Brian Li

504 citations
17 papers · 386 · h-index 10

Impact in

    • Pickering emulsions and particle stabilization
    • Microfluidic and Bio-sensing Technologies
    • Microfluidic and Capillary Electrophoresis Applications
    • 3D Printing in Biomedical Research

Papers in

    • Lipid Membrane Structure and Behavior 2
    • Metabolomics and Mass Spectrometry Studies 2
    • Microfluidic and Bio-sensing Technologies 3
    • Nanopore and Nanochannel Transport Studies 2
    • 3D Printing in Biomedical Research 2

Brian Li

14 papers receiving 385 citations

Peers

Brian Li
Comparison fields: 5 of 73
  • Materials Chemistry 120
  • Biomedical Engineering 111
  • Cancer Research 38
  • Food Science 45
  • Molecular Biology 164
Replace Kathleen D. Cao with:
Kathleen D. Cao United States
Chen‐Yuan Dong Taiwan
Jianghua Hu China
Yifan Zhao China
Yijia Zhang China
Nisha Pawar India
Kevin B. Vargo United States
Jia Yuan China
Inseong Hwang South Korea
Yuki Fukuda Japan
Brian Li relative to Kathleen D. Cao United States Kathleen D. Cao's profile →
Citations per field
00.5×4.8×
Kathleen D. Cao · 1×
Citations per year

Countries citing papers authored by Brian Li

Since Specialization
Citations

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

Fields of papers citing papers by Brian Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

17 of 17 papers shown
#Work
1 201774
2 201567
3 201852
4 201638
5 202337
6 201630
7 201828
8 201916
9 201815
10 202113
11 20225
12 20215
13 20193
14 20153
15 20250
16 20220
17 20210

About Brian Li

Brian Li is a scholar working on Molecular Biology, Biomedical Engineering, Cell Biology, Cancer Research and Clinical Biochemistry, having authored 17 papers that have together received 386 indexed citations. Recurring topics across this work include Microfluidic and Bio-sensing Technologies (3 papers), Metabolism and Genetic Disorders (2 papers), Lipid Membrane Structure and Behavior (2 papers), Nanopore and Nanochannel Transport Studies (2 papers), Cancer-related molecular mechanisms research (2 papers), Metabolomics and Mass Spectrometry Studies (2 papers), 3D Printing in Biomedical Research (2 papers) and Cellular Mechanics and Interactions (2 papers). The work is most often cited by research in Materials Chemistry (120 citations), Biomedical Engineering (111 citations), Cancer Research (38 citations), Food Science (45 citations) and Molecular Biology (164 citations). Brian Li has collaborated with scholars based in United States, Canada and China. Frequent co-authors include Steven Crossley, Clint P. Aichele, Nicholas M. Briggs, Lydia L. Sohn, Jeanne C. Stachowiak, David J. Busch, Deepika Venkataramani, Jeffrey H. Harwell, Lawrence Barrett and Avinash K. Gadok. Their work appears in journals such as iScience, Nature Methods, Scientific Reports, Colloids and Surfaces A Physicochemical and Engineering Aspects and Journal of the American Chemical Society.

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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