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Michael J. Lynch

ResearcherPublications, citations & collaboration network

Michael J. Lynch is a researcher indexed in ScholarIQ from OpenAlex & ORCID. ScholarIQ records 56 works, 1,392 citations, an h-index of 18 and an i10-index of 27.

56
Works
1,392
Citations
18
h-index
27
i10-index

How has Michael J. Lynch's publication output changed over time?

ScholarIQpublication output · 1992–2019

Output grew300% over the shown period — from 1 works in 1992 to 4 in 2019.

1
1
1
2
1
4
199219972015201720182019

What are the most-cited papers on Michael J. Lynch?

ScholarIQmost cited works
A Machine Learning Algorithm to Predict Severe Sepsis and Septic Shock: Development, Implementation, and Impact on Clinical Practice*
H.M. Giannini, Jennifer C. Ginestra, Corey Chivers, Michael Draugelis, Asaf Hanish, William D. Schweickert, Barry D. Fuchs, L. Meadows, Michael J. Lynch, Patrick J. Donnelly, Kimberly Pavan, Neil O. Fishman, C. William Hanson, Craig A. Umscheid
Critical Care Medicine. 2019268 CitationsOPEN ACCESS
Clinician Perception of a Machine Learning–Based Early Warning System Designed to Predict Severe Sepsis and Septic Shock*
Jennifer C. Ginestra, H.M. Giannini, William D. Schweickert, L. Meadows, Michael J. Lynch, Kimberly Pavan, Corey Chivers, Michael Draugelis, Patrick J. Donnelly, Barry D. Fuchs, Craig A. Umscheid
Critical Care Medicine. 2019163 CitationsOPEN ACCESS
Vaping-associated Acute Lung Injury: A Case Series
G. Triantafyllou, Perry J. Tiberio, Richard H. Zou, Phillip E. Lamberty, Michael J. Lynch, John W. Kreit, Mark T. Gladwin, Alison Morris, Jared Chiarchiaro
S93356601. 2019105 Citations
Newly Emerging Drugs of Abuse and Their Detection Methods
Li Liu, Sarah Wheeler, Raman Venkataramanan, Jacqueline A. Rymer, Anthony F. Pizon, Michael J. Lynch, Kenichi Tamama
S15871148. 201774 CitationsOPEN ACCESS

Related on ScholarIQ

University of Pittsburgh
Institution
A Machine Learning Algorithm to Predict Severe Sepsis and Septic Shock: Development, Implementation, and Impact on Clinical Practice*
Paper
Clinician Perception of a Machine Learning–Based Early Warning System Designed to Predict Severe Sepsis and Septic Shock*
Paper
Vaping-associated Acute Lung Injury: A Case Series
Paper
Proton MRS of human prostatic fluid: Correlations between citrate, spermine, andmyo-inositol levels and changes with disease
Paper
Newly Emerging Drugs of Abuse and Their Detection Methods
Paper
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