Elise Lim

2.0k citations
16 papers · 254 · h-index 7

Impact in

Papers in

    • Hemophilia Treatment and Research 6
    • Chronic Myeloid Leukemia Treatments 2
    • Lipoproteins and Cardiovascular Health 5

Elise Lim

12 papers receiving 253 citations

Peers

Elise Lim
Comparison fields: 5 of 49
  • Orthopedics and Sports Medicine 56
  • Endocrinology, Diabetes and Metabolism 97
  • Surgery 125
  • Cancer Research 32
  • Cardiology and Cardiovascular Medicine 47
Replace Raphael See with:
Raphael See United States
Shanshan Xue China
Ran Cui China
Wenli Cheng China
Phil Ambery United Kingdom
Muhammad Qamar Masood Pakistan
T C Flynn United States
Miguel Quesada‐Charneco Spain
C DAVIS United States
A. N. Taquet Belgium
Elise Lim relative to Raphael See United States Raphael See's profile →
Citations per field
00.5×10×16×
Raphael See · 1×
Citations per year

Countries citing papers authored by Elise Lim

Since Specialization
Citations

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

Fields of papers citing papers by Elise Lim

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Elise 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 Elise Lim Line = papers co-authored together Elise Lim links everyone, so they are left out of the graph.

All Works

16 of 16 papers shown
#Work
1 2021116
2 201670
3 202320
4 201917
5 202011
6 20197
7 20186
8 20212
9 20242
10 20231
11 20201
12 20251
13 20240
14 20240
15 20240
16 20230

About Elise Lim

Elise Lim is a scholar working on Hematology, Surgery, Cardiology and Cardiovascular Medicine, Molecular Biology and Endocrinology, Diabetes and Metabolism, having authored 16 papers that have together received 254 indexed citations. Recurring topics across this work include Hemophilia Treatment and Research (6 papers), Lipoproteins and Cardiovascular Health (5 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (3 papers), Genetic Associations and Epidemiology (3 papers), Genetic Mapping and Diversity in Plants and Animals (2 papers), Chronic Myeloid Leukemia Treatments (2 papers), Cardiovascular Health and Risk Factors (2 papers) and Cardiovascular Disease and Adiposity (2 papers). The work is most often cited by research in Orthopedics and Sports Medicine (56 citations), Endocrinology, Diabetes and Metabolism (97 citations), Surgery (125 citations), Cancer Research (32 citations) and Cardiology and Cardiovascular Medicine (47 citations). Elise Lim has collaborated with scholars based in United States, Japan and Switzerland. Frequent co-authors include Ching‐Ti Liu, L. Adrienne Cupples, Hiroaki Ikezaki, Ernst J. Schaefer, Bela F. Asztalos, Robert R. McLean, Steven K. Boyd, Yanhua Zhou, Mary Bouxsein and Douglas P. Kiel. Their work appears in journals such as Blood, Genetic Epidemiology, Nutrients, Clinical Chemistry and Research and Practice in Thrombosis and Haemostasis.

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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