Thomas D. Sweitzer

1.2k total citations
15 papers, 910 citations indexed

About

Thomas D. Sweitzer is a scholar working on Molecular Biology, Cell Biology and Immunology. According to data from OpenAlex, Thomas D. Sweitzer has authored 15 papers receiving a total of 910 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Molecular Biology, 2 papers in Cell Biology and 2 papers in Immunology. Recurrent topics in Thomas D. Sweitzer's work include Glycosylation and Glycoproteins Research (3 papers), Genomics, phytochemicals, and oxidative stress (3 papers) and Glutathione Transferases and Polymorphisms (3 papers). Thomas D. Sweitzer is often cited by papers focused on Glycosylation and Glycoproteins Research (3 papers), Genomics, phytochemicals, and oxidative stress (3 papers) and Glutathione Transferases and Polymorphisms (3 papers). Thomas D. Sweitzer collaborates with scholars based in United States, United Kingdom and Austria. Thomas D. Sweitzer's co-authors include C Kent, John A. Hanover, Dona C. Love, Yanzhuang Wang, Paul A. Weinhold, Melpo Christofidou‐Solomidou, Charalambos Solomides, Vladimir R. Muzykantov, Steven Μ. Albelda and Young‐Seo Park and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Nature Biotechnology.

In The Last Decade

Thomas D. Sweitzer

15 papers receiving 898 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 D. Sweitzer United States 12 630 124 96 83 75 15 910
Annika Lindqvist Sweden 18 668 1.1× 115 0.9× 53 0.6× 81 1.0× 32 0.4× 32 1.1k
Hui-Ting Cao United States 10 571 0.9× 117 0.9× 66 0.7× 76 0.9× 90 1.2× 14 766
Paavo K.J. Kinnunen Finland 18 505 0.8× 78 0.6× 204 2.1× 58 0.7× 152 2.0× 26 1.0k
Wenqing Cai China 19 910 1.4× 152 1.2× 90 0.9× 89 1.1× 43 0.6× 47 1.5k
Elizabeth R. Smith United States 17 528 0.8× 102 0.8× 66 0.7× 79 1.0× 58 0.8× 27 819
Eleanor Canova‐Davis United States 21 715 1.1× 64 0.5× 62 0.6× 91 1.1× 26 0.3× 34 1.3k
Henning Gram Hansen Denmark 15 721 1.1× 273 2.2× 56 0.6× 53 0.6× 50 0.7× 19 935
Ray M. Lee United States 19 868 1.4× 124 1.0× 35 0.4× 87 1.0× 35 0.5× 31 1.1k
Remko Kuipers Netherlands 9 842 1.3× 60 0.5× 66 0.7× 60 0.7× 42 0.6× 10 1.2k

Countries citing papers authored by Thomas D. Sweitzer

Since Specialization
Citations

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

Fields of papers citing papers by Thomas D. Sweitzer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Thomas D. Sweitzer

This figure shows the co-authorship network connecting the top 25 collaborators of Thomas D. Sweitzer. A scholar is included among the top collaborators of Thomas D. Sweitzer 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 D. Sweitzer. Thomas D. Sweitzer is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

