Hai Meng

916 citations
47 papers · 679 · h-index 15

Impact in

  • Rheumatology top 10%
    • Osteoarthritis Treatment and Mechanisms
    • Cancer-related molecular mechanisms research
    • MicroRNA in disease regulation

Papers in

Hai Meng

46 papers receiving 668 citations

Peers

Hai Meng
Comparison fields: 5 of 104
  • Rheumatology 107
  • Cancer Research 98
  • Pathology and Forensic Medicine 98
  • Surgery 179
  • Pharmacology 40
Replace Changhong Chen with:
Changhong Chen China
Chang Lu China
Lijun Duan China
Liangjun Li China
Yijie Liu China
Binbin Ni China
Hongfeng Ruan China
Havva Erdem Türkiye
Laura Martínez‐Arias Spain
Hai Meng relative to Changhong Chen China Changhong Chen's profile →
Citations per field
00.5×2×2.7×
Changhong Chen · 1×
Citations per year

Countries citing papers authored by Hai Meng

Since Specialization
Citations

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

Fields of papers citing papers by Hai Meng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Hai Meng, 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 Hai Meng Line = papers co-authored together Hai Meng 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 2015124
2 201761
3 201851
4 201242
5 201636
6 201528
7 201627
8 201524
9 199023
10 201619
11 201318
12 201418
13 201616
14
Serum lipid profile in gynecologic tumors: a retrospective clinical study of 1,550 patients.
201615
15 201615
16 202214
17 202314
18 202113
19 201913
20 202010

About Hai Meng

Hai Meng is a scholar working on Surgery, Pathology and Forensic Medicine, Molecular Biology, Rheumatology and Biomedical Engineering, having authored 47 papers that have together received 679 indexed citations. Recurring topics across this work include Spine and Intervertebral Disc Pathology (10 papers), Osteoarthritis Treatment and Mechanisms (6 papers), Spinal Fractures and Fixation Techniques (6 papers), Medical Imaging and Analysis (4 papers), Cervical and Thoracic Myelopathy (3 papers), Bone Metabolism and Diseases (2 papers), Autophagy in Disease and Therapy (2 papers) and Inflammatory mediators and NSAID effects (2 papers). The work is most often cited by research in Rheumatology (107 citations), Cancer Research (98 citations), Pathology and Forensic Medicine (98 citations), Surgery (179 citations) and Pharmacology (40 citations). Hai Meng has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Yong Yang, Jisheng Lin, Nan Su, Ai Guo, Qi Fei, Jinjun Li, Lifeng Ma, Nitao Cheng, Dong Li and Xiaodong Bai. Their work appears in journals such as Journal of Orthopaedic Surgery and Research, International Journal of Molecular Medicine, Journal of Visualized Experiments, Therapeutics and Clinical Risk Management and World Neurosurgery.

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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