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How has Daniel G. Tobert's publication output changed over time?
ScholarIQpublication output · 2016–2022
Output grew0% over the shown period — from 1 works in 2016 to 1 in 2022.
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1
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5
1
1
201620172019202020212022
What are the most-cited papers on Daniel G. Tobert?
ScholarIQmost cited works
Adjacent Segment Disease in the Cervical and Lumbar Spine
Daniel G. Tobert, Valentin Antoci, Shaun P. Patel, Ehsan Saadat, Christopher M. Bono
Clinical Spine Surgery A Spine Publication. 2017102 Citations
Predicting prolonged opioid prescriptions in opioid-naïve lumbar spine surgery patients
Aditya V. Karhade, Thomas D. Cha, Harold A. Fogel, Stuart H. Hershman, Daniel G. Tobert, Andrew J. Schoenfeld, Christopher M. Bono, Joseph H. Schwab
The Spine Journal. 201978 Citations
Osteoporosis increases the likelihood of revision surgery following a long spinal fusion for adult spinal deformity
Anmol Gupta, Thomas Cha, Joseph H. Schwab, Harold A. Fogel, Daniel G. Tobert, Afshin E. Razi, Andrew C. Hecht, Christopher M. Bono, Stuart H. Hershman
The Spine Journal. 202074 Citations
Intramedullary Fixation of Metacarpal Fractures Using Headless Compression Screws
Daniel G. Tobert, Melissa Klausmeyer, Chaitanya S. Mudgal
S117581584. 201670 CitationsOPEN ACCESS
Natural language processing for automated detection of incidental durotomy
Aditya V. Karhade, Michiel E. R. Bongers, Olivier Q. Groot, Erick R. Kazarian, Thomas D. Cha, Harold A. Fogel, Stuart H. Hershman, Daniel G. Tobert, Andrew J. Schoenfeld, Christopher M. Bono, James D. Kang, Mitchel B. Harris, Joseph H. Schwab
The Spine Journal. 201968 Citations
Related on ScholarIQ
Harvard University
Institution
Adjacent Segment Disease in the Cervical and Lumbar Spine
Paper
Predicting prolonged opioid prescriptions in opioid-naïve lumbar spine surgery patients
Paper
Osteoporosis increases the likelihood of revision surgery following a long spinal fusion for adult spinal deformity
Paper
Intramedullary Fixation of Metacarpal Fractures Using Headless Compression Screws
Paper
Natural language processing for automated detection of incidental durotomy
Paper