Joy Jiang
Impact in
- Clinical Biochemistry top 2%
- Metabolism and Genetic Disorders
- Health Informatics top 10%
- Artificial Intelligence in Healthcare and Education
Papers in
-
- Metabolism and Genetic Disorders 4
-
- Mitochondrial Function and Pathology 1
- Protein Degradation and Inhibitors 1
- Co-authors
- Jerry Vockley (4 shared papers)Cary O. Harding (3 shared papers)Markus Meriläinen (3 shared papers)Haoling H. Weng (3 shared papers)Janet A. Thomas (2 shared papers)Kevin Larimore (2 shared papers)Roberto T. Zori (2 shared papers)Deborah A. Bilder (1 shared paper)
- Journals
- Molecular Genetics and Metabolism (2 papers)Alcohol and Alcoholism (1 paper)Blood (1 paper)Academic Medicine (1 paper)Current Opinion in Nephrology & Hypertension (1 paper)
- Partner nations
- United StatesUnited KingdomNew Zealand
In The Last Decade
Joy Jiang
19 papers receiving 386 citations
Peers
Comparison fields: 5 of 63
- Clinical Biochemistry 196
- Health Informatics 15
- Physiology 99
- Molecular Biology 124
- Biochemistry 13
Countries citing papers authored by Joy Jiang
This map shows the geographic impact of Joy Jiang'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 Joy Jiang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Joy Jiang more than expected).
Fields of papers citing papers by Joy Jiang
This network shows the impact of papers produced by Joy Jiang. 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 Joy Jiang. The network helps show where Joy Jiang may publish in the future.
Co-authors
The 25 scholars most cited alongside Joy Jiang, 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 | 2018 | 145 | |
| 2 | 2018 | 64 | |
| 3 | 2020 | 46 | |
| 4 | 2011 | 34 | |
| 5 | 2023 | 27 | |
| 6 | 2018 | 25 | |
| 7 | 2022 | 14 | |
| 8 | 2022 | 8 | |
| 9 | 2026 | 5 | |
| 10 | 2022 | 4 | |
| 11 | 2021 | 4 | |
| 12 | 2020 | 3 | |
| 13 | 2021 | 3 | |
| 14 | 2023 | 3 | |
| 15 | 2024 | 2 | |
| 16 | 2025 | 1 | |
| 17 | Pegvaliase for the treatment of phenylketonuria: A pivotal, double-blind randomized discontinuation Phase 3 clinical trial | 2018 | 1 |
| 18 | 2021 | 1 | |
| 19 | 2024 | 1 |
About Joy Jiang
Joy Jiang is a scholar working on Clinical Biochemistry, Molecular Biology, Epidemiology, Oncology and Health Informatics, having authored 19 papers that have together received 391 indexed citations. Recurring topics across this work include Metabolism and Genetic Disorders (4 papers), Multiple Myeloma Research and Treatments (2 papers), Artificial Intelligence in Healthcare and Education (2 papers), Hepatitis B Virus Studies (1 paper), Mitochondrial Function and Pathology (1 paper), Protein Degradation and Inhibitors (1 paper), Global Cancer Incidence and Screening (1 paper) and Drug Transport and Resistance Mechanisms (1 paper). The work is most often cited by research in Clinical Biochemistry (196 citations), Health Informatics (15 citations), Physiology (99 citations), Molecular Biology (124 citations) and Biochemistry (13 citations). Joy Jiang has collaborated with scholars based in United States, United Kingdom and New Zealand. Frequent co-authors include Jerry Vockley, Cary O. Harding, Markus Meriläinen, Haoling H. Weng, Janet A. Thomas, Kevin Larimore, Roberto T. Zori, Deborah A. Bilder, Stephen Amato and Michelle Dawson. Their work appears in journals such as Molecular Genetics and Metabolism, Alcohol and Alcoholism, Blood, Academic Medicine and Current Opinion in Nephrology & Hypertension.
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.