Lingtao Wu

1.2k total citations
34 papers, 1000 citations indexed

About

Lingtao Wu is a scholar working on Molecular Biology, Oncology and Genetics. According to data from OpenAlex, Lingtao Wu has authored 34 papers receiving a total of 1000 indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Molecular Biology, 16 papers in Oncology and 8 papers in Genetics. Recurrent topics in Lingtao Wu's work include Cancer-related Molecular Pathways (11 papers), Retinoids in leukemia and cellular processes (9 papers) and Acute Myeloid Leukemia Research (5 papers). Lingtao Wu is often cited by papers focused on Cancer-related Molecular Pathways (11 papers), Retinoids in leukemia and cellular processes (9 papers) and Acute Myeloid Leukemia Research (5 papers). Lingtao Wu collaborates with scholars based in United States, China and Spain. Lingtao Wu's co-authors include Frederick L. Hall, Timothy J. Triche, Hiroyuki Shimada, Erlinda M. Gordon, Ambrose Jong, W. French Anderson, Siwen Hu‐Lieskovan, Deborah E. Schofield, Qiaojun He and Vaughn A. Starnes and has published in prestigious journals such as Journal of Biological Chemistry, Circulation and Blood.

In The Last Decade

Lingtao Wu

34 papers receiving 971 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Lingtao Wu United States 19 716 333 202 150 94 34 1000
Christiane Arnold France 15 363 0.5× 228 0.7× 183 0.9× 69 0.5× 115 1.2× 20 919
Philippe Pujuguet Belgium 16 542 0.8× 446 1.3× 71 0.4× 140 0.9× 112 1.2× 22 1.1k
Claire Attwooll United States 9 961 1.3× 375 1.1× 170 0.8× 144 1.0× 75 0.8× 12 1.3k
Rui Fang Qiao United States 11 999 1.4× 360 1.1× 116 0.6× 65 0.4× 83 0.9× 12 1.3k
Suh-Chin J. Lin United States 8 1.2k 1.6× 330 1.0× 190 0.9× 97 0.6× 52 0.6× 9 1.6k
Shu-Fang Jia United States 15 532 0.7× 283 0.8× 147 0.7× 299 2.0× 127 1.4× 19 845
Jonathan Perk United States 7 782 1.1× 272 0.8× 245 1.2× 88 0.6× 41 0.4× 7 994
Etienne Danis United States 18 1.0k 1.4× 323 1.0× 141 0.7× 99 0.7× 102 1.1× 40 1.4k
Andrew J. Woo United States 17 1.0k 1.5× 219 0.7× 130 0.6× 152 1.0× 146 1.6× 30 1.4k
Jason R. Neil United States 11 564 0.8× 366 1.1× 94 0.5× 84 0.6× 77 0.8× 14 933

Countries citing papers authored by Lingtao Wu

Since Specialization
Citations

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

Fields of papers citing papers by Lingtao Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Lingtao Wu

