Darren J. Lee

940 total citations
28 papers, 701 citations indexed

About

Darren J. Lee is a scholar working on Ophthalmology, Molecular Biology and Rheumatology. According to data from OpenAlex, Darren J. Lee has authored 28 papers receiving a total of 701 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Ophthalmology, 7 papers in Molecular Biology and 7 papers in Rheumatology. Recurrent topics in Darren J. Lee's work include Ocular Diseases and Behçet’s Syndrome (13 papers), RNA Research and Splicing (7 papers) and Systemic Lupus Erythematosus Research (6 papers). Darren J. Lee is often cited by papers focused on Ocular Diseases and Behçet’s Syndrome (13 papers), RNA Research and Splicing (7 papers) and Systemic Lupus Erythematosus Research (6 papers). Darren J. Lee collaborates with scholars based in United States and Denmark. Darren J. Lee's co-authors include Andrew W. Taylor, Victoria J. Vieira‐Potter, Dimitrios Karamichos, Clyde L. Denis, Gang Yao, Chongxu Zhang, Takbum Ohn, C. Stephen Foster, Y. C. Chiang and Thomas M. Laue and has published in prestigious journals such as Nucleic Acids Research, SHILAP Revista de lepidopterología and The Journal of Immunology.

In The Last Decade

Darren J. Lee

27 papers receiving 694 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Darren J. Lee United States 16 263 223 151 92 91 28 701
Sindhu Saraswathy United States 16 413 1.6× 260 1.2× 111 0.7× 38 0.4× 143 1.6× 36 666
Xiaoguang Cao China 17 473 1.8× 307 1.4× 122 0.8× 33 0.4× 154 1.7× 38 828
Heidi Roehrich United States 15 342 1.3× 443 2.0× 127 0.8× 36 0.4× 95 1.0× 29 752
Una Kelly United States 13 436 1.7× 404 1.8× 180 1.2× 60 0.7× 190 2.1× 20 783
Cristhian J. Ildefonso United States 14 311 1.2× 361 1.6× 89 0.6× 24 0.3× 77 0.8× 35 603
Naruhiro Ishida Japan 13 264 1.0× 358 1.6× 39 0.3× 248 2.7× 135 1.5× 23 752
Deshea L Harris United States 21 402 1.5× 322 1.4× 165 1.1× 410 4.5× 862 9.5× 58 1.3k
Thore Schmedt United States 12 260 1.0× 274 1.2× 61 0.4× 78 0.8× 498 5.5× 15 742
Mahbubul H. Shihan United States 10 160 0.6× 250 1.1× 44 0.3× 59 0.6× 74 0.8× 18 541
Yu-Guang He United States 15 434 1.7× 396 1.8× 60 0.4× 68 0.7× 238 2.6× 21 804

