Andrew Li

55 papers receiving 2.2k citations

Hit Papers

Payload distribution and capacity of mRNA lipid nanoparticles 2022 · 187 citations
1871998202620072016200400600

Peers

Andrew Li
Comparison fields: 5 of 136
  • Physiology 121
  • Immunology 403
  • Biochemistry 137
  • Molecular Biology 1.2k
  • Biomaterials 230
Replace Peter Dieter with:
Peter Dieter Germany
Yu Cai China
Makoto Funaki Japan
Dahai Yang China
Benjamin Scott Padman Australia
Ye Wang China
Athena M. Soulika United States
Etsushi Kuroda Japan
Andrew Li relative to Peter Dieter Germany Peter Dieter's profile →
Citations per field
00.5×3.2×
Peter Dieter · 1×
Citations per year

Countries citing papers authored by Andrew Li

Since Specialization
Citations

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

Fields of papers citing papers by Andrew Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 20236
2 20231
3 20236
4 20218
5
Association of superficial and deep macula vessel density with past visual field progression in glaucoma
20191
6 20175
7 20172
8 201663
9 201521
10 201535
11 201518
12 20147
13 2014103
14 201313
15 20121
16 20126
17 201026
18 200544
19 200530
20 2000150

About Andrew Li

Andrew Li is a scholar working on Immunology and Allergy, Physiology, Surgery, Biomaterials and Molecular Biology, having authored 58 papers that have together received 2.3k indexed citations. Recurring topics across this work include RNA Interference and Gene Delivery (6 papers), Reconstructive Surgery and Microvascular Techniques (6 papers), Viral Infectious Diseases and Gene Expression in Insects (4 papers), Peroxisome Proliferator-Activated Receptors (4 papers), Nerve injury and regeneration (3 papers), Bone Metabolism and Diseases (3 papers), Virus-based gene therapy research (3 papers) and Cholesterol and Lipid Metabolism (3 papers). The work is most often cited by research in Physiology (121 citations), Immunology (403 citations), Biochemistry (137 citations), Molecular Biology (1.2k citations) and Biomaterials (230 citations). Andrew Li has collaborated with scholars based in United States, China and Japan. Frequent co-authors include Christopher K. Glass, Wulf Palinski, John S. Welch, Jamila Najïb, Johan Auwerx, Lluís Fajas, Joseph L. Witztum, Mercedes Ricote, Reza Jarrahy and Oswald Quehenberger. Their work appears in journals such as Plastic & Reconstructive Surgery, Annals of Plastic Surgery, International Journal of Medical Sciences, Investigative Ophthalmology & Visual Science and Journal of Tissue Engineering and Regenerative Medicine.

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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