Philip Chang

2.5k citations
30 papers · 1.5k indexed · 1 hit paper · h-index 14

Philip Chang

27 papers receiving 1.4k citations

Hit Papers

Degradable lipid nanoparticles with predictable in vivo s...4962014202620182022100200300400

Peers

Philip Chang
Comparison fields: 5 of 121
  • Rehabilitation 91
  • Molecular Biology 845
  • Dermatology 93
  • Developmental Neuroscience 39
  • Biomaterials 121
Replace Federica Boraldi with:
Federica Boraldi Italy
Juliana Lott Carvalho Brazil
Zhengquan Yu China
Łukasz A. Poniatowski Poland
Abdi Ghaffari Canada
Zhaoqiang Zhang China
Adina Bianca Boșca Romania
Diane Agay France
Min Zhao China
Philip Chang relative to Federica Boraldi Italy Federica Boraldi's profile →
Citations per field
00.5×1.5×2.4×
Federica Boraldi · 1×
Citations per year

Countries citing papers authored by Philip Chang

Since Specialization
Citations

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

Fields of papers citing papers by Philip Chang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 25 scholars most cited alongside Philip Chang, 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 Philip Chang Line = papers co-authored together Philip Chang links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20240
2 20215
3 202052
4 20207
5 20194
6 201715
7 201615
8 201697
9 201440
10 20148
11
Degradable lipid nanoparticles with predictable in vivo siRNA delivery activitybreakdown →
2014496
12 20139
13 20126
14
In Vitro-In Vivo Translation of Lipid Nanoparticles for Hepatocellular siRNA Delivery
20128
15 2012113
16 201239
17 2012122
18 2009173
19 20077
20 1989106

About Philip Chang

Philip Chang is a scholar working on Rehabilitation, Occupational Therapy and Emergency Medical Services, having authored 30 papers that have together received 1.5k indexed citations. Recurring topics across this work include Burn Injury Management and Outcomes (10 papers), RNA Interference and Gene Delivery (5 papers), Wound Healing and Treatments (5 papers), Injury Epidemiology and Prevention (5 papers), Advanced biosensing and bioanalysis techniques (5 papers), Cancer, Lipids, and Metabolism (3 papers), Cardiac Arrest and Resuscitation (3 papers) and Disaster Response and Management (3 papers). The work is most often cited by research in Rehabilitation (91 citations), Molecular Biology (845 citations) and Dermatology (93 citations). Philip Chang has collaborated with scholars based in United States, Taiwan and Israel. Frequent co-authors include Chawnshang Chang, Daniel G. Anderson, J. Robert Dorkin, Kuo‐Pao Lai, Jiann–Jyh Lai, Kathryn A. Whitehead, J. Matthews, Róbert Langer, Omid Veiseh and Karsten Olejnik. Their work appears in journals such as Journal of Burn Care & Research, Nature Communications, Annals of Plastic Surgery, Stroke and Asian Journal of Andrology.

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026