Dapeng Qian

662 total citations
12 papers, 568 citations indexed

About

Dapeng Qian is a scholar working on Molecular Biology, Oncology and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Dapeng Qian has authored 12 papers receiving a total of 568 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 5 papers in Oncology and 2 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Dapeng Qian's work include CAR-T cell therapy research (3 papers), Wnt/β-catenin signaling in development and cancer (2 papers) and T-cell and B-cell Immunology (2 papers). Dapeng Qian is often cited by papers focused on CAR-T cell therapy research (3 papers), Wnt/β-catenin signaling in development and cancer (2 papers) and T-cell and B-cell Immunology (2 papers). Dapeng Qian collaborates with scholars based in United States, China and India. Dapeng Qian's co-authors include Arthur Weiss, Ivan Đikić, Sima Lev, Joseph Schlessinger, Nicolai S. C. van Oers, Victoria Sung, Wen Luo, Bahija Jallal, Mikhail L. Gishizky and Steven L. Gallion and has published in prestigious journals such as The Journal of Experimental Medicine, Journal of Clinical Oncology and PLoS ONE.

In The Last Decade

Dapeng Qian

11 papers receiving 561 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Dapeng Qian United States 7 317 250 113 94 73 12 568
Karen E. DeBell United States 16 366 1.2× 381 1.5× 113 1.0× 117 1.2× 64 0.9× 24 743
Y Kanakura United States 7 320 1.0× 305 1.2× 184 1.6× 105 1.1× 57 0.8× 10 613
Christina Oetken Finland 9 445 1.4× 459 1.8× 176 1.6× 89 0.9× 110 1.5× 12 711
Sefton Bm United States 7 183 0.6× 458 1.8× 158 1.4× 76 0.8× 148 2.0× 8 659
Tanya S. Freedman United States 9 354 1.1× 328 1.3× 172 1.5× 28 0.3× 49 0.7× 18 722
Monique Sémichon France 9 378 1.2× 275 1.1× 102 0.9× 74 0.8× 41 0.6× 10 649
Anka Thies Germany 8 122 0.4× 264 1.1× 239 2.1× 96 1.0× 119 1.6× 9 488
G A Koretzky United States 12 404 1.3× 273 1.1× 87 0.8× 52 0.6× 66 0.9× 13 590
Roanna London United States 8 133 0.4× 444 1.8× 117 1.0× 282 3.0× 63 0.9× 10 708

Countries citing papers authored by Dapeng Qian

Since Specialization
Citations

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

Fields of papers citing papers by Dapeng Qian

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Dapeng Qian

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

All Works

12 of 12 papers shown
1.
Qian, Dapeng, et al.. (2017). Research on three-level SVG in the distribution network system. 1112–1116. 3 indexed citations
2.
Coburn, Glen A., D. H. Paul, Yakov Rotshteyn, et al.. (2012). Novel Small-Molecule Inhibitors of Hepatitis C Virus Entry Block Viral Spread and Promote Viral Clearance in Cell Culture. PLoS ONE. 7(4). e35351–e35351. 11 indexed citations
4.
Velleca, Mark, Sunil Sharma, Michael S. Gordon, et al.. (2010). Abstract 17: Preclinical and phase 1 trial results of JI-101, a novel, oral tyrosine kinase inhibitor that selectively targets VEGFR2, EphB4, and PDGFRβ. Cancer Research. 70(8_Supplement). 17–17. 3 indexed citations
5.
Velleca, Mark, David R. Brittelli, Lisa Elkin, et al.. (2009). Abstract B11: Preclinical and preliminary phase 1 trial results of JI-101: A novel, oral tyrosine kinase inhibitor that selectively targets VEGFR2, EphB4, and PDGFR. Molecular Cancer Therapeutics. 8(12_Supplement). B11–B11. 5 indexed citations
6.
Jiang, Shan, Kevin Currie, Xiaobing Qian, et al.. (2007). Chemical Genetic Transcriptional Fingerprinting for Selectivity Profiling of Kinase Inhibitors. Assay and Drug Development Technologies. 5(1). 49–64. 2 indexed citations
7.
Gallion, Steven L. & Dapeng Qian. (2005). Chemical genetic approaches to kinase drug discovery.. PubMed. 8(5). 638–45. 7 indexed citations
8.
Sung, Victoria, et al.. (2003). The Ste20 kinase MST4 plays a role in prostate cancer progression.. PubMed. 63(12). 3356–63. 42 indexed citations
9.
Qian, Dapeng, Sima Lev, Nicolai S. C. van Oers, et al.. (1997). Tyrosine Phosphorylation of Pyk2 Is Selectively Regulated by Fyn During TCR Signaling. The Journal of Experimental Medicine. 185(7). 1253–1260. 148 indexed citations
10.
Qian, Dapeng & Arthur Weiss. (1997). T cell antigen receptor signal transduction. Current Opinion in Cell Biology. 9(2). 205–212. 328 indexed citations
11.
Qian, Dapeng & Arthur Weiss. (1997). T cell antigen receptor signal transduction. Curr Opin Cell Biol. 10 indexed citations
12.
Lancki, D W, Patrick E. Fields, Dapeng Qian, & Frank W. Fitch. (1995). Induction of Lytic Pathways in T Cell Clones Derived from Wild‐type or Protein Tyrosine Kinase Fyn Mutant Mice. Immunological Reviews. 146(1). 117–144. 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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