Wesley Wang
Impact in
- Automotive Engineering top 10%
- Additive Manufacturing and 3D Printing Technologies
-
- Glioma Diagnosis and Treatment
Papers in
-
- Virtual Reality Applications and Impacts 4
- Genetics 4
- Glioma Diagnosis and Treatment 4
- Co-authors
- S. M. Kelly (2 shared papers)Emory M. Chan (2 shared papers)Yu Shrike Zhang (1 shared paper)Ali Khademhosseini (1 shared paper)Philipp Walch (1 shared paper)Su Ryon Shin (1 shared paper)Mohamadmahdi Samandari (1 shared paper)Karen Abrinia (1 shared paper)
- Journals
- Brain Pathology (3 papers)Acta Neuropathologica Communications (2 papers)Chemistry of Materials (2 papers)Neuro-Oncology (1 paper)Neuro-Oncology Advances (1 paper)
- Partner nations
- United StatesGermanyArgentina
In The Last Decade
Wesley Wang
24 papers receiving 693 citations
Peers
Comparison fields: 5 of 116
- Automotive Engineering 78
- Genetics 60
- Biomedical Engineering 180
- Materials Chemistry 157
- Human-Computer Interaction 19
Countries citing papers authored by Wesley Wang
This map shows the geographic impact of Wesley 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 Wesley Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Wesley Wang more than expected).
Fields of papers citing papers by Wesley Wang
This network shows the impact of papers produced by Wesley 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 Wesley Wang. The network helps show where Wesley Wang may publish in the future.
Co-authors
The 25 scholars most cited alongside Wesley 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 26 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 153 | |
| 2 | 2020 | 150 | |
| 3 | 2010 | 78 | |
| 4 | 2020 | 66 | |
| 5 | 2023 | 46 | |
| 6 | 2016 | 39 | |
| 7 | 2018 | 32 | |
| 8 | 2019 | 29 | |
| 9 | 2021 | 22 | |
| 10 | 2015 | 21 | |
| 11 | 2017 | 10 | |
| 12 | 2016 | 9 | |
| 13 | 2023 | 9 | |
| 14 | 2021 | 7 | |
| 15 | 2017 | 6 | |
| 16 | 2022 | 6 | |
| 17 | 2024 | 5 | |
| 18 | 2023 | 5 | |
| 19 | 2022 | 4 | |
| 20 | 1999 | 4 |
About Wesley Wang
Wesley Wang is a scholar working on Human-Computer Interaction, Genetics, Pulmonary and Respiratory Medicine, Fluid Flow and Transfer Processes and Endocrine and Autonomic Systems, having authored 26 papers that have together received 713 indexed citations. Recurring topics across this work include Glioma Diagnosis and Treatment (4 papers), Virtual Reality Applications and Impacts (4 papers), Sarcoma Diagnosis and Treatment (2 papers), Quantum Dots Synthesis And Properties (2 papers), Glycosylation and Glycoproteins Research (2 papers), Protein purification and stability (2 papers), Macrophage Migration Inhibitory Factor (2 papers) and Biodiesel Production and Applications (2 papers). The work is most often cited by research in Automotive Engineering (78 citations), Genetics (60 citations), Biomedical Engineering (180 citations), Materials Chemistry (157 citations) and Human-Computer Interaction (19 citations). Wesley Wang has collaborated with scholars based in United States, Germany and Argentina. Frequent co-authors include S. M. Kelly, Emory M. Chan, Yu Shrike Zhang, Ali Khademhosseini, Philipp Walch, Su Ryon Shin, Mohamadmahdi Samandari, Karen Abrinia, Amir Manbachi and Farideh Davoudi. Their work appears in journals such as Brain Pathology, Acta Neuropathologica Communications, Chemistry of Materials, Neuro-Oncology and Neuro-Oncology Advances.
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.