Lan Yang

1.5k citations
55 papers · 1.2k · h-index 23

Impact in

Papers in

    • Ubiquitin and proteasome pathways 5
    • Connexins and lens biology 4
    • Redox biology and oxidative stress 3
    • Cancer Immunotherapy and Biomarkers 3
    • Peptidase Inhibition and Analysis 3

Lan Yang

54 papers receiving 1.2k citations

Peers

Lan Yang
Comparison fields: 5 of 104
  • Biomaterials 182
  • Pharmaceutical Science 83
  • Cancer Research 204
  • Complementary and alternative medicine 83
  • Pharmacology 80
Replace Si Chen with:
Si Chen China
Ruoning Wang China
Fabrício Figueiró Brazil
Mysore S. Veena United States
Frederick Luk Australia
Donghui Zheng China
Amit Singh Yadav India
Qianming Du China
Lan Yang relative to Si Chen China Si Chen's profile →
Citations per field
00.5×1.5×1.8×
Si Chen · 1×
Citations per year

Countries citing papers authored by Lan Yang

Since Specialization
Citations

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

Fields of papers citing papers by Lan Yang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 55 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201177
2 201765
3 201560
4 201860
5 202056
6 202155
7 201851
8 202249
9 201247
10 201943
11 202042
12 201942
13 201141
14 201339
15 201837
16 201136
17 201935
18 201328
19 201926
20
NF-kappa B involved in transcription enhancement of TGF-beta 1 induced by Ox-LDL in rat mesangial cells.
200426

About Lan Yang

Lan Yang is a scholar working on Molecular Biology, Oncology, Cancer Research, Immunology and Surgery, having authored 55 papers that have together received 1.2k indexed citations. Recurring topics across this work include Ubiquitin and proteasome pathways (5 papers), Nanoparticle-Based Drug Delivery (4 papers), Connexins and lens biology (4 papers), Nanoplatforms for cancer theranostics (3 papers), Cancer Immunotherapy and Biomarkers (3 papers), Redox biology and oxidative stress (3 papers), Blood Coagulation and Thrombosis Mechanisms (3 papers) and Peptidase Inhibition and Analysis (3 papers). The work is most often cited by research in Biomaterials (182 citations), Pharmaceutical Science (83 citations), Cancer Research (204 citations), Complementary and alternative medicine (83 citations) and Pharmacology (80 citations). Lan Yang has collaborated with scholars based in China, United States and Italy. Frequent co-authors include Yanhua Liu, Tong Yang, Jianzhong Ye, Haitao Li, Jianhong Yang, Yue Sun, Chengzhang Wang, Hong Sun, Shijie Wei and Chengming Zhou. Their work appears in journals such as Current Molecular Medicine, Scientific Reports, The International Journal of Biochemistry & Cell Biology, Cell Biochemistry and Function and Colloids and Surfaces B Biointerfaces.

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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