Chengyi Sun

1.3k citations
24 papers · 888 indexed · h-index 15

Impact in

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

Papers in

    • Cancer, Hypoxia, and Metabolism 3
    • MicroRNA in disease regulation 2
    • Muscle Physiology and Disorders 7
    • RNA modifications and cancer 4
    • RNA Research and Splicing 3

Chengyi Sun

22 papers receiving 884 citations

Peers

Chengyi Sun
Comparison fields: 5 of 87
  • Aging 24
  • Cancer Research 141
  • Molecular Biology 587
  • Physiology 197
  • Complementary and alternative medicine 58
Replace Kevin I. Watt with:
Kevin I. Watt Australia
Yaohui Nie United States
Feng Yue United States
Katarzyna Pietraszek‐Gremplewicz Poland
Robyn Laura Kosinsky Germany
Marie‐Claude Sincennes Canada
Marta Varela-Eirín Spain
Martina Gluscevic United States
Pinky Tripathi United States
Giulia Minetti Switzerland
Chengyi Sun relative to Kevin I. Watt Australia Kevin I. Watt's profile →
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-authorship network

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
#Work
1 20250
2 20247
3 20238
4 202115
5 202145
6 2020212
7 202046
8 20202
9 201979
10 20185
11 201828
12 201730
13 201627
14 20167
15 201546
16 201544
17 20155
18 201459
19 201491
20 201437

About Chengyi Sun

Chengyi Sun is a scholar working on Cancer Research, Molecular Biology, Oncology, Physiology and Biomaterials, having authored 24 papers that have together received 888 indexed citations. Recurring topics across this work include Muscle Physiology and Disorders (7 papers), RNA modifications and cancer (4 papers), Cancer, Hypoxia, and Metabolism (3 papers), Pancreatic and Hepatic Oncology Research (3 papers), RNA Research and Splicing (3 papers), MicroRNA in disease regulation (2 papers), Adipose Tissue and Metabolism (2 papers) and Adipokines, Inflammation, and Metabolic Diseases (2 papers). The work is most often cited by research in Aging (24 citations), Cancer Research (141 citations), Molecular Biology (587 citations), Physiology (197 citations) and Complementary and alternative medicine (58 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, William L. Berry, Chao Yu, Casey O. Swoboda, Matthew T. Weirauch, Xiaoting Chen and Nathan Salomonis. Their work appears in journals such as Nature Communications, Tumor Biology, Cancer Letters, Nanomedicine and PLoS Genetics.

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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