Joy Jiang

502 total citations
19 papers, 357 citations indexed

About

Joy Jiang is a scholar working on Molecular Biology, Health Informatics and Epidemiology. According to data from OpenAlex, Joy Jiang has authored 19 papers receiving a total of 357 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Molecular Biology, 4 papers in Health Informatics and 4 papers in Epidemiology. Recurrent topics in Joy Jiang's work include Metabolism and Genetic Disorders (4 papers), Artificial Intelligence in Healthcare and Education (4 papers) and Multiple Myeloma Research and Treatments (2 papers). Joy Jiang is often cited by papers focused on Metabolism and Genetic Disorders (4 papers), Artificial Intelligence in Healthcare and Education (4 papers) and Multiple Myeloma Research and Treatments (2 papers). Joy Jiang collaborates with scholars based in United States, United Kingdom and Australia. Joy Jiang's co-authors include Jerry Vockley, Haoling H. Weng, Markus Meriläinen, Cary O. Harding, Janet A. Thomas, Roberto T. Zori, Kevin Larimore, Deepraj Ghosh, Michelle Dawson and Barbara K. Burton and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Medicine and Blood.

In The Last Decade

Joy Jiang

16 papers receiving 352 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Joy Jiang United States 8 196 165 143 46 33 19 357
Tanyel Zübarioğlu Türkiye 10 121 0.6× 108 0.7× 56 0.4× 41 0.9× 18 0.5× 52 281
Hanneke A. Haijes Netherlands 12 183 0.9× 262 1.6× 77 0.5× 53 1.2× 10 0.3× 18 409
Fatma Al Jasmi United Arab Emirates 9 76 0.4× 74 0.4× 53 0.4× 58 1.3× 6 0.2× 18 195
Pornswan Wasant Thailand 13 213 1.1× 192 1.2× 81 0.6× 89 1.9× 10 0.3× 53 399
Bianca T. van Maldegem Netherlands 8 223 1.1× 191 1.2× 106 0.7× 27 0.6× 7 0.2× 13 339
Catherine Lynn T. Silao Philippines 9 124 0.6× 79 0.5× 43 0.3× 61 1.3× 21 0.6× 33 287
Emanuela Scolamiero Italy 10 172 0.9× 212 1.3× 81 0.6× 79 1.7× 3 0.1× 14 374
François Labarthe France 11 100 0.5× 188 1.1× 185 1.3× 67 1.5× 3 0.1× 28 412
Christopher J. Gafuik Canada 3 80 0.4× 206 1.2× 29 0.2× 239 5.2× 12 0.4× 4 366
Lotte Kors Netherlands 8 34 0.2× 251 1.5× 43 0.3× 14 0.3× 12 0.4× 9 497

Countries citing papers authored by Joy Jiang

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Joy Jiang

This figure shows the co-authorship network connecting the top 25 collaborators of Joy Jiang. A scholar is included among the top collaborators of Joy Jiang based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Joy Jiang. Joy Jiang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

