Dapeng Cui

902 total citations
10 papers, 714 citations indexed

About

Dapeng Cui is a scholar working on Molecular Biology, Immunology and Pharmacology. According to data from OpenAlex, Dapeng Cui has authored 10 papers receiving a total of 714 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Molecular Biology, 3 papers in Immunology and 2 papers in Pharmacology. Recurrent topics in Dapeng Cui's work include T-cell and B-cell Immunology (3 papers), Immune Cell Function and Interaction (3 papers) and Biochemical effects in animals (2 papers). Dapeng Cui is often cited by papers focused on T-cell and B-cell Immunology (3 papers), Immune Cell Function and Interaction (3 papers) and Biochemical effects in animals (2 papers). Dapeng Cui collaborates with scholars based in United States, Germany and China. Dapeng Cui's co-authors include Cornelia M. Weyand, Won‐Woo Lee, Jörg J. Goronzy, Marta Cześnikiewicz‐Guzik, Yuko Hiruma, Joseph G. Ouslander, David L. Lamar, Zhi‐Zhang Yang, Marilyn E. Morris and Dian-Dong Li and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Blood and Drug Metabolism and Disposition.

In The Last Decade

Dapeng Cui

10 papers receiving 706 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 Cui United States 10 382 142 139 70 60 10 714
Renate Bang Germany 11 207 0.5× 144 1.0× 273 2.0× 83 1.2× 77 1.3× 11 857
Holly S. Goetzman United States 17 300 0.8× 219 1.5× 126 0.9× 31 0.4× 17 0.3× 21 638
Fabíola Mestriner Brazil 14 159 0.4× 271 1.9× 227 1.6× 27 0.4× 25 0.4× 28 729
Koremu Meja United Kingdom 10 202 0.5× 45 0.3× 393 2.8× 94 1.3× 65 1.1× 13 820
Huei Jiunn Seow Australia 17 243 0.6× 110 0.8× 258 1.9× 47 0.7× 7 0.1× 31 858
Judy A. Spitzer United States 17 257 0.7× 170 1.2× 181 1.3× 57 0.8× 33 0.6× 51 816
Julia Art Germany 8 147 0.4× 37 0.3× 238 1.7× 53 0.8× 16 0.3× 9 625
Thomas S. Davies United Kingdom 10 252 0.7× 118 0.8× 198 1.4× 50 0.7× 17 0.3× 12 637
Albrecht Wendel Germany 6 143 0.4× 56 0.4× 156 1.1× 44 0.6× 23 0.4× 8 416
Hui‐Ju Lin Taiwan 17 101 0.3× 196 1.4× 227 1.6× 34 0.5× 9 0.1× 67 854

Countries citing papers authored by Dapeng Cui

Since Specialization
Citations

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

Fields of papers citing papers by Dapeng Cui

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Dapeng Cui

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

All Works

10 of 10 papers shown
2.
Yu, Mingcan, Guangjin Li, Won‐Woo Lee, et al.. (2012). Signal inhibition by the dual-specific phosphatase 4 impairs T cell-dependent B-cell responses with age. Proceedings of the National Academy of Sciences. 109(15). E879–88. 80 indexed citations
3.
Felmlee, Melanie A., Qi Wang, Dapeng Cui, Samuel A. Roiko, & Marilyn E. Morris. (2010). Mechanistic Toxicokinetic Model for γ-Hydroxybutyric Acid: Inhibition of Active Renal Reabsorption as a Potential Therapeutic Strategy. The AAPS Journal. 12(3). 407–416. 22 indexed citations
4.
Cui, Dapeng & Marilyn E. Morris. (2009). The Drug of Abuse γ-Hydroxybutyrate Is a Substrate for Sodium-Coupled Monocarboxylate Transporter (SMCT) 1 (SLC5A8): Characterization of SMCT-Mediated Uptake and Inhibition. Drug Metabolism and Disposition. 37(7). 1404–1410. 41 indexed citations
5.
Cześnikiewicz‐Guzik, Marta, Won‐Woo Lee, Dapeng Cui, et al.. (2008). T cell subset-specific susceptibility to aging. Clinical Immunology. 127(1). 107–118. 360 indexed citations
6.
Lee, Won‐Woo, Dapeng Cui, Marta Cześnikiewicz‐Guzik, et al.. (2008). Age-Dependent Signature of Metallothionein Expression in Primary CD4 T Cell Responses Is Due to Sustained Zinc Signaling. Rejuvenation Research. 11(6). 1001–1011. 36 indexed citations
7.
Deng, Hongbin, et al.. (2006). Structural and functional changes of immune system in aging mouse induced by D-galactose.. PubMed. 19(6). 432–8. 18 indexed citations
8.
Singh, Karnail, Dapeng Cui, Sergey Pryshchep, et al.. (2006). Uncoupling of T-cell effector functions by inhibitory killer immunoglobulin–like receptors. Blood. 107(11). 4449–4457. 49 indexed citations
9.
Cui, Dapeng, Kimberly J. Dougherty, David W. Machacek, et al.. (2005). Divergence between motoneurons: gene expression profiling provides a molecular characterization of functionally discrete somatic and autonomic motoneurons. Physiological Genomics. 24(3). 276–289. 11 indexed citations
10.
Cui, Dapeng, et al.. (2003). Inhibiting effects of Achyranthes bidentata polysaccharide and Lycium barbarum polysaccharide on nonenzyme glycation in D-galactose induced mouse aging model.. PubMed. 16(3). 267–75. 81 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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