Daniel C. Pan

2.5k citations
29 papers · 1.8k · h-index 21

Impact in

    • Nanoparticle-Based Drug Delivery
  • Immunology top 10%
    • Immunotherapy and Immune Responses
    • Immune cells in cancer
    • Phagocytosis and Immune Regulation

Papers in

Daniel C. Pan

28 papers receiving 1.8k citations

Peers

Daniel C. Pan
Comparison fields: 5 of 116
  • Biomaterials 497
  • Immunology 366
  • Pharmaceutical Science 100
  • Biomedical Engineering 675
  • Physiology 255
Replace Elizabeth D. Hood with:
Elizabeth D. Hood United States
Anvay Ukidve United States
Ann‐Marie Broome United States
Yuwei He China
Xue‐Qing Zhang United States
Juhui Qiu China
Xiaolei Tang China
Hanze Hu United States
Marcel H.A.M. Fens Netherlands
Douglas J. Goetz United States
Daniel C. Pan relative to Elizabeth D. Hood United States Elizabeth D. Hood's profile →
Citations per field
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Elizabeth D. Hood · 1×
Citations per year

Countries citing papers authored by Daniel C. Pan

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Daniel C. Pan Line = papers co-authored together Daniel C. Pan links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 29 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2020335
2 2013321
3 2016116
4 2020114
5 2018109
6 2015102
7 2020101
8 202081
9 202078
10 202360
11 201851
12 201839
13 202135
14 201133
15 202032
16 201832
17 201729
18 201529
19 201525
20 201524

About Daniel C. Pan

Daniel C. Pan is a scholar working on Pulmonary and Respiratory Medicine, Physiology, Hematology, Immunology and Molecular Biology, having authored 29 papers that have together received 1.8k 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), Blood groups and transfusion (3 papers), Immune Cell Function and Interaction (3 papers), Immune cells in cancer (3 papers), Immunotherapy and Immune Responses (3 papers) and Nanoparticle-Based Drug Delivery (2 papers). The work is most often cited by research in Biomaterials (497 citations), Immunology (366 citations), Pharmaceutical Science (100 citations), Biomedical Engineering (675 citations) and Physiology (255 citations). Daniel C. Pan has collaborated with scholars based in United States, China and Philippines. Frequent co-authors include Samir Mitragotri, Vladimir R. Muzykantov, Aaron C. Anselmo, Zongmin Zhao, Michael Zakrewsky, Vivek Gupta, Blaine J. Zern, Anvay Ukidve, C. Wyatt Shields and Debra Wu. Their work appears in journals such as Blood, Bioengineering & Translational Medicine, Journal of Controlled Release, Nanomedicine Nanotechnology Biology and Medicine and Nature Communications.

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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