Meng–Huang Wu
- Biological Psychiatry top 10%
-
- Spine and Intervertebral Disc Pathology 32
- Immunology top 10%
- Surgery top 5%
- Spinal Fractures and Fixation Techniques 21
- Pelvic and Acetabular Injuries 8
- Infectious Diseases and Tuberculosis 7
- Anesthesia and Pain Management 6
- Orthopedic Infections and Treatments 6
- Rheumatology top 5%
- Spondyloarthritis Studies and Treatments 10
-
- Bone Tissue Engineering Materials 13
- Co-authors
- Xinyang SongWenfeng ZhengDennis L. KasperChristophe BenoıstYanbo ZhangNaama Geva‐ZatorskyRay JuppSungwhan F. Oh
- Journals
- Journal of Clinical Medicine (5 papers)BMC Musculoskeletal Disorders (5 papers)International Journal of Molecular Sciences (4 papers)
- Partner nations
- TaiwanChinaUnited States
In The Last Decade
Meng–Huang Wu
110 papers receiving 2.6k citations
Hit Papers
Peers
Comparison fields: 5 of 130
- Biological Psychiatry 46
- Pathology and Forensic Medicine 316
- Immunology 367
- Surgery 668
- Rheumatology 221
Countries citing papers authored by Meng–Huang Wu
This map shows the geographic impact of Meng–Huang Wu'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 Meng–Huang Wu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Meng–Huang Wu more than expected).
Fields of papers citing papers by Meng–Huang Wu
This network shows the impact of papers produced by Meng–Huang Wu. 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 Meng–Huang Wu. The network helps show where Meng–Huang Wu may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Meng–Huang Wu, 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 | 2025 | 1 | |
| 2 | 2025 | 2 | |
| 3 | 2024 | 2 | |
| 4 | 2024 | 0 | |
| 5 | 2024 | 4 | |
| 6 | 2024 | 0 | |
| 7 | 2023 | 1 | |
| 8 | Targeting PD-L2–RGMb overcomes microbiome-related immunotherapy resistancebreakdown → | 2023 | 120 |
| 9 | 2023 | 0 | |
| 10 | 2023 | 7 | |
| 11 | 2022 | 19 | |
| 12 | 2022 | 7 | |
| 13 | 2022 | 1 | |
| 14 | 2021 | 4 | |
| 15 | 2021 | 2 | |
| 16 | 2020 | 7 | |
| 17 | 2020 | 5 | |
| 18 | 2019 | 25 | |
| 19 | 2017 | 14 | |
| 20 | 2009 | 202 |
About Meng–Huang Wu
Meng–Huang Wu is a scholar working on Pathology and Forensic Medicine, Surgery, Rheumatology, Rehabilitation and Orthopedics and Sports Medicine, having authored 121 papers that have together received 2.6k indexed citations. Recurring topics across this work include Spine and Intervertebral Disc Pathology (32 papers), Spinal Fractures and Fixation Techniques (21 papers), Bone Tissue Engineering Materials (13 papers), Spondyloarthritis Studies and Treatments (10 papers), Pelvic and Acetabular Injuries (8 papers), Infectious Diseases and Tuberculosis (7 papers), Anesthesia and Pain Management (6 papers) and Orthopedic Infections and Treatments (6 papers). The work is most often cited by research in Biological Psychiatry (46 citations), Pathology and Forensic Medicine (316 citations), Immunology (367 citations), Surgery (668 citations) and Rheumatology (221 citations). Meng–Huang Wu has collaborated with scholars based in Taiwan, China and United States. Frequent co-authors include Xinyang Song, Wenfeng Zheng, Dennis L. Kasper, Christophe Benoıst, Yanbo Zhang, Naama Geva‐Zatorsky, Ray Jupp, Sungwhan F. Oh, Diane Mathis and Tsung‐Jen Huang. Their work appears in journals such as Journal of Clinical Medicine, BMC Musculoskeletal Disorders, International Journal of Molecular Sciences, World Neurosurgery and BioMed Research International.
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.