Thomas Lee

3.5k total citations
50 papers, 2.6k citations indexed

About

Thomas Lee is a scholar working on Molecular Biology, Cell Biology and Materials Chemistry. According to data from OpenAlex, Thomas Lee has authored 50 papers receiving a total of 2.6k indexed citations (citations by other indexed papers that have themselves been cited), including 36 papers in Molecular Biology, 10 papers in Cell Biology and 8 papers in Materials Chemistry. Recurrent topics in Thomas Lee's work include Protein Kinase Regulation and GTPase Signaling (8 papers), Protein Structure and Dynamics (7 papers) and Enzyme Structure and Function (7 papers). Thomas Lee is often cited by papers focused on Protein Kinase Regulation and GTPase Signaling (8 papers), Protein Structure and Dynamics (7 papers) and Enzyme Structure and Function (7 papers). Thomas Lee collaborates with scholars based in United States, Australia and United Kingdom. Thomas Lee's co-authors include Natalie G. Ahn, Katheryn A. Resing, Sudeepta Aggarwal, Sudhir Gupta, Andrew N. Hoofnagle, Judith P. Klinman, Zhao‐Xun Liang, Stéphane Houel, William M. Old and Xiaoshan Min and has published in prestigious journals such as Science, Proceedings of the National Academy of Sciences and Journal of Biological Chemistry.

In The Last Decade

Thomas Lee

49 papers receiving 2.6k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Thomas Lee United States 29 1.7k 312 291 203 197 50 2.6k
Mattia Falconi Italy 29 2.1k 1.2× 206 0.7× 439 1.5× 321 1.6× 211 1.1× 138 3.4k
Christopher M. Colangelo United States 24 1.9k 1.1× 253 0.8× 197 0.7× 174 0.9× 70 0.4× 49 3.2k
David B. Friedman United States 36 2.3k 1.4× 330 1.1× 376 1.3× 338 1.7× 89 0.5× 68 4.1k
Gemma Fabriàs Spain 42 2.9k 1.7× 561 1.8× 308 1.1× 188 0.9× 108 0.5× 159 4.7k
Jörg Reinders Germany 27 2.2k 1.3× 251 0.8× 178 0.6× 161 0.8× 66 0.3× 74 3.2k
Tomohiro Nishizawa Japan 35 2.6k 1.5× 236 0.8× 209 0.7× 238 1.2× 186 0.9× 108 4.0k
Takahisa Ikegami Japan 31 2.4k 1.4× 239 0.8× 221 0.8× 143 0.7× 312 1.6× 105 3.2k
Costel C. Darie United States 33 1.9k 1.1× 274 0.9× 439 1.5× 232 1.1× 127 0.6× 139 3.2k
Federico Forneris Italy 29 2.5k 1.5× 212 0.7× 378 1.3× 174 0.9× 142 0.7× 73 3.5k
Ute Distler Germany 25 2.0k 1.2× 161 0.5× 129 0.4× 166 0.8× 95 0.5× 66 3.1k

Countries citing papers authored by Thomas Lee

Since Specialization
Citations

This map shows the geographic impact of Thomas 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 Thomas Lee with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Thomas Lee more than expected).

