Kaiming Wang
- Infectious Diseases top 1%
- Neurology top 2%
- Molecular Biology
- Cardiology and Cardiovascular Medicine top 10%
- Obstetrics and Gynecology top 5%
- Co-authors
- Gavin Y. OuditMahmoud GheblawiAnissa ViveirosMaria B. GrantQuynh NguyenAnthony J. TurnerMohan K. RaizadaJosef Penninger
- Topics
- Pediatric Hepatobiliary Diseases and Treatments (5 papers)Gallbladder and Bile Duct Disorders (5 papers)COVID-19 Clinical Research Studies (4 papers)
- Journals
- CellCirculationCirculation Research
In The Last Decade
Kaiming Wang
19 papers receiving 1.7k citations
Hit Papers
Peers
Comparison fields: 5 of 104
- Infectious Diseases 1.1k
- Neurology 553
- Molecular Biology 271
- Cardiology and Cardiovascular Medicine 211
- Obstetrics and Gynecology 147
Countries citing papers authored by Kaiming Wang
This map shows the geographic impact of Kaiming 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 Kaiming Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kaiming Wang more than expected).
Fields of papers citing papers by Kaiming Wang
This network shows the impact of papers produced by Kaiming 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 Kaiming Wang. The network helps show where Kaiming Wang may publish in the future.
Co-authorship network of co-authors of Kaiming Wang
This figure shows the co-authorship network connecting the top 25 collaborators of Kaiming Wang. A scholar is included among the top collaborators of Kaiming Wang based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Kaiming Wang. Kaiming Wang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 1 | |
| 3 | 3 | |
| 4 | 5 | |
| 5 | Angiotensin-converting enzyme 2—at the heart of the COVID-19 pandemicbreakdown → | 70 |
| 6 | 33 | |
| 7 | 5 | |
| 8 | 4 | |
| 9 | 4 | |
| 10 | 2 | |
| 11 | Angiotensin-Converting Enzyme 2: SARS-CoV-2 Receptor and Regulator of the Renin-Angiotensin Systembreakdown → | 1369 |
| 12 | 6 | |
| 13 | 200 | |
| 14 | 3 | |
| 15 | 2 | |
| 16 | 5 | |
| 17 | 8 | |
| 18 | 21 | |
| 19 | 4 | |
| 20 | 1 |
About Kaiming Wang
Kaiming Wang is a scholar working on Gastroenterology, Pulmonary and Respiratory Medicine and Developmental Neuroscience, having authored 20 papers that have together received 1.7k indexed citations. Recurring topics across this work include Pediatric Hepatobiliary Diseases and Treatments (5 papers), Gallbladder and Bile Duct Disorders (5 papers) and COVID-19 Clinical Research Studies (4 papers). The work is most often cited by research in Infectious Diseases (1.1k citations), Neurology (553 citations) and Obstetrics and Gynecology (147 citations). Kaiming Wang has collaborated with scholars based in Canada, China and Taiwan. Frequent co-authors include Gavin Y. Oudit, Mahmoud Gheblawi, Anissa Viveiros, Maria B. Grant, Quynh Nguyen, Anthony J. Turner, Mohan K. Raizada, Josef Penninger, Max J. Kellner and Wendy Sligl. Their work appears in journals such as Cell, Circulation 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.