Langdong Chen

597 citations
15 papers · 479 · h-index 13

Impact in

Papers in

    • Advanced biosensing and bioanalysis techniques 1
    • Protein Degradation and Inhibitors 1
    • Pharmacological Effects of Natural Compounds 4

Langdong Chen

15 papers receiving 472 citations

Peers

Langdong Chen
Comparison fields: 5 of 77
  • Pharmacology 80
  • Complementary and alternative medicine 60
  • Molecular Biology 328
  • Biological Psychiatry 7
  • Pharmacology 46
Replace Teresa Tam with:
Teresa Tam Canada
Fen Wei China
Yaoxian Wang China
Feng Feng China
Hua‐Li Zuo China
Jongmin Ahn South Korea
Jianye Dai China
Jinhong Feng China
Jagadeesh Kumar Gangasani India
Shyam N. Sundar United States
Langdong Chen relative to Teresa Tam Canada Teresa Tam's profile →
Citations per field
00.5×1.7×
Teresa Tam · 1×
Citations per year

Countries citing papers authored by Langdong Chen

Since Specialization
Citations

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

Fields of papers citing papers by Langdong Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

15 of 15 papers shown
#Work
1 2020106
2 201877
3 201655
4 201837
5 201733
6 201733
7 202026
8 201624
9 201823
10 201821
11 202113
12 201512
13 201912
14 20186
15 20211

About Langdong Chen

Langdong Chen is a scholar working on Molecular Biology, Pharmacology, Computational Theory and Mathematics, Oncology and Radiology, Nuclear Medicine and Imaging, having authored 15 papers that have together received 479 indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (4 papers), Pharmacological Effects of Natural Compounds (4 papers), Analytical Chemistry and Chromatography (2 papers), Traditional Chinese Medicine Analysis (2 papers), Monoclonal and Polyclonal Antibodies Research (2 papers), Advanced biosensing and bioanalysis techniques (1 paper), Protein Degradation and Inhibitors (1 paper) and Cytokine Signaling Pathways and Interactions (1 paper). The work is most often cited by research in Pharmacology (80 citations), Complementary and alternative medicine (60 citations), Molecular Biology (328 citations), Biological Psychiatry (7 citations) and Pharmacology (46 citations). Langdong Chen has collaborated with scholars based in China, Hong Kong and Thailand. Frequent co-authors include Yan Cao, Yifeng Chai, Diya Lv, Xiaofei Chen, Dongyao Wang, Zhenyu Zhu, Xiaoyu Li, Zhanying Hong, Hai Zhang and Guan Ye. Their work appears in journals such as Analytical Chemistry, Analytical and Bioanalytical Chemistry, Nature Chemistry, Chemical Communications and Journal of Pharmaceutical and Biomedical Analysis.

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