Huijing Wang

1.3k citations
68 papers · 960 · h-index 18

Impact in

Papers in

Huijing Wang

62 papers receiving 950 citations

Peers

Huijing Wang
Comparison fields: 5 of 133
  • Biomaterials 117
  • Rehabilitation 52
  • Endocrine and Autonomic Systems 49
  • Genetics 72
  • Rheumatology 82
Replace Da Jing with:
Da Jing China
Zong‐Ping Luo United States
David W. Hammers United States
Jana Musı́lková Czechia
Christelle Bonod‐Bidaud France
Claire Robertson United States
Nicholas S. Kalson United Kingdom
Madhu Dhar United States
Agnese Pellati Italy
Pedro Guillén Spain
Huijing Wang relative to Da Jing China Da Jing's profile →
Citations per field
00.5×1.5×2.4×
Da Jing · 1×
Citations per year

Countries citing papers authored by Huijing Wang

Since Specialization
Citations

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

Fields of papers citing papers by Huijing Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 68 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201687
2 202185
3 202084
4 202050
5 201949
6 202145
7 202245
8 202342
9 202039
10 202238
11 202035
12 202331
13 201829
14 201124
15 201922
16 202220
17 202120
18 202317
19 202115
20 202112

About Huijing Wang

Huijing Wang is a scholar working on Molecular Biology, Biomaterials, Cancer Research, Surgery and Cellular and Molecular Neuroscience, having authored 68 papers that have together received 960 indexed citations. Recurring topics across this work include Electrospun Nanofibers in Biomedical Applications (9 papers), RNA Interference and Gene Delivery (7 papers), Tissue Engineering and Regenerative Medicine (6 papers), Mesenchymal stem cell research (5 papers), Adhesion, Friction, and Surface Interactions (5 papers), Cancer-related molecular mechanisms research (4 papers), MicroRNA in disease regulation (4 papers) and Systemic Lupus Erythematosus Research (3 papers). The work is most often cited by research in Biomaterials (117 citations), Rehabilitation (52 citations), Endocrine and Autonomic Systems (49 citations), Genetics (72 citations) and Rheumatology (82 citations). Huijing Wang has collaborated with scholars based in China, Sweden and United States. Frequent co-authors include Wei Fu, Bingqian Yan, Nevin Witman, Yao Tan, Zhi‐Li Huang, Wei‐Min Qu, Ze Zhang, Chao Zhao, Kenneth R. Chien and Yao Fu. Their work appears in journals such as Stem Cell Research & Therapy, Lupus Science & Medicine, Journal of Translational Medicine, Molecular Therapy and Pharmaceutics.

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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