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Janet Zhen

ResearcherPublications, citations & collaboration network

Janet Zhen is a researcher indexed in ScholarIQ from OpenAlex & ORCID. ScholarIQ records 7 works, 226 citations, an h-index of 3 and an i10-index of 2.

7
Works
226
Citations
3
h-index
2
i10-index

How has Janet Zhen's publication output changed over time?

ScholarIQpublication output · 2006–2023

Output grew0% over the shown period — from 1 works in 2006 to 1 in 2023.

1
1
1
3
1
20062007200820222023

What are the most-cited papers on Janet Zhen?

ScholarIQmost cited works
The deformation of flexible PDMS microchannels under a pressure driven flow
Brian Hardy, Kawika Uechi, Janet Zhen, H. Pirouz Kavehpour
S116836101. 2008200 Citations
Contributions of collision rate and collision efficiency to erythrocyte aggregation in postcapillary venules at low flow rates
Sangho Kim, Janet Zhen, Aleksander S. Popel, Marcos Intaglietta, Paul C. Johnson
American Journal of Physiology-Heart and Circulatory Physiology. 200717 Citations
Deep Learning for Detection of Clinical Operations in Robot-Assisted Percutaneous Renal Access
Bulat Ibragimov, Janet Zhen, Elif Ayvali
IEEE Access. 20235 CitationsOPEN ACCESS
PD40-12 ROBOTIC-ASSISTED ELECTROMAGNETIC GUIDANCE MINIMIZES RADIATION EXPOSURE IN GAINING PERCUTANEOUS ACCESS FOR NEPHROLITHOTOMY: A CADAVERIC STUDY WITH NOVICES
Mitchell R. Humphreys, Kevin Wymer, Ben H. Chew, Janet Zhen, Fuad Elkhoury, Sri Sivalingam, Matthew Dunn, Michael S. Borofsky
The Journal of Urology. 20223 Citations
MP14-18 ROBOTIC-ASSISTED ELECTROMAGNETIC GUIDANCE IMPROVES SUCCESS IN GAINING PERCUTANEOUS ACCESS FOR NEPHROLITHOTOMY BY NOVICES
Mitchell R. Humphreys, Kevin Wymer, Ben H. Chew, Janet Zhen, Fuad Elkhoury, Sri Sivalingam, Matthew Dunn, Michael S. Borofsky
The Journal of Urology. 20221 Citations

Related on ScholarIQ

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Institution
The deformation of flexible PDMS microchannels under a pressure driven flow
Paper
Contributions of collision rate and collision efficiency to erythrocyte aggregation in postcapillary venules at low flow rates
Paper
Deep Learning for Detection of Clinical Operations in Robot-Assisted Percutaneous Renal Access
Paper
PD40-12 ROBOTIC-ASSISTED ELECTROMAGNETIC GUIDANCE MINIMIZES RADIATION EXPOSURE IN GAINING PERCUTANEOUS ACCESS FOR NEPHROLITHOTOMY: A CADAVERIC STUDY WITH NOVICES
Paper
MP14-18 ROBOTIC-ASSISTED ELECTROMAGNETIC GUIDANCE IMPROVES SUCCESS IN GAINING PERCUTANEOUS ACCESS FOR NEPHROLITHOTOMY BY NOVICES
Paper
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