Daniel C. Pan
Impact in
- Biomaterials top 0.5%
- Nanoparticle-Based Drug Delivery
- Pharmaceutical Science top 5%
- Advanced Drug Delivery Systems
Papers in
- Biomaterials 14
- Nanoparticle-Based Drug Delivery 14
-
- Immune cells in cancer 3
- Immunotherapy and Immune Responses 3
- Co-authors
- Samir Mitragotri (12 shared papers)Vladimir R. Muzykantov (15 shared papers)Aaron C. Anselmo (3 shared papers)Zongmin Zhao (6 shared papers)Vivek Gupta (2 shared papers)Blaine J. Zern (2 shared papers)Michael Zakrewsky (2 shared papers)Anvay Ukidve (3 shared papers)
- Journals
- Blood (3 papers)Nature Communications (2 papers)Journal of Controlled Release (2 papers)Bioengineering & Translational Medicine (2 papers)Biomaterials (1 paper)
- Partner nations
- United StatesChinaGermany
In The Last Decade
Daniel C. Pan
23 papers receiving 2.1k citations
Peers
Comparison fields: 5 of 85
- Biomaterials 1.1k
- Pharmaceutical Science 116
- Immunology 314
- Drug Discovery 4
- Molecular Medicine 61
Countries citing papers authored by Daniel C. Pan
This map shows the geographic impact of Daniel C. Pan'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 Daniel C. Pan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel C. Pan more than expected).
Fields of papers citing papers by Daniel C. Pan
This network shows the impact of papers produced by Daniel C. Pan. 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 Daniel C. Pan. The network helps show where Daniel C. Pan may publish in the future.
Co-authors
The 25 scholars most cited alongside Daniel C. Pan, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 24 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 356 | |
| 2 | 2013 | 336 | |
| 3 | 2018 | 329 | |
| 4 | 2020 | 128 | |
| 5 | 2016 | 118 | |
| 6 | 2018 | 116 | |
| 7 | 2020 | 109 | |
| 8 | 2015 | 107 | |
| 9 | 2020 | 86 | |
| 10 | 2020 | 81 | |
| 11 | 2023 | 71 | |
| 12 | 2018 | 54 | |
| 13 | 2018 | 40 | |
| 14 | 2021 | 38 | |
| 15 | 2017 | 36 | |
| 16 | 2020 | 33 | |
| 17 | 2015 | 31 | |
| 18 | 2015 | 25 | |
| 19 | 2021 | 20 | |
| 20 | 2022 | 20 |
About Daniel C. Pan
Daniel C. Pan is a scholar working on Biomaterials, Immunology, Radiology, Nuclear Medicine and Imaging, Hematology and Immunology and Allergy, having authored 24 papers that have together received 2.1k indexed citations. Recurring topics across this work include Nanoparticle-Based Drug Delivery (14 papers), Monoclonal and Polyclonal Antibodies Research (4 papers), Immune cells in cancer (3 papers), Immunotherapy and Immune Responses (3 papers), Blood properties and coagulation (2 papers), Blood Coagulation and Thrombosis Mechanisms (2 papers), RNA Interference and Gene Delivery (1 paper) and Polymer Surface Interaction Studies (1 paper). The work is most often cited by research in Biomaterials (1.1k citations), Pharmaceutical Science (116 citations), Immunology (314 citations), Drug Discovery (4 citations) and Molecular Medicine (61 citations). Daniel C. Pan has collaborated with scholars based in United States, China and Germany. Frequent co-authors include Samir Mitragotri, Vladimir R. Muzykantov, Aaron C. Anselmo, Zongmin Zhao, Vivek Gupta, Blaine J. Zern, Michael Zakrewsky, Anvay Ukidve, Charles Wyatt Shields and Debra Wu. Their work appears in journals such as Blood, Nature Communications, Journal of Controlled Release, Bioengineering & Translational Medicine and Biomaterials.
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.