Mike Wang
Impact in
- Infectious Diseases top 2%
- SARS-CoV-2 detection and testing
- SARS-CoV-2 and COVID-19 Research
- COVID-19 Clinical Research Studies
- Modeling and Simulation top 5%
- COVID-19 epidemiological studies
Papers in
- Oncology 7
- Cancer Immunotherapy and Biomarkers 4
- Colorectal Cancer Treatments and Studies 2
- Co-authors
- Jordan Peccia (2 shared papers)Alessandro Zulli (2 shared papers)Dennis Wang (2 shared papers)Edward H. Kaplan (2 shared papers)Amyn A. Malik (2 shared papers)Albert I. Ko (1 shared paper)Saad B. Omer (1 shared paper)Arnau Casanovas‐Massana (1 shared paper)
- Journals
- Thrombosis and Haemostasis (1 paper)Bioinformatics (1 paper)Clinical Cancer Research (1 paper)Journal for ImmunoTherapy of Cancer (1 paper)Journal of Pain and Symptom Management (1 paper)
- Partner nations
- United StatesCanadaTaiwan
In The Last Decade
Mike Wang
29 papers receiving 1.1k citations
Mike Wang's Hit Papers
Peers
Comparison fields: 5 of 114
- Infectious Diseases 641
- Modeling and Simulation 67
- General Dentistry 15
- Developmental Neuroscience 36
- Biomedical Engineering 340
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 32 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Measurement of SARS-CoV-2 RNA in wastewater tracks community infection dynamics Hit paper breakdown → | 2020 | 669 |
| 2 | 2015 | 90 | |
| 3 | 2006 | 55 | |
| 4 | 2020 | 50 | |
| 5 | 2020 | 30 | |
| 6 | 2016 | 30 | |
| 7 | 2008 | 27 | |
| 8 | 2025 | 16 | |
| 9 | 2010 | 15 | |
| 10 | 2022 | 13 | |
| 11 | 2021 | 12 | |
| 12 | 2014 | 12 | |
| 13 | 2016 | 10 | |
| 14 | 2019 | 10 | |
| 15 | 2023 | 9 | |
| 16 | 2007 | 9 | |
| 17 | 2022 | 8 | |
| 18 | 2018 | 7 | |
| 19 | 2019 | 4 | |
| 20 | 2017 | 3 |
About Mike Wang
Mike Wang is a scholar working on Oncology, Electrical and Electronic Engineering, Molecular Biology, Infectious Diseases and Surgery, having authored 32 papers that have together received 1.1k indexed citations. Recurring topics across this work include Cancer Immunotherapy and Biomarkers (4 papers), Colorectal Cancer Treatments and Studies (2 papers), Epigenetics and DNA Methylation (2 papers), Melanoma and MAPK Pathways (2 papers), Spacecraft and Cryogenic Technologies (2 papers), SARS-CoV-2 and COVID-19 Research (2 papers), SARS-CoV-2 detection and testing (2 papers) and Neurogenesis and neuroplasticity mechanisms (1 paper). The work is most often cited by research in Infectious Diseases (641 citations), Modeling and Simulation (67 citations), General Dentistry (15 citations), Developmental Neuroscience (36 citations) and Biomedical Engineering (340 citations). Mike Wang has collaborated with scholars based in United States, Canada and Taiwan. Frequent co-authors include Jordan Peccia, Alessandro Zulli, Dennis Wang, Edward H. Kaplan, Amyn A. Malik, Albert I. Ko, Saad B. Omer, Arnau Casanovas‐Massana, Doug E. Brackney and Joshua L. Warren. Their work appears in journals such as Thrombosis and Haemostasis, Bioinformatics, Clinical Cancer Research, Journal for ImmunoTherapy of Cancer and Journal of Pain and Symptom Management.
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.