Shuyu Gui

1.2k citations
38 papers · 655 · h-index 17

Impact in

Papers in

    • Retinoids in leukemia and cellular processes 7
    • Inflammasome and immune disorders 3
    • Atherosclerosis and Cardiovascular Diseases 4
    • Inflammation biomarkers and pathways 3
    • interferon and immune responses 3
    • Galectins and Cancer Biology 2

Shuyu Gui

38 papers receiving 646 citations

Peers

Shuyu Gui
Comparison fields: 5 of 87
  • Endocrine and Autonomic Systems 134
  • Aging 13
  • Cancer Research 91
  • Biological Psychiatry 13
  • Immunology 113
Replace Lu Gao with:
Lu Gao China
Nicolas Leuenberger Switzerland
Sara Carbajo‐Pescador Spain
Ava Safaroghli‐Azar Iran
Sarah Hummasti United States
Ninu Poulose United States
Jeongmin Park South Korea
Fjodor H. van der Sluijs Netherlands
Kezhi Dai United States
Tracy Teodoro Canada
Shuyu Gui relative to Lu Gao China Lu Gao's profile →
Citations per field
00.5×1.5×1.9×
Lu Gao · 1×
Citations per year

Countries citing papers authored by Shuyu Gui

Since Specialization
Citations

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

Fields of papers citing papers by Shuyu Gui

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 38 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201472
2 200849
3 201841
4 201335
5 201932
6 201132
7 201532
8 201332
9 201630
10 201129
11 201625
12 200824
13 201324
14 201022
15 201419
16 201318
17 201616
18 202014
19 201413
20 201512

About Shuyu Gui

Shuyu Gui is a scholar working on Molecular Biology, Immunology, Endocrine and Autonomic Systems, Pulmonary and Respiratory Medicine and Physiology, having authored 38 papers that have together received 655 indexed citations. Recurring topics across this work include Retinoids in leukemia and cellular processes (7 papers), Circadian rhythm and melatonin (4 papers), Atherosclerosis and Cardiovascular Diseases (4 papers), Inflammation biomarkers and pathways (3 papers), interferon and immune responses (3 papers), Inflammasome and immune disorders (3 papers), Autophagy in Disease and Therapy (3 papers) and Galectins and Cancer Biology (2 papers). The work is most often cited by research in Endocrine and Autonomic Systems (134 citations), Aging (13 citations), Cancer Research (91 citations), Biological Psychiatry (13 citations) and Immunology (113 citations). Shuyu Gui has collaborated with scholars based in China, Czechia and Saint Kitts and Nevis. Frequent co-authors include Qing Zhou, Yuan Wang, Huaqing Zhu, Sumei Zhang, Wanchun Yang, Qing Zhou, Li Zuo, Feihu Chen, Yuan Wang and Yinliang Qi. Their work appears in journals such as Molecular and Cellular Biochemistry, Biomedicine & Pharmacotherapy, Oncology Reports, Journal of Interferon & Cytokine Research and Brazilian Journal of Medical and Biological Research.

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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