19 of 19 papers shown
1.
Jiang, Joy, Pushkala Jayaraman, Joshua Lampert, et al.. (2026). ChatGPT Health performance in a structured test of triage recommendations. Nature Medicine.
2.
Jiang, Joy. (2025). Marathon Without a Finish Line: A Learner’s Perspective on AI in Medical Education. Academic Medicine. 100(9S). S43–S45.
3.
Jiang, Joy, et al.. (2024). Evaluation of patient health outcomes of a student-run free clinic in East Harlem. BMC Medical Education. 24(1). 323–323.
4.
Jiang, Joy, Meredith S. Shiels, Donna R. Rivera, et al.. (2024). Trends in hepatocellular carcinoma and viral hepatitis treatment in older Americans. PLoS ONE. 19(11). e0307746–e0307746. 1 indexed citations
5.
Vaid, Akhil, Mayte Suárez‐Fariñas, Sanjeev Kaul, et al.. (2023). Implications of the Use of Artificial Intelligence Predictive Models in Health Care Settings. Annals of Internal Medicine. 176(10). 1358–1369. 23 indexed citations
6.
Goldstein, Jonathan, Justin E. Tang, Michelle Tran, et al.. (2023). How Are We Doing? A Scoping Review of Published Patient-Centered Outcomes Research in United States Student-Run Free Clinics. Teaching and Learning in Medicine. 36(5). 624–636. 3 indexed citations
7.
Restrepo, Paula, Sherry Bhalla, Yogita Ghodke‐Puranik, et al.. (2022). A Three-Gene Signature Predicts Response to Selinexor in Multiple Myeloma. JCO Precision Oncology. 6(6). e2200147–e2200147. 14 indexed citations
8.
Vaid, Akhil, Joy Jiang, Karandeep Singh, et al.. (2022). Automated Determination of Left Ventricular Function Using Electrocardiogram Data in Patients on Maintenance Hemodialysis. Clinical Journal of the American Society of Nephrology. 17(7). 1017–1025. 7 indexed citations
9.
Jiang, Joy, Lili Chan, & Girish N. Nadkarni. (2022). The promise of artificial intelligence for kidney pathophysiology. Current Opinion in Nephrology & Hypertension. 31(4). 380–386. 2 indexed citations
10.
Jiang, Joy, Meredith S. Shiels, & Thomas R. OʼBrien. (2021). Death certificates compared to SEER‐Medicare data for surveillance of liver cancer mortality due to hepatitis B or hepatitis C infection. Journal of Viral Hepatitis. 28(6). 934–941. 3 indexed citations
11.
Restrepo, Paula, Sherry Bhalla, Adolfo Aleman, et al.. (2021). Transcriptomic Correlates of Response to Selinexor in Multiple Myeloma Reveal a Predictive Signature. Blood. 138(Supplement 1). 457–457. 1 indexed citations
12.
Jiang, Joy, Alexander C. Adia, Jennifer Nazareno, et al.. (2021). The Association Between Moderate and Serious Mental Health Distress and General Health Services Utilization Among Chinese, Filipino, Japanese, Korean, and Vietnamese Adults in California. Journal of Racial and Ethnic Health Disparities. 9(1). 227–235. 4 indexed citations
13.
Ghosh, Deepraj, et al.. (2020). Vimentin filaments drive migratory persistence in polyploidal cancer cells. Proceedings of the National Academy of Sciences. 117(43). 26756–26765. 43 indexed citations
14.
Jiang, Joy, et al.. (2020). Alcohol Consumption among Samoan Adults in 2010: Patterns, Correlates and Health Implications. Alcohol and Alcoholism. 55(6). 681–689. 2 indexed citations
15.
Harding, Cary O., Roberto Amato, Nicola Longo, et al.. (2018). Pegvaliase for the treatment of phenylketonuria: A pivotal, double-blind randomized discontinuation Phase 3 clinical trial. PMC. 1 indexed citations
16.
Thomas, Janet A., Harvey L. Levy, Stephen Amato, et al.. (2018). Pegvaliase for the treatment of phenylketonuria: Results of a long-term phase 3 clinical trial program (PRISM). Molecular Genetics and Metabolism. 124(1). 27–38. 134 indexed citations
17.
Longo, Nicola, Roberto T. Zori, Melissa Wasserstein, et al.. (2018). Long-term safety and efficacy of pegvaliase for the treatment of phenylketonuria in adults: combined phase 2 outcomes through PAL-003 extension study. Orphanet Journal of Rare Diseases. 13(1). 108–108. 25 indexed citations
18.
Harding, Cary O., Roberto Amato, Nicola Longo, et al.. (2018). Pegvaliase for the treatment of phenylketonuria: A pivotal, double-blind randomized discontinuation Phase 3 clinical trial. Molecular Genetics and Metabolism. 124(1). 20–26. 60 indexed citations
19.
Walker, Natalie, Colin Howe, Chris Bullen, et al.. (2011). Does improved access and greater choice of nicotine replacement therapy affect smoking cessation success? Findings from a randomized controlled trial. Addiction. 106(6). 1176–1185. 34 indexed citations

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.

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