Daqing Sun

2.5k citations
62 papers · 1.3k · h-index 17

Impact in

  • Physiology top 2%
    • Adenosine and Purinergic Signaling
    • Nitric Oxide and Endothelin Effects
  • Hematology top 5%
    • Platelet Disorders and Treatments
    • Blood groups and transfusion

Papers in

Daqing Sun

61 papers receiving 1.3k citations

Peers

Daqing Sun
Comparison fields: 5 of 108
  • Physiology 184
  • Hematology 171
  • Nephrology 60
  • Endocrinology, Diabetes and Metabolism 136
  • Pharmacology 73
Replace Armin Hatzelmann with:
Armin Hatzelmann Germany
Pascal Grondin France
Doina Popov Romania
Randy T. McConnell United States
Hiromichi Fujino Japan
Moureq R. Alotaibi Saudi Arabia
J.M. Boeynaems Belgium
Robert Ardecky United States
David G. Ahern United States
Jan Fleckner Denmark
Daqing Sun relative to Armin Hatzelmann Germany Armin Hatzelmann's profile →
Citations per field
00.5×3.7×
Armin Hatzelmann · 1×
Citations per year

Countries citing papers authored by Daqing Sun

Since Specialization
Citations

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

Fields of papers citing papers by Daqing Sun

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 62 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2001352
2 1995170
3 201497
4 201771
5 201850
6 201644
7 200833
8 199932
9 200828
10 200924
11 201824
12 202423
13 200722
14 201119
15 200918
16 201417
17 199516
18 200916
19 201614
20 201513

About Daqing Sun

Daqing Sun is a scholar working on Molecular Biology, Organic Chemistry, Surgery, Endocrinology, Diabetes and Metabolism and Oncology, having authored 62 papers that have together received 1.3k indexed citations. Recurring topics across this work include Hormonal Regulation and Hypertension (10 papers), Synthetic Organic Chemistry Methods (6 papers), Estrogen and related hormone effects (5 papers), Adrenal and Paraganglionic Tumors (5 papers), Cancer-related Molecular Pathways (4 papers), Asymmetric Synthesis and Catalysis (3 papers), Adenosine and Purinergic Signaling (3 papers) and Polysaccharides and Plant Cell Walls (3 papers). The work is most often cited by research in Physiology (184 citations), Hematology (171 citations), Nephrology (60 citations), Endocrinology, Diabetes and Metabolism (136 citations) and Pharmacology (73 citations). Daqing Sun has collaborated with scholars based in China, United States and Canada. Frequent co-authors include Yosup Rew, Tianxin Yang, Jürgen Schnermann, Alexander Paliege, Linda C. Samuelson, Yuning Huang, Thomas L. Saunders, Jakob Bogenberger, TR Ulich and Shuangyi Yin. Their work appears in journals such as Bioorganic & Medicinal Chemistry Letters, Cancer Research, Journal of Medicinal Chemistry, Biochemical and Biophysical Research Communications and Journal of Agricultural and Food Chemistry.

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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