Imputation Approaches for Zip Code Level Data: An Application to a Study of Pediatric Diabetes. Epidemiology. 20. S39–S39. 1 indexed citations

13.

Hibbert, James, Angela D. Liese, Andrew Lawson, et al.. (2009). Evaluating geographic imputation approaches for zip code level data: an application to a study of pediatric diabetes. International Journal of Health Geographics. 8(1). 54–54. 35 indexed citations

14.

Mayer‐Davis, Elizabeth J., J. Beyer, Ronny A. Bell, et al.. (2009). Diabetes in African American Youth. Diabetes Care. 32(Supplement_2). S112–S122. 130 indexed citations

15.

Liese, Angela D., Lenna Liu, Cralen Davis, et al.. (2008). Participation in pediatric epidemiologic research: The SEARCH for Diabetes in Youth Study experience. Contemporary Clinical Trials. 29(6). 829–836. 27 indexed citations

16.

Pettitt, David J., Jean M. Lawrence, J. Beyer, et al.. (2008). Association Between Maternal Diabetes in Utero and Age at Offspring's Diagnosis of Type 2 Diabetes. Diabetes Care. 31(11). 2126–2130. 73 indexed citations

17.

Lozano, Paula, et al.. (2007). Immigrant families' perceptions on walking to school and school breakfast: a focus group study. International Journal of Behavioral Nutrition and Physical Activity. 4(1). 64–64. 33 indexed citations

18.

Saelens, Brian E. & Lenna Liu. (2007). Clinician's comment on treatment of childhood overweight meta-analysis.. Health Psychology. 26(5). 533–536. 6 indexed citations

19.

Liu, Lenna, et al.. (2004). Type 2 diabetes in youth. Current problems in pediatric and adolescent health care. 34(7). 254–272. 18 indexed citations

20.

Whitaker‐Dowling, Patricia, John Dowling, Lenna Liu, & Julius S. Youngner. (1986). Interferon Inhibits the Growth of Legionella micdadei in Mouse L Cells. Journal of Interferon Research. 6(2). 107–114. 8 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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