Jing Wei

5.7k citations
143 papers · 4.6k · 2 hit papers · h-index 30

Impact in

  • Pharmacology top 0.5%
    • Berberine and alkaloids research
    • Alkaloids: synthesis and pharmacology
    • Electrospun Nanofibers in Biomedical Applications

Papers in

Jing Wei

135 papers receiving 4.5k citations

Jing Wei's Hit Papers

Treatment of severe COVID-19 with human umbilical cord mesenchymal stem cells 2020 · 214 citations
2140+7+14Years since publication2505007501000

Peers

Jing Wei
Comparison fields: 5 of 136
  • Pharmacology 1.2k
  • Pharmacology 492
  • Biomaterials 439
  • Genetics 314
  • Rehabilitation 129
Replace Li Zhao with:
Li Zhao China
Peng Yang China
Jian Luo China
Zhengfang Yi China
Lidong Wu China
An Qin China
Kalamegam Gauthaman Saudi Arabia
Jingqiu Cheng China
Xia Cao China
Jing Wei relative to Li Zhao China Li Zhao's profile →
Citations per field
00.5×2.7×
Li Zhao · 1×
Citations per year

Countries citing papers authored by Jing Wei

Since Specialization
Citations

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

Fields of papers citing papers by Jing Wei

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 143 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Berberine is a novel cholesterol-lowering drug working through a unique mechanism distinct from statins
Hit paper breakdown →
20041188
2 2009368
3
Treatment of severe COVID-19 with human umbilical cord mesenchymal stem cells
Hit paper breakdown →
2020214
4 2008210
5 2019103
6 201995
7
Hepatitis C virus non-structural protein NS4B can modulate an unfolded protein response.
200585
8 201979
9 201875
10 201568
11 201462
12 201860
13 202256
14 202154
15 201554
16 201551
17 201749
18 201949
19 202248
20 201648

About Jing Wei

Jing Wei is a scholar working on Surgery, Molecular Biology, Biomedical Engineering, Immunology and Biomaterials, having authored 143 papers that have together received 4.6k indexed citations. Recurring topics across this work include Bone Tissue Engineering Materials (18 papers), Tissue Engineering and Regenerative Medicine (18 papers), Electrospun Nanofibers in Biomedical Applications (17 papers), Mesenchymal stem cell research (12 papers), Immune Cell Function and Interaction (9 papers), Graphene and Nanomaterials Applications (9 papers), Wound Healing and Treatments (6 papers) and Berberine and alkaloids research (6 papers). The work is most often cited by research in Pharmacology (1.2k citations), Pharmacology (492 citations), Biomaterials (439 citations), Genetics (314 citations) and Rehabilitation (129 citations). Jing Wei has collaborated with scholars based in China, United States and Canada. Frequent co-authors include Weijia Kong, Zizheng Wang, Zhuorong Li, Shuyi Si, Jian‐Dong Jiang, Parveen Abidi, Yue Wang, Yanling Wang, Jingwen Liu and Satoru Inaba. Their work appears in journals such as Stem Cell Research & Therapy, Chemical Engineering Journal, Journal of Biomedical Materials Research Part A, Journal of Materials Chemistry B and Clinical Rheumatology.

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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