Grace Lin
Impact in
- Aquatic Science top 0.5%
- Aquaculture Nutrition and Growth
- Fish Biology and Ecology Studies
- Genetics top 5%
- Genetic and phenotypic traits in livestock
- Genetic diversity and population structure
- Genetic Mapping and Diversity in Plants and Animals
- Genetic and Clinical Aspects of Sex Determination and Chromosomal Abnormalities
Papers in
-
- Aquaculture Nutrition and Growth 9
- Genetics 26
- Genetic diversity and population structure 16
- Genetic and phenotypic traits in livestock 8
- Genetic Mapping and Diversity in Plants and Animals 7
- Genetic and Clinical Aspects of Sex Determination and Chromosomal Abnormalities 4
- Journals
- PLoS ONE (7 papers)BMC Genomics (5 papers)Scientific Reports (3 papers)Aquaculture (3 papers)Blood (2 papers)
- Partner nations
- SingaporeUnited StatesCanada
In The Last Decade
Grace Lin
39 papers receiving 1.6k citations
Peers
Comparison fields: 5 of 94
- Aquatic Science 637
- Genetics 708
- Physiology 112
- Immunology 460
- Nature and Landscape Conservation 161
Countries citing papers authored by Grace Lin
This map shows the geographic impact of Grace Lin'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 Grace Lin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Grace Lin more than expected).
Fields of papers citing papers by Grace Lin
This network shows the impact of papers produced by Grace Lin. 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 Grace Lin. The network helps show where Grace Lin may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Grace Lin, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2022 | 7 | |
| 2 | 2020 | 5 | |
| 3 | 2019 | 22 | |
| 4 | 2017 | 24 | |
| 5 | 2016 | 25 | |
| 6 | 2016 | 32 | |
| 7 | 2016 | 56 | |
| 8 | 2015 | 97 | |
| 9 | 2014 | 9 | |
| 10 | 2014 | 97 | |
| 11 | 2013 | 92 | |
| 12 | 2013 | 53 | |
| 13 | 2012 | 14 | |
| 14 | 2012 | 14 | |
| 15 | 2012 | 31 | |
| 16 | 2011 | 56 | |
| 17 | 2010 | 32 | |
| 18 | Depilation induced anagen as a model to study hedgehog pathway antagonist IPI-926: Implications for biomarker development | 2008 | 1 |
| 19 | 2006 | 2 | |
| 20 | 1994 | 3 |
About Grace Lin
Grace Lin is a scholar working on Aquatic Science, Genetics, Hematology, Immunology and Allergy and Nature and Landscape Conservation, having authored 40 papers that have together received 1.6k indexed citations. Recurring topics across this work include Genetic diversity and population structure (16 papers), Aquaculture Nutrition and Growth (9 papers), Genetic and phenotypic traits in livestock (8 papers), Genetic Mapping and Diversity in Plants and Animals (7 papers), Identification and Quantification in Food (5 papers), Genomics and Phylogenetic Studies (5 papers), Epigenetics and DNA Methylation (4 papers) and Genetic and Clinical Aspects of Sex Determination and Chromosomal Abnormalities (4 papers). The work is most often cited by research in Aquatic Science (637 citations), Genetics (708 citations), Physiology (112 citations), Immunology (460 citations) and Nature and Landscape Conservation (161 citations). Grace Lin has collaborated with scholars based in Singapore, United States and Canada. Frequent co-authors include Gen Hua Yue, Zi Yi Wan, Le Wang, Felicia Feng, Fei Sun, Jun Xia, Loong Chueng Lo, Jun Xia, May Lee and Ze Yuan Zhu. Their work appears in journals such as PLoS ONE, BMC Genomics, Scientific Reports, Aquaculture and Blood.
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.