Wei‐Yen Lim
Impact in
-
- Diabetes, Cardiovascular Risks, and Lipoproteins
- Nephrology top 10%
- Chronic Kidney Disease and Diabetes
- Renal Diseases and Glomerulopathies
Papers in
- Epidemiology 10
- Liver Disease Diagnosis and Treatment 2
- Inflammatory Myopathies and Dermatomyositis 2
- Influenza Virus Research Studies 2
- Oncology 4
- Cancer Risks and Factors 4
- Co-authors
- Adeline Seow (7 shared papers)Derrick Heng (4 shared papers)Stefan Ma (5 shared papers)Vineta Bhalla (2 shared papers)Kah‐Guan Au Eong (2 shared papers)Kee Seng Chia (6 shared papers)Suok Kai Chew (1 shared paper)Kumari Neelam (1 shared paper)
- Journals
- Lung Cancer (4 papers)BMC Public Health (2 papers)Respirology (2 papers)Cancer Epidemiology (2 papers)Scientific Reports (2 papers)
- Partner nations
- SingaporeAustraliaUnited States
In The Last Decade
Wei‐Yen Lim
43 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 127
- Endocrinology, Diabetes and Metabolism 114
- Nephrology 47
- Health 43
- Epidemiology 160
- Ophthalmology 38
Countries citing papers authored by Wei‐Yen Lim
This map shows the geographic impact of Wei‐Yen 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 Wei‐Yen Lim with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Wei‐Yen Lim more than expected).
Fields of papers citing papers by Wei‐Yen Lim
This network shows the impact of papers produced by Wei‐Yen 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 Wei‐Yen Lim. The network helps show where Wei‐Yen Lim may publish in the future.
Co-authors
The 25 scholars most cited alongside Wei‐Yen Lim, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 44 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2014 | 147 | |
| 2 | 2007 | 95 | |
| 3 | 2011 | 83 | |
| 4 | 2020 | 60 | |
| 5 | 2016 | 59 | |
| 6 | 2011 | 54 | |
| 7 | 2010 | 52 | |
| 8 | 2018 | 46 | |
| 9 | 2007 | 46 | |
| 10 | 2010 | 46 | |
| 11 | 2011 | 38 | |
| 12 | 2017 | 32 | |
| 13 | 2014 | 30 | |
| 14 | 2011 | 29 | |
| 15 | 2012 | 29 | |
| 16 | 2015 | 27 | |
| 17 | 2011 | 24 | |
| 18 | 2013 | 21 | |
| 19 | 2013 | 21 | |
| 20 | 2015 | 17 |
About Wei‐Yen Lim
Wei‐Yen Lim is a scholar working on Epidemiology, Oncology, Endocrinology, Diabetes and Metabolism, Genetics and Cancer Research, having authored 44 papers that have together received 1.1k indexed citations. Recurring topics across this work include Diabetes, Cardiovascular Risks, and Lipoproteins (4 papers), Cancer Risks and Factors (4 papers), COVID-19 epidemiological studies (2 papers), Liver Disease Diagnosis and Treatment (2 papers), Ovarian cancer diagnosis and treatment (2 papers), Inflammatory Myopathies and Dermatomyositis (2 papers), Influenza Virus Research Studies (2 papers) and Carcinogens and Genotoxicity Assessment (2 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (114 citations), Nephrology (47 citations), Health (43 citations), Epidemiology (160 citations) and Ophthalmology (38 citations). Wei‐Yen Lim has collaborated with scholars based in Singapore, Australia and United States. Frequent co-authors include Adeline Seow, Derrick Heng, Stefan Ma, Vineta Bhalla, Kah‐Guan Au Eong, Kee Seng Chia, Suok Kai Chew, Kumari Neelam, Ajeet M. Wagle and Alex R. Cook. Their work appears in journals such as Lung Cancer, BMC Public Health, Respirology, Cancer Epidemiology and Scientific Reports.
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.