Michael T. Lee

2.0k total citations
26 papers, 1.4k citations indexed

About

Michael T. Lee is a scholar working on Molecular Biology, Critical Care and Intensive Care Medicine and Strategy and Management. According to data from OpenAlex, Michael T. Lee has authored 26 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 4 papers in Critical Care and Intensive Care Medicine and 4 papers in Strategy and Management. Recurrent topics in Michael T. Lee's work include Anesthesia and Neurotoxicity Research (4 papers), Bioinformatics and Genomic Networks (4 papers) and Intensive Care Unit Cognitive Disorders (4 papers). Michael T. Lee is often cited by papers focused on Anesthesia and Neurotoxicity Research (4 papers), Bioinformatics and Genomic Networks (4 papers) and Intensive Care Unit Cognitive Disorders (4 papers). Michael T. Lee collaborates with scholars based in United States and Taiwan. Michael T. Lee's co-authors include Robyn L. Raschke, Greg Stratmann, Jeffrey W. Sall, Joseph S. Bell, Rehan S. Alvi, Jung-Hsien Chiang, Vinuta Rau, Kavel Visrodia, Kathy R. Magnusson and Rui Liu and has published in prestigious journals such as Proceedings of the National Academy of Sciences, The Journal of Experimental Medicine and SHILAP Revista de lepidopterología.

In The Last Decade

Michael T. Lee

26 papers receiving 1.3k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Michael T. Lee United States 13 503 427 349 260 161 26 1.4k
B. Mak Arvin United Kingdom 22 135 0.3× 50 0.1× 9 0.0× 583 2.2× 90 0.6× 56 2.4k
Patrick J. Lynch United States 15 39 0.1× 13 0.0× 14 0.0× 1.0k 3.9× 53 0.3× 28 2.0k
Qingjie Xia China 21 116 0.2× 11 0.0× 6 0.0× 395 1.5× 332 2.1× 83 1.5k
Minoru Asahi Japan 21 147 0.3× 50 0.1× 3 0.0× 1.2k 4.5× 16 0.1× 35 3.2k
Eric M. Jackson United States 23 20 0.0× 18 0.0× 19 0.1× 444 1.7× 45 0.3× 85 2.3k
Joseph Song United States 16 70 0.1× 30 0.1× 43 0.1× 249 1.0× 58 0.4× 25 825
Chen‐Ju Lin Taiwan 23 9 0.0× 15 0.0× 12 0.0× 603 2.3× 124 0.8× 89 1.8k
James A. Freeman United States 16 57 0.1× 32 0.1× 87 0.2× 29 0.1× 213 1.3× 53 955
Fiona Murray United States 31 41 0.1× 8 0.0× 9 0.0× 1.8k 7.0× 49 0.3× 97 3.7k
Amanda J. Walker United States 16 17 0.0× 7 0.0× 18 0.1× 213 0.8× 161 1.0× 34 1.2k

Countries citing papers authored by Michael T. Lee

Since Specialization
Citations

This map shows the geographic impact of Michael T. Lee'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 T. Lee with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michael T. Lee more than expected).

Fields of papers citing papers by Michael T. Lee

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Michael T. Lee. 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 T. Lee. The network helps show where Michael T. Lee may publish in the future.

