Mike Wang
Impact in
- Infectious Diseases top 5%
- SARS-CoV-2 detection and testing
- Developmental Neuroscience top 10%
Papers in
- Oncology 6
- Cancer Immunotherapy and Biomarkers 5
- Co-authors
- Dennis Y.Q. Wang (2 shared papers)Alessandro Zulli (2 shared papers)Jordan Peccia (2 shared papers)Edward H. Kaplan (2 shared papers)Amyn A. Malik (2 shared papers)Saad B. Omer (1 shared paper)Nathan D. Grubaugh (1 shared paper)Doug E. Brackney (1 shared paper)
- Journals
- Journal of the American Academy of Dermatology (3 papers)Current Oncology Reports (1 paper)Nature (1 paper)Journal of Pain and Symptom Management (1 paper)Scientific Reports (1 paper)
- Partner nations
- United StatesCanadaUnited Kingdom
In The Last Decade
Mike Wang
35 papers receiving 1.4k citations
Peers
Comparison fields: 5 of 112
- Infectious Diseases 674
- Developmental Neuroscience 34
- Modeling and Simulation 44
- Oncology 88
- Pollution 40
Countries citing papers authored by Mike Wang
This map shows the geographic impact of Mike 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 Mike Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mike Wang more than expected).
Fields of papers citing papers by Mike Wang
This network shows the impact of papers produced by Mike 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 Mike Wang. The network helps show where Mike Wang may publish in the future.
Co-authors
The 25 scholars most cited alongside Mike 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 37 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 756 | |
| 2 | 2015 | 108 | |
| 3 | 2018 | 60 | |
| 4 | 2020 | 58 | |
| 5 | 2006 | 55 | |
| 6 | 2024 | 43 | |
| 7 | 2013 | 41 | |
| 8 | 2018 | 37 | |
| 9 | 2016 | 32 | |
| 10 | 2020 | 32 | |
| 11 | 2025 | 30 | |
| 12 | 2008 | 29 | |
| 13 | 2019 | 25 | |
| 14 | 2010 | 15 | |
| 15 | 2021 | 14 | |
| 16 | 2022 | 14 | |
| 17 | 2014 | 12 | |
| 18 | 2023 | 12 | |
| 19 | 2016 | 10 | |
| 20 | 2019 | 10 |
About Mike Wang
Mike Wang is a scholar working on Oncology, Developmental Neuroscience, Immunology, Epidemiology and Spectroscopy, having authored 37 papers that have together received 1.4k indexed citations. Recurring topics across this work include Cancer Immunotherapy and Biomarkers (5 papers), Nonmelanoma Skin Cancer Studies (3 papers), Management of metastatic bone disease (2 papers), Advanced Proteomics Techniques and Applications (2 papers), Immune cells in cancer (2 papers), Electric and Hybrid Vehicle Technologies (1 paper), Healthcare Policy and Management (1 paper) and Melanoma and MAPK Pathways (1 paper). The work is most often cited by research in Infectious Diseases (674 citations), Developmental Neuroscience (34 citations), Modeling and Simulation (44 citations), Oncology (88 citations) and Pollution (40 citations). Mike Wang has collaborated with scholars based in United States, Canada and United Kingdom. Frequent co-authors include Dennis Y.Q. Wang, Alessandro Zulli, Jordan Peccia, Edward H. Kaplan, Amyn A. Malik, Saad B. Omer, Nathan D. Grubaugh, Doug E. Brackney, Wyatt Arnold and Joshua L. Warren. Their work appears in journals such as Journal of the American Academy of Dermatology, Current Oncology Reports, Nature, Journal of Pain and Symptom Management and Scientific Reports.
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.