Daniel C. Pan
Impact in
- Biomaterials top 2%
- Nanoparticle-Based Drug Delivery
- Immunology top 10%
- Immunotherapy and Immune Responses
- Immune cells in cancer
- Phagocytosis and Immune Regulation
Papers in
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- Blood groups and transfusion 3
-
- Erythrocyte Function and Pathophysiology 9
- Co-authors
- Samir MitragotriVladimir R. MuzykantovAaron C. AnselmoZongmin ZhaoBlaine J. ZernVivek GuptaMichael ZakrewskyAnvay Ukidve
- Journals
- Blood (3 papers)Journal of Controlled Release (2 papers)Bioengineering & Translational Medicine (2 papers)PLoS ONE (1 paper)Scientific Reports (1 paper)
- Partner nations
- United StatesChinaGermany
In The Last Decade
Daniel C. Pan
28 papers receiving 1.7k citations
Hit Papers
Peers
Comparison fields: 5 of 117
- Biomaterials 484
- Immunology 369
- Pharmaceutical Science 99
- Biomedical Engineering 664
- Physiology 249
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-authorship network
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
| # | Work | ||
|---|---|---|---|
| 1 | 2023 | 54 | |
| 2 | 2022 | 16 | |
| 3 | 2021 | 18 | |
| 4 | 2021 | 34 | |
| 5 | Cellular backpacks for macrophage immunotherapy Hit paper breakdown → | 2020 | 319 |
| 6 | 2020 | 77 | |
| 7 | 2020 | 71 | |
| 8 | 2020 | 27 | |
| 9 | 2018 | 39 | |
| 10 | 2018 | 103 | |
| 11 | 2018 | 50 | |
| 12 | 2018 | 15 | |
| 13 | 2018 | 1 | |
| 14 | 2017 | 29 | |
| 15 | 2017 | 1 | |
| 16 | 2017 | 13 | |
| 17 | 2015 | 24 | |
| 18 | 2015 | 27 | |
| 19 | 2015 | 94 | |
| 20 | 2011 | 32 |
About Daniel C. Pan
Daniel C. Pan is a scholar working on Hematology, Physiology, Pulmonary and Respiratory Medicine, Immunology and Physical Therapy, Sports Therapy and Rehabilitation, having authored 29 papers that have together received 1.7k indexed citations. Recurring topics across this work include Erythrocyte Function and Pathophysiology (9 papers), Blood properties and coagulation (7 papers), Inhalation and Respiratory Drug Delivery (3 papers), Immune Cell Function and Interaction (3 papers), Immunotherapy and Immune Responses (3 papers), Immune cells in cancer (3 papers), Blood groups and transfusion (3 papers) and Air Quality and Health Impacts (2 papers). The work is most often cited by research in Biomaterials (484 citations), Immunology (369 citations), Pharmaceutical Science (99 citations), Biomedical Engineering (664 citations) and Physiology (249 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, Blaine J. Zern, Vivek Gupta, Michael Zakrewsky, Anvay Ukidve, C. Wyatt Shields and Debra Wu. Their work appears in journals such as Blood, Journal of Controlled Release, Bioengineering & Translational Medicine, PLoS ONE and Scientific Reports.
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.