Countries citing papers authored by Darren J. Lee

Since Specialization
Citations

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

Fields of papers citing papers by Darren J. Lee

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Darren J. Lee

This figure shows the co-authorship network connecting the top 25 collaborators of Darren J. Lee. A scholar is included among the top collaborators of Darren J. 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 Darren J. Lee. Darren J. 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, Darren J., et al.. (2024). TIGIT stimulation suppresses autoimmune uveitis by inhibiting Th17 cell infiltration. Journal of Leukocyte Biology. 116(5). 1054–1060. 3 indexed citations
2.
Doherty, Sean, et al.. (2023). Ocular immunosuppressive microenvironment and novel drug delivery for control of uveitis. Advanced Drug Delivery Reviews. 198. 114869–114869. 10 indexed citations
3.
Foster, C. Stephen, et al.. (2023). A2Ar-dependent PD-1+ and TIGIT+ Treg cells have distinct homing requirements to suppress autoimmune uveitis in mice. Mucosal Immunology. 16(4). 422–431. 7 indexed citations
4.
5.
Lee, Darren J.. (2020). The relationship between TIGIT+ regulatory T cells and autoimmune disease. International Immunopharmacology. 83. 106378–106378. 35 indexed citations
6.
Foster, C. Stephen, et al.. (2020). TIGIT+ A2Ar-Dependent anti-uveitic Treg cells are a novel subset of Tregs associated with resolution of autoimmune uveitis. Journal of Autoimmunity. 111. 102441–102441. 19 indexed citations
7.
Ma, Jian‐xing, et al.. (2020). Kallistatin Attenuates Experimental Autoimmune Uveitis by Inhibiting Activation of T Cells. Frontiers in Immunology. 11. 975–975. 5 indexed citations
8.
Lee, Stacey, Janine M. Preble, C. Stephen Foster, et al.. (2019). PD-1+ melanocortin receptor dependent-Treg cells prevent autoimmune disease. Scientific Reports. 9(1). 16941–16941. 17 indexed citations
9.
Trivett, Anna, et al.. (2019). Tissue‐specific production of MicroRNA‐155 inhibits melanocortin 5 receptor‐dependent suppressor macrophages to promote experimental autoimmune uveitis. European Journal of Immunology. 49(11). 2074–2082. 14 indexed citations
10.
Lee, Darren J., et al.. (2018). Obesity Exacerbates Experimental Autoimmune Uveitis. Investigative Ophthalmology & Visual Science. 59(9). 2552–2552. 1 indexed citations
11.
Lee, Darren J. & Andrew W. Taylor. (2015). Recovery from experimental autoimmune uveitis promotes induction of antiuveitic inducible Tregs. Journal of Leukocyte Biology. 97(6). 1101–1109. 35 indexed citations
12.
Lee, Darren J.. (2015). Intraocular Implants for the Treatment of Autoimmune Uveitis. Journal of Functional Biomaterials. 6(3). 650–666. 28 indexed citations
13.
Zhang, Chongxu, Darren J. Lee, Y. C. Chiang, et al.. (2013). The RRM1 domain of the poly(A)-binding protein from Saccharomyces cerevisiae is critical to control of mRNA deadenylation. Molecular Genetics and Genomics. 288(9). 401–412. 13 indexed citations
14.
Wang, Xin, Chongxu Zhang, Y. C. Chiang, et al.. (2012). Use of the novel technique of analytical ultracentrifugation with fluorescence detection system identifies a 77S monosomal translation complex. Protein Science. 21(9). 1253–1268. 9 indexed citations
15.
Chiang, Y. C., et al.. (2012). SPT5 affects the rate of mRNA degradation and physically interacts with CCR4 but does not control mRNA deadenylation. American Journal of Molecular Biology. 2(1). 11–20. 1 indexed citations
16.
Lee, Darren J. & Andrew W. Taylor. (2011). Following EAU Recovery There Is an Associated MC5r-Dependent APC Induction of Regulatory Immunity in the Spleen. Investigative Ophthalmology & Visual Science. 52(12). 8862–8862. 33 indexed citations
17.
Lee, Darren J., Takbum Ohn, Y. C. Chiang, et al.. (2010). PUF3 Acceleration of Deadenylation in Vivo Can Operate Independently of CCR4 Activity, Possibly Involving Effects on the PAB1–mRNP Structure. Journal of Molecular Biology. 399(4). 562–575. 40 indexed citations
18.
Taylor, Andrew W. & Darren J. Lee. (2010). Applications of the Role of α-MSH in Ocular Immune Privilege. Advances in experimental medicine and biology. 681. 143–149. 28 indexed citations
19.
Lee, Darren J., et al.. (2009). Injection of an alpha-melanocyte stimulating hormone expression plasmid is effective in suppressing experimental autoimmune uveitis. International Immunopharmacology. 9(9). 1079–1086. 47 indexed citations
20.
Ohn, Takbum, et al.. (2007). CAF1 plays an important role in mRNA deadenylation separate from its contact to CCR4. Nucleic Acids Research. 35(9). 3002–3015. 31 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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