This figure shows the co-authorship network connecting the top 25 collaborators of Lingtao Wu. A scholar is included among the top collaborators of Lingtao Wu 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 Lingtao Wu. Lingtao Wu 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.
Abdel‐Azim, Hisham, Weili Sun, & Lingtao Wu. (2019). Strategies to generate functionally normal neutrophils to reduce infection and infection-related mortality in cancer chemotherapy. Pharmacology & Therapeutics. 204. 107403–107403. 8 indexed citations
2.
Chen, Shan, et al.. (2018). In Vivo Study on Site of Action of Sinapine Thiocyanate following Acupoint Herbal Patching. Evidence-based Complementary and Alternative Medicine. 2018(1). 9502902–9502902. 7 indexed citations
3.
Ding, Wanjing, Hiroyuki Shimada, Lin Li, et al.. (2012). Retinoid agonist Am80-enhanced neutrophil bactericidal activity arising from granulopoiesis in vitro and in a neutropenic mouse model. Blood. 121(6). 996–1007. 11 indexed citations
4.
Chaudhry, Parvesh, Xiaochun Yang, Michael Wagner, Ambrose Jong, & Lingtao Wu. (2011). Retinoid-Regulated FGF8f Secretion by Osteoblasts Bypasses Retinoid Stimuli to Mediate Granulocytic Differentiation of Myeloid Leukemia Cells. Molecular Cancer Therapeutics. 11(2). 267–276. 6 indexed citations
5.
Luo, Peihua, Xiaochun Yang, Meidan Ying, et al.. (2010). Retinoid-suppressed phosphorylation of RARα mediates the differentiation pathway of osteosarcoma cells. Oncogene. 29(19). 2772–2783. 31 indexed citations
6.
Wang, Anxun, et al.. (2009). Loss of CAK phosphorylation of RARa mediates transcriptional control of retinoid‐induced cancer cell differentiation. The FASEB Journal. 24(3). 833–843. 20 indexed citations
7.
Luo, Feng, Robert C. Seeger, Lingtao Wu, et al.. (2008). Cdc6 knockdown inhibits human neuroblastoma cell proliferation. Molecular and Cellular Biochemistry. 311(1-2). 189–197. 18 indexed citations
8.
9.
Luo, Feng, Jiing‐Kuan Yee, Sheng‐He Huang, Lingtao Wu, & Ambrose Jong. (2006). Downregulation of Human Cdc6 Protein Using a Lentivirus RNA Interference Expression Vector. Humana Press eBooks. 342. 287–294. 8 indexed citations
10.
11.
Wang, Jiwei, Lora W. Barsky, Ambrose Jong, et al.. (2002). Retinoid-induced G1 Arrest and Differentiation Activation Are Associated with a Switch to Cyclin-dependent Kinase-activating Kinase Hypophosphorylation of Retinoic Acid Receptor α. Journal of Biological Chemistry. 277(45). 43369–43376. 38 indexed citations
12.
Andrades, José A., Lingtao Wu, Frederick L. Hall, Marcel E. Nimni, & José Becerra. (2001). Engineering, Expression, and Renaturation of a Collagen-Targeted Human bFGF Fusion Protein. Growth Factors. 18(4). 261–275. 38 indexed citations
13.
Andrades, José A., et al.. (2001). Production of a recombinant human basic fibroblast growth factor with a collagen binding domain. PROTOPLASMA. 218(1-2). 95–103. 16 indexed citations
14.
Luo, Feng, Bin Wang, Lingtao Wu, & Ambrose Jong. (2000). Loss Control of Mcm5 Interaction with Chromatin in cdc6-1 Mutated in CDC-NTP Motif. DNA and Cell Biology. 19(7). 447–457. 5 indexed citations
15.
Wang, Bin, et al.. (1999). The Essential Role of Saccharomyces cerevisiae CDC6 Nucleotide-binding Site in Cell Growth, DNA Synthesis, and Orc1 Association. Journal of Biological Chemistry. 274(12). 8291–8298. 53 indexed citations
16.
Wu, Lingtao, Ping Chen, Jung-Joo Hwang, et al.. (1999). RNA Antisense Abrogation of MAT1 Induces G1 Phase Arrest and Triggers Apoptosis in Aortic Smooth Muscle Cells. Journal of Biological Chemistry. 274(9). 5564–5572. 21 indexed citations
17.
18.
Yee, Ann, Lingtao Wu, Ling Liu, et al.. (1996). Biochemical Characterization of the Human Cyclin-dependent Protein Kinase Activating Kinase. Journal of Biological Chemistry. 271(1). 471–477. 12 indexed citations
19.
Wu, Lingtao, Amy S. Yee, Ling Liu, et al.. (1994). Molecular cloning of the human CAK1 gene encoding a cyclin-dependent kinase-activating kinase.. PubMed. 9(7). 2089–96. 42 indexed citations
20.
Bui, Kim Chi, Frank Wu, Lingtao Wu, et al.. (1993). Cyclin A Expression in Normal and Transformed Alveolar Epithelial Cells. American Journal of Respiratory Cell and Molecular Biology. 9(2). 115–125. 18 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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