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PubMed Central
Other literature type . 2005
Data sources: PubMed Central
The Journal of Experimental Medicine
Article . 2005 . Peer-reviewed
Data sources: Crossref
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Discovering lymphocyte subsets

Authors: Van Epps, Heather L.;

Discovering lymphocyte subsets

Abstract

At a scientific meeting in 1968, Jacques Miller was accused of complicating immunology. He and others suggested that there was not one but two kinds of lymphocytes—one from the thymus and one from the bone marrow. In a pair of groundbreaking articles published in the Journal of Experimental Medicine in 1968, Miller and his student Graham Mitchell proved that two subsets of lymphocytes did exist and identified which subset mediated antibody responses.

Keywords

From the Archive, Bone Marrow, Allergy and Immunology, Antibody Formation, Thymus Gland, History, 20th Century, Lymphocyte Subsets

  • BIP!
    Impact byBIP!
    selected citations
    These citations are derived from selected sources.
    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    5
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Average
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Average
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Average
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
5
Average
Average
Average
Green
bronze