David Deng
Impact in
- Pharmaceutical Science top 10%
- Advanced Drug Delivery Systems
- Advancements in Transdermal Drug Delivery
-
- Nanoparticle-Based Drug Delivery
Papers in ⓘ
- Surgery 6
- Pancreatitis Pathology and Treatment 3
- Pancreatic function and diabetes 1
- Co-authors
- Danny Hung‐Chieh Chou (1 shared paper)Róbert Langer (1 shared paper)Daniel G. Anderson (1 shared paper)Matthew J. Webber (1 shared paper)Benjamin C. Tang (1 shared paper)Abel B. Cortinas (1 shared paper)Qingfeng Xiang (2 shared papers)Maling Gou (2 shared papers)
- Journals
- ACS Biomaterials Science & Engineering (3 papers)Biomaterials (1 paper)Clinical Chemistry and Laboratory Medicine (CCLM) (1 paper)Proceedings of the National Academy of Sciences (1 paper)ACS Applied Materials & Interfaces (1 paper)
- Partner nations
- ChinaUnited States
In The Last Decade
David Deng
9 papers receiving 384 citations
Peers
Comparison fields: 5 of 67
- Pharmaceutical Science 54
- Biomaterials 85
- Endocrinology, Diabetes and Metabolism 89
- Molecular Medicine 21
- Surgery 128
Countries citing papers authored by David Deng
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
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-authors
The 25 scholars most cited alongside David Deng, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2015 | 190 | |
| 2 | 2013 | 37 | |
| 3 | 2015 | 33 | |
| 4 | 2008 | 30 | |
| 5 | 2019 | 30 | |
| 6 | 2022 | 25 | |
| 7 | 2019 | 23 | |
| 8 | 2023 | 13 | |
| 9 | 2020 | 7 |
About David Deng
David Deng is a scholar working on Surgery, Pathology and Forensic Medicine, Oncology, Endocrinology, Diabetes and Metabolism and Biomedical Engineering, having authored 9 papers that have together received 388 indexed citations. Recurring topics across this work include Pancreatitis Pathology and Treatment (3 papers), Pancreatic and Hepatic Oncology Research (2 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (1 paper), Hepatocellular Carcinoma Treatment and Prognosis (1 paper), Neutrophil, Myeloperoxidase and Oxidative Mechanisms (1 paper), Inflammation biomarkers and pathways (1 paper), Pancreatic function and diabetes (1 paper) and Diabetes Management and Research (1 paper). The work is most often cited by research in Pharmaceutical Science (54 citations), Biomaterials (85 citations), Endocrinology, Diabetes and Metabolism (89 citations), Molecular Medicine (21 citations) and Surgery (128 citations). David Deng has collaborated with scholars based in China and United States. Frequent co-authors include Danny Hung‐Chieh Chou, Róbert Langer, Daniel G. Anderson, Matthew J. Webber, Benjamin C. Tang, Abel B. Cortinas, Qingfeng Xiang, Maling Gou, Lu Ding and Liqin Wang. Their work appears in journals such as ACS Biomaterials Science & Engineering, Biomaterials, Clinical Chemistry and Laboratory Medicine (CCLM), Proceedings of the National Academy of Sciences and ACS Applied Materials & Interfaces.
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.