Dan Yan

3.3k citations
109 papers · 2.8k · h-index 25

Impact in

Papers in

Dan Yan

107 papers receiving 2.7k citations

Peers

Dan Yan
Comparison fields: 5 of 124
  • Complementary and alternative medicine 533
  • Immunology and Allergy 129
  • Pharmacology 245
  • Physical and Theoretical Chemistry 139
  • Pharmacology 113
Replace Maria das Graças Henriques with:
Maria das Graças Henriques Brazil
Christoph Mathis Schempp Germany
Langchong He China
Jung‐Hoon Kim South Korea
Do Hyun Ryu South Korea
Chi‐Chen Lin Taiwan
Qun Y. Zhou China
Antonietta Rossi Italy
Simona Sestito Italy
Dan Yan relative to Maria das Graças Henriques Brazil Maria das Graças Henriques's profile →
Citations per field
00.5×5×10.7×
Maria das Graças Henriques · 1×
Citations per year

Countries citing papers authored by Dan Yan

Since Specialization
Citations

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

Fields of papers citing papers by Dan Yan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 109 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2019310
2 2018184
3 2007168
4 2018147
5 2013129
6 2017124
7 2014117
8 2018117
9 202089
10 201970
11 201765
12 201847
13 201344
14 201743
15 201339
16 201639
17 201135
18 200934
19 201329
20 202029

About Dan Yan

Dan Yan is a scholar working on Complementary and alternative medicine, Physical and Theoretical Chemistry, Pharmacology, Pharmacology and Molecular Biology, having authored 109 papers that have together received 2.8k indexed citations. Recurring topics across this work include Traditional Chinese Medicine Analysis (33 papers), thermodynamics and calorimetric analyses (26 papers), Berberine and alkaloids research (10 papers), Nanoplatforms for cancer theranostics (8 papers), Traditional Chinese Medicine Studies (5 papers), Medical Research and Treatments (4 papers), Acute Lymphoblastic Leukemia research (4 papers) and Phytochemistry and Biological Activities (3 papers). The work is most often cited by research in Complementary and alternative medicine (533 citations), Immunology and Allergy (129 citations), Pharmacology (245 citations), Physical and Theoretical Chemistry (139 citations) and Pharmacology (113 citations). Dan Yan has collaborated with scholars based in China, Singapore and United States. Frequent co-authors include Cheng Yun Peng, Wuwen Feng, Xiaohe Xiao, Hui Ao, Xiao‐Ping Dong, Chang‐Yun Wang, Shi‐Jun Yue, Juan Liu, Cheng S. Jin and Zhirui Yang. Their work appears in journals such as Journal of Thermal Analysis and Calorimetry, Scientific Reports, Journal of Ethnopharmacology, Pharmacological Research 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.

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