J.S.H. Tay
Impact in
- Clinical Biochemistry top 5%
- Paraoxonase enzyme and polymorphisms
-
- Diabetes, Cardiovascular Risks, and Lipoproteins
Papers in
- Hematology 15
- Blood groups and transfusion 5
- Platelet Disorders and Treatments 4
- Surgery 11
- Lipoproteins and Cardiovascular Health 5
- Co-authors
- N. Saha (28 shared papers)Chew‐Kiat Heng (6 shared papers)Steve E. Humphries (4 shared papers)Poh‐Sim Low (10 shared papers)S.S. Ratnam (2 shared papers)A.C. Roy (2 shared papers)Hui‐Kim Yap (10 shared papers)N. Saha (8 shared papers)
- Journals
- Human Heredity (14 papers)Clinical Genetics (6 papers)Annals of Human Biology (3 papers)Genetic Epidemiology (3 papers)American Journal of Physical Anthropology (2 papers)
- Partner nations
- SingaporeUnited KingdomIndonesia
In The Last Decade
J.S.H. Tay
63 papers receiving 910 citations
Peers
Comparison fields: 5 of 92
- Clinical Biochemistry 120
- Endocrinology, Diabetes and Metabolism 171
- Hematology 70
- Genetics 61
- Pediatrics, Perinatology and Child Health 101
Countries citing papers authored by J.S.H. Tay
This map shows the geographic impact of J.S.H. Tay'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 J.S.H. Tay with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites J.S.H. Tay more than expected).
Fields of papers citing papers by J.S.H. Tay
This network shows the impact of papers produced by J.S.H. Tay. 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 J.S.H. Tay. The network helps show where J.S.H. Tay may publish in the future.
Co-authors
The 25 scholars most cited alongside J.S.H. Tay, 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 65 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1991 | 95 | |
| 2 | 1993 | 75 | |
| 3 | 1994 | 51 | |
| 4 | 1994 | 49 | |
| 5 | 1994 | 38 | |
| 6 | 1994 | 33 | |
| 7 | 1996 | 32 | |
| 8 | 1992 | 29 | |
| 9 | 1992 | 28 | |
| 10 | 1996 | 27 | |
| 11 | 1994 | 26 | |
| 12 | 1994 | 26 | |
| 13 | 1995 | 25 | |
| 14 | 1992 | 23 | |
| 15 | 2010 | 21 | |
| 16 | 1994 | 20 | |
| 17 | 1995 | 19 | |
| 18 | 1995 | 19 | |
| 19 | 1990 | 18 | |
| 20 | 1991 | 17 |
About J.S.H. Tay
J.S.H. Tay is a scholar working on Hematology, Surgery, Endocrinology, Diabetes and Metabolism, Molecular Biology and Genetics, having authored 65 papers that have together received 946 indexed citations. Recurring topics across this work include Neonatal Health and Biochemistry (7 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (7 papers), Hemoglobinopathies and Related Disorders (6 papers), Erythrocyte Function and Pathophysiology (5 papers), Blood groups and transfusion (5 papers), Lipoproteins and Cardiovascular Health (5 papers), Platelet Disorders and Treatments (4 papers) and Blood properties and coagulation (4 papers). The work is most often cited by research in Clinical Biochemistry (120 citations), Endocrinology, Diabetes and Metabolism (171 citations), Hematology (70 citations), Genetics (61 citations) and Pediatrics, Perinatology and Child Health (101 citations). J.S.H. Tay has collaborated with scholars based in Singapore, United Kingdom and Indonesia. Frequent co-authors include N. Saha, Chew‐Kiat Heng, Steve E. Humphries, Poh‐Sim Low, S.S. Ratnam, A.C. Roy, Hui‐Kim Yap, N. Saha, W C Yip and Hee‐Kit Wong. Their work appears in journals such as Human Heredity, Clinical Genetics, Annals of Human Biology, Genetic Epidemiology and American Journal of Physical Anthropology.
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.