Haijun Ma

43 papers receiving 602 citations

Peers

Haijun Ma
Comparison fields: 5 of 88
  • Statistics and Probability 110
  • Toxicology 44
  • Gastroenterology 49
  • Pathology and Forensic Medicine 79
  • Orthopedics and Sports Medicine 38
Replace Brigitte Bloechl‐Daum with:
Brigitte Bloechl‐Daum Austria
Min‐Hua Jen United Kingdom
Chiara Gerardi Italy
Timothy Goggin Switzerland
Lilia Talarico United States
Norbert Holländer Germany
Elizabeth M. Garry United States
Panpan Wang China
Patrick Caubel United States
Ylenia Ingrasciotta Italy
Haijun Ma relative to Brigitte Bloechl‐Daum Austria Brigitte Bloechl‐Daum's profile →
Citations per field
00.5×10×20×30×38×
Brigitte Bloechl‐Daum · 1×
Citations per year

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-authors

The 25 scholars most cited alongside Haijun Ma, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Haijun Ma Line = papers co-authored together Haijun Ma links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 47 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201754
2 201552
3 201745
4 201143
5 201939
6 202136
7 200728
8 202127
9 200926
10 202026
11 201323
12 201321
13 201721
14 201818
15 201615
16 202013
17 201511
18 201510
19 202210
20
[Systematic review of gastrointestinal injury caused by magnetic foreign body ingestions in children and adolescence].
20119

About Haijun Ma

Haijun Ma is a scholar working on Statistics and Probability, Oncology, Economics and Econometrics, Surgery and Statistics, Probability and Uncertainty, having authored 47 papers that have together received 624 indexed citations. Recurring topics across this work include Statistical Methods in Clinical Trials (15 papers), Cervical and Thoracic Myelopathy (6 papers), Advanced Causal Inference Techniques (5 papers), Health Systems, Economic Evaluations, Quality of Life (5 papers), Bone health and treatments (5 papers), Meta-analysis and systematic reviews (4 papers), Multiple Myeloma Research and Treatments (3 papers) and Spine and Intervertebral Disc Pathology (3 papers). The work is most often cited by research in Statistics and Probability (110 citations), Toxicology (44 citations), Gastroenterology (49 citations), Pathology and Forensic Medicine (79 citations) and Orthopedics and Sports Medicine (38 citations). Haijun Ma has collaborated with scholars based in United States, China and United Kingdom. Frequent co-authors include Bradley P. Carlin, H. Amy Xia, Jinliang Wang, Bin Geng, Jeffrey Zhang, Richard C. Zink, Sudipto Banerjee, Amylou C. Dueck, Qiuling Shi and Tito R. Mendoza. Their work appears in journals such as Therapeutic Innovation & Regulatory Science, Statistics in Biopharmaceutical Research, Journal of Biopharmaceutical Statistics, Journal of Clinical Oncology and Pharmacoepidemiology and Drug Safety.

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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