Dan Su

573 citations
41 papers · 400 · h-index 12

Impact in

Papers in

Dan Su

36 papers receiving 392 citations

Peers

Dan Su
Comparison fields: 5 of 100
  • Reproductive Medicine 29
  • Complementary and alternative medicine 26
  • Sensory Systems 12
  • Cell Biology 33
  • Obstetrics and Gynecology 12
Replace Hye Jin Jeong with:
Hye Jin Jeong South Korea
Joris De Man Belgium
Mingfeng Xia China
Xinyu Guo China
W. Zieger Germany
Hongmei Xu China
Chang‐Qing Gao China
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Citations per field
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Hye Jin Jeong · 1×
Citations per year

Countries citing papers authored by Dan Su

Since Specialization
Citations

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

Fields of papers citing papers by Dan Su

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 41 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201544
2 202030
3 201626
4 200425
5
[Comparative clinical study of rheumatoid arthritis treated by triptolide and an ethyl acetate extract of Tripterygium wilfordii].
199023
6 201920
7 201819
8 202119
9 201218
10 202516
11 200915
12
Interleukin-1β inhibits collagen synthesis and promotes its decomposition in cultured cardiac fibroblasts.
200812
13 200911
14 201910
15 202210
16 20199
17 20209
18 20228
19 20228
20 20228

About Dan Su

Dan Su is a scholar working on Molecular Biology, Epidemiology, Cardiology and Cardiovascular Medicine, Complementary and alternative medicine and Neurology, having authored 41 papers that have together received 400 indexed citations. Recurring topics across this work include Liver Disease Diagnosis and Treatment (4 papers), Ovarian function and disorders (3 papers), Respiratory Support and Mechanisms (2 papers), Endoplasmic Reticulum Stress and Disease (2 papers), Neurological Disease Mechanisms and Treatments (2 papers), RNA and protein synthesis mechanisms (2 papers), Anorectal Disease Treatments and Outcomes (2 papers) and Neurogenesis and neuroplasticity mechanisms (1 paper). The work is most often cited by research in Reproductive Medicine (29 citations), Complementary and alternative medicine (26 citations), Sensory Systems (12 citations), Cell Biology (33 citations) and Obstetrics and Gynecology (12 citations). Dan Su has collaborated with scholars based in China, United States and Singapore. Frequent co-authors include Bin Wang, Jiayi Zhang, Yan Wang, Manman Cui, Zihe Rao, Zhiyong Lou, Wei Wang, Liming Yan, Sha Sun and Xiaoyu Hu. Their work appears in journals such as Annals of Palliative Medicine, Journal of Functional Foods, Entomologia Generalis, Journal of Manufacturing Processes and Diseases of the Colon & Rectum.

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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