Grace Tiao
Impact in
- Cancer Research top 10%
- Cancer Genomics and Diagnostics
- Immunology top 10%
- Immunotherapy and Immune Responses
- Immune Cell Function and Interaction
- T-cell and B-cell Immunology
Papers in
-
- RNA and protein synthesis mechanisms 2
- Mitochondrial Function and Pathology 2
- Single-cell and spatial transcriptomics 1
- Genetics 4
- Chronic Lymphocytic Leukemia Research 3
- Genomics and Rare Diseases 3
- Genetic Associations and Epidemiology 2
- Co-authors
- Gad Getz (7 shared papers)Michael S. Lawrence (3 shared papers)Carrie Sougnez (4 shared papers)Adam Kieżun (5 shared papers)Jaegil Kim (2 shared papers)Paz Polak (2 shared papers)Michael S. Rooney (1 shared paper)Nir Hacohen (1 shared paper)
- Journals
- Nature Communications (3 papers)Blood (2 papers)Clinical Cancer Research (1 paper)Nature Genetics (1 paper)European Journal of Human Genetics (1 paper)
- Partner nations
- United StatesAustraliaFinland
In The Last Decade
Grace Tiao
11 papers receiving 990 citations
Peers
Comparison fields: 5 of 78
- Cancer Research 299
- Immunology 326
- Oncology 335
- Genetics 128
- Pathology and Forensic Medicine 136
Countries citing papers authored by Grace Tiao
This map shows the geographic impact of Grace Tiao'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 Tiao with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Grace Tiao more than expected).
Fields of papers citing papers by Grace Tiao
This network shows the impact of papers produced by Grace Tiao. 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 Tiao. The network helps show where Grace Tiao may publish in the future.
Co-authors
The 25 scholars most cited alongside Grace Tiao, 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 | 2015 | 408 | |
| 2 | 2016 | 233 | |
| 3 | 2015 | 138 | |
| 4 | 2016 | 88 | |
| 5 | 2022 | 53 | |
| 6 | 2012 | 50 | |
| 7 | 2024 | 18 | |
| 8 | 2019 | 4 | |
| 9 | 2013 | 4 | |
| 10 | 2017 | 1 | |
| 11 | 2025 | 1 | |
| 12 | 2015 | 0 |
About Grace Tiao
Grace Tiao is a scholar working on Molecular Biology, Genetics, Immunology, Cancer Research and Genetics, having authored 12 papers that have together received 998 indexed citations. Recurring topics across this work include Cancer Genomics and Diagnostics (4 papers), Chronic Lymphocytic Leukemia Research (3 papers), Genomics and Rare Diseases (3 papers), Genetic Associations and Epidemiology (2 papers), Galectins and Cancer Biology (2 papers), RNA and protein synthesis mechanisms (2 papers), Mitochondrial Function and Pathology (2 papers) and Single-cell and spatial transcriptomics (1 paper). The work is most often cited by research in Cancer Research (299 citations), Immunology (326 citations), Oncology (335 citations), Genetics (128 citations) and Pathology and Forensic Medicine (136 citations). Grace Tiao has collaborated with scholars based in United States, Australia and Finland. Frequent co-authors include Gad Getz, Michael S. Lawrence, Carrie Sougnez, Adam Kieżun, Jaegil Kim, Paz Polak, Michael S. Rooney, Nir Hacohen, Catherine J. Wu and Vladimir Brusić. Their work appears in journals such as Nature Communications, Blood, Clinical Cancer Research, Nature Genetics and European Journal of Human Genetics.
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.