Ji Tan
Impact in
- Aquatic Science top 5%
- Seaweed-derived Bioactive Compounds
- Echinoderm biology and ecology
- Genetics top 5%
- Hemoglobinopathies and Related Disorders
Papers in
- Genetics 20
- Hemoglobinopathies and Related Disorders 20
- Genetic diversity and population structure 5
- Spider Taxonomy and Behavior Studies 4
- Hematology 13
- Iron Metabolism and Disorders 13
- Co-authors
- Phaik‐Eem Lim (17 shared papers)Siew‐Moi Phang (2 shared papers)Haji Sunarpi (3 shared papers)Anicia Q. Hurtado (3 shared papers)Kok Leong Tan (4 shared papers)Shirley Kow Yin Kham (5 shared papers)Praphathip Eamsobhana (7 shared papers)Juliet Brodie (4 shared papers)
In The Last Decade
Ji Tan
53 papers receiving 554 citations
Peers
Comparison fields: 5 of 88
- Aquatic Science 137
- Genetics 152
- Oceanography 178
- Hematology 90
- Ecology 96
Countries citing papers authored by Ji Tan
This map shows the geographic impact of Ji Tan'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 Ji Tan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ji Tan more than expected).
Fields of papers citing papers by Ji Tan
This network shows the impact of papers produced by Ji Tan. 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 Ji Tan. The network helps show where Ji Tan may publish in the future.
Co-authors
The 25 scholars most cited alongside Ji Tan, 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 58 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2012 | 49 | |
| 2 | 2017 | 43 | |
| 3 | 2012 | 42 | |
| 4 | 2013 | 42 | |
| 5 | 2004 | 29 | |
| 6 | 1992 | 28 | |
| 7 | 1994 | 26 | |
| 8 | 2005 | 22 | |
| 9 | 2013 | 22 | |
| 10 | 2012 | 21 | |
| 11 | 2001 | 18 | |
| 12 | 2013 | 17 | |
| 13 | 2008 | 15 | |
| 14 | 2014 | 13 | |
| 15 | 2016 | 11 | |
| 16 | The spectrum of beta-thalassemia mutations in Malays in Singapore and Kelantan. | 1996 | 11 |
| 17 | 2021 | 10 | |
| 18 | 2023 | 10 | |
| 19 | 2015 | 9 | |
| 20 | 2022 | 8 |
About Ji Tan
Ji Tan is a scholar working on Genetics, Hematology, Molecular Biology, Aquatic Science and Oceanography, having authored 58 papers that have together received 575 indexed citations. Recurring topics across this work include Hemoglobinopathies and Related Disorders (20 papers), Iron Metabolism and Disorders (13 papers), Marine and coastal plant biology (8 papers), Echinoderm biology and ecology (5 papers), Seaweed-derived Bioactive Compounds (5 papers), Genetic diversity and population structure (5 papers), Spider Taxonomy and Behavior Studies (4 papers) and Prenatal Screening and Diagnostics (4 papers). The work is most often cited by research in Aquatic Science (137 citations), Genetics (152 citations), Oceanography (178 citations), Hematology (90 citations) and Ecology (96 citations). Ji Tan has collaborated with scholars based in Malaysia, Singapore and Indonesia. Frequent co-authors include Phaik‐Eem Lim, Siew‐Moi Phang, Haji Sunarpi, Anicia Q. Hurtado, Kok Leong Tan, Shirley Kow Yin Kham, Praphathip Eamsobhana, Juliet Brodie, J.S.H. Tay and Elizabeth George. Their work appears in journals such as Journal of Applied Phycology, The Imaging Science Journal, PLoS ONE, Scientific Reports and European Journal of Phycology.
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.