J. Lebowitz

Protein Science · 2002

A researcher in the Science corpus: 1 paper; trusts 1 researcher and is trusted by 9 researchers here, as inferred from the citation graph.

Whom J. Lebowitz trusts overall

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

  1. Peter Schuck
  2. Matthew A. Perugini

Who trusts J. Lebowitz overall

  1. Peter Schuck
  2. Lance M. Hellman
  3. Po-Ssu Huang
  4. H. Fischer
  5. Hanns-Christian Mahler
  6. M. Fried
  7. John James Love
  8. Igor Polikarpov
  9. W. Friess

Papers from J. Lebowitz's perspective

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

  1. Size-distribution analysis of proteins by analytical ultracentrifugation: strategies and application to model systems. (Biophysical Journal)
  2. Interaction of membrane proteins and lipids with solubilizing detergents. (Biochimica et Biophysica Acta)
  3. Size-distribution analysis of macromolecules by sedimentation velocity ultracentrifugation and lamm equation modeling. (Biophysical Journal)
  4. Modern analytical ultracentrifugation in protein science: A tutorial review (Protein Science)
  5. On the analysis of protein self-association by sedimentation velocity analytical ultracentrifugation. (Analytical Biochemistry)
  6. Signal transduction mediated by the T cell antigen receptor: the role of adapter proteins. (Annual Review of Immunology)
  7. Rapid measurement of binding constants and heats of binding using a new titration calorimeter.
  8. Sedimentation equilibrium analysis of protein interactions with global implicit mass conservation constraints and systematic noise decomposition. (Analytical Biochemistry)
  9. Calculation of hydrodynamic properties of globular proteins from their atomic-level structure. (Biophysical Journal)
  10. Studying multisite binary and ternary protein interactions by global analysis of isothermal titration calorimetry data in SEDPHAT: Application to adaptor protein complexes in cell signaling (Protein Science)

Their papers