Tom V. Lee

1.7k total citations
20 papers, 691 citations indexed

About

Tom V. Lee is a scholar working on Molecular Biology, Cell Biology and Immunology. According to data from OpenAlex, Tom V. Lee has authored 20 papers receiving a total of 691 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Molecular Biology, 6 papers in Cell Biology and 6 papers in Immunology. Recurrent topics in Tom V. Lee's work include Developmental Biology and Gene Regulation (7 papers), Invertebrate Immune Response Mechanisms (4 papers) and Cell death mechanisms and regulation (4 papers). Tom V. Lee is often cited by papers focused on Developmental Biology and Gene Regulation (7 papers), Invertebrate Immune Response Mechanisms (4 papers) and Cell death mechanisms and regulation (4 papers). Tom V. Lee collaborates with scholars based in United States, United Kingdom and Germany. Tom V. Lee's co-authors include Andreas Bergmann, Hamed Jafar‐Nejad, David Sprinzak, Lauren LeBon, Yun Fan, Michael B. Elowitz, Clare Bolduc, Sarah E. Woodfield, Christian Antonio and Dongbin Xu and has published in prestigious journals such as Molecular Cell, Development and Methods in enzymology on CD-ROM/Methods in enzymology.

In The Last Decade

Tom V. Lee

20 papers receiving 690 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Tom V. Lee United States 12 540 166 149 86 74 20 691
Clare Bolduc United States 12 501 0.9× 196 1.2× 106 0.7× 59 0.7× 53 0.7× 14 674
Wan Hee Yoon United States 13 420 0.8× 196 1.2× 130 0.9× 53 0.6× 132 1.8× 18 733
Yixing Zhou United States 13 359 0.7× 90 0.5× 83 0.6× 83 1.0× 23 0.3× 22 655
Shiuan Wang United States 6 244 0.5× 137 0.8× 144 1.0× 60 0.7× 98 1.3× 6 453
Deepika Vasudevan United States 12 372 0.7× 162 1.0× 134 0.9× 62 0.7× 16 0.2× 21 557
Cristina Claverı́a Spain 11 592 1.1× 316 1.9× 114 0.8× 68 0.8× 83 1.1× 11 835
Golnar Kolahgar United Kingdom 8 319 0.6× 296 1.8× 135 0.9× 24 0.3× 48 0.6× 10 585
Ilse G.L. Pauli Belgium 11 440 0.8× 248 1.5× 108 0.7× 39 0.5× 85 1.1× 11 718
Andrés Dekanty Argentina 14 388 0.7× 179 1.1× 105 0.7× 43 0.5× 58 0.8× 24 671
Masaki Shigeta Japan 9 515 1.0× 120 0.7× 148 1.0× 27 0.3× 45 0.6× 14 673

