Shengyi Sun

2.8k citations
38 papers · 1.9k · h-index 22

Impact in

    • Endoplasmic Reticulum Stress and Disease
    • Adipokines, Inflammation, and Metabolic Diseases
    • Autophagy in Disease and Therapy

Papers in

    • Endoplasmic Reticulum Stress and Disease 16
    • Pluripotent Stem Cells Research 5
    • CRISPR and Genetic Engineering 4

Shengyi Sun

36 papers receiving 1.8k citations

Peers

Shengyi Sun
Comparison fields: 5 of 94
  • Cell Biology 583
  • Epidemiology 596
  • Physiology 408
  • Immunology 328
  • Physiology 59
Replace Mariana Igoillo‐Esteve with:
Mariana Igoillo‐Esteve Belgium
Haibo Sha United States
Jaime L. Schneider United States
Clara Quiroga Chile
Joanne Rasschaert Belgium
Celvie L. Yuan United States
Andrea Rodríguez Chile
Luca Ulianich Italy
Qi‐Qun Tang China
Klementina Fon Tacer United States
Shengyi Sun relative to Mariana Igoillo‐Esteve Belgium Mariana Igoillo‐Esteve's profile →
Citations per field
00.5×1.5×2.4×
Mariana Igoillo‐Esteve · 1×
Citations per year

Countries citing papers authored by Shengyi Sun

Since Specialization
Citations

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

Fields of papers citing papers by Shengyi Sun

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Shengyi 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 Shengyi Sun Line = papers co-authored together Shengyi Sun 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 2012236
2 2012174
3 2014166
4 2012118
5 2014100
6 201798
7 201091
8 201589
9 201868
10 201766
11 201063
12 201261
13 201951
14 202047
15 200947
16 201544
17 200940
18 201435
19 202128
20 202323

About Shengyi Sun

Shengyi Sun is a scholar working on Cell Biology, Molecular Biology, Epidemiology, Surgery and Physiology, having authored 38 papers that have together received 1.9k indexed citations. Recurring topics across this work include Endoplasmic Reticulum Stress and Disease (16 papers), Pancreatic function and diabetes (10 papers), Autophagy in Disease and Therapy (9 papers), Immune Cell Function and Interaction (6 papers), Adipose Tissue and Metabolism (6 papers), Pluripotent Stem Cells Research (5 papers), CRISPR and Genetic Engineering (4 papers) and Adipokines, Inflammation, and Metabolic Diseases (3 papers). The work is most often cited by research in Cell Biology (583 citations), Epidemiology (596 citations), Physiology (408 citations), Immunology (328 citations) and Physiology (59 citations). Shengyi Sun has collaborated with scholars based in United States, China and Netherlands. Frequent co-authors include Ling Qi, Sander Kersten, Yewei Ji, Yewei Ji, Liu Yang, Qiaoming Long, Sheng Xia, Zhen Xue, Jason W. Locasale and Yin He. Their work appears in journals such as Nature Communications, Proceedings of the National Academy of Sciences, Journal of Biological Chemistry, Molecular Biology of the Cell and Cell Reports.

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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