Haiguo Sun

999 citations
36 papers · 785 · h-index 15

Impact in

Papers in

    • Receptor Mechanisms and Signaling 10
    • Pharmacological Receptor Mechanisms and Effects 4
    • Peroxisome Proliferator-Activated Receptors 4
    • Neurotransmitter Receptor Influence on Behavior 9
    • Neuroscience and Neuropharmacology Research 4

Haiguo Sun

36 papers receiving 778 citations

Peers

Haiguo Sun
Comparison fields: 5 of 89
  • Biochemistry 100
  • Cancer Research 182
  • Nutrition and Dietetics 140
  • Cellular and Molecular Neuroscience 136
  • Cell Biology 106
Replace K Sakai with:
K Sakai Japan
Kasey C. Nelson United States
Jason R. Hickok United States
Paul Déléris France
Margaret E. Beard United States
Pär J. Höglund Sweden
N. A. Smirnova United States
Mariana Melani Argentina
Qing Yan Liu Canada
Alessandro Bertoli Italy
Haiguo Sun relative to K Sakai Japan K Sakai's profile →
Citations per field
00.5×6.4×
K Sakai · 1×
Citations per year

Countries citing papers authored by Haiguo Sun

Since Specialization
Citations

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

Fields of papers citing papers by Haiguo Sun

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 36 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200894
2 200987
3 200266
4 201063
5 200454
6 201348
7 201446
8 201240
9 200534
10 200432
11 200829
12 201221
13 201520
14 202017
15 201816
16 201614
17 202213
18 202312
19 202011
20 201911

About Haiguo Sun

Haiguo Sun is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience, Cancer Research, Organic Chemistry and Nutrition and Dietetics, having authored 36 papers that have together received 785 indexed citations. Recurring topics across this work include Receptor Mechanisms and Signaling (10 papers), Neurotransmitter Receptor Influence on Behavior (9 papers), Cancer, Lipids, and Metabolism (6 papers), Fatty Acid Research and Health (6 papers), Proteoglycans and glycosaminoglycans research (4 papers), Pharmacological Receptor Mechanisms and Effects (4 papers), Peroxisome Proliferator-Activated Receptors (4 papers) and Neuroscience and Neuropharmacology Research (4 papers). The work is most often cited by research in Biochemistry (100 citations), Cancer Research (182 citations), Nutrition and Dietetics (140 citations), Cellular and Molecular Neuroscience (136 citations) and Cell Biology (106 citations). Haiguo Sun has collaborated with scholars based in United States, China and Norway. Frequent co-authors include Iris J. Edwards, Joseph T. O’Flaherty, Isabelle M. Berquin, Rick T. Owens, Yunping Hu, Yong Q. Chen, Swati Basu, Gloria K. Muday, Rong Chen and Leigh Brian. Their work appears in journals such as European Journal of Medicinal Chemistry, Neoplasia, PLANT PHYSIOLOGY, Journal of Neurochemistry and Bioorganic & Medicinal Chemistry Letters.

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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