Michael M. Lee

17.5k total citations · 6 hit papers
25 papers, 15.6k citations indexed

About

Michael M. Lee is a scholar working on Electrical and Electronic Engineering, Materials Chemistry and Molecular Biology. According to data from OpenAlex, Michael M. Lee has authored 25 papers receiving a total of 15.6k indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Electrical and Electronic Engineering, 6 papers in Materials Chemistry and 3 papers in Molecular Biology. Recurrent topics in Michael M. Lee's work include Perovskite Materials and Applications (7 papers), Chalcogenide Semiconductor Thin Films (5 papers) and Quantum Dots Synthesis And Properties (4 papers). Michael M. Lee is often cited by papers focused on Perovskite Materials and Applications (7 papers), Chalcogenide Semiconductor Thin Films (5 papers) and Quantum Dots Synthesis And Properties (4 papers). Michael M. Lee collaborates with scholars based in United Kingdom, United States and Italy. Michael M. Lee's co-authors include Henry J. Snaith, Tsutomu Miyasaka, Joël Teuscher, Takurou N. Murakami, James M. Ball, Tomas Leijtens, Giles E. Eperon, Annamaria Petrozza, Antonio Abate and Sandeep Pathak and has published in prestigious journals such as Science, Nature Communications and Nano Letters.

In The Last Decade

Michael M. Lee

22 papers receiving 15.3k citations

Hit Papers

Efficient Hybrid Solar Cells Based on Meso-Superstructure... 2010 2026 2015 2020 2012 2013 2014 2013 2013 2.5k 5.0k 7.5k

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Michael M. Lee United Kingdom 12 14.6k 10.4k 5.8k 1.1k 879 25 15.6k
Norman Pellet Switzerland 26 16.2k 1.1× 11.4k 1.1× 6.9k 1.2× 1.5k 1.4× 780 0.9× 31 17.4k
Jin Hyuck Heo South Korea 44 16.9k 1.2× 11.4k 1.1× 7.0k 1.2× 767 0.7× 688 0.8× 127 17.6k
Pablo Docampo United Kingdom 50 17.5k 1.2× 12.9k 1.2× 6.2k 1.1× 1.6k 1.4× 858 1.0× 106 18.7k
Mengjin Yang United States 55 12.8k 0.9× 9.3k 0.9× 4.9k 0.8× 748 0.7× 713 0.8× 109 13.7k
Zhao‐Kui Wang China 65 14.3k 1.0× 8.6k 0.8× 6.8k 1.2× 794 0.7× 674 0.8× 275 15.0k
Seungchan Ryu South Korea 7 17.9k 1.2× 12.0k 1.1× 7.9k 1.4× 688 0.6× 743 0.8× 8 18.3k
Akihiro Kojima Japan 4 19.3k 1.3× 12.9k 1.2× 8.2k 1.4× 910 0.8× 1.1k 1.2× 8 19.8k
James M. Ball United Kingdom 37 14.3k 1.0× 9.9k 1.0× 5.4k 0.9× 612 0.6× 650 0.7× 55 14.9k
Huanping Zhou United States 42 18.4k 1.3× 12.4k 1.2× 8.3k 1.4× 834 0.8× 759 0.9× 60 19.4k
Woon Seok Yang South Korea 18 25.4k 1.7× 17.2k 1.6× 11.2k 1.9× 1.0k 1.0× 1.0k 1.2× 20 26.0k

