Chi Wang

1.3k citations
54 papers · 927 · h-index 20

Impact in

Papers in

Chi Wang

48 papers receiving 908 citations

Peers

Chi Wang
Comparison fields: 5 of 104
  • Obstetrics and Gynecology 61
  • Nephrology 51
  • Endocrinology, Diabetes and Metabolism 76
  • Cardiology and Cardiovascular Medicine 94
  • Pharmacology 37
Replace Paul Smits with:
Paul Smits Netherlands
Agnieszka Zwolak Poland
Keum Ji Jung South Korea
Niels H. Wacher Mexico
Mahmoud Zirie Qatar
Susanne Rospleszcz Germany
Keiko Honda Japan
Melissa D. Anderson United States
S. Rasmussen Denmark
Vasiliki Katsi Greece
Chi Wang relative to Paul Smits Netherlands Paul Smits's profile →
Citations per field
00.5×9.1×
Paul Smits · 1×
Citations per year

Countries citing papers authored by Chi Wang

Since Specialization
Citations

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

Fields of papers citing papers by Chi Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 54 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2021123
2 201468
3 201765
4 201659
5 201150
6 201841
7 202140
8 201936
9
Overexpression of mitogen-activated protein kinase kinase 4 and nuclear factor-kappaB in laryngeal squamous cell carcinoma: a potential indicator for poor prognosis.
200935
10 202333
11 201633
12 201127
13 201726
14 201825
15 201722
16 202222
17 201921
18 201920
19 202019
20 202119

About Chi Wang

Chi Wang is a scholar working on Cardiology and Cardiovascular Medicine, Oncology, Epidemiology, Public Health, Environmental and Occupational Health and Endocrinology, Diabetes and Metabolism, having authored 54 papers that have together received 927 indexed citations. Recurring topics across this work include Blood Pressure and Hypertension Studies (4 papers), Heart rate and cardiovascular health (4 papers), Pancreatic and Hepatic Oncology Research (3 papers), Maternal and Perinatal Health Interventions (2 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (2 papers), Chronic Disease Management Strategies (2 papers), Obesity, Physical Activity, Diet (2 papers) and Cardiovascular Function and Risk Factors (2 papers). The work is most often cited by research in Obstetrics and Gynecology (61 citations), Nephrology (51 citations), Endocrinology, Diabetes and Metabolism (76 citations), Cardiology and Cardiovascular Medicine (94 citations) and Pharmacology (37 citations). Chi Wang has collaborated with scholars based in China, United States and Taiwan. Frequent co-authors include Maoxiang Zhao, Hao Xue, Pei‐Ling Tang, Siyu Yao, Shouling Wu, Emily White VanGompel, Jiaying Li, Huey‐Shyan Lin, Hong Qiao and Yanhui Wu. Their work appears in journals such as Journal of Clinical Hypertension, Cancer Nursing, BMJ Open, Gastroenterology and PLoS ONE.

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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