Ee Mun Lim

5.0k citations
88 papers · 2.8k indexed · h-index 28

Impact in

    • Thyroid Disorders and Treatments
    • Thyroid Cancer Diagnosis and Treatment
    • Growth Hormone and Insulin-like Growth Factors
    • Diabetes Management and Research
    • Pituitary Gland Disorders and Treatments
  • Nephrology top 5%

Papers in

Ee Mun Lim

84 papers receiving 2.7k citations

Peers

Ee Mun Lim
Comparison fields: 5 of 127
  • Endocrinology, Diabetes and Metabolism 1.4k
  • Nephrology 208
  • Orthopedics and Sports Medicine 236
  • Genetics 445
  • Pathology and Forensic Medicine 281
Replace Silvia Manfrini with:
Silvia Manfrini Italy
Michael J. Nissen Switzerland
Else‐Marie Bladbjerg Denmark
A. Elisabeth Hak Netherlands
Se Eun Park South Korea
Pedro Iglesias Spain
Tomoaki Morioka Japan
Karla M. Pou United States
Giulio Mengozzi Italy
José Manuel Gómez Spain
Ee Mun Lim relative to Silvia Manfrini Italy Silvia Manfrini's profile →
Citations per field
00.5×2.8×
Silvia Manfrini · 1×
Citations per year

Countries citing papers authored by Ee Mun Lim

Since Specialization
Citations

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

Fields of papers citing papers by Ee Mun Lim

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 20251
2 20251
3 20244
4 20240
5 20234
6 20235
7 202031
8 201911
9 201711
10 201733
11 201572
12 201517
13 201325
14 2013295
15 201230
16 201034
17 200789
18 200640
19 200489
20 2003155

About Ee Mun Lim

Ee Mun Lim is a scholar working on Endocrinology, Diabetes and Metabolism, Orthopedics and Sports Medicine, Nephrology, Transplantation and Pathology and Forensic Medicine, having authored 88 papers that have together received 2.8k indexed citations. Recurring topics across this work include Bone health and osteoporosis research (13 papers), Vitamin D Research Studies (13 papers), Thyroid Disorders and Treatments (13 papers), Pituitary Gland Disorders and Treatments (12 papers), Thyroid Cancer Diagnosis and Treatment (7 papers), Hormonal and reproductive studies (7 papers), Growth Hormone and Insulin-like Growth Factors (7 papers) and Chronic Kidney Disease and Diabetes (6 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (1.4k citations), Nephrology (208 citations), Orthopedics and Sports Medicine (236 citations), Genetics (445 citations) and Pathology and Forensic Medicine (281 citations). Ee Mun Lim has collaborated with scholars based in Australia, United Kingdom and United States. Frequent co-authors include John P. Walsh, Suzanne J. Brown, Kun Zhu, Elizabeth A. Davis, Timothy W. Jones, Narelle Hadlow, Trang T. Ly, Wai H. Lim, Scott G. Wilson and Bronwyn Stuckey. Their work appears in journals such as The Journal of Clinical Endocrinology & Metabolism, Clinical Endocrinology, Osteoporosis International, Journal of Bone and Mineral Research and PLoS ONE.

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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