H. Amy Xia

1.1k total citations
27 papers, 776 citations indexed

About

H. Amy Xia is a scholar working on Statistics and Probability, Pathology and Forensic Medicine and Economics and Econometrics. According to data from OpenAlex, H. Amy Xia has authored 27 papers receiving a total of 776 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Statistics and Probability, 6 papers in Pathology and Forensic Medicine and 6 papers in Economics and Econometrics. Recurrent topics in H. Amy Xia's work include Statistical Methods in Clinical Trials (16 papers), Health Systems, Economic Evaluations, Quality of Life (6 papers) and Meta-analysis and systematic reviews (4 papers). H. Amy Xia is often cited by papers focused on Statistical Methods in Clinical Trials (16 papers), Health Systems, Economic Evaluations, Quality of Life (6 papers) and Meta-analysis and systematic reviews (4 papers). H. Amy Xia collaborates with scholars based in United States, China and Switzerland. H. Amy Xia's co-authors include Seth R. Stevens, Alice B. Gottlieb, Bruce Freundlich, Bradley P. Carlin, Kenneth B. Gordon, Sewon Kang, Angela Moore, Haijun Ma, Qi Jiang and Joseph G. Ibrahim and has published in prestigious journals such as PLoS ONE, Biometrics and Biochemical and Biophysical Research Communications.

In The Last Decade

H. Amy Xia

25 papers receiving 742 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
H. Amy Xia United States 15 284 276 175 151 116 27 776
Margaret Gamalo United States 14 124 0.4× 280 1.0× 140 0.8× 240 1.6× 623 5.4× 52 1.2k
Sue‐Jane Wang United States 24 175 0.6× 1.4k 5.2× 470 2.7× 22 0.1× 34 0.3× 73 1.9k
Matt Hutmacher United States 11 77 0.3× 155 0.6× 92 0.5× 69 0.5× 43 0.4× 15 618
Gautier Paux France 9 26 0.1× 64 0.2× 38 0.2× 34 0.2× 38 0.3× 26 394
Matthew M. Hutmacher United States 14 68 0.2× 168 0.6× 52 0.3× 75 0.5× 14 0.1× 31 554
Vivek Pradhan United States 12 173 0.6× 77 0.3× 11 0.1× 54 0.4× 72 0.6× 26 491
Craig E. Grossman United States 11 233 0.8× 21 0.1× 43 0.2× 172 1.1× 4 0.0× 24 784
Sivem Afach France 9 330 1.2× 7 0.0× 75 0.4× 57 0.4× 203 1.8× 17 452
André Happe France 14 63 0.2× 15 0.1× 31 0.2× 32 0.2× 51 0.4× 34 516
Marisa Papaluca‐Amati Netherlands 10 47 0.2× 87 0.3× 75 0.4× 14 0.1× 16 0.1× 11 395

Countries citing papers authored by H. Amy Xia

Since Specialization
Citations

This map shows the geographic impact of H. Amy Xia'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 H. Amy Xia with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites H. Amy Xia more than expected).

Fields of papers citing papers by H. Amy Xia

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by H. Amy Xia. 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 H. Amy Xia. The network helps show where H. Amy Xia may publish in the future.

