David Deng

481 total citations
9 papers, 388 citations indexed

About

David Deng is a scholar working on Surgery, Pathology and Forensic Medicine and Oncology. According to data from OpenAlex, David Deng has authored 9 papers receiving a total of 388 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Surgery, 2 papers in Pathology and Forensic Medicine and 2 papers in Oncology. Recurrent topics in David Deng's work include Pancreatitis Pathology and Treatment (3 papers), Pancreatic and Hepatic Oncology Research (2 papers) and Inflammation biomarkers and pathways (1 paper). David Deng is often cited by papers focused on Pancreatitis Pathology and Treatment (3 papers), Pancreatic and Hepatic Oncology Research (2 papers) and Inflammation biomarkers and pathways (1 paper). David Deng collaborates with scholars based in China and United States. David Deng's co-authors include Matthew J. Webber, Benjamin C. Tang, Róbert Langer, Danny Hung‐Chieh Chou, Daniel G. Anderson, Abel B. Cortinas, Qingfeng Xiang, Maling Gou, Lu Ding and Liqin Wang and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Biomaterials and ACS Applied Materials & Interfaces.

In The Last Decade

David Deng

9 papers receiving 384 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
David Deng China 8 128 118 93 89 85 9 388
Xiao Gu China 13 77 0.6× 206 1.7× 74 0.8× 69 0.8× 60 0.7× 27 597
Arturo J. Vegas United States 8 78 0.6× 121 1.0× 107 1.2× 19 0.2× 64 0.8× 12 338
Cheong-Soo Park South Korea 9 90 0.7× 157 1.3× 97 1.0× 46 0.5× 90 1.1× 23 452
Duaa Abuarqoub Jordan 14 38 0.3× 163 1.4× 90 1.0× 15 0.2× 104 1.2× 47 463
Christopher D. Sarsons Canada 8 30 0.2× 220 1.9× 163 1.8× 28 0.3× 182 2.1× 15 485
Zhewei Zhang China 13 71 0.6× 273 2.3× 94 1.0× 27 0.3× 59 0.7× 29 578
Tong Zi United States 11 45 0.4× 361 3.1× 95 1.0× 37 0.4× 59 0.7× 21 617
Tanner K. Hill United States 10 47 0.4× 146 1.2× 261 2.8× 19 0.2× 186 2.2× 11 516
Jaya Mallela United States 13 41 0.3× 133 1.1× 325 3.5× 27 0.3× 256 3.0× 16 669
Damiano Librizzi Germany 14 50 0.4× 663 5.6× 122 1.3× 20 0.2× 147 1.7× 49 1.0k

Countries citing papers authored by David Deng

Since Specialization
Citations

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

Fields of papers citing papers by David Deng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of David Deng

This figure shows the co-authorship network connecting the top 25 collaborators of David Deng. A scholar is included among the top collaborators of David Deng 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 David Deng. David Deng 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.
Xu, Qi, Ming Shi, Lu Ding, et al.. (2023). High expression of P-selectin induces neutrophil extracellular traps via the PSGL-1/Syk/Ca2+/PAD4 pathway to exacerbate acute pancreatitis. Frontiers in Immunology. 14. 1265344–1265344. 13 indexed citations
2.
Ding, Lu, et al.. (2022). Cell Infiltrative Inner Connected Porous Hydrogel Improves Neural Stem Cell Migration and Differentiation for Functional Repair of Spinal Cord Injury. ACS Biomaterials Science & Engineering. 8(12). 5307–5318. 25 indexed citations
3.
Wang, Liqin, Shihong Wen, Liang Luo, et al.. (2020). P-Selectin-Based Dual-Model Nanoprobe Used for the Specific and Rapid Visualization of Early Detection toward Severe Acute Pancreatitis in Vivo. ACS Biomaterials Science & Engineering. 6(10). 5857–5865. 7 indexed citations
4.
Liu, Xuan, Jie Tao, Jinlu Liu, et al.. (2019). 3D Printing Enabled Customization of Functional Microgels. ACS Applied Materials & Interfaces. 11(13). 12209–12215. 30 indexed citations
5.
Zhang, Fang, Yanlin Wu, Lingli Long, et al.. (2019). RGD-Modified Nanocarrier-Mediated Targeted Delivery of HIF-1α-AA Plasmid DNA to Cerebrovascular Endothelial Cells for Ischemic Stroke Treatment. ACS Biomaterials Science & Engineering. 5(11). 6254–6264. 23 indexed citations
6.
Xiang, Qingfeng, Zuojun Zhen, David Deng, et al.. (2015). Tivantinib induces G2/M arrest and apoptosis by disrupting tubulin polymerization in hepatocellular carcinoma. Journal of Experimental & Clinical Cancer Research. 34(1). 118–118. 33 indexed citations
7.
Chou, Danny Hung‐Chieh, Matthew J. Webber, Benjamin C. Tang, et al.. (2015). Glucose-responsive insulin activity by covalent modification with aliphatic phenylboronic acid conjugates. Proceedings of the National Academy of Sciences. 112(8). 2401–2406. 190 indexed citations
8.
Zhang, Hongwu, Liqin Wang, Qingfeng Xiang, et al.. (2013). Specific lipase-responsive polymer-coated gadolinium nanoparticles for MR imaging of early acute pancreatitis. Biomaterials. 35(1). 356–367. 37 indexed citations
9.
Mueller, Odilo, Elaine Chang, David Deng, et al.. (2008). PROCAM Study: risk prediction for myocardial infarction using microfluidic high-density lipoprotein (HDL) subfractionation is independent of HDL cholesterol. Clinical Chemistry and Laboratory Medicine (CCLM). 46(4). 490–8. 30 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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