15 of 15 papers shown
1.
Hofmann, Glenn A., Hongwei Qi, Ming Jiang, et al.. (2018). Development of a High-Throughput Cul3-Keap1 Time-Resolved Fluorescence Resonance Energy Transfer (TR-FRET) Assay for Identifying Nrf2 Activators. SLAS DISCOVERY. 24(2). 175–189. 4 indexed citations
2.
Cleasby, Anne, Jeff Yon, Philip J. Day, et al.. (2014). Structure of the BTB Domain of Keap1 and Its Interaction with the Triterpenoid Antagonist CDDO. PLoS ONE. 9(6). e98896–e98896. 202 indexed citations
3.
Xie, Wensheng, Christina Pao, Quinn Lu, et al.. (2012). Development of a Cell-Based High Throughput Luciferase Enzyme Fragment Complementation Assay to Identify Nuclear-Factor-E2-Related Transcription Factor 2 Activators. Assay and Drug Development Technologies. 10(6). 514–524. 14 indexed citations
4.
Bezerra, G.A., E. Dobrovetsky, Aiping Dong, et al.. (2012). Structures of Human DPP7 Reveal the Molecular Basis of Specific Inhibition and the Architectural Diversity of Proline-Specific Peptidases. PLoS ONE. 7(8). e43019–e43019. 25 indexed citations
5.
Gatto, Gregory J., Fernando Ramón, Thomas D. Sweitzer, et al.. (2010). Development of a High-Throughput Cell-Based Assay for Superoxide Production in HL-60 Cells. SLAS DISCOVERY. 15(4). 388–397. 11 indexed citations
6.
Wang, Da‐Yuan, Quinn Lu, M.J. Scott, et al.. (2008). Development of a High-Throughput Cell-Based Assay for 11β-Hydroxysteroid Dehydrogenase Type 1 Using BacMam Technology. Molecular Biotechnology. 39(2). 127–134. 8 indexed citations
7.
Christofidou‐Solomidou, Melpo, Arnaud Scherpereel, Rainer Wiewrodt, et al.. (2003). PECAM-directed delivery of catalase to endothelium protects against pulmonary vascular oxidative stress. American Journal of Physiology-Lung Cellular and Molecular Physiology. 285(2). L283–L292. 77 indexed citations
8.
Kozower, Benjamin D., Melpo Christofidou‐Solomidou, Thomas D. Sweitzer, et al.. (2003). Immunotargeting of catalase to the pulmonary endothelium alleviates oxidative stress and reduces acute lung transplantation injury. Nature Biotechnology. 21(4). 392–398. 121 indexed citations
9.
Sweitzer, Thomas D., Dona C. Love, & John A. Hanover. (2001). Regulation of nuclear import and export. Current topics in cellular regulation. 36. 77–94. 14 indexed citations
10.
Love, Dona C., Thomas D. Sweitzer, & John A. Hanover. (1998). Reconstitution of HIV-1 Rev nuclear export: Independent requirements for nuclear import and export. Proceedings of the National Academy of Sciences. 95(18). 10608–10613. 90 indexed citations
11.
Sweitzer, Thomas D. & John A. Hanover. (1996). Calmodulin activates nuclear protein import: A link between signal transduction and nuclear transport. Proceedings of the National Academy of Sciences. 93(25). 14574–14579. 73 indexed citations
12.
Sweitzer, Thomas D. & C Kent. (1994). Expression of Wild-Type and Mutant Rat Liver CTP: Phosphocholine Cytidylyltransferase in a Cytidylyltransferase-Deficient Chinese Hamster Ovary Cell Line. Archives of Biochemistry and Biophysics. 311(1). 107–116. 51 indexed citations
13.
Wang, Yanzhuang, Thomas D. Sweitzer, Paul A. Weinhold, & C Kent. (1993). Nuclear localization of soluble CTP:phosphocholine cytidylyltransferase.. Journal of Biological Chemistry. 268(8). 5899–5904. 126 indexed citations
14.
Park, Young‐Seo, Thomas D. Sweitzer, Jack E. Dixon, & C Kent. (1993). Expression, purification, and characterization of CTP:glycerol-3-phosphate cytidylyltransferase from Bacillus subtilis. Journal of Biological Chemistry. 268(22). 16648–16654. 59 indexed citations
15.
Rush, Jeffrey S., Thomas D. Sweitzer, Claudia Kent, Glenn L. Decker, & Charles J. Waechter. (1991). Biogenesis of the endoplasmic reticulum in activated B lymphocytes: Temporal relationships between the induction of protein N-glycosylation activity and the biosynthesis of membrane protein and phospholipid. Archives of Biochemistry and Biophysics. 284(1). 63–70. 35 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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