Si Mui Sim
Impact in
- Virology top 1%
- Rabies epidemiology and control
- Paleontology top 5%
- Marine Invertebrate Physiology and Ecology
Papers in
- Genetics 27
- Venomous Animal Envenomation and Studies 26
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- Ion channel regulation and function 6
- Co-authors
- Nget Hong Tan (28 shared papers)Shin Yee Fung (22 shared papers)Choo Hock Tan (18 shared papers)Rosnah Ismail (2 shared papers)Christeine Ariaranee Gnanathasan (5 shared papers)Chiu‐Yin Kwan (3 shared papers)Visith Sitprija (5 shared papers)Chooi Yeng Lee (3 shared papers)
- Journals
- Toxicon (6 papers)Acta Tropica (4 papers)The Journal of venomous animals and toxins including tropical diseases (2 papers)Journal of Ethnopharmacology (2 papers)Evidence-based Complementary and Alternative Medicine (2 papers)
- Partner nations
- MalaysiaThailandUnited Kingdom
In The Last Decade
Si Mui Sim
58 papers receiving 1.3k citations
Peers
Comparison fields: 5 of 133
- Virology 436
- Paleontology 307
- Genetics 637
- Pharmacology 153
- Family Practice 36
Countries citing papers authored by Si Mui Sim
This map shows the geographic impact of Si Mui 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 Si Mui Sim with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Si Mui Sim more than expected).
Fields of papers citing papers by Si Mui Sim
This network shows the impact of papers produced by Si Mui 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 Si Mui Sim. The network helps show where Si Mui Sim may publish in the future.
Co-authors
The 25 scholars most cited alongside Si Mui Sim, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 59 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2006 | 137 | |
| 2 | 2018 | 67 | |
| 3 | 2004 | 67 | |
| 4 | 2014 | 59 | |
| 5 | 1991 | 55 | |
| 6 | 2010 | 54 | |
| 7 | 2009 | 51 | |
| 8 | 2012 | 46 | |
| 9 | 2014 | 46 | |
| 10 | 2014 | 45 | |
| 11 | 2011 | 45 | |
| 12 | 2012 | 43 | |
| 13 | 2015 | 42 | |
| 14 | 2018 | 41 | |
| 15 | 1998 | 35 | |
| 16 | 2014 | 34 | |
| 17 | 2016 | 33 | |
| 18 | 2004 | 31 | |
| 19 | 2011 | 30 | |
| 20 | 2007 | 30 |
About Si Mui Sim
Si Mui Sim is a scholar working on Genetics, Molecular Biology, Paleontology, Virology and Pharmacology, having authored 59 papers that have together received 1.4k indexed citations. Recurring topics across this work include Venomous Animal Envenomation and Studies (26 papers), Marine Invertebrate Physiology and Ecology (14 papers), Rabies epidemiology and control (13 papers), Innovations in Medical Education (10 papers), Healthcare and Venom Research (7 papers), Problem and Project Based Learning (6 papers), Ion channel regulation and function (6 papers) and Toxin Mechanisms and Immunotoxins (5 papers). The work is most often cited by research in Virology (436 citations), Paleontology (307 citations), Genetics (637 citations), Pharmacology (153 citations) and Family Practice (36 citations). Si Mui Sim has collaborated with scholars based in Malaysia, Thailand and United Kingdom. Frequent co-authors include Nget Hong Tan, Shin Yee Fung, Choo Hock Tan, Rosnah Ismail, Christeine Ariaranee Gnanathasan, Chiu‐Yin Kwan, Visith Sitprija, Chooi Yeng Lee, Hwee Ming Cheng and DJ Back. Their work appears in journals such as Toxicon, Acta Tropica, The Journal of venomous animals and toxins including tropical diseases, Journal of Ethnopharmacology and Evidence-based Complementary and Alternative 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.