Countries citing papers authored by Michael M. Lee

Since Specialization
Citations

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

Fields of papers citing papers by Michael M. Lee

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

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

This figure shows the co-authorship network connecting the top 25 collaborators of Michael M. Lee. A scholar is included among the top collaborators of Michael M. 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 M. Lee. Michael M. 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 M., et al.. (2025). Forces and moments on a maxillary lateral incisor using 3D-printed aligners with pressure points: an in vitro study. European Journal of Orthodontics. 47(4). 1 indexed citations
2.
Lee, Michael M., et al.. (2023). Forces and moments generated during extrusion of a maxillary central incisor with clear aligners: an in vitro study. BMC Oral Health. 23(1). 495–495. 21 indexed citations
3.
Lee, Michael M.. (2021). The robot explorers. Science Robotics. 6(55). 3 indexed citations
4.
Alderton, Gemma, Ifor R. Williams, Leslie K. Ferrarelli, et al.. (2020). This Week in Science. Science. 368(6488). 278–280. 3 indexed citations
5.
Vinson, Valda, Ifor R. Williams, Sacha Vignieri, et al.. (2020). This Week in Science. Science. 370(6520). 1053–1055. 2 indexed citations
6.
Baylis, James R., Michael M. Lee, Alexander E. St. John, et al.. (2019). Topical tranexamic acid inhibits fibrinolysis more effectively when formulated with self‐propelling particles. Journal of Thrombosis and Haemostasis. 17(10). 1645–1654. 12 indexed citations
7.
Elmageed, Zakaria Y. Abd, Robert F. Moore, Koji Tsumagari, et al.. (2018). Prognostic Role of BRAFV600E Cellular Localization in Melanoma. Journal of the American College of Surgeons. 226(4). 526–537. 20 indexed citations
8.
Chen, Jikun, Xuchun Gui, Zhiqiang Lin, et al.. (2015). Pulsed ultra-violet laser interactions with ultra-low-density porous carbon nanotube sponges. Carbon. 93. 604–610. 8 indexed citations
9.
D’Innocenzo, Valerio, Giulia Grancini, Marcelo J. P. Alcocer, et al.. (2014). Excitons versus free charges in organo-lead tri-halide perovskites. Nature Communications. 5(1). 3586–3586. 1505 indexed citations breakdown →
10.
Cheng, Cheng, Michael M. Lee, Nakita K. Noel, et al.. (2014). Polystyrene Templated Porous Titania Wells for Quantum Dot Heterojunction Solar Cells. ACS Applied Materials & Interfaces. 6(16). 14247–14252. 9 indexed citations
11.
Leijtens, Tomas, Giles E. Eperon, Sandeep Pathak, et al.. (2013). Overcoming ultraviolet light instability of sensitized TiO2 with meso-superstructured organometal tri-halide perovskite solar cells. Nature Communications. 4(1). 2885–2885. 1627 indexed citations breakdown →
12.
Lee, Michael M., Pablo Docampo, Samuel D. Stranks, et al.. (2013). Optimizing the Energy Offset between Dye and Hole-Transporting Material in Solid-State Dye-Sensitized Solar Cells. The Journal of Physical Chemistry C. 117(39). 19850–19858. 20 indexed citations
13.
Ball, James M., et al.. (2013). Low-temperature processed meso-superstructured to thin-film perovskite solar cells. Energy & Environmental Science. 6(6). 1739–1739. 1474 indexed citations breakdown →
14.
Lee, Michael M., Joël Teuscher, Tsutomu Miyasaka, Takurou N. Murakami, & Henry J. Snaith. (2012). Efficient Hybrid Solar Cells Based on Meso-Superstructured Organometal Halide Perovskites. Science. 338(6107). 643–647. 9346 indexed citations breakdown →
15.
Brown, Michael D., Teeraporn Suteewong, Sai Santosh Kumar Raavi, et al.. (2010). Plasmonic Dye-Sensitized Solar Cells Using Core−Shell Metal−Insulator Nanoparticles. Nano Letters. 11(2). 438–445. 514 indexed citations breakdown →
16.
Lee, Michael M., John Kim, Dennis Abts, Michael R. Marty, & Jae Wook Lee. (2010). Probabilistic Distance-Based Arbitration: Providing Equality of Service for Many-Core CMPs. 509–519. 36 indexed citations
17.
Mellor, Stephen J., et al.. (1994). Shlaer-Mellor method. 165–176. 1 indexed citations
18.
Lee, Michael M.. (1993). Object-oriented analysis in large-scale projects. 3(4). 45–49. 2 indexed citations
19.
Lee, Michael M., et al.. (1993). Object-Oriented Analysis in the Real World.. 127–149.
20.
Lee, Michael M.. (1987). Droplet Motion and Deposition in Vertical Turbulent Pipe Flow. 1 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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