Michaela Hundertmark

Molecular Biology · 2008–2011

A researcher in the Science corpus: 2 papers; trusts 17 researchers and is trusted by 8 researchers here, as inferred from the citation graph.

Subfields

Whom Michaela Hundertmark trusts overall

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

  1. Tomasz Czechowski
  2. Guillaume Le Blanc
  3. V. Prince
  4. Julie Dawn Thompson
  5. W. Scheible
  6. Amos Bairoch
  7. Philip Zimmermann
  8. Christophe Combet
  9. A. Tunnacliffe
  10. Mark Stitt

Who trusts Michaela Hundertmark overall

  1. A. Tunnacliffe
  2. H. Rihan
  3. D. Hincha
  4. K. Nakashima
  5. O. Leprince
  6. M. Al-Issawi
  7. J. Buitink
  8. Y. Fujita
  9. M. Fuller
  10. S. Toscano

Papers from Michaela Hundertmark's perspective

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

  1. CLUSTAL W: improving the sensitivity of progressive multiple sequence alignment through sequence weighting, position-specific gap penalties and weight matrix choice.
  2. Assumption-free analysis of quantitative real-time polymerase chain reaction (PCR) data. (Neuroscience Letters)
  3. A gene expression map of Arabidopsis thaliana development (Nature Genetics)
  4. Real-time RT-PCR profiling of over 1400 Arabidopsis transcription factors: unprecedented sensitivity reveals novel root- and shoot-specific genes. (The Plant Journal)
  5. GENEVESTIGATOR. Arabidopsis Microarray Database and Analysis Toolbox1[w] (Plant Physiology)
  6. Genome-Wide Reprogramming of Primary and Secondary Metabolism, Protein Synthesis, Cellular Growth Processes, and the Regulatory Infrastructure of Arabidopsis in Response to Nitrogen1[w] (Plant Physiology)
  7. The PROSITE database (Nucleic Acids Res.)
  8. Why are “natively unfolded” proteins unstructured under physiologic conditions? (Proteins: Structure, Function, and Bioinformatics)
  9. The Universal Protein Resource (UniProt)
  10. NPS@: network protein sequence analysis. (TIBS -Trends in Biochemical Sciences. Regular ed)

Their papers