Chen Chi

1.2k citations
51 papers · 892 · 1 hit paper · h-index 15

Impact in

Papers in

Chen Chi

48 papers receiving 878 citations

Chen Chi's Hit Papers

Pro-ferroptotic signaling promotes arterial aging via vascular smooth muscle cell senescence 2024 · 77 citations
770+1Years since publication255075

Peers

Chen Chi
Comparison fields: 5 of 65
  • Cardiology and Cardiovascular Medicine 365
  • Endocrinology, Diabetes and Metabolism 227
  • Nephrology 76
  • Aging 6
  • Geriatrics and Gerontology 10
Replace Hirofumi Maeda with:
Hirofumi Maeda Japan
Hirofumi Kurokawa Japan
Maria I. Pikilidou Greece
Linxin Xu China
Yawei Xu China
Jamie C. Smith United Kingdom
Tomoo Furumoto Japan
Leiming Luo China
Renzo De Toni Italy
Remzi Yılmaz Türkiye
Chen Chi relative to Hirofumi Maeda Japan Hirofumi Maeda's profile →
Citations per field
00.5×2×4×5.6×
Hirofumi Maeda · 1×
Citations per year

Countries citing papers authored by Chen Chi

Since Specialization
Citations

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

Fields of papers citing papers by Chen Chi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 51 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2019227
2
Pro-ferroptotic signaling promotes arterial aging via vascular smooth muscle cell senescence
Hit paper breakdown →
202477
3 202276
4 201757
5 202240
6 201732
7 201631
8 201822
9 202118
10 201517
11 201717
12 201817
13 201416
14 201716
15 201715
16 201815
17 201915
18 202114
19 202114
20 201813

About Chen Chi

Chen Chi is a scholar working on Cardiology and Cardiovascular Medicine, Endocrinology, Diabetes and Metabolism, Immunology, Nephrology and Physiology, having authored 51 papers that have together received 892 indexed citations. Recurring topics across this work include Cardiovascular Health and Disease Prevention (24 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (10 papers), Blood Pressure and Hypertension Studies (9 papers), Cardiovascular Function and Risk Factors (8 papers), Cardiovascular Disease and Adiposity (3 papers), Lipoproteins and Cardiovascular Health (3 papers), Chronic Kidney Disease and Diabetes (2 papers) and Heart Failure Treatment and Management (2 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (365 citations), Endocrinology, Diabetes and Metabolism (227 citations), Nephrology (76 citations), Aging (6 citations) and Geriatrics and Gerontology (10 citations). Chen Chi has collaborated with scholars based in China, France and Greece. Frequent co-authors include Yi Zhang, Yawei Xu, Shikai Yu, Jiadela Teliewubai, Hongwei Ji, Ximin Fan, Song Zhao, Jiamin Tang, Jing Xiong and Yuyan Lu. Their work appears in journals such as Clinical Interventions in Aging, Frontiers in Cardiovascular Medicine, Journal of Clinical Hypertension, Journal of the American Society of Hypertension and Aging Clinical and Experimental 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.

Explore authors with similar magnitude of impact