Science Explorer Interactive view Map

Feng Shen

Feng Shen publishes mostly in Molecular Biology, Spectroscopy and Biomedical Engineering, on topics such as Protein Structure and Dynamics, Lipid Membrane Structure and Behavior and Advanced Biosensing Techniques and Applications.

World rank
#615,207
of 1,633,909 ranked researchers
Rank in China
#45,001
of 187,979
Works
15
Citations
34
Citations per work
2.3

What does Feng Shen research?

Molecular Biology: 60.0%Spectroscopy: 20.0%Biomedical Engineering: 20.0%60%top field
Molecular Biology60.0%Spectroscopy20.0%Biomedical Engineering20.0%

Shares of their own output, by the field each of their topics belongs to. The grey slice is everything not listed.

  1. 1Molecular Biology60% of their works
  2. 2Spectroscopy20% of their works
  3. 3Biomedical Engineering20% of their works

Research topics

Which keywords describe Feng Shen's research?

The keywords of their largest research topics: High-Throughput Analysis, Lipid Rafts, Mass Spectrometry, Membrane Lipids, Microfluidics, Particle Separation, Protein and Protein Microarrays.

Size is their works in the topics tagged with each word, from their 5 largest topics. Each links to the topic it comes from most.

All 10 words, with their numbers
  1. High-Throughput Analysis11 topic
  2. Lipid Rafts11 topic
  3. Mass Spectrometry11 topic
  4. Membrane Lipids11 topic
  5. Microfluidics11 topic
  6. Particle Separation11 topic
  7. Protein11 topic
  8. Protein Microarrays11 topic
  9. Proteomics11 topic
  10. Structure11 topic

Where does Feng Shen work?

Feng Shen's main affiliation in the publication record is Shanghai Jiao Tong University, China.

How many publications and citations does Feng Shen have?

Science Explorer counts 15 works and 34 citations for Feng Shen, ranking #615,207 of 1,633,909 researchers worldwide on the composite score.

Ranked on field-normalised excellence (50%), output (30%) and citations (20%). Counts come from OpenAlex author records, which occasionally merge different people who share a name or split one person into several.

Other researchers named Feng Shen

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