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Researcher · Michigan State University · United States

Bin Chen

Bin Chen publishes mostly in Molecular Biology, Cancer Research and Oncology, on topics such as Cancer Genomics and Diagnostics, Bioinformatics and Genomic Networks and Cancer-related molecular mechanisms research.

ORCID 0000-0001-8858-874X OpenAlex
World rank
#894,449
of 7,710,434 ranked researchers
Rank in United States
#295,197
of 1,627,098
Works
271
Citations
4.9k
Citations per work
18.1
h-index
39
i10-index 91Top 7.8% in Molecular Biology
Bin Chen

What does Bin Chen research?

Bin Chen's work is mostly in Biochemistry, Genetics and Molecular Biology (32%), Medicine (14%), Computer Science (3%).

Everything else: 137 works · 50.6% of their workLife Sciences: 87 works · 32.0% of their workBiochemistry, Genetics and Molecular Biology: 87 works · 32.0% of their workMolecular Biology: 66 works · 24.2% of their workCancer Research: 21 works · 7.8% of their workHealth Sciences: 39 works · 14.4% of their workMedicine: 39 works · 14.4% of their workOncology: 14 works · 5.2% of their workEpidemiology: 12 works · 4.6% of their workPulmonary and Respiratory Medicine: 12 works · 4.6% of their workPhysical Sciences: 8 works · 3.0% of their workComputer Science: 8 works · 3.0% of their workArtificial Intelligence: 8 works · 3.0% of their workTHEIR WORKBin Chen271works
Life Sciences32%Physical Sciences3%Health Sciences14%

Their six largest subfields, inside their fields and domains; the grey slice is everything else they publish. The interactive view splits every one of their works down to single topics.

The fields and subfields, with their numbers
  1. Everything else13750.6%
    1. Biochemistry, Genetics and Molecular Biology8732.0%
    1. Medicine3914.4%
    1. Computer Science83.0%
  1. 1Molecular Biology24% of their works
  2. 2Cancer Research8% of their works
  3. 3Oncology5% of their works
  4. 4Pulmonary and Respiratory Medicine5% of their works
  5. 5Epidemiology5% of their works
  6. 6Artificial Intelligence3% of their works

Research topics

Which keywords describe Bin Chen's research?

The keywords of their largest research topics: Gene Expression, Cancer, Machine Learning, Data Integration, Cancer Genomics, Gene Set Enrichment Analysis, Mutational Signatures and Protein-Protein Interaction Networks.

Size is their works in the topics tagged with each word, from their 8 largest topics. Each links to the topic it comes from most. The words come from the keyword list OpenAlex gives each topic, not from the text of the papers, so a word can appear that none of the papers uses.

All 20 words, with their numbers
  1. Gene Expression413 topics
  2. Cancer322 topics
  3. Machine Learning302 topics
  4. Data Integration242 topics
  5. Cancer Genomics201 topic
  6. Gene Set Enrichment Analysis201 topic
  7. Mutational Signatures201 topic
  8. Protein-Protein Interaction Networks201 topic
  9. Long Noncoding RNAs191 topic
  10. RNA Regulation191 topic
  11. Data Analysis151 topic
  12. Microarray151 topic
  13. Molecular Docking151 topic
  14. Virtual Screening151 topic
  15. Cell Death131 topic
  16. Ferroptosis131 topic
  17. Single-Cell131 topic
  18. Transcriptomics131 topic
  19. Biomedical Ontologies111 topic
  20. Text Mining111 topic

Where does Bin Chen work?

Bin Chen's main affiliation in the publication record is Michigan State University, United States.

How many publications and citations does Bin Chen have?

OpenAlex counts 271 works and 4,905 citations for Bin Chen, an h-index of 39, ranking #894,449 of 7,710,434 researchers worldwide on the quality score.

Ranked on field-normalised citation 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 Bin Chen

Papers, co-authors, who cited this work and researchers on the nearest topics have tabs of their own, above. Is this your page? Claim it with your ORCID iD, or request a correction or removal.

Discussion

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