Fields of papers citing papers by Thomas Lee

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Thomas Lee

This figure shows the co-authorship network connecting the top 25 collaborators of Thomas Lee. A scholar is included among the top collaborators of Thomas 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 Thomas Lee. Thomas 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.
2.
Gelinas, Amy D., Tiong Kit Tan, Sai Liu, et al.. (2023). Broadly neutralizing aptamers to SARS-CoV-2: A diverse panel of modified DNA antiviral agents. Molecular Therapy — Nucleic Acids. 31. 370–382. 12 indexed citations
3.
Klein, Brianna J., Jordan T. Feigerle, Jibo Zhang, et al.. (2022). Taf2 mediates DNA binding of Taf14. Nature Communications. 13(1). 3177–3177. 8 indexed citations
4.
Lee, Thomas, et al.. (2020). C-Terminal Tail Polyglycylation and Polyglutamylation Alter Microtubule Mechanical Properties. Biophysical Journal. 119(11). 2219–2230. 10 indexed citations
5.
Lee, Thomas, et al.. (2020). Proximity-based proteomics reveals the thylakoid lumen proteome in the cyanobacterium Synechococcus sp. PCC 7002. Photosynthesis Research. 147(2). 177–195. 9 indexed citations
6.
Lee, Thomas, et al.. (2020). C-Terminal Tail Polyglycylation and Polyglutamylation Alter Microtubule Mechanical Properties. Biophysical Journal. 118(3). 597a–597a. 1 indexed citations
7.
Wang, Xueyin, Yicheng Long, Richard D. Paucek, et al.. (2019). Regulation of histone methylation by automethylation of PRC2. Genes & Development. 33(19-20). 1416–1427. 56 indexed citations
8.
Akella, Sruti S., Thomas Lee, & Anne Barmettler. (2018). Lichenoid Dermatitis Development After Excision of Basal Cell Carcinoma. Ophthalmic Plastic and Reconstructive Surgery. 35(2). e34–e36. 1 indexed citations
9.
Lee, John K., Thomas Lee, Jayakanth Kankanala, et al.. (2018). The substrate-binding cap of the UDP-diacylglucosamine pyrophosphatase LpxH is highly flexible, enabling facile substrate binding and product release. Journal of Biological Chemistry. 293(21). 7969–7981. 18 indexed citations
10.
Shevchenko, Ivan, Marissa A. Scavuzzo, Thomas Lee, et al.. (2017). Cutting Edge: Low-Affinity TCRs Support Regulatory T Cell Function in Autoimmunity. The Journal of Immunology. 200(3). 909–914. 33 indexed citations
11.
Bettini, Matthew L., et al.. (2017). Cutting Edge: CD3 ITAM Diversity Is Required for Optimal TCR Signaling and Thymocyte Development. The Journal of Immunology. 199(5). 1555–1560. 35 indexed citations
12.
Mattiroli, Francesca, Sudipta Bhattacharyya, Pamela N. Dyer, et al.. (2017). Structure of histone-based chromatin in Archaea. Science. 357(6351). 609–612. 125 indexed citations
13.
Lee, Thomas, et al.. (2017). Specificity of Phosphorylation Responses to Mitogen Activated Protein (MAP) Kinase Pathway Inhibitors in Melanoma Cells. Molecular & Cellular Proteomics. 17(4). 550–564. 29 indexed citations
14.
Lee, Thomas, Thomas Clavel, Kirill S. Smirnov, et al.. (2016). Oral versus intravenous iron replacement therapy distinctly alters the gut microbiota and metabolome in patients with IBD. Gut. 66(5). 863–871. 244 indexed citations
15.
Schriner, Samuel E., et al.. (2013). Extension of Drosophila Lifespan by Rhodiola rosea through a Mechanism Independent from Dietary Restriction. PLoS ONE. 8(5). e63886–e63886. 44 indexed citations
16.
Wang, Dongmei, Thomas Lee, Stéphane Houel, et al.. (2012). Quantitative functions of Argonaute proteins in mammalian development. Genes & Development. 26(7). 693–704. 141 indexed citations
17.
Lee, Thomas, et al.. (2010). Distinct patterns of activation-dependent changes in conformational mobility between ERK1 and ERK2. International Journal of Mass Spectrometry. 302(1-3). 101–109. 19 indexed citations
18.
Liang, Zhao‐Xun, Thomas Lee, Katheryn A. Resing, Natalie G. Ahn, & Judith P. Klinman. (2004). Thermal-activated protein mobility and its correlation with catalysis in thermophilic alcohol dehydrogenase. Proceedings of the National Academy of Sciences. 101(26). 9556–9561. 118 indexed citations
19.
Lee, Thomas, Andrew N. Hoofnagle, Yukihito Kabuyama, et al.. (2004). Docking Motif Interactions in MAP Kinases Revealed by Hydrogen Exchange Mass Spectrometry. Molecular Cell. 14(1). 43–55. 240 indexed citations
20.
Hoofnagle, Andrew N., et al.. (2004). Phosphorylation-Dependent Changes in Structure and Dynamics in ERK2 Detected by SDSL and EPR. Biophysical Journal. 86(1). 395–403. 21 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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