Haijun Ma

1.2k total citations
46 papers, 599 citations indexed

About

Haijun Ma is a scholar working on Statistics and Probability, Oncology and Surgery. According to data from OpenAlex, Haijun Ma has authored 46 papers receiving a total of 599 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Statistics and Probability, 12 papers in Oncology and 10 papers in Surgery. Recurrent topics in Haijun Ma's work include Statistical Methods in Clinical Trials (16 papers), Cervical and Thoracic Myelopathy (6 papers) and Health Systems, Economic Evaluations, Quality of Life (6 papers). Haijun Ma is often cited by papers focused on Statistical Methods in Clinical Trials (16 papers), Cervical and Thoracic Myelopathy (6 papers) and Health Systems, Economic Evaluations, Quality of Life (6 papers). Haijun Ma collaborates with scholars based in United States, China and United Kingdom. Haijun Ma's co-authors include Bradley P. Carlin, H. Amy Xia, Jinliang Wang, Bin Geng, Jeffrey Zhang, Richard C. Zink, Sudipto Banerjee, Amylou C. Dueck, Tito R. Mendoza and Charles S. Cleeland and has published in prestigious journals such as Journal of Clinical Oncology, SHILAP Revista de lepidopterología and Blood.

In The Last Decade

Haijun Ma

43 papers receiving 577 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Haijun Ma United States 15 179 134 122 114 106 46 599
Greg Carney Canada 12 45 0.3× 21 0.2× 71 0.6× 53 0.5× 75 0.7× 37 620
Lesley Wise United Kingdom 9 71 0.4× 19 0.1× 30 0.2× 49 0.4× 219 2.1× 12 480
Christine G. Kohn United States 17 156 0.9× 14 0.1× 91 0.7× 107 0.9× 144 1.4× 46 954
Timothy Goggin Switzerland 13 54 0.3× 39 0.3× 28 0.2× 26 0.2× 238 2.2× 22 690
Chiara Gerardi Italy 16 424 2.4× 25 0.2× 79 0.6× 105 0.9× 263 2.5× 50 1.0k
Lisa Vandermeer Canada 18 287 1.6× 53 0.4× 34 0.3× 92 0.8× 572 5.4× 108 1.1k
Oscar Fernández Cantero Spain 6 99 0.6× 97 0.7× 12 0.1× 103 0.9× 21 0.2× 8 409
Mo Dimbil United States 6 83 0.5× 20 0.1× 23 0.2× 46 0.4× 41 0.4× 7 455
Jetty A. Overbeek Netherlands 14 115 0.6× 10 0.1× 21 0.2× 46 0.4× 112 1.1× 57 716
Brigitte Bloechl‐Daum Austria 8 357 2.0× 116 0.9× 35 0.3× 294 2.6× 83 0.8× 8 939

Countries citing papers authored by Haijun Ma

Since Specialization
Citations

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

Fields of papers citing papers by Haijun Ma

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Haijun Ma. 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 Haijun Ma. The network helps show where Haijun Ma may publish in the future.

