Michael A. Lee

4.4k total citations
76 papers, 3.1k citations indexed

About

Michael A. Lee is a scholar working on Cardiology and Cardiovascular Medicine, Molecular Biology and Public Health, Environmental and Occupational Health. According to data from OpenAlex, Michael A. Lee has authored 76 papers receiving a total of 3.1k indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Cardiology and Cardiovascular Medicine, 16 papers in Molecular Biology and 12 papers in Public Health, Environmental and Occupational Health. Recurrent topics in Michael A. Lee's work include Cardiac Arrhythmias and Treatments (19 papers), Cardiac pacing and defibrillation studies (15 papers) and Reproductive Biology and Fertility (10 papers). Michael A. Lee is often cited by papers focused on Cardiac Arrhythmias and Treatments (19 papers), Cardiac pacing and defibrillation studies (15 papers) and Reproductive Biology and Fertility (10 papers). Michael A. Lee collaborates with scholars based in United States, Australia and United Kingdom. Michael A. Lee's co-authors include Bayard T. Storey, Jerry C. Griffin, Gregory S. Kopf, Jonathan J. Langberg, Hideyuki Takagi, Yoshihiro Endo, Melvin M. Scheinman, Michael S. Strano, Walter W. Chien and Todd J. Cohen and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of the American Chemical Society and JAMA.

In The Last Decade

Michael A. Lee

74 papers receiving 3.0k 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 A. Lee United States 29 1.2k 719 670 420 317 76 3.1k
Kenji Miyata Japan 32 440 0.4× 64 0.1× 184 0.3× 1.3k 3.0× 184 0.6× 173 3.6k
M. Miyake Japan 26 89 0.1× 279 0.4× 470 0.7× 334 0.8× 96 0.3× 130 1.9k
Yoshihiro Tanaka Japan 24 239 0.2× 113 0.2× 116 0.2× 648 1.5× 152 0.5× 133 2.5k
Jun Ding China 40 165 0.1× 92 0.1× 317 0.5× 2.6k 6.2× 975 3.1× 191 4.9k
Fang Fang China 33 57 0.0× 429 0.6× 383 0.6× 2.3k 5.4× 270 0.9× 197 4.1k
Weiguo Li China 34 154 0.1× 71 0.1× 97 0.1× 1.1k 2.6× 486 1.5× 188 3.8k
Tailang Yin China 34 54 0.0× 1.0k 1.4× 999 1.5× 920 2.2× 241 0.8× 150 3.4k
Giuseppe Maulucci Italy 35 72 0.1× 92 0.1× 200 0.3× 1.4k 3.2× 499 1.6× 125 3.3k
Kun Zhao China 29 554 0.5× 61 0.1× 62 0.1× 3.1k 7.3× 167 0.5× 86 4.8k
Takashi Ishikawa Japan 32 348 0.3× 24 0.0× 87 0.1× 1.0k 2.4× 332 1.0× 250 3.8k

Countries citing papers authored by Michael A. Lee

Since Specialization
Citations

This map shows the geographic impact of Michael A. 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 A. 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 A. Lee more than expected).