Co-authorship network of co-authors of Michael T. Lee

This figure shows the co-authorship network connecting the top 25 collaborators of Michael T. Lee. A scholar is included among the top collaborators of Michael T. Lee 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 T. Lee. Michael T. Lee 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.
Lee, Michael T., et al.. (2022). Culture-negative primary sternal osteomyelitis in a patient with uncontrolled type 2 diabetes mellitus. SHILAP Revista de lepidopterología. 17(9). 3019–3024. 1 indexed citations
2.
Yu, Kun‐Hsing, Michael T. Lee, S. C. Kou, et al.. (2020). Reproducible Machine Learning Methods for Lung Cancer Detection Using Computed Tomography Images: Algorithm Development and Validation. Journal of Medical Internet Research. 22(8). e16709–e16709. 49 indexed citations
3.
Lee, Michael T., et al.. (2020). Synchronous Volvulus of the Transverse Colon and Cecum Associated with Scleroderma and Lupus. SHILAP Revista de lepidopterología. 16(2). 273–277. 2 indexed citations
4.
Yu, Kun‐Hsing, Michael T. Lee, Yu‐Ju Chen, et al.. (2018). Systematic Protein Prioritization for Targeted Proteomics Studies through Literature Mining. Journal of Proteome Research. 17(4). 1383–1396. 16 indexed citations
5.
Yu, Kun‐Hsing, Michael T. Lee, Yu‐Ju Chen, et al.. (2018). A Cloud-Based Metabolite and Chemical Prioritization System for the Biology/Disease-Driven Human Proteome Project. Journal of Proteome Research. 17(12). 4345–4357. 6 indexed citations
6.
Chan, Tze‐Sian, Chung‐Chi Hsu, Wen‐Ying Liao, et al.. (2016). Metronomic chemotherapy prevents therapy-induced stromal activation and induction of tumor-initiating cells. The Journal of Experimental Medicine. 213(13). 2967–2988. 132 indexed citations
7.
Lee, Michael T. & Robyn L. Raschke. (2016). Understanding employee motivation and organizational performance: Arguments for a set-theoretic approach. Journal of Innovation & Knowledge. 1(3). 162–169. 94 indexed citations
8.
Lee, Michael T. & Sally K. Widener. (2015). The Performance Effects of Using Business Intelligence Systems for Exploitation and Exploration Learning. Journal of Information Systems. 30(3). 1–31. 32 indexed citations
9.
Wu, Yi‐Ying, et al.. (2015). Alternatively Spliced Human TREK-1 Variants Alter TREK-1 Channel Function and Localization1. Biology of Reproduction. 93(5). 122–122. 7 indexed citations
10.
Lee, Michael T. & K. Dow Scott. (2015). Leveraging IT resources, embeddedness, and dependence: A supplier's perspective on appropriating benefits with powerful buyers. Information & Management. 52(8). 909–924. 10 indexed citations
11.
Lee, Michael T. & Sally K. Widener. (2013). Culture and Management Control Systems in Today’s High-Performing Firms. Scholar Works (Boise State University). 14(2). 11. 9 indexed citations
12.
Li, Chi–Rong, Michael T. Lee, Chi-Kuan Chen, et al.. (2012). Molecular Profiling of Prostatic Acinar Morphogenesis Identifies PDCD4 and KLF6 as Tissue Architecture–Specific Prognostic Markers in Prostate Cancer. American Journal Of Pathology. 182(2). 363–374. 9 indexed citations
13.
Lee, Michael T. & Jung-Hsien Chiang. (2012). A Systems Biology Approach to Solving the Puzzle of Unknown Genomic Gene-Function Association Using Grid-Ready SVM Committee Machines. IEEE Computational Intelligence Magazine. 7(4). 46–54. 1 indexed citations
14.
Stratmann, Greg, Jeffrey W. Sall, Joseph S. Bell, et al.. (2010). Isoflurane Does Not Affect Brain Cell Death, Hippocampal Neurogenesis, or Long-term Neurocognitive Outcome in Aged Rats. Anesthesiology. 112(2). 305–315. 65 indexed citations
15.
Stratmann, Greg, et al.. (2010). Beyond Anesthetic Properties: The Effects of Isoflurane on Brain Cell Death, Neurogenesis, and Long-Term Neurocognitive Function. Anesthesia & Analgesia. 110(2). 431–437. 64 indexed citations
16.
Stratmann, Greg, Jeffrey W. Sall, Joseph S. Bell, et al.. (2009). Isoflurane Differentially Affects Neurogenesis and Long-term Neurocognitive Function in 60-day-old and 7-day-old Rats. Anesthesiology. 110(4). 834–848. 286 indexed citations
17.
Stratmann, Greg, Jeffrey W. Sall, Rehan S. Alvi, et al.. (2009). Effect of Hypercarbia and Isoflurane on Brain Cell Death and Neurocognitive Dysfunction in 7-day-old Rats. Anesthesiology. 110(4). 849–861. 123 indexed citations
18.
Chiang, Jung-Hsien & Michael T. Lee. (2008). In Silico Prediction of Human Protein Interactions Using Fuzzy–SVM Mixture Models and Its Application to Cancer Research. IEEE Transactions on Fuzzy Systems. 16(4). 1087–1095. 9 indexed citations
19.
Lee, Michael T., et al.. (1990). A New Feature for Control of Inappropriate High Rate Tracking in DDDR Pacemakers. Pacing and Clinical Electrophysiology. 13(12). 1852–1855. 20 indexed citations
20.
Lee, Michael T. & Ross Baker. (1990). Circadian Rate Variation in Rate‐Adaptive Pacing Systems. Pacing and Clinical Electrophysiology. 13(12). 1797–1801. 9 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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