A. Kamoshita

Plant Science · 2000–2008

A researcher in the Science corpus: 6 papers; trusts 5 researchers and is trusted by 6 researchers here, as inferred from the citation graph.

Subfields

Whom A. Kamoshita trusts overall

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

  1. S. Fukai
  2. Len J. Wade
  3. H. Lafitte
  4. A. Yamauchi
  5. Mark Cooper
  6. Brigitte Courtois
  7. R. C. Babu
  8. Susan McCouch
  9. G. Atlin
  10. Yoichiro Kato

Who trusts A. Kamoshita overall

  1. M. Ashraf
  2. A. Yamauchi
  3. Hong Wang
  4. Muhammad Farooq
  5. Veeresh R. P. Gowda
  6. Arvind Kumar
  7. Yoichiro Kato
  8. R. Serraj
  9. N. Sandhu
  10. Len J. Wade

Papers from A. Kamoshita's perspective

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

  1. Upland rice grown in soil-filled chambers and exposed to contrasting water-deficit regimes: II. Mapping quantitative trait loci for root morphology and distribution
  2. Genetic analysis of drought resistance in rice by molecular markers: association between secondary traits and field performance
  3. Improvement of rice drought tolerance through backcross breeding: Evaluation of donors and selection in drought nurseries
  4. Developing rice cultivars for high-fertility upland systems in the Asian tropics
  5. Locating QTLs controlling constitutive root traits in the rice population IAC 165 × Co39 (Euphytica)
  6. Genotypic Variation in Response of Rainfed Lowland Rice to Drought and Rewatering
  7. Locating genomic regions associated with components of drought resistance in rice: comparative mapping within and across species (Theoretical and Applied Genetics)
  8. Development and mapping of 2240 new SSR markers for rice (Oryza sativa L.). (DNA Research)
  9. Trehalose accumulation in rice plants confers high tolerance levels to different abiotic stresses (Proceedings of the National Academy of Sciences of the United States of America)
  10. Molecular marker assisted tagging of morphological and physiological traits under two contrasting moisture regimes at peak vegetative stage in rice (Oryza sativa L.) (Euphytica)

Their papers