Meng Si

1.2k citations
40 papers · 952 · h-index 19

Impact in

Papers in

Meng Si

36 papers receiving 937 citations

Peers

Meng Si
Comparison fields: 5 of 104
  • Molecular Medicine 54
  • Orthopedics and Sports Medicine 61
  • Pathology and Forensic Medicine 109
  • Energy Engineering and Power Technology 21
  • Molecular Biology 367
Replace Yifan Song with:
Yifan Song China
Yiming Xu China
Honghao Zhang China
Hye‐Eun Shim South Korea
Jiaxin Liu China
Yuna Shang China
Yu Lu China
Daman J. Adlam United Kingdom
Xi Hu China
Valentina Bizzarro Italy
Meng Si relative to Yifan Song China Yifan Song's profile →
Citations per field
00.5×3.5×
Yifan Song · 1×
Citations per year

Countries citing papers authored by Meng Si

Since Specialization
Citations

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

Fields of papers citing papers by Meng Si

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Meng Si, 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 Meng Si Line = papers co-authored together Meng Si links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 40 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201295
2 201674
3 201874
4 201567
5 201957
6 201452
7 201850
8 201347
9 201446
10 201640
11 202234
12 201833
13
In situ Co-Delivery of Doxorubicin and Cisplatin by Injectable Thermosensitive Hydrogels for Enhanced Osteosarcoma Treatment
202227
14 201327
15 201323
16 202023
17 201921
18 201720
19 201719
20 201217

About Meng Si

Meng Si is a scholar working on Surgery, Molecular Biology, Biomedical Engineering, Pathology and Forensic Medicine and Rheumatology, having authored 40 papers that have together received 952 indexed citations. Recurring topics across this work include Spine and Intervertebral Disc Pathology (4 papers), Nanoparticle-Based Drug Delivery (3 papers), Bone and Joint Diseases (3 papers), Cervical and Thoracic Myelopathy (3 papers), Amyotrophic Lateral Sclerosis Research (2 papers), Gout, Hyperuricemia, Uric Acid (2 papers), Carbon and Quantum Dots Applications (2 papers) and Orthopaedic implants and arthroplasty (2 papers). The work is most often cited by research in Molecular Medicine (54 citations), Orthopedics and Sports Medicine (61 citations), Pathology and Forensic Medicine (109 citations), Energy Engineering and Power Technology (21 citations) and Molecular Biology (367 citations). Meng Si has collaborated with scholars based in China, United States and Thailand. Frequent co-authors include Lin Nie, Jianmin Li, Yong Hou, Yonggang Li, Ling Jiang, Qing Xu, He Huang, Han Yin, Hecheng Ma and Yanyan Yu. Their work appears in journals such as Orthopedics, Oncotarget, PLoS ONE, Cell Death Discovery and International Orthopaedics.

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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