Michael Tu

1.9k total citations · 1 hit paper
41 papers, 1.3k citations indexed

About

Michael Tu is a scholar working on Biomedical Engineering, Molecular Biology and Physiology. According to data from OpenAlex, Michael Tu has authored 41 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Biomedical Engineering, 8 papers in Molecular Biology and 8 papers in Physiology. Recurrent topics in Michael Tu's work include Salivary Gland Disorders and Functions (7 papers), Salivary Gland Tumors Diagnosis and Treatment (5 papers) and Cancer Genomics and Diagnostics (4 papers). Michael Tu is often cited by papers focused on Salivary Gland Disorders and Functions (7 papers), Salivary Gland Tumors Diagnosis and Treatment (5 papers) and Cancer Genomics and Diagnostics (4 papers). Michael Tu collaborates with scholars based in United States, China and Taiwan. Michael Tu's 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 and has published in prestigious journals such as Cell, Journal of Clinical Oncology and The Journal of Immunology.

In The Last Decade

Michael Tu

35 papers receiving 1.2k citations

Hit Papers

Saliva diagnostics – Current views and directions 2016 2026 2019 2022 2016 100 200 300
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Saliva diagnostics – Current views and directions
    2016 336 citations Karolina Elżbieta Kaczor‐Urbanowicz, Katri Aro et al. profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Michael Tu United States 16 470 342 287 250 234 41 1.3k
Nicolaos Christodoulides United States 27 864 1.8× 496 1.5× 966 3.4× 63 0.3× 487 2.1× 57 2.4k
John M. Wright United States 32 1.1k 2.3× 352 1.0× 202 0.7× 104 0.4× 362 1.5× 124 3.7k
Glennon W. Simmons United States 15 342 0.7× 187 0.5× 474 1.7× 37 0.1× 205 0.9× 27 1.1k
Mandar Deshpande India 20 659 1.4× 114 0.3× 52 0.2× 116 0.5× 121 0.5× 61 1.7k
Xiangqi Liu China 21 424 0.9× 31 0.1× 109 0.4× 237 0.9× 70 0.3× 70 1.4k
Rasha Abu Eid United Kingdom 18 304 0.6× 37 0.1× 87 0.3× 76 0.3× 97 0.4× 54 1.2k
Kenneth W. Kross Netherlands 17 112 0.2× 63 0.2× 320 1.1× 50 0.2× 40 0.2× 32 914
Shaoxiong Wang China 14 686 1.5× 99 0.3× 130 0.5× 82 0.3× 27 0.1× 37 1.5k
Donald J. D’Amico United States 36 1.1k 2.4× 143 0.4× 142 0.5× 118 0.5× 11 0.0× 156 6.5k
Hyun Jung Lee South Korea 27 571 1.2× 183 0.5× 87 0.3× 171 0.7× 32 0.1× 154 2.6k

Countries citing papers authored by Michael Tu

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Michael Tu

This figure shows the co-authorship network connecting the top 25 collaborators of Michael Tu. A scholar is included among the top collaborators of Michael Tu based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Michael Tu. Michael Tu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Shi, Handuo, Taylor H. Nguyen, Sylvie Estrela, et al.. (2025). Nutrient competition predicts gut microbiome restructuring under drug perturbations. Cell. 188(24). 6971–6986.e14.
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Tu, Michael, et al.. (2022). The Kinetics of COVID-19 Vaccine Response in a Community-Vaccinated Population. The Journal of Immunology. 208(4). 819–826. 11 indexed citations
7.
Tu, Michael, Jordan Cheng, Wei Fang, et al.. (2021). Development and validation of a quantitative, non-invasive, highly sensitive and specific, electrochemical assay for anti-SARS-CoV-2 IgG antibodies in saliva. PLoS ONE. 16(7). e0251342–e0251342. 15 indexed citations
8.
Tu, Michael, Jordan Cheng, Yi-Lin Chen, et al.. (2020). Electric Field–Induced Release and Measurement (EFIRM). Journal of Molecular Diagnostics. 22(8). 1050–1062. 15 indexed citations
9.
Li, Feng, Wei Fang, Wei-Lun Huang, et al.. (2020). Ultra-Short Circulating Tumor DNA (usctDNA) in Plasma and Saliva of Non-Small Cell Lung Cancer (NSCLC) Patients. Cancers. 12(8). 2041–2041. 34 indexed citations
10.
Tu, Michael, et al.. (2019). Rapid PCR-free meat species mitochondrial DNA identification using Electric Field Induced Release and Measurement (EFIRM®). Analytica Chimica Acta. 1099. 68–74. 1 indexed citations
11.
Wang, Zeyu, Feng Li, Joseph Rufo, et al.. (2019). Acoustofluidic Salivary Exosome Isolation. Journal of Molecular Diagnostics. 22(1). 50–59. 127 indexed citations
12.
Xi, Liqiang, Constance M. Cultraro, Fengcai Wei, et al.. (2019). P1.01-27 Serial Circulating Tumor DNA (ctDNA) Analysis of Blood and Saliva Predicts Osimertinib Response and Resistance in EGFR-Mutant NSCLC. Journal of Thoracic Oncology. 14(10). S366–S366. 1 indexed citations
13.
Kaczor‐Urbanowicz, Karolina Elżbieta, Wei Fang, Jinseok Kim, et al.. (2019). Clinical validity of saliva and novel technology for cancer detection. Biochimica et Biophysica Acta (BBA) - Reviews on Cancer. 1872(1). 49–59. 112 indexed citations
14.
Fang, Wei, Charles M. Strom, Jordan Cheng, et al.. (2018). Electric Field–Induced Release and Measurement Liquid Biopsy for Noninvasive Early Lung Cancer Assessment. Journal of Molecular Diagnostics. 20(6). 738–742. 15 indexed citations
15.
Ishikawa, Shigeo, David T. Wong, Masahiro Sugimoto, et al.. (2018). Identification of salivary metabolites for oral squamous cell carcinoma and oral epithelial dysplasia screening from persistent suspicious oral mucosal lesions. Clinical Oral Investigations. 23(9). 3557–3563. 35 indexed citations
16.
Brown, Mason A., Cristian F. Guandique, Jonathan M. Parish, et al.. (2017). Long-term follow-up analysis of microsurgical clip ligation and endovascular coil embolization for dorsal wall blister aneurysms of the internal carotid artery. Journal of Clinical Neuroscience. 39. 72–77. 10 indexed citations
17.
Wang, Chris, et al.. (2017). Electric Field-Induced Disruption and Releasing Viable Content from Extracellular Vesicles. Methods in molecular biology. 1660. 367–376. 8 indexed citations
18.
Ishikawa, Shigeo, Masahiro Sugimoto, Kenichiro Kitabatake, et al.. (2017). Effect of timing of collection of salivary metabolomic biomarkers on oral cancer detection. Amino Acids. 49(4). 761–770. 61 indexed citations
19.
Aro, Katri, Wei Fang, David T. Wong, & Michael Tu. (2017). Saliva Liquid Biopsy for Point-of-Care Applications. Frontiers in Public Health. 5. 77–77. 107 indexed citations
20.
Tu, Michael, et al.. (1970). Ëpideniiological features of intestinal parasitoses in the inhabitants of Okpo Village, Burma.. 3(3). 247–267. 4 indexed citations

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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