Phoebe Li

31 papers receiving 285 citations

Peers

Phoebe Li
Comparison fields: 5 of 97
  • Health Informatics 25
  • Automotive Engineering 77
  • Biomedical Engineering 132
  • Physiology 56
  • Management of Technology and Innovation 8
Replace Saurabh Rawat with:
Saurabh Rawat India
Jordi Colomer‐Farrarons Spain
You You China
V. Miskovic Italy
Hong-En Chen United States
Weiqiu Jin China
Julien Meyer Canada
Xinyu Qi China
Vishwanath Gurumurthy Saudi Arabia
Phoebe Li relative to Saurabh Rawat India Saurabh Rawat's profile →
Citations per field
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Saurabh Rawat · 1×
Citations per year

Countries citing papers authored by Phoebe Li

Since Specialization
Citations

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

Fields of papers citing papers by Phoebe Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 33 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200934
2 202333
3 202027
4
3D bioprinting technologies: patents, innovation and access
201425
5 201724
6 202318
7 201015
8 200513
9 202013
10 202312
11 202312
12 20249
13 20209
14 20218
15 20216
16 20004
17 20234
18 20144
19 20224
20 20204

About Phoebe Li

Phoebe Li is a scholar working on Physiology, Biomedical Engineering, Molecular Biology, Artificial Intelligence and Surgery, having authored 33 papers that have together received 294 indexed citations. Recurring topics across this work include Biomedical Ethics and Regulation (13 papers), Law, AI, and Intellectual Property (8 papers), 3D Printing in Biomedical Research (5 papers), Artificial Intelligence in Healthcare and Education (4 papers), Additive Manufacturing and 3D Printing Technologies (4 papers), Advanced biosensing and bioanalysis techniques (3 papers), Intellectual Property and Patents (3 papers) and CRISPR and Genetic Engineering (3 papers). The work is most often cited by research in Health Informatics (25 citations), Automotive Engineering (77 citations), Biomedical Engineering (132 citations), Physiology (56 citations) and Management of Technology and Innovation (8 citations). Phoebe Li has collaborated with scholars based in United Kingdom, United States and Netherlands. Frequent co-authors include Alex Faulkner, Christopher L. Stender, Teri W. Odom, Stephen Gilbert, Stuart Anderson, Robin Williams, Nicholas Medcalf, Jeremy Barton, Tom Melvin and James W. Chu. Their work appears in journals such as Journal of Law and the Biosciences, Law Innovation and Technology, International Review of Law Computers & Technology, European Journal of Risk Regulation and The Journal of World Intellectual Property.

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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