Shuzhao Li

Molecular Biology · 2011–2020

A researcher in the Science corpus: 4 papers; trusts 5 researchers and is trusted by 3 researchers here, as inferred from the citation graph.

Subfields

Whom Shuzhao Li trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

  1. Mark Newman
  2. Giuseppe Gallone
  3. Jianguo Xia
  4. Rima Kaddurah-Daouk
  5. Eugene Melamud
  6. Tobias Kind
  7. Tianwei Yu
  8. Michelle Girvan
  9. Minoru Kanehisa
  10. Hongwu Ma

Who trusts Shuzhao Li overall

  1. Jasmine Chong
  2. David S. Wishart
  3. Zhiqian Pang
  4. Yan V. Sun
  5. Zhiqiang Pang
  6. Alexandra C. Schrimpe-Rutledge
  7. Jianguo Xia
  8. Guangyan Zhou
  9. Yijuan Hu

Papers from Shuzhao Li's perspective

Ordered by how strongly the researchers Shuzhao Li trusts endorse each paper. Same corpus, a different order for every researcher.

  1. From genomics to chemical genomics: new developments in KEGG (Nucleic Acids Res.)
  2. Seven Golden Rules for heuristic filtering of molecular formulas obtained by accurate mass spectrometry (BMC Bioinformatics)
  3. Global reconstruction of the human metabolic network based on genomic and bibliomic data (Proceedings of the National Academy of Sciences of the United States of America)
  4. The MetaCyc database of metabolic pathways and enzymes and the BioCyc collection of pathway/genome databases
  5. XCMS: processing mass spectrometry data for metabolite profiling using nonlinear peak alignment, matching, and identification. (Analytical Chemistry)
  6. Bio::Homology::InterologWalk - A Perl module to build putative protein-protein interaction networks through interolog mapping (BMC Bioinformatics)
  7. HMDB: a knowledgebase for the human metabolome
  8. Metabolomic database annotations via query of elemental compositions: Mass accuracy is insufficient even at less than 1 ppm (BMC Bioinformatics)
  9. The Edinburgh human metabolic network reconstruction and its functional analysis (Molecular Systems Biology)
  10. Modularity and community structure in networks.

Their papers