Mingchen Lv

428 citations
18 papers · 336 · h-index 9

Impact in

  • Biomaterials top 10%
    • Supramolecular Self-Assembly in Materials
    • Nanoparticle-Based Drug Delivery
    • Wound Healing and Treatments

Papers in

Mingchen Lv

16 papers receiving 333 citations

Peers

Mingchen Lv
Comparison fields: 5 of 72
  • Biomaterials 106
  • Rehabilitation 28
  • Microbiology 23
  • Biomedical Engineering 160
  • Molecular Medicine 11
Replace Erica B. Peters with:
Erica B. Peters United States
Mengni Fan China
Baiqiang Huang United States
Fengyong Liu China
Marta Kumorek Czechia
Yakun Liang China
Suwei Zhu China
Rajesh Lakshmanan United States
Dakota J. Suchyta United States
K. Vijaya Krishna India
Mingchen Lv relative to Erica B. Peters United States Erica B. Peters's profile →
Citations per field
00.5×
Erica B. Peters · 1×
Citations per year

Countries citing papers authored by Mingchen Lv

Since Specialization
Citations

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

Fields of papers citing papers by Mingchen Lv

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

18 of 18 papers shown
#Work
1 202378
2 202278
3 202166
4 202131
5 202223
6 202213
7 202410
8 20229
9 20218
10 20246
11 20245
12 20243
13 20252
14 20252
15 20251
16 20251
17 20250
18 20250

About Mingchen Lv

Mingchen Lv is a scholar working on Biomaterials, Biomedical Engineering, Molecular Biology, Organic Chemistry and Surgery, having authored 18 papers that have together received 336 indexed citations. Recurring topics across this work include Nanoplatforms for cancer theranostics (7 papers), Supramolecular Self-Assembly in Materials (6 papers), Advanced biosensing and bioanalysis techniques (2 papers), Alzheimer's disease research and treatments (2 papers), Nanoparticle-Based Drug Delivery (2 papers), Chemical Synthesis and Analysis (2 papers), Click Chemistry and Applications (2 papers) and Bone and Joint Diseases (2 papers). The work is most often cited by research in Biomaterials (106 citations), Rehabilitation (28 citations), Microbiology (23 citations), Biomedical Engineering (160 citations) and Molecular Medicine (11 citations). Mingchen Lv has collaborated with scholars based in China and United States. Frequent co-authors include Zhen Fan, Jianzhong Du, Min Sun, Erik Jan Cornel, Yunqing Zhu, Danqing Liu, Tong Wu, Xiaogang Wang, Xinyue Zhang and Fan Zhang. Their work appears in journals such as Chemistry of Materials, ACS Applied Materials & Interfaces, Journal of the American Chemical Society, New Journal of Chemistry and Advanced Healthcare Materials.

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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