Qingjun Wei

700 citations
32 papers · 503 · h-index 16

Impact in

Papers in

Qingjun Wei

30 papers receiving 498 citations

Peers

Qingjun Wei
Comparison fields: 5 of 82
  • Rheumatology 126
  • Pathology and Forensic Medicine 88
  • Pharmacology 74
  • Complementary and alternative medicine 30
  • Cancer Research 44
Replace Zhonghui Chen with:
Zhonghui Chen China
Liaojun Sun China
Ximiao Chen China
Sung-Yen Lin Taiwan
Thomas Mabey Thailand
Linwei Chen China
Peijian Tong China
Jihang Dai China
Catrin Davies United States
Qingjun Wei relative to Zhonghui Chen China Zhonghui Chen's profile →
Citations per field
00.5×1.5×1.9×
Zhonghui Chen · 1×
Citations per year

Countries citing papers authored by Qingjun Wei

Since Specialization
Citations

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

Fields of papers citing papers by Qingjun Wei

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 32 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202153
2 201750
3 202240
4 202126
5 202124
6 201924
7 202223
8 201921
9 201620
10 201618
11 201718
12 201817
13 202217
14 202017
15 202317
16 202015
17 202411
18 202211
19 201511
20 202410

About Qingjun Wei

Qingjun Wei is a scholar working on Pathology and Forensic Medicine, Rheumatology, Molecular Biology, Pulmonary and Respiratory Medicine and Oncology, having authored 32 papers that have together received 503 indexed citations. Recurring topics across this work include Spine and Intervertebral Disc Pathology (9 papers), Osteoarthritis Treatment and Mechanisms (5 papers), Natural Compounds in Disease Treatment (4 papers), Sarcoma Diagnosis and Treatment (3 papers), Cell Adhesion Molecules Research (3 papers), Cancer-related molecular mechanisms research (3 papers), Bone Tumor Diagnosis and Treatments (2 papers) and Plant Toxicity and Pharmacological Properties (2 papers). The work is most often cited by research in Rheumatology (126 citations), Pathology and Forensic Medicine (88 citations), Pharmacology (74 citations), Complementary and alternative medicine (30 citations) and Cancer Research (44 citations). Qingjun Wei has collaborated with scholars based in China, Australia and United States. Frequent co-authors include Hua Jiang, Xinli Zhan, Li Zheng, Zengming Xiao, Xixi He, Mingwei He, Zhenhui Lu, Zainen Qin, Xiaonan Liang and Jiaqi Wang. Their work appears in journals such as Scientific Reports, Journal of Orthopaedic Surgery and Research, Regenerative Biomaterials, BMC Cancer and BMC Complementary Medicine and Therapies.

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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