S. Lim

2.6k total citations · 2 hit papers
13 papers, 1.9k citations indexed

About

S. Lim is a scholar working on Neurology, Endocrinology, Diabetes and Metabolism and Infectious Diseases. According to data from OpenAlex, S. Lim has authored 13 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Neurology, 3 papers in Endocrinology, Diabetes and Metabolism and 2 papers in Infectious Diseases. Recurrent topics in S. Lim's work include Diabetes, Cardiovascular Risks, and Lipoproteins (3 papers), Nutritional Studies and Diet (2 papers) and Blood Pressure and Hypertension Studies (2 papers). S. Lim is often cited by papers focused on Diabetes, Cardiovascular Risks, and Lipoproteins (3 papers), Nutritional Studies and Diet (2 papers) and Blood Pressure and Hypertension Studies (2 papers). S. Lim collaborates with scholars based in United States, Switzerland and Australia. S. Lim's co-authors include Rebecca E Engell, Theo Vos, Karen Devries, Moritz Bruno Petzold, Naeemah Abrahams, Claudı́a Garcia‐Moreno, Loraine Bacchus, Charlotte Watts, Christina Pallitto and Lisa C Rosenfeld and has published in prestigious journals such as Science, PLoS ONE and BMJ.

In The Last Decade

S. Lim

13 papers receiving 1.8k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

The Global Prevalence of Intimate Partner Violence Against Women

2013 1.0k citations Karen Devries, Joelle Mak et al. Science profile →
Global, regional, and national consumption levels of dietary fats and oils in 1990 and 2010: a systematic analysis including 266 country-specific nutrition surveys

2014 429 citations Renata Micha, Shahab Khatibzadeh et al. BMJ profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
S. Lim United States	8	906	558	437	307	296	13	1.9k
Lorena García United States	22	486 0.5×	331 0.6×	284 0.6×	272 0.9×	67 0.2×	101	2.0k
Monica E. Cornelius United States	18	170 0.2×	427 0.8×	254 0.6×	296 1.0×	54 0.2×	30	3.2k
Flávia Cristina Drumond Andrade United States	24	440 0.5×	532 1.0×	220 0.5×	243 0.8×	42 0.1×	114	1.7k
Thomas C. Keyserling United States	32	267 0.3×	1.2k 2.1×	161 0.4×	211 0.7×	46 0.2×	106	3.2k
Michelle I. Cardel United States	27	98 0.1×	511 0.9×	121 0.3×	609 2.0×	183 0.6×	128	2.5k
Stella S. Yi United States	28	373 0.4×	603 1.1×	368 0.8×	401 1.3×	21 0.1×	138	2.1k
Helen L. Metzner United States	22	741 0.8×	742 1.3×	298 0.7×	209 0.7×	36 0.1×	31	2.3k
Afshin Vafaei Canada	20	248 0.3×	244 0.4×	95 0.2×	111 0.4×	104 0.4×	65	1.5k
Caryn N. Bell United States	19	463 0.5×	479 0.9×	261 0.6×	179 0.6×	28 0.1×	61	1.3k
Alan Clough Australia	29	428 0.5×	663 1.2×	211 0.5×	223 0.7×	9 0.0×	139	2.3k

Countries citing papers authored by S. Lim

Since Specialization

Citations

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

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of S. Lim

This figure shows the co-authorship network connecting the top 25 collaborators of S. Lim. A scholar is included among the top collaborators of S. Lim based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with S. Lim. S. Lim is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

13 of 13 papers shown

Lim, S., Rafdzah Ahmad Zaki, Bushra Megat Johari, et al.. (2024). Effect of Long COVID on Work Performance and Annual Monetary Loss Among Infected Health Care Workers at a Tertiary Hospital in Malaysia. Journal of Occupational and Environmental Medicine. 67(1). 44–50. 1 indexed citations

Lim, S., et al.. (2024). GFML: Gravity function for metric learning. Engineering Applications of Artificial Intelligence. 139. 109463–109463. 1 indexed citations

Lim, S., Rafdzah Ahmad Zaki, Bushra Megat Johari, et al.. (2024). Prevalence and predictors of post-acute COVID syndrome among infected healthcare workers at University Malaya Medical Centre. PLoS ONE. 19(4). e0298376–e0298376. 5 indexed citations

Driscoll, Tim, Gemma Jacklyn, J. Orchard, et al.. (2014). The global burden of occupationally related low back pain: estimates from the Global Burden of Disease 2010 study. Annals of the Rheumatic Diseases. 73(6). 975–981. 199 indexed citations

Micha, Renata, Shahab Khatibzadeh, Saman Fahimi, et al.. (2014). Global, regional, and national consumption levels of dietary fats and oils in 1990 and 2010: a systematic analysis including 266 country-specific nutrition surveys. BMJ. 348(apr14 18). g2272–g2272. 429 indexed citations breakdown →

Devries, Karen, Joelle Mak, Claudı́a Garcia‐Moreno, et al.. (2013). The Global Prevalence of Intimate Partner Violence Against Women. Science. 340(6140). 1527–1528. 1031 indexed citations breakdown →

Ortegón, Mónica, S. Lim, Dan Chisholm, & Shanthi Mendis. (2012). Cost effectiveness of strategies to combat cardiovascular disease, diabetes, and tobacco use in sub-Saharan Africa and South East Asia: mathematical modelling study. BMJ. 344(mar02 1). e607–e607. 83 indexed citations

Chisholm, Dan, Rob Baltussen, David Evans, et al.. (2012). What are the priorities for prevention and control of non-communicable diseases and injuries in sub-Saharan Africa and South East Asia?. BMJ. 344(mar02 1). e586–e586. 21 indexed citations

Danaei, Goodarz, Gretchen A Stevens, Mariel M. Finucane, et al.. (2011). O5-3.1 Global, regional and national trends in metabolic risk factors of chronic diseases: analysis of health surveys and epidemiologic studies since 1980. Journal of Epidemiology & Community Health. 65(Suppl 1). A52.1–A52. 3 indexed citations

10.

Veerman, Lennert, Prin Vathesatogkit, Somlak Vanavanan, et al.. (2010). Blood pressure, cholesterol and cardiovascular disease in Thailand. Heart Asia. 2(1). 42–46. 2 indexed citations

11.

Cicuttini, Flavia, et al.. (2005). Cost effectiveness of adding magnetic resonance imaging to the usual management of suspected scaphoid fractures. British Journal of Sports Medicine. 39(2). 75–79. 58 indexed citations

12.

Lim, S., et al.. (2004). Transverse myelitis after measles and rubella vaccination. Journal of Paediatrics and Child Health. 40(9-10). 583–584. 14 indexed citations

13.

McNeil, John J., Andrea Peeters, Danny Liew, S. Lim, & Theo Vos. (2001). A Model for Predicting the Future Incidence of Coronary Heart Disease Within Percentiles of Coronary Heart Disease Risk. European Journal of Cardiovascular Prevention & Rehabilitation. 8(1). 31–37. 15 indexed citations

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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