Tiow‐Suan Sim

46 papers receiving 577 citations

Peers

Tiow‐Suan Sim
Comparison fields: 5 of 69
  • Pharmacology 154
  • Molecular Medicine 38
  • Molecular Biology 360
  • Parasitology 28
  • Inorganic Chemistry 56
Replace Yi-Liang Liu with:
Yi-Liang Liu United States
Jiyoun Nam South Korea
Alan R. Healy United States
Mark A. Seefeld United States
Dhanaraju Mandalapu India
Gautam Agnihotri United States
Namrata Anand India
Baiyuan Yang United States
Jaime Pérez‐Villanueva Mexico
Luciano Porto Kagami Brazil
Tiow‐Suan Sim relative to Yi-Liang Liu United States Yi-Liang Liu's profile →
Citations per field
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Yi-Liang Liu · 1×
Citations per year

Countries citing papers authored by Tiow‐Suan Sim

Since Specialization
Citations

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

Fields of papers citing papers by Tiow‐Suan Sim

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Tiow‐Suan 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 Tiow‐Suan Sim. The network helps show where Tiow‐Suan Sim may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 49 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201049
2 200749
3 200945
4 200640
5 199636
6 199234
7 201128
8 200426
9 199824
10 201019
11 200918
12 200017
13 201416
14 199915
15 200113
16 200712
17 200712
18 200112
19 200712
20 200710

About Tiow‐Suan Sim

Tiow‐Suan Sim is a scholar working on Molecular Biology, Pharmacology, Materials Chemistry, Molecular Medicine and Public Health, Environmental and Occupational Health, having authored 49 papers that have together received 598 indexed citations. Recurring topics across this work include Microbial Natural Products and Biosynthesis (21 papers), Enzyme Structure and Function (15 papers), Biochemical and Molecular Research (15 papers), Antibiotic Resistance in Bacteria (11 papers), Malaria Research and Control (7 papers), Metal-Catalyzed Oxygenation Mechanisms (5 papers), Genomics and Phylogenetic Studies (4 papers) and Heat shock proteins research (3 papers). The work is most often cited by research in Pharmacology (154 citations), Molecular Medicine (38 citations), Molecular Biology (360 citations), Parasitology (28 citations) and Inorganic Chemistry (56 citations). Tiow‐Suan Sim has collaborated with scholars based in Singapore, United Kingdom and Canada. Frequent co-authors include Paxton Loke, Janet Sim, Stefan H. Millson, S. Mark Roe, Laurence H. Pearl, Chrisostomos Prodromou, Peter W. Piper, Yukiko Doi, Hideaki Yamada and Sakayu Shimizu. Their work appears in journals such as Canadian Journal of Microbiology, Biochemical and Biophysical Research Communications, Journal of Molecular Catalysis B Enzymatic, Parasitology Research and World Journal of Microbiology and Biotechnology.

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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