Dapeng Qian

662 citations
12 papers · 568 indexed · h-index 7
Topics
CAR-T cell therapy research (3 papers)Wnt/β-catenin signaling in development and cancer (2 papers)T-cell and B-cell Immunology (2 papers)
Partner nations
United StatesChinaIndia

In The Last Decade

Dapeng Qian

11 papers receiving 561 citations

Peers

Dapeng Qian
Comparison fields: 5 of 69
  • Immunology 317
  • Molecular Biology 250
  • Oncology 113
  • Immunology and Allergy 94
  • Radiology, Nuclear Medicine and Imaging 73
Replace Karen E. DeBell with:
Karen E. DeBell United States
Christina Oetken Finland
Monique Sémichon France
Michael A. Musci United States
G A Koretzky United States
I Boulet Australia
H L Ostergaard United States
Y Kanakura United States
Bente Lowin Kropf Switzerland
Laurence Brouchon France
Dapeng Qian relative to Karen E. DeBell United States Karen E. DeBell's profile →
Citations per field
00.5×1.5×
Karen E. DeBell · 1×
Citations per year

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
#WorkIndexed citations
1 3
2 11
3 0
4 3
5 5
6 2
7
Chemical genetic approaches to kinase drug discovery.
7
8
The Ste20 kinase MST4 plays a role in prostate cancer progression.
42
9 148
10 328
11
T cell antigen receptor signal transduction. Curr Opin Cell Biol
10
12 9

About Dapeng Qian

Dapeng Qian is a scholar working on Energy Engineering and Power Technology, Oncology and Hepatology, having authored 12 papers that have together received 568 indexed citations. Recurring topics across this 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). The work is most often cited by research in Immunology and Allergy (94 citations), Immunology (317 citations) and Oncology (113 citations). Dapeng Qian has collaborated with scholars based in United States, China and India. Frequent 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. Their work appears in journals such as The Journal of Experimental Medicine, Journal of Clinical Oncology and PLoS ONE.

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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