Jing Wang

7.0k citations
265 papers · 4.0k indexed · h-index 28

Impact in

Papers in

Jing Wang

241 papers receiving 4.0k citations

Peers

Jing Wang
Comparison fields: 5 of 133
  • Cardiology and Cardiovascular Medicine 719
  • Immunology 644
  • Cancer Research 432
  • Pulmonary and Respiratory Medicine 924
  • Molecular Biology 1.6k
Replace Daniel Sedding with:
Daniel Sedding Germany
Qingwei Zhao China
Hong Lü United States
Junichi Masuda Japan
Veronika A. Myasoedova Italy
Erik Øie Norway
Jaye Chin‐Dusting Australia
Adam E. Mullick United States
Patrick Münzer Germany
Qiaobing Huang China
Jing Wang relative to Daniel Sedding Germany Daniel Sedding's profile →
Citations per field
00.5×1.5×1.8×
Daniel Sedding · 1×
Citations per year

Countries citing papers authored by Jing Wang

Since Specialization
Citations

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

Fields of papers citing papers by Jing Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown
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18 20185
19
A novel mutation in GJA8 causing congenital cataract-microcornea syndrome in a Chinese pedigree.
201021
20
A novel GJA8 mutation (p.I31T) causing autosomal dominant congenital cataract in a Chinese family.
200925

About Jing Wang

Jing Wang is a scholar working on Cardiology and Cardiovascular Medicine, Immunology, Pulmonary and Respiratory Medicine, Molecular Biology and Nephrology, having authored 265 papers that have together received 4.0k indexed citations. Recurring topics across this work include Inflammasome and immune disorders (29 papers), Pulmonary Hypertension Research and Treatments (29 papers), Cardiovascular Function and Risk Factors (23 papers), Cardiac pacing and defibrillation studies (16 papers), Receptor Mechanisms and Signaling (15 papers), Heart Failure Treatment and Management (14 papers), Interstitial Lung Diseases and Idiopathic Pulmonary Fibrosis (13 papers) and Aortic aneurysm repair treatments (12 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (719 citations), Immunology (644 citations), Cancer Research (432 citations), Pulmonary and Respiratory Medicine (924 citations) and Molecular Biology (1.6k citations). Jing Wang has collaborated with scholars based in China, United States and Canada. Frequent co-authors include Ting Shu, Meiling Bao, Chen‐Jiang Wu, Yu‐Dong Zhang, Zhong-Ping Chen, Xiaoning Wang, Jing Zhang, Hua Zhao, Wei-Ping Li and Wei Shao. Their work appears in journals such as Frontiers in Cardiovascular Medicine, Frontiers in Pharmacology, Medicine, Scientific Reports and Circulation 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.

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