Mike Wang

2.2k citations
31 papers · 1.0k · 1 hit paper · h-index 11

Impact in

Papers in

Mike Wang

28 papers receiving 1.0k citations

Mike Wang's Hit Papers

Measurement of SARS-CoV-2 RNA in wastewater tracks community infection dynamics 2020 · 640 citations
6400+2+4Years since publication200400600

Peers

Mike Wang
Comparison fields: 5 of 118
  • Infectious Diseases 629
  • Modeling and Simulation 68
  • General Dentistry 16
  • Developmental Neuroscience 35
  • Biomedical Engineering 354
Replace Lan Yang with:
Lan Yang China
Jin Chen China
Alexander Bello Canada
Xiujuan Qu China
Stefan Reichenberg Germany
Zhanlian Huang China
Hannah M. Thompson United States
Xiaohua Tan China
Kaisong Wu China
Mike Wang relative to Lan Yang China Lan Yang's profile →
Citations per field
00.5×6.3×
Lan Yang · 1×
Citations per year

Countries citing papers authored by Mike Wang

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Mike Wang Line = papers co-authored together Mike Wang links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 31 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 →
2020640
2 201590
3 200654
4 202047
5 202029
6 201628
7 200826
8 201013
9 201412
10 202112
11 202211
12 202510
13 201910
14 20079
15 20169
16 20238
17 20186
18 20226
19 20194
20 20103

About Mike Wang

Mike Wang is a scholar working on Molecular Biology, Electrical and Electronic Engineering, Oncology, Immunology and Infectious Diseases, having authored 31 papers that have together received 1.0k indexed citations. Recurring topics across this work include Cancer Immunotherapy and Biomarkers (3 papers), Melanoma and MAPK Pathways (2 papers), SARS-CoV-2 detection and testing (2 papers), Health Systems, Economic Evaluations, Quality of Life (2 papers), Immunotherapy and Immune Responses (2 papers), Colorectal Cancer Treatments and Studies (2 papers), CAR-T cell therapy research (2 papers) and Epigenetics and DNA Methylation (2 papers). The work is most often cited by research in Infectious Diseases (629 citations), Modeling and Simulation (68 citations), General Dentistry (16 citations), Developmental Neuroscience (35 citations) and Biomedical Engineering (354 citations). Mike Wang has collaborated with scholars based in United States, Canada and Taiwan. Frequent co-authors include Dennis Wang, Amyn A. Malik, Edward H. Kaplan, Jordan Peccia, Alessandro Zulli, Wyatt Arnold, Doug E. Brackney, Saad B. Omer, Daniel M. Weinberger and Nathan D. Grubaugh. Their work appears in journals such as Health Care Management Science, Clinical Cancer Research, JAMA Network Open, Scientific Reports and Journal of Proteome 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.

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