Junshi Chen

113 papers receiving 3.6k citations

Junshi Chen's Hit Papers

Causal associations of blood lipids with risk of ischemic stroke and intracerebral hemorrhage in Chinese adults 2019 · 221 citations
2210+2+5Years since publication100200300

Peers

Junshi Chen
Comparison fields: 5 of 163
  • Biochemistry 204
  • Applied Microbiology and Biotechnology 59
  • Molecular Medicine 117
  • Pathology and Forensic Medicine 355
  • Nutrition and Dietetics 310
Replace Bu‐Tian Ji with:
Bu‐Tian Ji United States
Yong‐Bing Xiang China
Robin B. Harris United States
Stephen Bent United States
Concettina Fenga Italy
Antonio Agudo Spain
Hui Cai United States
Shinkan Tokudome Japan
Yoshikazu Nishino Japan
Μaria Dalamaga Greece
Junshi Chen relative to Bu‐Tian Ji United States Bu‐Tian Ji's profile →
Citations per field
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Citations per year

Countries citing papers authored by Junshi Chen

Since Specialization
Citations

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

Fields of papers citing papers by Junshi Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 119 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Lipids, Lipoproteins, and Metabolites and Risk of Myocardial Infarction and Stroke
Hit paper breakdown →
2018345
2
Causal associations of blood lipids with risk of ischemic stroke and intracerebral hemorrhage in Chinese adults
Hit paper breakdown →
2019221
3 2002179
4 2012157
5 2020154
6 1999124
7 201899
8 201995
9 200793
10 201790
11 200579
12 201974
13 201070
14 201866
15 200763
16 200960
17 201958
18 202156
19 200655
20 201454

About Junshi Chen

Junshi Chen is a scholar working on Public Health, Environmental and Occupational Health, Pathology and Forensic Medicine, Epidemiology, Molecular Biology and Cardiology and Cardiovascular Medicine, having authored 119 papers that have together received 3.7k indexed citations. Recurring topics across this work include Nutritional Studies and Diet (10 papers), Tea Polyphenols and Effects (7 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (6 papers), Sleep and related disorders (6 papers), Liver Disease Diagnosis and Treatment (5 papers), Cardiovascular Health and Risk Factors (4 papers), Antibiotic Resistance in Bacteria (3 papers) and Energy and Environment Impacts (3 papers). The work is most often cited by research in Biochemistry (204 citations), Applied Microbiology and Biotechnology (59 citations), Molecular Medicine (117 citations), Pathology and Forensic Medicine (355 citations) and Nutrition and Dietetics (310 citations). Junshi Chen has collaborated with scholars based in China, United Kingdom and United States. Frequent co-authors include Zhengming Chen, Liming Li, Canqing Yu, Zheng Bian, Yiping Chen, Jun Lv, Ling Yang, Yu Guo, Chi Han and Huaidong Du. Their work appears in journals such as Nutrients, The Lancet Regional Health - Western Pacific, BMC Medicine, Obesity and The Journal of Clinical Endocrinology & Metabolism.

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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