Dan He

1.3k citations
70 papers · 1.0k · 1 hit paper · h-index 20

Impact in

Papers in

Dan He

61 papers receiving 1.0k citations

Hit Papers

Multimodal smart systems reprogramme macrophages and remove urate to treat gouty arthritis 2024 · 49 citations
490+1Years since publication10203040

Peers

Dan He
Comparison fields: 5 of 110
  • Pharmaceutical Science 123
  • Pharmacology 145
  • Complementary and alternative medicine 116
  • Nephrology 80
  • Molecular Medicine 50
Replace Vineet Mittal with:
Vineet Mittal India
Shan Lu China
Nancy S. Younis Saudi Arabia
Roghayeh Abbasalipourkabir Iran
Zhongxi Zhao China
Ahmad Ahmeda Qatar
Nasrin Ziamajidi Iran
Gihan F. Asaad Egypt
Michael Adu‐Frimpong China
Dan He relative to Vineet Mittal India Vineet Mittal's profile →
Citations per field
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Vineet Mittal · 1×
Citations per year

Countries citing papers authored by Dan He

Since Specialization
Citations

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

Fields of papers citing papers by Dan He

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 70 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2012132
2 202080
3 201752
4 201850
5
Multimodal smart systems reprogramme macrophages and remove urate to treat gouty arthritis
Hit paper breakdown →
202449
6 202143
7 201238
8 201837
9 201731
10 201231
11 201630
12 202029
13 201626
14 201224
15 201524
16 202123
17 202022
18 201920
19 201719
20 202019

About Dan He

Dan He is a scholar working on Molecular Biology, Complementary and alternative medicine, Surgery, Pharmacology and Nephrology, having authored 70 papers that have together received 1.0k indexed citations. Recurring topics across this work include Traditional Chinese Medicine Analysis (13 papers), Metabolomics and Mass Spectrometry Studies (9 papers), Gout, Hyperuricemia, Uric Acid (7 papers), Natural product bioactivities and synthesis (6 papers), Pharmacological Effects of Natural Compounds (5 papers), Drug Solubulity and Delivery Systems (5 papers), Computational Drug Discovery Methods (5 papers) and Nanoparticle-Based Drug Delivery (4 papers). The work is most often cited by research in Pharmaceutical Science (123 citations), Pharmacology (145 citations), Complementary and alternative medicine (116 citations), Nephrology (80 citations) and Molecular Medicine (50 citations). Dan He has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Jingqing Zhang, Qunyou Tan, Yisong Shu, Siyu Zhao, Mingjun Wu, Yuanyan Liu, Huafeng Yin, Hong Wang, Cheng Lü and Zhenli Liu. Their work appears in journals such as ACS Applied Materials & Interfaces, International Journal of Nanomedicine, Scientific Reports, Foods and Drug Metabolism Reviews.

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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