Tin Fei Sim

42 papers receiving 520 citations

Peers

Tin Fei Sim
Comparison fields: 5 of 98
  • Geriatrics and Gerontology 142
  • Applied Microbiology and Biotechnology 42
  • Family Practice 23
  • Epidemiology 207
  • Complementary and alternative medicine 49
Replace Treasure McGuire with:
Treasure McGuire Australia
Greg Kyle Australia
Lisa L. Dwyer United States
Syed Imran Ahmed Malaysia
Claudine Laurier Canada
Idowu O Senbanjo Nigeria
José O. Rivera United States
Peter J. Ambrose United States
Sewunet Admasu Belachew Ethiopia
Monika Lutters Switzerland
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Citations per field
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Treasure McGuire · 1×
Citations per year

Countries citing papers authored by Tin Fei Sim

Since Specialization
Citations

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

Fields of papers citing papers by Tin Fei Sim

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Tin Fei Sim. 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 Tin Fei Sim. The network helps show where Tin Fei Sim may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 46 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201384
2 201661
3 201546
4 201442
5 201934
6 201933
7 202025
8 201719
9 201715
10 202214
11 202013
12 201713
13 202212
14 201512
15 202110
16 201810
17 20219
18 20218
19 20228
20 20207

About Tin Fei Sim

Tin Fei Sim is a scholar working on Geriatrics and Gerontology, General Health Professions, Epidemiology, Public Health, Environmental and Occupational Health and Emergency Medicine, having authored 46 papers that have together received 544 indexed citations. Recurring topics across this work include Pharmaceutical Practices and Patient Outcomes (15 papers), Breastfeeding Practices and Influences (6 papers), Antibiotic Use and Resistance (5 papers), Behavioral Health and Interventions (4 papers), Health Policy Implementation Science (4 papers), Healthcare Systems and Technology (4 papers), Child Nutrition and Feeding Issues (3 papers) and Pharmaceutical studies and practices (3 papers). The work is most often cited by research in Geriatrics and Gerontology (142 citations), Applied Microbiology and Biotechnology (42 citations), Family Practice (23 citations), Epidemiology (207 citations) and Complementary and alternative medicine (49 citations). Tin Fei Sim has collaborated with scholars based in Australia, Switzerland and New Zealand. Frequent co-authors include Laetitia Hattingh, Lisa Tee, Richard Parsons, Petra Czarniak, Bruce Sunderland, Lynne Emmerton, Alistair Vickery, J. C. Hughes, Leanne Chalmers and Jeff Hughes. Their work appears in journals such as Research in Social and Administrative Pharmacy, International Journal of Clinical Pharmacy, Pharmacy Practice, PeerJ and Complementary Therapies in Clinical Practice.

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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