Edward Pao

615 citations
11 papers · 315 · h-index 7

Impact in

  • Biophysics top 5%
    • Cell Image Analysis Techniques
    • Microfluidic and Bio-sensing Technologies
    • 3D Printing in Biomedical Research
    • Microfluidic and Capillary Electrophoresis Applications

Papers in

    • Microfluidic and Bio-sensing Technologies 6
    • Nanowire Synthesis and Applications 1
    • Cancer Cells and Metastasis 4
    • CAR-T cell therapy research 1

Edward Pao

11 papers receiving 315 citations

Peers

Edward Pao
Comparison fields: 5 of 56
  • Biophysics 58
  • Biomedical Engineering 177
  • Oncology 91
  • Media Technology 21
  • Cancer Research 30
Replace Michel Nederlof with:
Michel Nederlof United States
Thang L. Nguyen United States
Peter F. Favreau United States
Michael D. Glidden United States
Gangqin Xi China
Edgar Cardenas De La Hoz Belgium
Nicholas L. Calistri United States
Tina Smets Belgium
Annalaura Montella Italy
Jiawen Feng China
Edward Pao relative to Michel Nederlof United States Michel Nederlof's profile →
Citations per field
00.5×4.3×
Michel Nederlof · 1×
Citations per year

Countries citing papers authored by Edward Pao

Since Specialization
Citations

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

Fields of papers citing papers by Edward Pao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

11 of 11 papers shown
#Work
1 202193
2 201784
3 201649
4 201644
5 201815
6 201712
7 20249
8 20233
9 20253
10 20152
11 20161

About Edward Pao

Edward Pao is a scholar working on Biomedical Engineering, Oncology, Molecular Biology, Biophysics and Cancer Research, having authored 11 papers that have together received 315 indexed citations. Recurring topics across this work include Microfluidic and Bio-sensing Technologies (6 papers), Cancer Cells and Metastasis (4 papers), Single-cell and spatial transcriptomics (4 papers), Cancer Genomics and Diagnostics (3 papers), Cell Image Analysis Techniques (3 papers), CAR-T cell therapy research (1 paper), Nanowire Synthesis and Applications (1 paper) and Advanced Fluorescence Microscopy Techniques (1 paper). The work is most often cited by research in Biophysics (58 citations), Biomedical Engineering (177 citations), Oncology (91 citations), Media Technology (21 citations) and Cancer Research (30 citations). Edward Pao has collaborated with scholars based in United States. Frequent co-authors include Dino Di Carlo, Rajan P. Kulkarni, Matthew B. Rettig, Coleman Murray, David Van Valen, Melissa Matsumoto, Elodie Sollier‐Christen, Corinne Renier, William D. Graf and Stefanie S. Jeffrey. Their work appears in journals such as Nature Methods, Cancer Research, SLAS TECHNOLOGY, Cell Systems and npj Precision Oncology.

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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