J. Gan

Environmental Chemistry · with Shi · 2016–2020

A researcher in the Science corpus: 2 papers; trusts 1 researcher and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom J. Gan trusts

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

  1. Mohammad Sohel Rahman (in Atmospheric Science)

Papers from J. Gan's perspective

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

  1. Perfluorooctanesulfonate and related fluorochemicals in human blood from several countries. (Environmental Science and Technology)
  2. A Review of the Pathways of Human Exposure to Poly- and Perfluoroalkyl Substances (PFASs) and Present Understanding of Health Effects (Journal of Exposure Science and Environmental Epidemiology)
  3. Review of 'emerging' organic contaminants in biosolids and assessment of international research priorities for the agricultural use of biosolids. (Environment International)
  4. Perfluoroalkyl and Polyfluoroalkyl Substances in the Environment: Terminology, Classification, and Origins (Integrated Environmental Assessment and Management)
  5. Behaviour and fate of perfluoroalkyl and polyfluoroalkyl substances (PFASs) in drinking water treatment: a review. (Water Research)
  6. Half-Life of Serum Elimination of Perfluorooctanesulfonate,Perfluorohexanesulfonate, and Perfluorooctanoate in Retired Fluorochemical Production Workers (Environmental Health Perspectives)
  7. Are PFCAs bioaccumulative? A critical review and comparison with regulatory criteria and persistent lipophilic compounds. (Environmental Science and Technology)
  8. Biological monitoring of polyfluoroalkyl substances: A review. (Environmental Science and Technology)
  9. Skin lesion analysis toward melanoma detection: A challenge at the 2017 International symposium on biomedical imaging (ISBI), hosted by the international skin imaging collaboration (ISIC)
  10. OverFeat: Integrated Recognition, Localization and Detection using Convolutional Networks

Their papers