Michael Tu
Impact in
- Periodontics top 1%
- Oral microbiology and periodontitis research
- Oral Health Pathology and Treatment
- Otorhinolaryngology top 5%
- Head and Neck Cancer Studies
Papers in ⓘ
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- Extracellular vesicles in disease 4
- Co-authors
- David T. Wong (17 shared papers)Katri Aro (2 shared papers)Karolina Elżbieta Kaczor‐Urbanowicz (3 shared papers)Carmen Martín Carreras‐Presas (2 shared papers)Franklin García‐Godoy (2 shared papers)Wei Fang (10 shared papers)Jordan Cheng (7 shared papers)Yong H. Kim (3 shared papers)
- Journals
- Journal of Molecular Diagnostics (3 papers)Rare Metals (2 papers)Journal of Visualized Experiments (2 papers)Journal of Clinical Oncology (2 papers)Journal of Thoracic Oncology (1 paper)
- Partner nations
- United StatesChinaTaiwan
In The Last Decade
Michael Tu
35 papers receiving 1.2k citations
Hit Papers
Peers
Comparison fields: 5 of 134
- Periodontics 234
- Otorhinolaryngology 94
- Cancer Research 250
- Physiology 342
- General Dentistry 20
Countries citing papers authored by Michael Tu
This map shows the geographic impact of Michael Tu'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 Michael Tu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michael Tu more than expected).
Fields of papers citing papers by Michael Tu
This network shows the impact of papers produced by Michael Tu. 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 Michael Tu. The network helps show where Michael Tu may publish in the future.
Co-authors
The 25 scholars most cited alongside Michael Tu, 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 41 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Saliva diagnostics – Current views and directions Hit paper breakdown → | 2016 | 336 |
| 2 | 2019 | 127 | |
| 3 | 2019 | 112 | |
| 4 | 2017 | 107 | |
| 5 | 2011 | 103 | |
| 6 | 2017 | 61 | |
| 7 | 2016 | 53 | |
| 8 | 2016 | 48 | |
| 9 | 2015 | 36 | |
| 10 | 2018 | 35 | |
| 11 | 2020 | 34 | |
| 12 | 2005 | 27 | |
| 13 | 2015 | 25 | |
| 14 | 2018 | 15 | |
| 15 | 2020 | 15 | |
| 16 | 2021 | 15 | |
| 17 | 2006 | 15 | |
| 18 | 2022 | 11 | |
| 19 | 2017 | 10 | |
| 20 | 2020 | 10 |
About Michael Tu
Michael Tu is a scholar working on Biomedical Engineering, Molecular Biology, Physiology, Surgery and Cancer Research, having authored 41 papers that have together received 1.3k indexed citations. Recurring topics across this work include Salivary Gland Disorders and Functions (7 papers), Salivary Gland Tumors Diagnosis and Treatment (5 papers), Cancer Genomics and Diagnostics (4 papers), Extracellular vesicles in disease (4 papers), SARS-CoV-2 detection and testing (3 papers), Microbial Inactivation Methods (3 papers), SARS-CoV-2 and COVID-19 Research (3 papers) and Lung Cancer Treatments and Mutations (3 papers). The work is most often cited by research in Periodontics (234 citations), Otorhinolaryngology (94 citations), Cancer Research (250 citations), Physiology (342 citations) and General Dentistry (20 citations). Michael Tu has collaborated with scholars based in United States, China and Taiwan. Frequent co-authors include David T. Wong, Katri Aro, Karolina Elżbieta Kaczor‐Urbanowicz, Carmen Martín Carreras‐Presas, Franklin García‐Godoy, Wei Fang, Jordan Cheng, Yong H. Kim, David Chia and Feng Li. Their work appears in journals such as Journal of Molecular Diagnostics, Rare Metals, Journal of Visualized Experiments, Journal of Clinical Oncology and Journal of Thoracic Oncology.
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.