Chengyi Sun

1.4k citations
23 papers · 929 · h-index 15

Impact in

  • Aging top 10%
    • MicroRNA in disease regulation
    • Cancer-related molecular mechanisms research

Papers in

    • Muscle Physiology and Disorders 7
    • RNA Research and Splicing 3
    • RNA modifications and cancer 3
    • Cancer, Hypoxia, and Metabolism 3
    • MicroRNA in disease regulation 2

Chengyi Sun

22 papers receiving 925 citations

Peers

Chengyi Sun
Comparison fields: 5 of 87
  • Aging 24
  • Cancer Research 126
  • Molecular Biology 578
  • Physiology 180
  • Complementary and alternative medicine 57
Replace Kevin I. Watt with:
Kevin I. Watt Australia
Yaohui Nie United States
Feng Yue United States
Marta Varela-Eirín Spain
Marie‐Claude Sincennes Canada
Martina Gluscevic United States
Pinky Tripathi United States
Katarzyna Pietraszek‐Gremplewicz Poland
Giulia Minetti Switzerland
Michael R. Morissette United States
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Citations per field
00.5×1.5×2.1×
Kevin I. Watt · 1×
Citations per year

Countries citing papers authored by Chengyi Sun

Since Specialization
Citations

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

Fields of papers citing papers by Chengyi Sun

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 23 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2020227
2 201494
3 201985
4 201763
5 201459
6 202047
7 202147
8 201547
9 201546
10 201438
11 201731
12 201629
13 201629
14 201828
15 202117
16 202410
17 20238
18 20168
19 20155
20 20185

About Chengyi Sun

Chengyi Sun is a scholar working on Molecular Biology, Cancer Research, Oncology, Physiology and Surgery, having authored 23 papers that have together received 929 indexed citations. Recurring topics across this work include Muscle Physiology and Disorders (7 papers), RNA Research and Splicing (3 papers), RNA modifications and cancer (3 papers), Cancer, Hypoxia, and Metabolism (3 papers), Adipose Tissue and Metabolism (2 papers), Pancreatic and Hepatic Oncology Research (2 papers), Adipokines, Inflammation, and Metabolic Diseases (2 papers) and MicroRNA in disease regulation (2 papers). The work is most often cited by research in Aging (24 citations), Cancer Research (126 citations), Molecular Biology (578 citations), Physiology (180 citations) and Complementary and alternative medicine (57 citations). Chengyi Sun has collaborated with scholars based in China, United States and Norway. Frequent co-authors include Douglas P. Millay, Michael J. Petrany, Jianxin Jiang, Lorin E. Olson, Matthew T. Weirauch, Casey O. Swoboda, William L. Berry, Kashish Chetal, Xiaoting Chen and Nathan Salomonis. Their work appears in journals such as Nature Communications, Tumor Biology, Cancer Letters, Development and The International Journal of Biological Markers.

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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