A. Jumpponen

Plant Science · 2000–2018

A researcher in the Science corpus: 18 papers; trusts 18 researchers and is trusted by 31 researchers here, as inferred from the citation graph.

Subfields

Whom A. Jumpponen trusts overall

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

  1. Rien Aerts
  2. T. Helgason
  3. B. Caldwell
  4. E. Lilleskov
  5. Marti J. Anderson
  6. Johnw. G. Cairney
  7. Qiong Wang
  8. N. Johnson

Who trusts A. Jumpponen overall

  1. B. Schulz
  2. Andrea Porras‐Alfaro
  3. K. Newsham
  4. P. Bayman
  5. E. Terhonen
  6. K. Mandyam
  7. R. Peterson
  8. O. Alberton
  9. Melanie D. Jones
  10. A. Arnold

Papers from A. Jumpponen's perspective

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

  1. Introducing mothur: Open-Source, Platform-Independent, Community-Supported Software for Describing and Comparing Microbial Communities (Applied and Environmental Microbiology)
  2. Gapped BLAST and PSI-BLAST: a new generation of protein database search programs.
  3. QIIME allows analysis of high-throughput community sequencing data (Nature Methods)
  4. Removing Noise From Pyrosequenced Amplicons (BMC Bioinformatics)
  5. The molecular revolution in ectomycorrhizal ecology: peeking into the black‐box (Molecular Ecology)
  6. Selectivity and functional diversity in arbuscular mycorrhizas of co‐occurring fungi and plants from a temperate deciduous woodland
  7. Ecological Linkages Between Aboveground and Belowground Biota (Science)
  8. Nuclear ribosomal internal transcribed spacer (ITS) region as a universal DNA barcode marker for Fungi (Proceedings of the National Academy of Sciences of the United States of America)
  9. Development of a Dual-Index Sequencing Strategy and Curation Pipeline for Analyzing Amplicon Sequence Data on the MiSeq Illumina Sequencing Platform (Applied and Environmental Microbiology)
  10. ITS as an environmental DNA barcode for fungi: an in silico approach reveals potential PCR biases (BMC Microbiology)

Their papers