Lyann Sim
Impact in
- Biotechnology top 1%
- Enzyme Production and Characterization
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- Natural Antidiabetic Agents Studies
Papers in
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- Enzyme Production and Characterization 27
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- Glycosylation and Glycoproteins Research 16
- Co-authors
- David R. Rose (19 shared papers)Buford L. Nichols (7 shared papers)Bernardine M. Pinto (7 shared papers)Roberto Quezada‐Calvillo (5 shared papers)Erwin E. Sterchi (4 shared papers)Sankar Mohan (5 shared papers)O. P. Ward (1 shared paper)Z-Y Li (1 shared paper)
- Journals
- The Journal of Organic Chemistry (4 papers)Carbohydrate Research (4 papers)Glycobiology (3 papers)Bioorganic & Medicinal Chemistry (3 papers)The FASEB Journal (2 papers)
- Partner nations
- CanadaUnited StatesSwitzerland
In The Last Decade
Lyann Sim
38 papers receiving 1.8k citations
Peers
Comparison fields: 5 of 89
- Biotechnology 520
- Endocrinology, Diabetes and Metabolism 444
- Nutrition and Dietetics 419
- Organic Chemistry 516
- Biochemistry 98
Countries citing papers authored by Lyann Sim
This map shows the geographic impact of Lyann 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 Lyann Sim with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lyann Sim more than expected).
Fields of papers citing papers by Lyann Sim
This network shows the impact of papers produced by Lyann 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 Lyann Sim. The network helps show where Lyann Sim may publish in the future.
Co-authors
The 25 scholars most cited alongside Lyann 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 41 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2007 | 289 | |
| 2 | 2010 | 196 | |
| 3 | 1997 | 171 | |
| 4 | 2009 | 153 | |
| 5 | 2008 | 86 | |
| 6 | 2009 | 85 | |
| 7 | 2006 | 77 | |
| 8 | 2011 | 74 | |
| 9 | 2007 | 61 | |
| 10 | 2019 | 58 | |
| 11 | 2014 | 51 | |
| 12 | 2012 | 46 | |
| 13 | 2018 | 42 | |
| 14 | 2008 | 41 | |
| 15 | 2006 | 37 | |
| 16 | 2007 | 37 | |
| 17 | 2006 | 33 | |
| 18 | 2006 | 31 | |
| 19 | 2015 | 31 | |
| 20 | 2007 | 29 |
About Lyann Sim
Lyann Sim is a scholar working on Biotechnology, Molecular Biology, Organic Chemistry, Nutrition and Dietetics and Radiology, Nuclear Medicine and Imaging, having authored 41 papers that have together received 1.8k indexed citations. Recurring topics across this work include Enzyme Production and Characterization (27 papers), Carbohydrate Chemistry and Synthesis (20 papers), Glycosylation and Glycoproteins Research (16 papers), Monoclonal and Polyclonal Antibodies Research (4 papers), Digestive system and related health (4 papers), Food composition and properties (4 papers), Microbial Metabolites in Food Biotechnology (3 papers) and Natural Antidiabetic Agents Studies (3 papers). The work is most often cited by research in Biotechnology (520 citations), Endocrinology, Diabetes and Metabolism (444 citations), Nutrition and Dietetics (419 citations), Organic Chemistry (516 citations) and Biochemistry (98 citations). Lyann Sim has collaborated with scholars based in Canada, United States and Switzerland. Frequent co-authors include David R. Rose, Buford L. Nichols, Bernardine M. Pinto, Roberto Quezada‐Calvillo, Erwin E. Sterchi, Sankar Mohan, O. P. Ward, Z-Y Li, N. Ravindranath and Hassan Y. Naim. Their work appears in journals such as The Journal of Organic Chemistry, Carbohydrate Research, Glycobiology, Bioorganic & Medicinal Chemistry and The FASEB Journal.
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.