Fields of papers citing papers by Michael A. Lee

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

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

This figure shows the co-authorship network connecting the top 25 collaborators of Michael A. Lee. A scholar is included among the top collaborators of Michael A. 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 A. Lee. Michael A. 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.
Brown, Joseph S., et al.. (2025). pyBinder: Quantitation to Advance Affinity Selection-Mass Spectrometry. Analytical Chemistry. 97(7). 3855–3863. 1 indexed citations
2.
Lee, Michael A., Joseph S. Brown, Andrei Loas, & Bradley L. Pentelute. (2024). Investigation of commercially available resins for the automated flow synthesis of difficult or long peptide sequences. Peptide Science. 116(3). 4 indexed citations
3.
Jin, Xiaojia, Michael A. Lee, Xun Gong, et al.. (2023). Corona Phase Molecular Recognition of the Interleukin-6 (IL-6) Family of Cytokines Using nIR Fluorescent Single-Walled Carbon Nanotubes. ACS Applied Nano Materials. 6(11). 9791–9804. 20 indexed citations
4.
5.
Koman, Volodymyr B., N.A. Bakh, Xiaojia Jin, et al.. (2022). A wavelength-induced frequency filtering method for fluorescent nanosensors in vivo. Nature Nanotechnology. 17(6). 643–652. 41 indexed citations
6.
Bakh, N.A., Xun Gong, Michael A. Lee, et al.. (2021). Transcutaneous Measurement of Essential Vitamins Using Near‐Infrared Fluorescent Single‐Walled Carbon Nanotube Sensors. Small. 17(31). e2100540–e2100540. 16 indexed citations
7.
Dong, Juyao, Michael A. Lee, Ananth Govind Rajan, et al.. (2020). A synthetic mimic of phosphodiesterase type 5 based on corona phase molecular recognition of single-walled carbon nanotubes. Proceedings of the National Academy of Sciences. 117(43). 26616–26625. 17 indexed citations
8.
Bisignano, Paola, et al.. (2020). A kinetic mechanism for enhanced selectivity of membrane transport. PLoS Computational Biology. 16(7). e1007789–e1007789. 14 indexed citations
9.
Lee, Michael A., Song Wang, Xiaojia Jin, et al.. (2020). Implantable Nanosensors for Human Steroid Hormone Sensing In Vivo Using a Self‐Templating Corona Phase Molecular Recognition. Advanced Healthcare Materials. 9(21). e2000429–e2000429. 62 indexed citations
10.
Kozawa, Daichi, Soo‐Yeon Cho, Xun Gong, et al.. (2020). A Fiber Optic Interface Coupled to Nanosensors: Applications to Protein Aggregation and Organic Molecule Quantification. ACS Nano. 14(8). 10141–10152. 30 indexed citations
11.
Lew, Tedrick Thomas Salim, Volodymyr B. Koman, Kevin S. Silmore, et al.. (2020). Real-time detection of wound-induced H2O2 signalling waves in plants with optical nanosensors. Nature Plants. 6(4). 404–415. 205 indexed citations
12.
Lee, Michael A., Carlos M. Duarte, Vı́ctor M. Eguı́luz, et al.. (2019). Can Fish and Cell Phones Teach Us about Our Health?. ACS Sensors. 4(10). 2566–2570. 3 indexed citations
13.
Bisker, Gili, N.A. Bakh, Michael A. Lee, et al.. (2018). Insulin Detection Using a Corona Phase Molecular Recognition Site on Single-Walled Carbon Nanotubes. ACS Sensors. 3(2). 367–377. 80 indexed citations
14.
Lee, Michael A., Freddy T. Nguyen, N.A. Bakh, et al.. (2018). Implanted Nanosensors in Marine Organisms for Physiological Biologging: Design, Feasibility, and Species Variability. ACS Sensors. 4(1). 32–43. 39 indexed citations
15.
Lee, Michael A., et al.. (1999). Spontaneous CSF rhinorrhoea secondary to a middle cranial fossa defect. Journal of Clinical Neuroscience. 6(5). 411–412. 2 indexed citations
16.
Lee, Michael A. & Hideyuki Takagi. (1993). Dynamic Control of Genetic Algorithms Using Fuzzy Logic Techniques. international conference on Genetic algorithms. 76–83. 166 indexed citations
17.
Lee, Michael A., et al.. (1993). Integrating Design Stage of Fuzzy System using Genetic Algorithms. Kyushu University Institutional Repository (QIR) (Kyushu University). 1. 612–617. 3 indexed citations
18.
Lee, Michael A. & David Wessel. (1993). Real-Time Neuro-Fuzzy Systems for Adaptive Control of Musical Processes. The Journal of the Abraham Lincoln Association. 1993. 2 indexed citations
19.
Lee, Michael A. & David Wessel. (1992). Connectionist Models for Real-Time Control of Synthesis and COmpositional Algorithms. The Journal of the Abraham Lincoln Association. 1992. 19 indexed citations
20.
Lee, Michael A., Adrian Freed, & David Wessel. (1991). Real-Time Neural Network Processing of Gestural and Acoustic Signals. The Journal of the Abraham Lincoln Association. 1991. 17 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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