Jicong Chen

17 papers receiving 311 citations

Jicong Chen's Hit Papers

Lactate drives epithelial-mesenchymal transition in diabetic kidney disease via the H3K14la/KLF5 pathway 2024 · 79 citations
790+1Years since publication255075

Peers

Jicong Chen
Comparison fields: 5 of 60
  • Biological Psychiatry 12
  • Developmental Neuroscience 13
  • Pharmaceutical Science 17
  • Physiology 61
  • Nephrology 16
Replace Liqian Mo with:
Liqian Mo China
Liang Ni China
Jianyuan Gao China
Yao Pan China
Nairita Roy United States
Hongming Ji China
Zhongming Zhang China
Chunyang Xi China
Jicong Chen relative to Liqian Mo China Liqian Mo's profile →
Citations per field
00.5×
Liqian Mo · 1×
Citations per year

Countries citing papers authored by Jicong Chen

Since Specialization
Citations

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

Fields of papers citing papers by Jicong Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

19 of 19 papers shown
#Work
1
Lactate drives epithelial-mesenchymal transition in diabetic kidney disease via the H3K14la/KLF5 pathway
Hit paper breakdown →
202479
2 202341
3 202136
4 202027
5 202120
6 202219
7 202119
8 202218
9 202215
10 202212
11 20209
12 20245
13 20234
14 20224
15 20243
16 20251
17 20241
18 20250
19 20250

About Jicong Chen

Jicong Chen is a scholar working on Molecular Biology, Physiology, Developmental Neuroscience, Cancer Research and Pharmacology, having authored 19 papers that have together received 313 indexed citations. Recurring topics across this work include Alzheimer's disease research and treatments (3 papers), Neurogenesis and neuroplasticity mechanisms (3 papers), Cholinesterase and Neurodegenerative Diseases (2 papers), Nanoparticle-Based Drug Delivery (2 papers), RNA Interference and Gene Delivery (2 papers), Plant Toxicity and Pharmacological Properties (2 papers), Advanced Drug Delivery Systems (2 papers) and Genetics and Neurodevelopmental Disorders (1 paper). The work is most often cited by research in Biological Psychiatry (12 citations), Developmental Neuroscience (13 citations), Pharmaceutical Science (17 citations), Physiology (61 citations) and Nephrology (16 citations). Jicong Chen has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Jingxian Yang, Honghe Xiao, Zhi‐Qi Yin, Xuanxuan Zhang, Lesheng Teng, Lei Wang, Ke Pan, Jian Zhang, Yaping Huang and Youxin Li. Their work appears in journals such as Phytomedicine, Phytotherapy Research, Chinese Chemical Letters, Acta Pharmaceutica Sinica B and Nano Letters.

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.

Explore authors with similar magnitude of impact