Lan Kang

2.2k citations
60 papers · 1.7k · h-index 21

Impact in

    • Pluripotent Stem Cells Research
    • Epigenetics and DNA Methylation
    • Ubiquitin and proteasome pathways
    • Genomics and Chromatin Dynamics
    • Cancer-related molecular mechanisms research

Papers in

Lan Kang

55 papers receiving 1.7k citations

Peers

Lan Kang
Comparison fields: 5 of 78
  • Molecular Biology 1.1k
  • Cancer Research 136
  • Geriatrics and Gerontology 27
  • Developmental Neuroscience 18
  • Genetics 45
Replace Mikako Yagi with:
Mikako Yagi Japan
Dilshad H. Khan Canada
Giacomo Volpe China
Kabsun Kim South Korea
Claudia A. Benavente United States
Suwannee Thet United States
Ana Guío-Carrión Spain
Daniel M. DiRenzo United States
Cheryl A. Doughty United States
Lan Kang relative to Mikako Yagi Japan Mikako Yagi's profile →
Citations per field
00.5×2×4×6×
Mikako Yagi · 1×
Citations per year

Countries citing papers authored by Lan Kang

Since Specialization
Citations

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

Fields of papers citing papers by Lan Kang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 60 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2009366
2 2013302
3 201184
4 201763
5 201160
6 201751
7 202051
8 201246
9 201343
10 201743
11 201743
12 201038
13 202238
14 201336
15 201730
16 202029
17 201027
18 202126
19 201725
20 201722

About Lan Kang

Lan Kang is a scholar working on Molecular Biology, Pulmonary and Respiratory Medicine, Geriatrics and Gerontology, Cancer Research and Pediatrics, Perinatology and Child Health, having authored 60 papers that have together received 1.7k indexed citations. Recurring topics across this work include Pluripotent Stem Cells Research (16 papers), Neonatal Respiratory Health Research (13 papers), Sirtuins and Resveratrol in Medicine (5 papers), Neonatal and fetal brain pathology (4 papers), Epigenetics and DNA Methylation (4 papers), Genomics and Chromatin Dynamics (4 papers), Cancer-related molecular mechanisms research (4 papers) and Redox biology and oxidative stress (3 papers). The work is most often cited by research in Molecular Biology (1.1k citations), Cancer Research (136 citations), Geriatrics and Gerontology (27 citations), Developmental Neuroscience (18 citations) and Genetics (45 citations). Lan Kang has collaborated with scholars based in China, United States and Chile. Frequent co-authors include Gao Shaorong, Zhaohui Kou, Yu Zhang, Yu Zhang, Jiayu Chen, Yonghua Jiang, Tong Wu, Bo Huang, Wenqiang Liu and Wenbin Dong. Their work appears in journals such as American Journal of Perinatology, Cell Death and Disease, Cell stem cell, Frontiers in Pediatrics and Cell Research.

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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