Jingping Wang

77 papers receiving 1.0k citations

Peers

Jingping Wang
Comparison fields: 5 of 131
  • Anesthesiology and Pain Medicine 100
  • Surgery 256
  • Developmental Neuroscience 23
  • Health Informatics 8
  • Neurology 75
Replace Şanser Gül with:
Şanser Gül Türkiye
Rachel J. Kaye United States
Stephen Yu United States
Ru Liu China
Kuang‐I Cheng Taiwan
Stanley Sau Ching Wong Hong Kong
Yan Yin China
Xiangcai Ruan China
Kwok-Hon Chan Taiwan
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Citations per year

Countries citing papers authored by Jingping Wang

Since Specialization
Citations

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

Fields of papers citing papers by Jingping Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 89 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2019115
2 202260
3 201756
4 202145
5 201444
6 200639
7 199838
8 200237
9
Artificial intelligence: a key to relieve China's insufficient and unequally-distributed medical resources.
201935
10 202034
11 200333
12 200230
13 201326
14
Epithelial cell adhesion molecule and epithelial-mesenchymal transition are associated with vasculogenic mimicry, poor prognosis, and metastasis of triple negative breast cancer.
201925
15
Intraoperative Intravenous Infusion of Esmketamine Has Opioid-Sparing Effect and Improves the Quality of Recovery in Patients Undergoing Thoracic Surgery: A Randomized, Double-Blind, Placebo-Controlled Clinical Trial.
202221
16 202020
17 200020
18 201717
19 202217
20 200917

About Jingping Wang

Jingping Wang is a scholar working on Surgery, Pulmonary and Respiratory Medicine, Anesthesiology and Pain Medicine, Molecular Biology and Oncology, having authored 89 papers that have together received 1.0k indexed citations. Recurring topics across this work include Mesenchymal stem cell research (6 papers), Anesthesia and Pain Management (6 papers), Anesthesia and Sedative Agents (6 papers), Pain Management and Opioid Use (5 papers), Electrospun Nanofibers in Biomedical Applications (4 papers), Infection Control and Ventilation (4 papers), Cardiac Ischemia and Reperfusion (4 papers) and Antibiotics Pharmacokinetics and Efficacy (3 papers). The work is most often cited by research in Anesthesiology and Pain Medicine (100 citations), Surgery (256 citations), Developmental Neuroscience (23 citations), Health Informatics (8 citations) and Neurology (75 citations). Jingping Wang has collaborated with scholars based in China, United States and Belgium. Frequent co-authors include Zhong‐Jin Yang, Gerardo Bosco, Linda Tang, Enrico M. Camporesi, Chengluan Xuan, Xiangyi Kong, Theodore A. Alston, Cong Li, Haichun Ma and Ariel Mueller. Their work appears in journals such as Anesthesia & Analgesia, British Journal of Anaesthesia, Journal of Oral and Maxillofacial Surgery, Clinical and Experimental Pharmacology and Physiology and Catheterization and Cardiovascular Interventions.

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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