Cong Wen

15 papers receiving 377 citations

Cong Wen's Hit Papers

Naringenin attenuates non‐alcoholic fatty liver disease by down‐regulating the NLRP3/NF‐κB pathway in mice 2019 · 230 citations
2300+2+4Years since publication50100150200

Peers

Cong Wen
Comparison fields: 5 of 107
  • Pharmacology 41
  • Hepatology 30
  • Endocrinology, Diabetes and Metabolism 61
  • Epidemiology 126
  • Biochemistry 19
Replace Sheng‐Lei Yan with:
Sheng‐Lei Yan Taiwan
Zhizhen Li China
Guang Chen China
Xinyu Deng China
Qinyu Li China
Vishal S. Patil India
Yani Zhang China
Fengjie Zheng China
Qiang Du China
Cong Wen relative to Sheng‐Lei Yan Taiwan Sheng‐Lei Yan's profile →
Citations per field
00.5×2.7×
Sheng‐Lei Yan · 1×
Citations per year

Countries citing papers authored by Cong Wen

Since Specialization
Citations

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

Fields of papers citing papers by Cong Wen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

17 of 17 papers shown
#Work
1
Naringenin attenuates non‐alcoholic fatty liver disease by down‐regulating the NLRP3/NF‐κB pathway in mice
Hit paper breakdown →
2019230
2 202243
3 201120
4 202214
5 202312
6 201012
7 201211
8 202110
9 202010
10 20225
11 20154
12 20224
13 20123
14 20212
15 20172
16 20250
17
Initiative of Establishing Virtual University——Study on Uk e-University
20070

About Cong Wen

Cong Wen is a scholar working on Molecular Biology, Atmospheric Science, Spectroscopy, Mechanical Engineering and Electrical and Electronic Engineering, having authored 17 papers that have together received 382 indexed citations. Recurring topics across this work include Phytochemistry and Biological Activities (2 papers), Advanced biosensing and bioanalysis techniques (1 paper), HIV Research and Treatment (1 paper), Nanoplatforms for cancer theranostics (1 paper), Advanced NMR Techniques and Applications (1 paper), Diet, Metabolism, and Disease (1 paper), Multilevel Inverters and Converters (1 paper) and Molecular Sensors and Ion Detection (1 paper). The work is most often cited by research in Pharmacology (41 citations), Hepatology (30 citations), Endocrinology, Diabetes and Metabolism (61 citations), Epidemiology (126 citations) and Biochemistry (19 citations). Cong Wen has collaborated with scholars based in China, United States and Taiwan. Frequent co-authors include Rong Qi, Hui Dai, Qinyu Wang, Cong Chen, Guomin Hu, Jiawei Xie, Youyi Zhang, Lu Xu, Han Xiao and Nei Kato. Their work appears in journals such as Frontiers in Earth Science, Molecular Pharmaceutics, Biomedicine & Pharmacotherapy, IEEE Network and IEEE Transactions on Applied Superconductivity.

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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