Zhe Chen

80 papers receiving 2.2k citations

Zhe Chen's Hit Papers

Therapeutic target database update 2018: enriched resource for facilitating bench-to-clinic research of targeted therapeutics 2017 · 450 citations
4500+3+6Years since publication100200300400

Peers

Zhe Chen
Comparison fields: 5 of 97
  • Computational Theory and Mathematics 531
  • Complementary and alternative medicine 273
  • Drug Discovery 3
  • Molecular Biology 662
  • Pharmacology 143
Replace Chao Lv with:
Chao Lv China
Onat Kadioglu Germany
Lan Wang China
Hua Yu China
Ping Lin China
Raymond P. Wu United States
Wentao Dai China
Wenjun Zhou China
Yuling Qiu China
Haibo Xu China
Zhe Chen relative to Chao Lv China Chao Lv's profile →
Citations per field
00.5×2×2.6×
Chao Lv · 1×
Citations per year

Countries citing papers authored by Zhe Chen

Since Specialization
Citations

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

Fields of papers citing papers by Zhe Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 81 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Therapeutic target database update 2018: enriched resource for facilitating bench-to-clinic research of targeted therapeutics
Hit paper breakdown →
2017450
2 2017197
3 2021163
4 2016104
5 201890
6 201887
7 201258
8 201553
9 201653
10 201950
11 201543
12 201240
13 202039
14 201938
15 201231
16 201729
17 201227
18 202126
19 201425
20 201725

About Zhe Chen

Zhe Chen is a scholar working on Complementary and alternative medicine, Molecular Biology, Oncology, Pharmacology and Epidemiology, having authored 81 papers that have together received 2.2k indexed citations. Recurring topics across this work include Traditional Chinese Medicine Analysis (7 papers), Hepatitis B Virus Studies (6 papers), Cytokine Signaling Pathways and Interactions (5 papers), Microbial Natural Products and Biosynthesis (5 papers), Computational Drug Discovery Methods (4 papers), Chromatography in Natural Products (3 papers), PI3K/AKT/mTOR signaling in cancer (3 papers) and Spinal Fractures and Fixation Techniques (3 papers). The work is most often cited by research in Computational Theory and Mathematics (531 citations), Complementary and alternative medicine (273 citations), Drug Discovery (3 citations), Molecular Biology (662 citations) and Pharmacology (143 citations). Zhe Chen has collaborated with scholars based in China, United States and Singapore. Frequent co-authors include Yu Zong Chen, Qin Chu, Xian Liang Zeng, Li Fu, Feng Zhu, Lin Tao, Yinghong Li, Zhongjun Ma, Yu Jiang and Jing Tang. Their work appears in journals such as Journal of Medicinal Chemistry, Nucleic Acids Research, Evidence-based Complementary and Alternative Medicine, Toxicology and Applied Pharmacology and Frontiers in Oncology.

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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