Co-authorship network of co-authors of Haijun Ma

This figure shows the co-authorship network connecting the top 25 collaborators of Haijun Ma. A scholar is included among the top collaborators of Haijun Ma 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 Haijun Ma. Haijun Ma 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
1.
Ma, Haijun, et al.. (2025). The correlation between heavy metal ions in blood and metabolic dysfunction-associated steatotic liver disease from 1999 to 2018 based on NHANES data. Frontiers in Public Health. 12. 1512901–1512901. 1 indexed citations
2.
He, Philip, Haijun Ma, Revathi Ananthakrishnan, et al.. (2025). Ensuring Quality and Interpretability of Progression Free Survival and Overall Survival in Oncology Clinical Trials. Therapeutic Innovation & Regulatory Science. 59(6). 1495–1505.
3.
Zhan, Lijuan, et al.. (2025). Clinical efficacy and learning curve of percutaneous endoscopic cervical discectomy for symptomatic cervical spondylotic radiculopathy. Journal of Orthopaedic Surgery and Research. 20(1). 138–138.
4.
Albigès, Laurence, Robert J. Motzer, Ravindran Kanesvaran, et al.. (2025). Cabozantinib (C) in combination with nivolumab (N) and ipilimumab (I) in previously untreated advanced renal cell carcinoma (aRCC): Final results of COSMIC-313.. Journal of Clinical Oncology. 43(5_suppl). 438–438. 5 indexed citations
5.
Ma, Haijun, et al.. (2024). Ask or Recommend: An Empirical Study on Conversational Product Search. UvA-DARE (University of Amsterdam). 3927–3931. 3 indexed citations
6.
Ma, Haijun, Bao Hai, Ming Yan, Xiaoguang Liu, & Bin Zhu. (2021). Evaluation of Effectiveness of Treatment Strategies for Degenerative Lumbar Spinal Stenosis: A Systematic Review and Network Meta-Analysis of Clinical Studies. World Neurosurgery. 152. 95–106. 5 indexed citations
7.
8.
Ma, Haijun, et al.. (2018). Sources of Safety Data and Statistical Strategies for Design and Analysis: Transforming Data Into Evidence. Therapeutic Innovation & Regulatory Science. 52(2). 187–198. 5 indexed citations
9.
Izem, Rima, et al.. (2018). Sources of Safety Data and Statistical Strategies for Design and Analysis: Postmarket Surveillance. Therapeutic Innovation & Regulatory Science. 52(2). 159–169. 18 indexed citations
10.
Schiødt, Morten, Saroj Vadhan‐Raj, Mark S. Chambers, et al.. (2017). A multicenter case registry study on medication-related osteonecrosis of the jaw in patients with advanced cancer. Supportive Care in Cancer. 26(6). 1905–1915. 44 indexed citations
11.
Hodges, James S., et al.. (2016). Hierarchical Bayesian approaches for detecting inconsistency in network meta-analysis. Statistics in Medicine. 35(20). 3524–3536. 9 indexed citations
12.
Hobbs, Brian P., et al.. (2016). Combining non-randomized and randomized data in clinical trials using commensurate priors. Health Services and Outcomes Research Methodology. 16(3). 154–171. 14 indexed citations
13.
14.
Ma, Haijun, Chunlei Ke, Qi Jiang, & Steven Snapinn. (2015). Statistical Considerations on the Evaluation of Imbalances of Adverse Events in Randomized Clinical Trials. Therapeutic Innovation & Regulatory Science. 49(6). 957–965. 11 indexed citations
15.
Ma, Haijun, et al.. (2015). Proton Pump Inhibitor Therapy for the Treatment of Laryngopharyngeal Reflux. Journal of Clinical Gastroenterology. 50(4). 295–300. 49 indexed citations
16.
Gould, A. Lawrence, Ted Lystig, Yun Lu, Haoda Fu, & Haijun Ma. (2014). Methods and Issues to Consider for Detection of Safety Signals From Spontaneous Reporting Databases: A Report of the DIA Bayesian Safety Signal Detection Working Group. Therapeutic Innovation & Regulatory Science. 49(1). 65–75. 5 indexed citations
17.
Ma, Haijun, Bradley P. Carlin, & Sudipto Banerjee. (2009). Hierarchical and Joint Site‐Edge Methods for Medicare Hospice Service Region Boundary Analysis. Biometrics. 66(2). 355–364. 25 indexed citations
18.
Carlin, Bradley P. & Haijun Ma. (2007). Bayesian multivariate areal wombling for multiple disease boundary analysis. Bayesian Analysis. 2(2). 28 indexed citations
19.
Ma, Haijun, Beth A Virnig, & Bradley P. Carlin. (2006). Spatial methods in areal administrative data analysis. Italian Journal of Public Health. 3(3-4). 3 indexed citations
20.
Ma, Haijun, et al.. (2002). An intelligent progress note system for MEDAS (a Bayesian medical expert system). 484–491. 2 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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