Shu Lim
Impact in
- Cancer Research top 5%
- Cancer, Hypoxia, and Metabolism
- Biochemistry top 10%
Papers in
-
- Metabolism, Diabetes, and Cancer 5
- Peroxisome Proliferator-Activated Receptors 5
- Metabolomics and Mass Spectrometry Studies 4
-
- Cancer, Hypoxia, and Metabolism 5
- Co-authors
- Sara Bassilian (14 shared papers)László G. Boros (10 shared papers)Wai‐Nang Paul Lee (9 shared papers)Marta Cascante (7 shared papers)Josep J. Centelles (5 shared papers)Catherine S. Mao (5 shared papers)Joaquim Puigjaner (1 shared paper)Joan Boren (2 shared papers)
- Journals
- American Journal of Physiology-Endocrinology and Metabolism (4 papers)Journal of Biological Chemistry (4 papers)Metabolomics (3 papers)Journal of Lipid Research (1 paper)Clinical Biochemistry (1 paper)
- Partner nations
- United StatesSpainItaly
In The Last Decade
Shu Lim
21 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 84
- Cancer Research 337
- Biochemistry 77
- Molecular Biology 673
- Clinical Biochemistry 46
- Endocrinology, Diabetes and Metabolism 93
Countries citing papers authored by Shu Lim
This map shows the geographic impact of Shu Lim'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 Shu Lim with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shu Lim more than expected).
Fields of papers citing papers by Shu Lim
This network shows the impact of papers produced by Shu Lim. 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 Shu Lim. The network helps show where Shu Lim may publish in the future.
Co-authors
The 25 scholars most cited alongside Shu Lim, 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 22 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1998 | 164 | |
| 2 | 2001 | 162 | |
| 3 | 2006 | 116 | |
| 4 | 2009 | 102 | |
| 5 | 2005 | 100 | |
| 6 | 2003 | 71 | |
| 7 | 2001 | 70 | |
| 8 | 2006 | 58 | |
| 9 | 2004 | 47 | |
| 10 | 2002 | 39 | |
| 11 | 2000 | 38 | |
| 12 | 1998 | 37 | |
| 13 | 2008 | 35 | |
| 14 | 2008 | 32 | |
| 15 | 2008 | 26 | |
| 16 | 2004 | 20 | |
| 17 | 2013 | 12 | |
| 18 | 2002 | 11 | |
| 19 | 2007 | 10 | |
| 20 | 2006 | 6 |
About Shu Lim
Shu Lim is a scholar working on Molecular Biology, Cancer Research, Clinical Biochemistry, Surgery and Physiology, having authored 22 papers that have together received 1.2k indexed citations. Recurring topics across this work include Metabolism and Genetic Disorders (5 papers), Metabolism, Diabetes, and Cancer (5 papers), Peroxisome Proliferator-Activated Receptors (5 papers), Cancer, Hypoxia, and Metabolism (5 papers), Metabolomics and Mass Spectrometry Studies (4 papers), Mass Spectrometry Techniques and Applications (3 papers), Diet, Metabolism, and Disease (3 papers) and Advanced Proteomics Techniques and Applications (2 papers). The work is most often cited by research in Cancer Research (337 citations), Biochemistry (77 citations), Molecular Biology (673 citations), Clinical Biochemistry (46 citations) and Endocrinology, Diabetes and Metabolism (93 citations). Shu Lim has collaborated with scholars based in United States, Spain and Italy. Frequent co-authors include Sara Bassilian, László G. Boros, Wai‐Nang Paul Lee, Marta Cascante, Josep J. Centelles, Catherine S. Mao, Joaquim Puigjaner, Joan Boren, Wai‐Nang P. Lee and Silvia Marín. Their work appears in journals such as American Journal of Physiology-Endocrinology and Metabolism, Journal of Biological Chemistry, Metabolomics, Journal of Lipid Research and Clinical Biochemistry.
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.