Feng Lv

2.8k citations
78 papers · 2.3k · 1 hit paper · h-index 32

Impact in

Papers in

Feng Lv

76 papers receiving 2.3k citations

Feng Lv's Hit Papers

Low molecular weight polysaccharide of Tremella fuciformis exhibits stronger antioxidant and immunomodulatory activities than high molecular weight polysaccharide 2024 · 53 citations
530+1Years since publication1020304050

Peers

Feng Lv
Comparison fields: 5 of 120
  • Biomaterials 544
  • Molecular Medicine 148
  • Biomedical Engineering 1.1k
  • Pharmaceutical Science 136
  • Immunology 397
Replace In‐Kyu Park with:
In‐Kyu Park South Korea
Xianbin Ma China
Huiyuan Wang China
Xinru You China
Hanqing Qian China
Saji Uthaman South Korea
Binlong Chen China
Xiangang Huang China
Hwa Seung Han South Korea
Chunmeng Sun China
Feng Lv relative to In‐Kyu Park South Korea In‐Kyu Park's profile →
Citations per field
00.5×10×15.8×
In‐Kyu Park · 1×
Citations per year

Countries citing papers authored by Feng Lv

Since Specialization
Citations

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

Fields of papers citing papers by Feng Lv

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 78 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2019117
2 202299
3 201795
4 201593
5 201988
6 201383
7 201672
8 202368
9 201560
10 201960
11 201759
12 202256
13
Low molecular weight polysaccharide of Tremella fuciformis exhibits stronger antioxidant and immunomodulatory activities than high molecular weight polysaccharide
Hit paper breakdown →
202453
14 201851
15 202250
16 201848
17 201547
18 202246
19 201343
20 201742

About Feng Lv

Feng Lv is a scholar working on Biomedical Engineering, Molecular Biology, Immunology, Materials Chemistry and Biomaterials, having authored 78 papers that have together received 2.3k indexed citations. Recurring topics across this work include Nanoplatforms for cancer theranostics (41 papers), Photodynamic Therapy Research Studies (13 papers), Nanoparticle-Based Drug Delivery (12 papers), Porphyrin and Phthalocyanine Chemistry (10 papers), Immunotherapy and Immune Responses (10 papers), RNA Interference and Gene Delivery (9 papers), Immune cells in cancer (7 papers) and Extracellular vesicles in disease (6 papers). The work is most often cited by research in Biomaterials (544 citations), Molecular Medicine (148 citations), Biomedical Engineering (1.1k citations), Pharmaceutical Science (136 citations) and Immunology (397 citations). Feng Lv has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Xia Dong, Tianjun Liu, Dunwan Zhu, Afeng Yang, Chang Wei, Jie Liang, Deling Kong, Lin Mei, Deling Kong and Zhiyong Qian. Their work appears in journals such as ACS Applied Materials & Interfaces, Colloids and Surfaces B Biointerfaces, RSC Advances, Biomaterials and Chemical Engineering Journal.

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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