Dan Su

36 papers receiving 368 citations

Peers

Dan Su
Comparison fields: 5 of 105
  • Reproductive Medicine 31
  • Complementary and alternative medicine 25
  • Sensory Systems 14
  • Rheumatology 39
  • Obstetrics and Gynecology 19
Replace Alejandro Borrego-Ruiz with:
Alejandro Borrego-Ruiz Spain
Zhan Zhang China
Joris De Man Belgium
Wojciech Warchoł Poland
Camille Petitfils France
Lauretta Massai Italy
Hongmei Xu China
Eun Chul Kim South Korea
Noriko Okamoto Japan
Dan Su relative to Alejandro Borrego-Ruiz Spain Alejandro Borrego-Ruiz's profile →
Citations per field
00.5×9.2×
Alejandro Borrego-Ruiz · 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 201543
2 201625
3 202025
4 200424
5
[Comparative clinical study of rheumatoid arthritis treated by triptolide and an ethyl acetate extract of Tripterygium wilfordii].
199023
6 201920
7 202119
8 201817
9 201217
10 200915
11
Interleukin-1β inhibits collagen synthesis and promotes its decomposition in cultured cardiac fibroblasts.
200812
12 200911
13 20259
14 20199
15 20229
16 20199
17 20208
18 20227
19 20237
20 20227

About Dan Su

Dan Su is a scholar working on Molecular Biology, Cardiology and Cardiovascular Medicine, Epidemiology, Immunology and Oncology, having authored 41 papers that have together received 376 indexed citations. Recurring topics across this work include Liver Disease Diagnosis and Treatment (4 papers), Ovarian function and disorders (3 papers), Endoplasmic Reticulum Stress and Disease (2 papers), Ginseng Biological Effects and Applications (2 papers), DNA Repair Mechanisms (2 papers), Pelvic floor disorders treatments (2 papers), Neurological Disease Mechanisms and Treatments (2 papers) and Animal Disease Management and Epidemiology (2 papers). The work is most often cited by research in Reproductive Medicine (31 citations), Complementary and alternative medicine (25 citations), Sensory Systems (14 citations), Rheumatology (39 citations) and Obstetrics and Gynecology (19 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, Zhiyong Lou, Wei Wang, Junjie Hu, Liming Yan, Zihe Rao and Sha Sun. Their work appears in journals such as Annals of Palliative Medicine, Journal of Functional Foods, Water Air & Soil Pollution, Toxicology and Industrial Health and BMC Nursing.

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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