Liana Hsu

1.7k citations
18 papers · 612 indexed · 1 hit paper · h-index 11
Topics
Diabetes Management and Research (18 papers)Pancreatic function and diabetes (11 papers)Diabetes and associated disorders (8 papers)

In The Last Decade

Liana Hsu

17 papers receiving 594 citations

Hit Papers

A Randomized Trial of Closed-Loop Control in Children wit...2020202620222024202050100150200250

Peers

Liana Hsu
Comparison fields: 5 of 65
  • Endocrinology, Diabetes and Metabolism 567
  • Surgery 448
  • Genetics 370
  • General Health Professions 27
  • Biomedical Engineering 22
Replace G Faber-Heinemann with:
G Faber-Heinemann Germany
Ingrid Schütz-Fuhrmann Austria
Emily Jost United States
Yongjin Xu United States
Sara Charleer Belgium
Tomas C. Walker United States
Judy Sibayan United States
Carla M. Frewen New Zealand
Katherine Bergamo United States
Chantal McMahon United States
Liana Hsu relative to G Faber-Heinemann Germany G Faber-Heinemann's profile →
Citations per field
00.5×3.3×
G Faber-Heinemann · 1×
Citations per year

Countries citing papers authored by Liana Hsu

Since Specialization
Citations

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

Fields of papers citing papers by Liana Hsu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Liana Hsu

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

All Works

18 of 18 papers shown
#WorkIndexed citations
1 4
2 19
3 20
4 17
5 26
6 44
7 35
8 0
9 2
10
A Randomized Trial of Closed-Loop Control in Children with Type 1 Diabetesbreakdown →
284
11 29
12 60
13 46
14 1
15 3
16 5
17 1
18 16

About Liana Hsu

Liana Hsu is a scholar working on Endocrinology, Diabetes and Metabolism, Genetics and Surgery, having authored 18 papers that have together received 612 indexed citations. Recurring topics across this work include Diabetes Management and Research (18 papers), Pancreatic function and diabetes (11 papers) and Diabetes and associated disorders (8 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (567 citations), Genetics (370 citations) and Surgery (448 citations). Liana Hsu has collaborated with scholars based in United States, Australia and Denmark. Frequent co-authors include Bruce A. Buckingham, Laya Ekhlaspour, Marc D. Breton, R. Paul Wadwa, Gregory P. Forlenza, Emma Emory, Mark D. DeBoer, Melissa J. Schoelwer, Lori Carria and Mary C. Oliveri. Their work appears in journals such as New England Journal of Medicine, Diabetes Care and Diabetes.

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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