Feng Sang

759 citations
35 papers · 648 · h-index 10

Impact in

    • Electrospun Nanofibers in Biomedical Applications
    • Silk-based biomaterials and applications
    • biodegradable polymer synthesis and properties
    • Bone Tissue Engineering Materials
    • Graphene and Nanomaterials Applications
    • Advanced Sensor and Energy Harvesting Materials

Papers in

Feng Sang

34 papers receiving 642 citations

Peers

Feng Sang
Comparison fields: 5 of 87
  • Biomaterials 336
  • Biomedical Engineering 281
  • Virology 23
  • Toxicology 14
  • Urology 22
Replace Dhwani Rana with:
Dhwani Rana India
Wenwei Han China
Shujie Hou United States
Jorge López‐García Czechia
Madhushree Bhattacharya Finland
Chiung-Hua Huang Taiwan
Nattika Saengkrit Thailand
Alexander Köwitsch Germany
Nimeet Desai India
Javad Ranjbari Iran
Feng Sang relative to Dhwani Rana India Dhwani Rana's profile →
Citations per field
00.5×2×4×5.8×
Dhwani Rana · 1×
Citations per year

Countries citing papers authored by Feng Sang

Since Specialization
Citations

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

Fields of papers citing papers by Feng Sang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 35 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2015144
2 2016101
3 201699
4 201653
5 201438
6 202329
7 201624
8 201924
9 201623
10 201211
11 20229
12 20229
13 20209
14 20238
15 20187
16 20227
17 20197
18 20226
19 20225
20 20224

About Feng Sang

Feng Sang is a scholar working on Molecular Biology, Organic Chemistry, Biomedical Engineering, Pharmacology and Ecology, having authored 35 papers that have together received 648 indexed citations. Recurring topics across this work include Synthesis and biological activity (5 papers), Bioactive Compounds and Antitumor Agents (4 papers), Bone Tissue Engineering Materials (4 papers), Protein Degradation and Inhibitors (4 papers), Genomics and Phylogenetic Studies (4 papers), Electrospun Nanofibers in Biomedical Applications (3 papers), Silk-based biomaterials and applications (3 papers) and Microbial Community Ecology and Physiology (3 papers). The work is most often cited by research in Biomaterials (336 citations), Biomedical Engineering (281 citations), Virology (23 citations), Toxicology (14 citations) and Urology (22 citations). Feng Sang has collaborated with scholars based in China and United States. Frequent co-authors include Weili Shao, Jianxin He, Shizhong Cui, Bin Ding, Li Chen, Qian Wang, Kejing Li, Li Chen, Jiadai Zhai and Sinan Wang. Their work appears in journals such as INTERNATIONAL JOURNAL OF SYSTEMATIC AND EVOLUTIONARY MICROBIOLOGY, Materials Science and Engineering C, Evidence-based Complementary and Alternative Medicine, Bioorganic & Medicinal Chemistry Letters and Frontiers in Chemistry.

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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