Co-authorship network of co-authors of H. Amy Xia

This figure shows the co-authorship network connecting the top 25 collaborators of H. Amy Xia. A scholar is included among the top collaborators of H. Amy Xia 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 H. Amy Xia. H. Amy Xia is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
2.
Jiang, Xun, et al.. (2024). LEAP: the latent exchangeability prior for borrowing information from historical data. Biometrics. 80(3). 1 indexed citations
3.
Jiang, Xun, et al.. (2023). Landmark mediation survival analysis using longitudinal surrogate. Frontiers in Oncology. 12. 999324–999324. 2 indexed citations
4.
Jiang, Xun, et al.. (2021). A survival mediation model with Bayesian model averaging. Statistical Methods in Medical Research. 30(11). 2413–2427. 4 indexed citations
5.
Jiang, Xun, et al.. (2021). Predicting outcomes of phase III oncology trials with Bayesian mediation modeling of tumor response. Statistics in Medicine. 41(4). 751–768. 5 indexed citations
6.
Huang, Jiaqiang, et al.. (2021). Screening of key biomarkers of tendinopathy based on bioinformatics and machine learning algorithms. PLoS ONE. 16(10). e0259475–e0259475. 14 indexed citations
7.
Wu, Jing, et al.. (2020). Efficacy and safety of milk thistle preventive treatment of anti-tuberculosis drug-induced liver injury. Medicine. 99(52). e23674–e23674. 4 indexed citations
8.
Liu, Zhaoxiang, Hua Zhang, H. Amy Xia, et al.. (2019). CD8 T cell-derived perforin aggravates secondary spinal cord injury through destroying the blood-spinal cord barrier. Biochemical and Biophysical Research Communications. 512(2). 367–372. 36 indexed citations
9.
Gamalo, Margaret, Cynthia Basu, Xin Zhao, et al.. (2017). Statistical modeling for Bayesian extrapolation of adult clinical trial information in pediatric drug evaluation. Pharmaceutical Statistics. 16(4). 232–249. 56 indexed citations
10.
Xia, H. Amy & Qi Jiang. (2013). Statistical Evaluation of Drug Safety Data. Therapeutic Innovation & Regulatory Science. 48(1). 109–120. 9 indexed citations
11.
Price, Karen, H. Amy Xia, Mani Lakshminarayanan, et al.. (2013). Bayesian methods for design and analysis of safety trials. Pharmaceutical Statistics. 13(1). 13–24. 20 indexed citations
12.
Yao, Bin, Li Zhu, Qi Jiang, & H. Amy Xia. (2013). Safety Monitoring in Clinical Trials. Pharmaceutics. 5(1). 94–106. 51 indexed citations
13.
Chen, Ming‐Hui, et al.. (2013). Bayesian sequential meta‐analysis design in evaluating cardiovascular risk in a new antidiabetic drug development program. Statistics in Medicine. 33(9). 1600–1618. 15 indexed citations
14.
Ohlssen, David, Karen Price, H. Amy Xia, et al.. (2013). Guidance on the implementation and reporting of a drug safety Bayesian network meta‐analysis. Pharmaceutical Statistics. 13(1). 55–70. 23 indexed citations
15.
Berlin, Jesse A., et al.. (2012). Meta-analysis of clinical trial safety data in a drug development program: Answers to frequently asked questions. Clinical Trials. 10(1). 20–31. 26 indexed citations
16.
Ibrahim, Joseph G., Ming‐Hui Chen, H. Amy Xia, & Thomas Liu. (2011). Bayesian Meta‐Experimental Design: Evaluating Cardiovascular Risk in New Antidiabetic Therapies to Treat Type 2 Diabetes. Biometrics. 68(2). 578–586. 39 indexed citations
17.
Gelfand, Joel M., Alexa B. Kimball, Eliot N. Mostow, et al.. (2007). Patient-Reported Outcomes and Health-Care Resource Utilization in Patients with Psoriasis Treated with Etanercept: Continuous versus Interrupted Treatment. Value in Health. 11(3). 400–407. 51 indexed citations
18.
Moore, Angela, Kenneth B. Gordon, Sewon Kang, et al.. (2006). A randomized, open-label trial of continuous versus interrupted etanercept therapy in the treatment of psoriasis. Journal of the American Academy of Dermatology. 56(4). 598–603. 126 indexed citations
19.
Goldman, John A., H. Amy Xia, Barbara White, & Harold E. Paulus. (2006). Evaluation of a modified ACR20 scoring system in patients with rheumatoid arthritis receiving treatment with etanercept. Annals of the Rheumatic Diseases. 65(12). 1649–1652. 11 indexed citations
20.
Weaver, Arthur L., Michael Schiff, Allan Gibofsky, et al.. (2005). Real-world effectiveness of select biologic and DMARD monotherapy and combination therapy in the treatment of rheumatoid arthritis: results from the RADIUS observational registry. Current Medical Research and Opinion. 22(1). 185–198. 57 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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