Hao‐Ven Wang
Impact in
- Immunology and Allergy top 1%
- Cell Adhesion Molecules Research
- Cell Biology top 5%
- Cellular Mechanics and Interactions
- Caveolin-1 and cellular processes
Papers in
-
- Muscle Physiology and Disorders 4
-
- Cellular Mechanics and Interactions 4
- Skin and Cellular Biology Research 2
- Co-authors
- Markus Moser (4 shared papers)Reinhard Fässler (3 shared papers)Stefan Linder (1 shared paper)Siegfried Ussar (1 shared paper)Michael Sixt (1 shared paper)Markus Sperandio (1 shared paper)Raphael Ruppert (1 shared paper)Sarah Schmidt (1 shared paper)
- Journals
- Animals (3 papers)PLoS ONE (3 papers)Developmental Dynamics (2 papers)Biochemical and Biophysical Research Communications (1 paper)Fish & Shellfish Immunology (1 paper)
- Partner nations
- TaiwanUnited StatesGermany
In The Last Decade
Hao‐Ven Wang
23 papers receiving 833 citations
Peers
Comparison fields: 5 of 81
- Immunology and Allergy 423
- Cell Biology 250
- Hematology 111
- Immunology 200
- Molecular Biology 376
Countries citing papers authored by Hao‐Ven Wang
This map shows the geographic impact of Hao‐Ven 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 Hao‐Ven Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hao‐Ven Wang more than expected).
Fields of papers citing papers by Hao‐Ven Wang
This network shows the impact of papers produced by Hao‐Ven 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 Hao‐Ven Wang. The network helps show where Hao‐Ven Wang may publish in the future.
Co-authors
The 25 scholars most cited alongside Hao‐Ven Wang, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 24 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2009 | 286 | |
| 2 | 2006 | 206 | |
| 3 | 2008 | 86 | |
| 4 | 2004 | 37 | |
| 5 | 2015 | 31 | |
| 6 | 2008 | 28 | |
| 7 | 2016 | 26 | |
| 8 | 2014 | 25 | |
| 9 | 2015 | 20 | |
| 10 | 2014 | 19 | |
| 11 | 2015 | 15 | |
| 12 | 2015 | 14 | |
| 13 | 2017 | 13 | |
| 14 | 2022 | 10 | |
| 15 | 2016 | 7 | |
| 16 | 2023 | 6 | |
| 17 | 2021 | 4 | |
| 18 | 2023 | 4 | |
| 19 | 2024 | 3 | |
| 20 | 2020 | 2 |
About Hao‐Ven Wang
Hao‐Ven Wang is a scholar working on Molecular Biology, Cell Biology, Genetics, Immunology and Immunology and Allergy, having authored 24 papers that have together received 847 indexed citations. Recurring topics across this work include Aquaculture disease management and microbiota (4 papers), Cellular Mechanics and Interactions (4 papers), Muscle Physiology and Disorders (4 papers), Cell Adhesion Molecules Research (3 papers), Wound Healing and Treatments (2 papers), Olfactory and Sensory Function Studies (2 papers), Skin and Cellular Biology Research (2 papers) and Cardiomyopathy and Myosin Studies (2 papers). The work is most often cited by research in Immunology and Allergy (423 citations), Cell Biology (250 citations), Hematology (111 citations), Immunology (200 citations) and Molecular Biology (376 citations). Hao‐Ven Wang has collaborated with scholars based in Taiwan, United States and Germany. Frequent co-authors include Markus Moser, Reinhard Fässler, Stefan Linder, Siegfried Ussar, Michael Sixt, Markus Sperandio, Raphael Ruppert, Sarah Schmidt, Martina Bauer and Stephan Schmid. Their work appears in journals such as Animals, PLoS ONE, Developmental Dynamics, Biochemical and Biophysical Research Communications and Fish & Shellfish Immunology.
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.