Lu Tan

776 total citations
9 papers, 509 citations indexed

About

Lu Tan is a scholar working on Molecular Biology, Physiology and Pathology and Forensic Medicine. According to data from OpenAlex, Lu Tan has authored 9 papers receiving a total of 509 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 5 papers in Physiology and 3 papers in Pathology and Forensic Medicine. Recurrent topics in Lu Tan's work include Lysosomal Storage Disorders Research (4 papers), Cancer Mechanisms and Therapy (3 papers) and Chromatin Remodeling and Cancer (3 papers). Lu Tan is often cited by papers focused on Lysosomal Storage Disorders Research (4 papers), Cancer Mechanisms and Therapy (3 papers) and Chromatin Remodeling and Cancer (3 papers). Lu Tan collaborates with scholars based in United States. Lu Tan's co-authors include Jaclyn A. Biegel, Luanne Wainwright, Pierre Russo, Lucy B. Rorke, Fan Zhang, Srinivas B. Narayan, Michael J. Bennett, Dinesh Rakheja, Johanne V. Pastor and Kristina An Haack and has published in prestigious journals such as Annals of Neurology, Biochemical and Biophysical Research Communications and Biochimica et Biophysica Acta (BBA) - General Subjects.

In The Last Decade

Lu Tan

9 papers receiving 502 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Lu Tan United States 9 408 227 97 72 72 9 509
Thomas A. Natoli United States 17 643 1.6× 111 0.5× 62 0.6× 5 0.1× 53 0.7× 21 779
Sutapa Banerjee United States 8 140 0.3× 32 0.1× 41 0.4× 98 1.4× 40 0.6× 9 433
Zhi Fang China 14 188 0.5× 31 0.1× 49 0.5× 16 0.2× 21 0.3× 22 395
Sunny Malhotra Spain 12 257 0.6× 108 0.5× 26 0.3× 34 0.5× 15 0.2× 26 484
Paola Cuccarolo Italy 12 239 0.6× 14 0.1× 48 0.5× 16 0.2× 26 0.4× 19 433
Adrienne S. McCampbell United States 12 253 0.6× 29 0.1× 32 0.3× 10 0.1× 44 0.6× 15 537
Adriano Torres Antonucci Italy 13 242 0.6× 25 0.1× 86 0.9× 7 0.1× 46 0.6× 41 452
Michaela Brunner‐Krainz Austria 10 147 0.4× 112 0.5× 62 0.6× 146 2.0× 33 0.5× 22 393
Bente B. Johansson Norway 15 362 0.9× 13 0.1× 48 0.5× 14 0.2× 76 1.1× 33 856
Reema B. Davis United States 9 223 0.5× 34 0.1× 46 0.5× 28 0.4× 27 0.4× 12 361

Countries citing papers authored by Lu Tan

Since Specialization
Citations

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

Fields of papers citing papers by Lu Tan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Lu Tan

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

All Works

9 of 9 papers shown
1.
Τενοπούλου, Μαργαρίτα, Paschalis‐Thomas Doulias, Kent Nakamoto, et al.. (2018). Oral nitrite restores age-dependent phenotypes in eNOS-null mice. JCI Insight. 3(16). 11 indexed citations
2.
Tan, Lu, et al.. (2013). Amlodipine prevents apoptotic cell death by correction of elevated intracellular calcium in a primary neuronal model of Batten disease (CLN3 disease). Biochemical and Biophysical Research Communications. 436(4). 645–649. 21 indexed citations
3.
Tan, Lu, et al.. (2011). PTC124 improves readthrough and increases enzymatic activity of the CPT1A R160X nonsense mutation. Journal of Inherited Metabolic Disease. 34(2). 443–447. 35 indexed citations
4.
Haack, Kristina An, et al.. (2010). Screening for calcium channel modulators in CLN3 siRNA knock down SH-SY5Y neuroblastoma cells reveals a significant decrease of intracellular calcium levels by selected L-type calcium channel blockers. Biochimica et Biophysica Acta (BBA) - General Subjects. 1810(2). 186–191. 21 indexed citations
5.
Narayan, Srinivas B., Lu Tan, & Michael J. Bennett. (2007). Intermediate levels of neuronal palmitoyl-protein Δ-9 desaturase in heterozygotes for murine Batten disease. Molecular Genetics and Metabolism. 93(1). 89–91. 10 indexed citations
6.
Narayan, Srinivas B., Dinesh Rakheja, Lu Tan, Johanne V. Pastor, & Michael J. Bennett. (2006). CLN3P, the Batten's disease protein, is a novel palmitoyl‐protein Δ‐9 desaturase. Annals of Neurology. 60(5). 570–577. 52 indexed citations
7.
Nedzi, Lucien, Odile David, Marshall A. Schorin, et al.. (2005). Predisposition to atypical teratoid/rhabdoid tumor due to an inherited INI1 mutation. Pediatric Blood & Cancer. 47(3). 279–284. 61 indexed citations
8.
Zhang, Fan, Lu Tan, Luanne Wainwright, Marisa S. Bartolomei, & Jaclyn A. Biegel. (2002). No evidence for hypermethylation of the hSNF5/INI1 promoter in pediatric rhabdoid tumors. Genes Chromosomes and Cancer. 34(4). 398–405. 23 indexed citations
9.
Biegel, Jaclyn A., Lu Tan, Fan Zhang, et al.. (2002). Alterations of the hSNF5/INI1 gene in central nervous system atypical teratoid/rhabdoid tumors and renal and extrarenal rhabdoid tumors.. PubMed. 8(11). 3461–7. 275 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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