Countries citing papers authored by Tom V. Lee

Since Specialization
Citations

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

Fields of papers citing papers by Tom V. Lee

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tom V. Lee

This figure shows the co-authorship network connecting the top 25 collaborators of Tom V. Lee. A scholar is included among the top collaborators of Tom V. 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 Tom V. Lee. Tom V. 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.
Ye, Hui, Carl Grant Mangleburg, Timothy Wu, et al.. (2023). Functional screening of lysosomal storage disorder genes identifies modifiers of alpha-synuclein neurotoxicity. PLoS Genetics. 19(5). e1010760–e1010760. 7 indexed citations
2.
Amcheslavsky, Alla, Elizabeth Brown, Tom V. Lee, et al.. (2022). Toll-9 interacts with Toll-1 to mediate a feedback loop during apoptosis-induced proliferation in Drosophila. Cell Reports. 39(7). 110817–110817. 14 indexed citations
3.
Lee, Tom V., Νικόλαος Γιαγτζόγλου, Lei Yu, et al.. (2019). cindr, the Drosophila Homolog of the CD2AP Alzheimer’s Disease Risk Gene, Is Required for Synaptic Transmission and Proteostasis. Cell Reports. 28(7). 1799–1813.e5. 28 indexed citations
4.
Al‐Ouran, Rami, Ying‐Wooi Wan, Carl Grant Mangleburg, et al.. (2019). A Portal to Visualize Transcriptome Profiles in Mouse Models of Neurological Disorders. Genes. 10(10). 759–759. 6 indexed citations
5.
Pandey, Ashutosh, David Li‐Kroeger, Maya K. Sethi, et al.. (2018). Sensitized genetic backgrounds reveal differential roles for EGF repeat xylosyltransferases in Drosophila Notch signaling. Glycobiology. 28(11). 849–859. 11 indexed citations
6.
Lee, Tom V., Ashutosh Pandey, & Hamed Jafar‐Nejad. (2017). Xylosylation of the Notch receptor preserves the balance between its activation by trans-Delta and inhibition by cis-ligands in Drosophila. PLoS Genetics. 13(4). e1006723–e1006723. 23 indexed citations
7.
Lee, Tom V., et al.. (2017). [O2–18–04]: THE ALZHEIMER's DISEASE SUSCEPTIBILITY GENE CD2AP REGULATES PRESYNAPTIC FUNCTION. Alzheimer s & Dementia. 13(7S_Part_12). 1 indexed citations
8.
Haltom, Amanda R., Tom V. Lee, Jessica Leonardi, et al.. (2014). The Protein O-glucosyltransferase Rumi Modifies Eyes Shut to Promote Rhabdomere Separation in Drosophila. PLoS Genetics. 10(11). e1004795–e1004795. 30 indexed citations
9.
LeBon, Lauren, Tom V. Lee, David Sprinzak, Hamed Jafar‐Nejad, & Michael B. Elowitz. (2014). Correction: Fringe proteins modulate Notch-ligand cis and trans interactions to specify signaling states. eLife. 3. 2 indexed citations
10.
LeBon, Lauren, Tom V. Lee, David Sprinzak, Hamed Jafar‐Nejad, & Michael B. Elowitz. (2014). Fringe proteins modulate Notch-ligand cis and trans interactions to specify signaling states. eLife. 3. e02950–e02950. 110 indexed citations
11.
Lee, Tom V., Maya K. Sethi, Jessica Leonardi, et al.. (2013). Negative Regulation of Notch Signaling by Xylose. PLoS Genetics. 9(6). e1003547–e1003547. 78 indexed citations
12.
Lee, Tom V., Yun Fan, Shiuan Wang, et al.. (2011). Drosophila IAP1-Mediated Ubiquitylation Controls Activation of the Initiator Caspase DRONC Independent of Protein Degradation. PLoS Genetics. 7(9). e1002261–e1002261. 40 indexed citations
13.
Lee, Tom V., Hideyuki Takeuchi, & Hamed Jafar‐Nejad. (2010). Regulation of Notch Signaling Via O-Glucosylation. Methods in enzymology on CD-ROM/Methods in enzymology. 480. 375–398. 8 indexed citations
14.
Xu, Dongbin, Sarah E. Woodfield, Tom V. Lee, et al.. (2009). Genetic control of programmed cell death (apoptosis) in Drosophila. Fly. 3(1). 78–90. 96 indexed citations
15.
Ditzel, Mark, Meike Broemer, Tencho Tenev, et al.. (2008). Inactivation of Effector Caspases through Nondegradative Polyubiquitylation. Molecular Cell. 32(4). 540–553. 91 indexed citations
16.
Lee, Tom V., Tian Ding, Zhihong Chen, et al.. (2007). The E1 ubiquitin-activating enzyme Uba1 inDrosophilacontrols apoptosis autonomously and tissue growth non-autonomously. Development. 135(1). 43–52. 55 indexed citations
17.
18.
Lee, Tom V., et al.. (2005). Genetic control of programmed cell death in Drosophila melanogaster. Seminars in Cell and Developmental Biology. 16(2). 225–235. 53 indexed citations
19.
Lee, Tom V., et al.. (2002). Helper peptide G89 (HER-2:777-789) and G89-activated cells regulate the survival of effectors induced by the CTL epitope E75 (HER-2, 369-377). Correlation with the IFN-gamma: IL-10 balance.. PubMed. 22(3). 1481–90. 5 indexed citations
20.
Lee, Tom V., Dong‐Kyu Kim, George E. Peoples, et al.. (2000). Secretion of CXC Chemokine IP-10 by Peripheral Blood Mononuclear Cells from Healthy Donors and Breast Cancer Patients Stimulated with HER-2 Peptides. Journal of Interferon & Cytokine Research. 20(4). 391–401. 10 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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