S. Tam
Impact in
- Biotechnology top 2%
- Transgenic Plants and Applications
- Immunology top 5%
- Toxin Mechanisms and Immunotoxins
- Psoriasis: Treatment and Pathogenesis
Papers in
- Immunology 28
- Toxin Mechanisms and Immunotoxins 24
- Co-authors
- Yong‐Tang Zheng (17 shared papers)J. Tze‐Fei Wong (6 shared papers)Hai Huang (8 shared papers)Pang‐Chui Shaw (6 shared papers)Hung‐Fat Tse (7 shared papers)Xian‐Hui He (5 shared papers)Kai Hang Yiu (7 shared papers)Dong‐Yun Ouyang (5 shared papers)
- Journals
- Biochemical and Biophysical Research Communications (10 papers)Life Sciences (6 papers)Kidney International (6 papers)Diabetic Medicine (3 papers)Canadian Journal of Physiology and Pharmacology (2 papers)
- Partner nations
- Hong KongChinaUnited Kingdom
In The Last Decade
S. Tam
98 papers receiving 2.3k citations
Peers
Comparison fields: 5 of 127
- Biotechnology 301
- Immunology 585
- Virology 94
- Nephrology 140
- Genetics 204
Countries citing papers authored by S. Tam
This map shows the geographic impact of S. Tam'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 S. Tam with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites S. Tam more than expected).
Fields of papers citing papers by S. Tam
This network shows the impact of papers produced by S. Tam. 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 S. Tam. The network helps show where S. Tam may publish in the future.
Co-authors
The 25 scholars most cited alongside S. Tam, 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 98 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2005 | 87 | |
| 2 | 1976 | 87 | |
| 3 | 2004 | 85 | |
| 4 | 2009 | 82 | |
| 5 | 2006 | 82 | |
| 6 | 2007 | 81 | |
| 7 | 1999 | 76 | |
| 8 | 2000 | 71 | |
| 9 | 2009 | 67 | |
| 10 | 2008 | 66 | |
| 11 | 2007 | 63 | |
| 12 | 2010 | 59 | |
| 13 | 2012 | 58 | |
| 14 | 2008 | 55 | |
| 15 | 2003 | 53 | |
| 16 | 2002 | 48 | |
| 17 | 2001 | 44 | |
| 18 | 2004 | 40 | |
| 19 | 2009 | 36 | |
| 20 | 2003 | 33 |
About S. Tam
S. Tam is a scholar working on Immunology, Molecular Biology, Biotechnology, Plant Science and Nephrology, having authored 98 papers that have together received 2.4k indexed citations. Recurring topics across this work include Toxin Mechanisms and Immunotoxins (24 papers), Transgenic Plants and Applications (19 papers), Plant Virus Research Studies (11 papers), Hemoglobinopathies and Related Disorders (9 papers), Metabolism and Genetic Disorders (9 papers), Renal function and acid-base balance (8 papers), Cardiovascular Health and Disease Prevention (6 papers) and Hemoglobin structure and function (6 papers). The work is most often cited by research in Biotechnology (301 citations), Immunology (585 citations), Virology (94 citations), Nephrology (140 citations) and Genetics (204 citations). S. Tam has collaborated with scholars based in Hong Kong, China and United Kingdom. Frequent co-authors include Yong‐Tang Zheng, J. Tze‐Fei Wong, Hai Huang, Pang‐Chui Shaw, Hung‐Fat Tse, Xian‐Hui He, Kai Hang Yiu, Dong‐Yun Ouyang, Chiu‐Wing Winnie Chu and Wei Pang. Their work appears in journals such as Biochemical and Biophysical Research Communications, Life Sciences, Kidney International, Diabetic Medicine and Canadian Journal of Physiology and Pharmacology.
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.