Jingwei Chi

2.0k citations
52 papers · 1.4k · 1 hit paper · h-index 18

Impact in

    • COVID-19 Clinical Research Studies
    • SARS-CoV-2 and COVID-19 Research
  • Neurology top 5%
    • Long-Term Effects of COVID-19
    • Parkinson's Disease Mechanisms and Treatments

Papers in

Jingwei Chi

49 papers receiving 1.4k citations

Hit Papers

Obesity and diabetes as high‐risk factors for severe coronavirus disease 2019 (Covid‐19) 2020 · 329 citations
3290+2+4Years since publication100200300

Peers

Jingwei Chi
Comparison fields: 5 of 129
  • Infectious Diseases 375
  • Neurology 262
  • Nephrology 63
  • Geriatrics and Gerontology 34
  • Endocrinology, Diabetes and Metabolism 132
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Jian Chen China
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Gholam Hossein Alishiri Iran
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Elisabetta Zinellu Italy
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Jingwei Chi relative to Jian Chen China Jian Chen's profile →
Citations per field
00.5×1.5×
Jian Chen · 1×
Citations per year

Countries citing papers authored by Jingwei Chi

Since Specialization
Citations

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

Fields of papers citing papers by Jingwei Chi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 52 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Obesity and diabetes as high‐risk factors for severe coronavirus disease 2019 (Covid‐19)
Hit paper breakdown →
2020329
2 2020269
3 2013128
4 2011116
5 201744
6 201242
7 202040
8 201338
9 202137
10 201336
11 201829
12 201927
13 202024
14 202222
15 202320
16 201619
17 202018
18 201717
19 201815
20 202314

About Jingwei Chi

Jingwei Chi is a scholar working on Molecular Biology, Endocrinology, Diabetes and Metabolism, Surgery, Cardiology and Cardiovascular Medicine and Epidemiology, having authored 52 papers that have together received 1.4k indexed citations. Recurring topics across this work include Lipid metabolism and disorders (7 papers), Gout, Hyperuricemia, Uric Acid (5 papers), Pancreatic function and diabetes (5 papers), Diabetes Treatment and Management (4 papers), Mitochondrial Function and Pathology (4 papers), Autophagy in Disease and Therapy (4 papers), Metabolism, Diabetes, and Cancer (4 papers) and Cancer-related molecular mechanisms research (4 papers). The work is most often cited by research in Infectious Diseases (375 citations), Neurology (262 citations), Nephrology (63 citations), Geriatrics and Gerontology (34 citations) and Endocrinology, Diabetes and Metabolism (132 citations). Jingwei Chi has collaborated with scholars based in China, United States and Sweden. Frequent co-authors include Yangang Wang, Wenshan Lv, Yue Zhou, Ramesh Raliya, Bingzi Dong, Qing Yang, Liyan Shen, Qian Pan, Danling Wang and Zhuohua Zhang. Their work appears in journals such as Frontiers in Endocrinology, PLoS ONE, Biochemical and Biophysical Research Communications, Journal of Diabetes and Scientific 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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