Fanda Meng

730 citations
29 papers · 536 · h-index 14

Impact in

Papers in

Fanda Meng

29 papers receiving 531 citations

Peers

Fanda Meng
Comparison fields: 5 of 102
  • Pharmaceutical Science 44
  • Spectroscopy 102
  • Safety Research 45
  • Biochemistry 34
  • Food Science 74
Replace Jason R. E. Shepard with:
Jason R. E. Shepard United States
Ke‐Rang Wang China
Mohd Zulkefeli Malaysia
Sara Tortorella Italy
Hugo A. L. Filipe Portugal
Andrew Stine United States
Valeriya Trusova Ukraine
Xiling Yue United States
Pieter E. S. Smith United States
Mansoore Esmaili Canada
Fanda Meng relative to Jason R. E. Shepard United States Jason R. E. Shepard's profile →
Citations per field
00.5×10×15×
Jason R. E. Shepard · 1×
Citations per year

Countries citing papers authored by Fanda Meng

Since Specialization
Citations

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

Fields of papers citing papers by Fanda Meng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 29 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202281
2 202062
3 202256
4 202354
5 202134
6 202033
7 202320
8 202118
9 202416
10 202114
11 202214
12 202413
13 202013
14 202013
15 202413
16 202412
17 202312
18 201910
19 20168
20 20247

About Fanda Meng

Fanda Meng is a scholar working on Molecular Biology, Pharmaceutical Science, Biomedical Engineering, Materials Chemistry and Dermatology, having authored 29 papers that have together received 536 indexed citations. Recurring topics across this work include Advancements in Transdermal Drug Delivery (6 papers), Luminescence and Fluorescent Materials (5 papers), Molecular Sensors and Ion Detection (4 papers), Dermatology and Skin Diseases (4 papers), Advanced biosensing and bioanalysis techniques (4 papers), Food composition and properties (3 papers), Proteins in Food Systems (3 papers) and Nanoplatforms for cancer theranostics (3 papers). The work is most often cited by research in Pharmaceutical Science (44 citations), Spectroscopy (102 citations), Safety Research (45 citations), Biochemistry (34 citations) and Food Science (74 citations). Fanda Meng has collaborated with scholars based in China, Sweden and United Kingdom. Frequent co-authors include Jie Lian, Wei Wang, Qiang Xü, Aldo Jesorka, Guangle Niu, Esteban Pedrueza‐Villalmanzo, Huan Wang, İrep Gözen, Inga Põldsalu and Jing Xu. Their work appears in journals such as Frontiers in Chemistry, Food Hydrocolloids, International Immunopharmacology, Journal of Agricultural and Food Chemistry and ACS Omega.

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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