Mingxia Wang

3.0k citations
157 papers · 2.3k · 1 hit paper · h-index 24

Impact in

Papers in

Mingxia Wang

147 papers receiving 2.2k citations

Mingxia Wang's Hit Papers

BCMA-CD19 compound CAR T cells for systemic lupus erythematosus: a phase 1 open-label clinical trial 2024 · 145 citations
1450+1Years since publication4080120

Peers

Mingxia Wang
Comparison fields: 5 of 156
  • Biochemistry 87
  • Electrochemistry 76
  • Complementary and alternative medicine 94
  • Neurology 89
  • Oncology 273
Replace Yang Hee Kim with:
Yang Hee Kim South Korea
Kuan‐Hung Lin Taiwan
Mina K. Kim South Korea
Hui Ding China
Dianxin Liu United States
Xiao‐Jing Yu China
Jian Zheng China
Lulu Xu China
Tatsuya Hoshino Japan
Mingxia Wang relative to Yang Hee Kim South Korea Yang Hee Kim's profile →
Citations per field
00.5×2×3.3×
Yang Hee Kim · 1×
Citations per year

Countries citing papers authored by Mingxia Wang

Since Specialization
Citations

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

Fields of papers citing papers by Mingxia Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 157 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2009220
2 2020149
3
BCMA-CD19 compound CAR T cells for systemic lupus erythematosus: a phase 1 open-label clinical trial
Hit paper breakdown →
2024145
4 200898
5 201779
6 200276
7 201958
8 201353
9 201347
10 201436
11 202236
12 201934
13 201934
14 201933
15 201932
16 201331
17 201531
18 201731
19 202331
20 200630

About Mingxia Wang

Mingxia Wang is a scholar working on Molecular Biology, Cancer Research, Oncology, Complementary and alternative medicine and Pharmacology, having authored 157 papers that have together received 2.3k indexed citations. Recurring topics across this work include Lung Cancer Treatments and Mutations (8 papers), Advanced biosensing and bioanalysis techniques (6 papers), Traditional Chinese Medicine Analysis (6 papers), Colorectal Cancer Treatments and Studies (5 papers), Electrochemical sensors and biosensors (5 papers), CRISPR and Genetic Engineering (5 papers), Animal Disease Management and Epidemiology (4 papers) and Lung Cancer Research Studies (4 papers). The work is most often cited by research in Biochemistry (87 citations), Electrochemistry (76 citations), Complementary and alternative medicine (94 citations), Neurology (89 citations) and Oncology (273 citations). Mingxia Wang has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Runqing Li, Baoen Shan, Pengmin Qin, Georg Northoff, Huayu Huang, Jing‐Yu Fan, Jing‐Yan Han, Junjie Ma, Xin Zhang and Yuying Liu. Their work appears in journals such as Drug Design Development and Therapy, Nature Communications, Journal of Ethnopharmacology, Frontiers in Plant Science and Frontiers in Pharmacology.

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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