Tin Fei Sim

46 papers receiving 584 citations

Peers

Tin Fei Sim
Comparison fields: 5 of 89
  • Geriatrics and Gerontology 104
  • Applied Microbiology and Biotechnology 32
  • Complementary and alternative medicine 51
  • Epidemiology 149
  • Family Practice 6
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Treasure McGuire Australia
Greg J. Kyle Australia
José O. Rivera United States
Maria Beatrice Zazzara Italy
Patrícia de Carvalho Mastroianni Brazil
Jane Caroline Portlock United Kingdom
Yet Hoi Hong Malaysia
Mohamed Mansor Manan Malaysia
P Partha Nepal
Maher R. Khdour Palestinian Territory
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Citations per field
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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 50 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201388
2 201664
3 201549
4 201442
5 201938
6 201937
7 202025
8 201721
9 201718
10 202216
11 201715
12 202215
13 202014
14 201512
15 201811
16 202111
17 202111
18 201910
19 20219
20 20229

About Tin Fei Sim

Tin Fei Sim is a scholar working on Geriatrics and Gerontology, Applied Microbiology and Biotechnology, General Health Professions, Epidemiology and Psychiatry and Mental health, having authored 50 papers that have together received 604 indexed citations. Recurring topics across this work include Pharmaceutical Practices and Patient Outcomes (11 papers), Breastfeeding Practices and Influences (5 papers), Antibiotic Use and Resistance (3 papers), Innovations in Medical Education (2 papers), Child Nutrition and Feeding Issues (2 papers), Health Policy Implementation Science (2 papers), Diabetes Treatment and Management (2 papers) and Healthcare Systems and Technology (2 papers). The work is most often cited by research in Geriatrics and Gerontology (104 citations), Applied Microbiology and Biotechnology (32 citations), Complementary and alternative medicine (51 citations), Epidemiology (149 citations) and Family Practice (6 citations). Tin Fei Sim has collaborated with scholars based in Australia, Indonesia and Switzerland. Frequent co-authors include Laetitia Hattingh, Lisa B. G. Tee, Jill L. Sherriff, Richard Whaddon Parsons, Petra Czarniak, Bruce Vivian Sunderland, Lynne Emmerton, Alistair W. Vickery, Leanne Chalmers and J. C. Hughes. Their work appears in journals such as Research in Social and Administrative Pharmacy, International Journal of Pharmacy Practice, PeerJ, International Journal of Clinical Pharmacy and Pharmacy 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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