Haiyong Chen

9.9k total citations · 2 hit papers
221 papers, 7.1k citations indexed

About

Haiyong Chen is a scholar working on Molecular Biology, Complementary and alternative medicine and Nephrology. According to data from OpenAlex, Haiyong Chen has authored 221 papers receiving a total of 7.1k indexed citations (citations by other indexed papers that have themselves been cited), including 100 papers in Molecular Biology, 37 papers in Complementary and alternative medicine and 24 papers in Nephrology. Recurrent topics in Haiyong Chen's work include Acupuncture Treatment Research Studies (29 papers), Chronic Kidney Disease and Diabetes (22 papers) and Complementary and Alternative Medicine Studies (18 papers). Haiyong Chen is often cited by papers focused on Acupuncture Treatment Research Studies (29 papers), Chronic Kidney Disease and Diabetes (22 papers) and Complementary and Alternative Medicine Studies (18 papers). Haiyong Chen collaborates with scholars based in China, Hong Kong and United States. Haiyong Chen's co-authors include Hui Y. Lan, Xiao‐Ming Meng, Arthur C.K. Chung, Xiang Zhong, William C. Cho, Dennis Vitkup, Xiao Ru Huang, Carol Friedman, Zhang‐Jin Zhang and Yibin Feng and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Physical Review Letters and Nucleic Acids Research.

In The Last Decade

Haiyong Chen

209 papers receiving 7.0k citations

Hit Papers

Clinical efficacies, underlying mechanisms and molecular ... 2021 2026 2022 2024 2021 2024 50 100 150 200

Peers

Haiyong Chen
Comparison fields: 5 of 188
  • Molecular Biology 3.6k
  • Cancer Research 1.1k
  • Nephrology 892
  • Complementary and alternative medicine 634
  • Materials Chemistry 579
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Citations per field, relative to Haiyong Chen
Haiyong Chen · 1×
Citations per year, relative to Haiyong Chen
Haiyong Chen · 1×

Countries citing papers authored by Haiyong Chen

Since Specialization
Citations

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

Fields of papers citing papers by Haiyong Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Haiyong Chen

This figure shows the co-authorship network connecting the top 25 collaborators of Haiyong Chen. A scholar is included among the top collaborators of Haiyong Chen based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Haiyong Chen. Haiyong Chen is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
# Work Indexed citations
1 0
2 1
3 0
4 2
5 15
6
Clinical efficacies, underlying mechanisms and molecular targets of Chinese medicines for diabetic nephropathy treatment and management breakdown →
235
7 18
8 21
9 26
10 64
11 26
12 42
13 10
14 131
15 104
16 58
17 12
18 2
19 5
20 79

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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