Liren Tang

1.2k total citations
27 papers, 872 citations indexed

About

Liren Tang is a scholar working on Molecular Biology, Cell Biology and Urology. According to data from OpenAlex, Liren Tang has authored 27 papers receiving a total of 872 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Molecular Biology, 9 papers in Cell Biology and 6 papers in Urology. Recurrent topics in Liren Tang's work include Hair Growth and Disorders (6 papers), Protist diversity and phylogeny (4 papers) and Microtubule and mitosis dynamics (4 papers). Liren Tang is often cited by papers focused on Hair Growth and Disorders (6 papers), Protist diversity and phylogeny (4 papers) and Microtubule and mitosis dynamics (4 papers). Liren Tang collaborates with scholars based in Canada, China and United States. Liren Tang's co-authors include Magdalena Martinka, Youwen Zhou, Mingwan Su, Martin J. Trotter, Victor A. Tron, Michael P. A. Lyle, Derek L. Dai, Gang Li, Harvey Lui and James D. Berger and has published in prestigious journals such as Cancer Research, Clinical Cancer Research and American Journal Of Pathology.

In The Last Decade

Liren Tang

27 papers receiving 851 citations

Peers

Liren Tang

ONCOL

DERMA

Guochen Yan United States

Elle Koren Israel

Rolando Pérez‐Lorenzo United States

Adewale Adeyinka Sweden

Eva M. Valverius United States

Frances E. Lock Canada

Xuecui Guo Canada

Thomas B. Shima United States

Pau Martín-Malpartida Spain

Guochen Yan United States

Liren Tang

1.1k ×1.9

153 ×0.9

ONCOL

45 ×0.3

140 ×1.3

15 ×0.1

DERMA

Citations per year, relative to Liren Tang Liren Tang (= 1×) peers Guochen Yan

Countries citing papers authored by Liren Tang

Since Specialization

Citations

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

Fields of papers citing papers by Liren Tang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Liren Tang

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

All Works

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20 of 20 papers shown

Tang, Liren, et al.. (2023). AGL-Net: An Efficient Neural Network for EEG-Based Driver Fatigue Detection. Journal of Integrative Neuroscience. 22(6). 146–146. 9 indexed citations

McDonald, Paul C., Stephen Chia, Philippe L. Bédard, et al.. (2020). A Phase 1 Study of SLC-0111, a Novel Inhibitor of Carbonic Anhydrase IX, in Patients With Advanced Solid Tumors. American Journal of Clinical Oncology. 43(7). 484–490. 185 indexed citations

Zhou, Jeff X., Xiao-Yan Yang, Shunbin Ning, et al.. (2017). Identification of KANSARL as the first cancer predisposition fusion gene specific to the population of European ancestry origin. Oncotarget. 8(31). 50594–50607. 15 indexed citations

Zhou, Jiaying, Yabin Cheng, Liren Tang, Magdalena Martinka, & Sunil Kalia. (2016). Up-regulation of SERPINA3 correlates with high mortality of melanoma patients and increased migration and invasion of cancer cells. Oncotarget. 8(12). 18712–18725. 40 indexed citations

Tang, Liren, Mingwan Su, Yi Zhang, et al.. (2008). Endothelin-3 Is Produced by Metastatic Melanoma Cells and Promotes Melanoma Cell Survival. Journal of Cutaneous Medicine and Surgery. 12(2). 64–70. 17 indexed citations

Zhang, Yi, Liren Tang, Mingwan Su, et al.. (2006). Expression of Endothelins and Their Receptors in Nonmelanoma Skin Cancers. Journal of Cutaneous Medicine and Surgery. 10(6). 269–276. 5 indexed citations

Zhou, Youwen, Derek L. Dai, Magdalena Martinka, et al.. (2005). Osteopontin Expression Correlates with Melanoma Invasion. Journal of Investigative Dermatology. 124(5). 1044–1052. 4 indexed citations

Tang, Liren, Liping Cao, Steven Pelech, Harvey Lui, & Jerry Shapiro. (2003). Cytokines and Signal Transduction Pathways Mediated by Anthralin in Alopecia Areata-Affected Dundee ExperimentalBalding Rats. Journal of Investigative Dermatology Symposium Proceedings. 8(1). 87–90. 15 indexed citations

Tang, Liren, et al.. (2003). The expression of insulin-like growth factor 1 in follicular dermal papillae correlates with therapeutic efficacy of finasteride in androgenetic alopecia. Journal of the American Academy of Dermatology. 49(2). 229–233. 41 indexed citations

10.

Tang, Liren, Harvey Lui, Jerry Shapiro, & John P. Sundberg. (2003). Old Wine in New Bottles: Reviving Old Therapies for Alopecia Areata Using Rodent Models. Journal of Investigative Dermatology Symposium Proceedings. 8(2). 212–216. 15 indexed citations

11.

Tang, Liren, Liping Cao, Harvey Lui, et al.. (2003). Topical Mechlorethamine Restores Autoimmune-Arrested Follicular Activity in Mice with an Alopecia Areata-Like Disease by Targeting Infiltrated Lymphocytes. Journal of Investigative Dermatology. 120(3). 400–406. 16 indexed citations

12.

Tang, Liren, et al.. (2003). Topical nitrogen mustard in the treatment of alopecia areata: a bilateral comparison study. Journal of the American Academy of Dermatology. 49(2). 291–294. 12 indexed citations

13.

Tang, Liren, Harvey Lui, John P. Sundberg, et al.. (2003). Restoration of hair growth with topical diphencyprone in mouse and rat models of alopecia areata. Journal of the American Academy of Dermatology. 49(6). 1013–1019. 10 indexed citations

14.

Zhang, Hong, et al.. (2002). A cyclin-dependent protein kinase homologue associated with the basal body domains in the ciliate Tetrahymena thermophila. Biochimica et Biophysica Acta (BBA) - Molecular Cell Research. 1591(1-3). 119–128. 8 indexed citations

15.

Tron, Victor A., Martin J. Trotter, Liren Tang, et al.. (1998). p53-Regulated Apoptosis Is Differentiation Dependent in Ultraviolet B-Irradiated Mouse Keratinocytes. American Journal Of Pathology. 153(2). 579–585. 88 indexed citations

16.

Trotter, Martin J., Liren Tang, & Victor A. Tron. (1997). Overexpression of the cyclin‐dependent kinase inhibitor p21^WAF1/GIP1 in human cutaneous malignant melanoma. Journal of Cutaneous Pathology. 24(5). 265–271. 42 indexed citations

17.

Tang, Liren, Sina M. Adl, & James D. Berger. (1997). A CDC2‐Related Kinase is Associated with Macronuclear DNA Synthesis in Paramecium tetraurelia. Journal of Eukaryotic Microbiology. 44(3). 269–275. 11 indexed citations

18.

Tang, Liren, Steven Pelech, & James D. Berger. (1995). Isolation of the cell cycle control gene cdc2 from Paramecium tetraurelia. Biochimica et Biophysica Acta (BBA) - Molecular Cell Research. 1265(2-3). 161–167. 15 indexed citations

19.

Tang, Liren, Steven Pelech, & James D. Berger. (1994). A cdc2‐Like Kinase Associated with Commitment to Division in Paramecium tetraurelia. Journal of Eukaryotic Microbiology. 41(4). 381–387. 27 indexed citations

20.

Szankasi, Philippe, et al.. (1992). Regulation of p105^weel and p34^cdc2 during meiosis in Schizosaccharomyces pombe. Biochemistry and Cell Biology. 70(10-11). 1088–1096. 9 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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