Audrey Lim

529 citations
6 papers · 366 · h-index 5

Impact in

    • Diabetes Management and Research
    • Diabetes Treatment and Management
    • Hyperglycemia and glycemic control in critically ill and hospitalized patients
    • Diabetes and associated disorders

Papers in

Audrey Lim

6 papers receiving 350 citations

Peers

Audrey Lim
Comparison fields: 5 of 52
  • Endocrinology, Diabetes and Metabolism 229
  • Genetics 132
  • Psychiatry and Mental health 62
  • Computational Mathematics 2
  • Surgery 146
Replace Jenny Wu with:
Jenny Wu United States
Thomas Donner United States
Alex Graveling United Kingdom
Barbara Widom United States
R. Gimse Norway
Tasha Doty United States
Vincent McAulay United Kingdom
Eva Hoseth Denmark
Inger Bendtson Denmark
Emily Y. Liu United States
Audrey Lim relative to Jenny Wu United States Jenny Wu's profile →
Citations per field
00.5×2.7×
Jenny Wu · 1×
Citations per year

Countries citing papers authored by Audrey Lim

Since Specialization
Citations

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

Fields of papers citing papers by Audrey Lim

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 13 scholars most cited alongside Audrey Lim, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Audrey Lim Line = papers co-authored together Audrey Lim links everyone, so they are left out of the graph.

All Works

About Audrey Lim

Audrey Lim is a scholar working on Surgery, Pediatrics, Perinatology and Child Health, Endocrinology, Diabetes and Metabolism, Genetics and Cellular and Molecular Neuroscience, having authored 6 papers that have together received 366 indexed citations. Recurring topics across this work include Pancreatic function and diabetes (2 papers), Diabetes Management and Research (2 papers), Child Nutrition and Feeding Issues (1 paper), Hyperglycemia and glycemic control in critically ill and hospitalized patients (1 paper), Family and Disability Support Research (1 paper), Infant Development and Preterm Care (1 paper), Congenital Heart Disease Studies (1 paper) and Child Nutrition and Water Access (1 paper). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (229 citations), Genetics (132 citations), Psychiatry and Mental health (62 citations), Computational Mathematics (2 citations) and Surgery (146 citations). Audrey Lim has collaborated with scholars based in United States and Japan. Frequent co-authors include Neil H. White, Stacie L. Warren, Dana C. Perantie, Jenny Wu, Michelle Sadler, Tamara Hershey, Patrick Weaver, Kevin J. Black, Jonathan M. Koller and Jessica Brown. Their work appears in journals such as Journal of Pediatric Gastroenterology and Nutrition, Pediatric Diabetes, Diabetes Care, Future Neurology and Perspectives of the ASHA Special Interest Groups.

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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