S. Lim
Impact in
- Health top 0.5%
- Intimate Partner and Family Violence
- Gender Studies top 2%
- Sexual Assault and Victimization Studies
Papers in
-
- Long-Term Effects of COVID-19 2
-
- Diabetes, Cardiovascular Risks, and Lipoproteins 3
- Co-authors
- Rebecca E Engell (2 shared papers)Theo Vos (4 shared papers)Charlotte Watts (1 shared paper)Lisa C Rosenfeld (1 shared paper)Christina Pallitto (1 shared paper)Joelle Mak (1 shared paper)Karen Devries (1 shared paper)Naeemah Abrahams (1 shared paper)
- Journals
- Science (1 paper)Annals of the Rheumatic Diseases (1 paper)Engineering Applications of Artificial Intelligence (1 paper)BMJ (1 paper)Journal of Occupational and Environmental Medicine (1 paper)
- Partner nations
- United StatesSwitzerlandAustralia
In The Last Decade
S. Lim
13 papers receiving 1.8k citations
S. Lim's Hit Papers
Peers
Comparison fields: 5 of 137
- Health 906
- Gender Studies 296
- General Health Professions 558
- Nutrition and Dietetics 264
- Clinical Psychology 307
Countries citing papers authored by S. Lim
This map shows the geographic impact of S. 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 S. Lim with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites S. Lim more than expected).
Fields of papers citing papers by S. Lim
This network shows the impact of papers produced by S. 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 S. Lim. The network helps show where S. Lim may publish in the future.
Co-authors
The 25 scholars most cited alongside S. 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
| # | Work | ||
|---|---|---|---|
| 1 | The Global Prevalence of Intimate Partner Violence Against Women Hit paper breakdown → | 2013 | 1031 |
| 2 | Global, regional, and national consumption levels of dietary fats and oils in 1990 and 2010: a systematic analysis including 266 country-specific nutrition surveys Hit paper breakdown → | 2014 | 429 |
| 3 | 2014 | 199 | |
| 4 | 2012 | 83 | |
| 5 | 2005 | 58 | |
| 6 | 2012 | 21 | |
| 7 | 2001 | 15 | |
| 8 | 2004 | 14 | |
| 9 | 2024 | 5 | |
| 10 | 2011 | 3 | |
| 11 | 2010 | 2 | |
| 12 | 2024 | 1 | |
| 13 | 2024 | 1 |
About S. Lim
S. Lim is a scholar working on Neurology, Endocrinology, Diabetes and Metabolism, Infectious Diseases, Surgery and Cardiology and Cardiovascular Medicine, having authored 13 papers that have together received 1.9k indexed citations. Recurring topics across this work include Diabetes, Cardiovascular Risks, and Lipoproteins (3 papers), Long-Term Effects of COVID-19 (2 papers), Nutritional Studies and Diet (2 papers), Global Public Health Policies and Epidemiology (2 papers), Blood Pressure and Hypertension Studies (2 papers), Health Systems, Economic Evaluations, Quality of Life (2 papers), Occupational Health and Performance (1 paper) and Sex work and related issues (1 paper). The work is most often cited by research in Health (906 citations), Gender Studies (296 citations), General Health Professions (558 citations), Nutrition and Dietetics (264 citations) and Clinical Psychology (307 citations). S. Lim has collaborated with scholars based in United States, Switzerland and Australia. Frequent co-authors include Rebecca E Engell, Theo Vos, Charlotte Watts, Lisa C Rosenfeld, Christina Pallitto, Joelle Mak, Karen Devries, Naeemah Abrahams, Moritz Bruno Petzold and Claudı́a Garcia‐Moreno. Their work appears in journals such as Science, Annals of the Rheumatic Diseases, Engineering Applications of Artificial Intelligence, BMJ and Journal of Occupational and Environmental Medicine.
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.