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Best Female Scientists
2025

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Best Female Scientists

D-Index
119
Citations
44167
World Ranking
597
National Ranking
361

Medicine

D-Index
121
Citations
45957
World Ranking
3641
National Ranking
2012

Research.com Recognitions

  • 2025 - Research.com Best Female Scientists Award

Overview

Sharmila Majumdar is affiliated with the University of California, San Francisco in the United States. Their research focuses predominantly on the field of medicine, with significant contributions to subfields such as surgery, rheumatology, biomedical engineering, radiology, nuclear medicine and imaging, and orthopedics and sports medicine.

The topics central to their work include:

  • Osteoarthritis Treatment and Mechanisms
  • Lower Extremity Biomechanics and Pathologies
  • Total Knee Arthroplasty Outcomes
  • Knee injuries and reconstruction techniques
  • Hip disorders and treatments
  • Medical Imaging and Analysis
  • Shoulder Injury and Treatment

Much of Majumdar's research has been published in various venues, notably:

  • Proceedings on CD-ROM - International Society for Magnetic Resonance in Medicine. Scientific Meeting and Exhibition/Proceedings of the International Society for Magnetic Resonance in Medicine, Scientific Meeting and Exhibition
  • Osteoarthritis and Cartilage
  • Journal of Orthopaedic Research®
  • Journal of Magnetic Resonance Imaging
  • arXiv (Cornell University)

Frequent collaborators in their research include Valentina Pedoia, Richard B. Souza, Thomas M. Link, and Rupsa Bhattacharjee.

Selected recent publications by Sharmila Majumdar and co-authors include:

  • Congestion prediction for smart sustainable cities using IoT and machine learning approaches, 2020, Sustainable Cities and Society
  • Automatic Deep Learning-assisted Detection and Grading of Abnormalities in Knee MRI Studies, 2021, Radiology Artificial Intelligence
  • Deep Learning for Hierarchical Severity Staging of Anterior Cruciate Ligament Injuries from MRI, 2020, Radiology Artificial Intelligence
  • Learning osteoarthritis imaging biomarkers from bone surface spherical encoding, 2020, Magnetic Resonance in Medicine
  • Erratum: Automatic Deep Learning-assisted Detection and Grading of Abnormalities in Knee MRI Studies, 2021, Radiology Artificial Intelligence

Best Publications

  • Noninvasive assessment of bone mineral and structure: state of the art.

    Harry K. Genant;Klaus Engelke;Thomas Fuerst;Claus-C. Glüer

  • T2 Relaxation Time of Cartilage at MR Imaging: Comparison with Severity of Knee Osteoarthritis

    Timothy C. Dunn;Ying Lu;Hua Jin;Michael D. Ries

  • Federated learning for predicting clinical outcomes in patients with COVID-19.

    Ittai Dayan;Holger R. Roth;Aoxiao Zhong;Ahmed Harouni

  • Correlation of trabecular bone structure with age, bone mineral density, and osteoporotic status: in vivo studies in the distal radius using high resolution magnetic resonance imaging.

    S. Majumdar;H. K. Genant;S. Grampp;D. C. Newitt

  • Osteoarthritis: MR imaging findings in different stages of disease and correlation with clinical findings.

    Thomas M. Link;Lynne S. Steinbach;Srinka Ghosh;Michael Ries

  • Quantification of articular cartilage in the knee with pulsed saturation transfer subtraction and fat-suppressed MR imaging: optimization and validation.

    C. G. Peterfy;C. F. Van Dijke;D. L. Janzen;C. C. Glüer

  • In vivo T1ρ and T2 mapping of articular cartilage in osteoarthritis of the knee using 3 T MRI

    Xiaojuan Li;C. Benjamin Ma;Thomas M. Link;Darwin-Dean Castillo

  • The immunomodulatory adapter proteins DAP12 and Fc receptor γ-chain (FcRγ) regulate development of functional osteoclasts through the Syk tyrosine kinase

    Attila Mócsai;Mary Beth Humphrey;Jessica A. G. Van Ziffle;Yongmei Hu

  • High-Resolution Peripheral Quantitative Computed Tomographic Imaging of Cortical and Trabecular Bone Microarchitecture in Patients with Type 2 Diabetes Mellitus

    Andrew J. Burghardt;Ahi S. Issever;Ahi S. Issever;Ann V. Schwartz;Kevin A. Davis

  • Reproducibility of direct quantitative measures of cortical bone microarchitecture of the distal radius and tibia by HR-pQCT ☆

    Andrew J. Burghardt;Helen R. Buie;Andres Laib;Sharmila Majumdar

  • High-Resolution Magnetic Resonance Imaging: Three-Dimensional Trabecular Bone Architecture and Biomechanical Properties

    S. Majumdar;M. Kothari;P. Augat;D.C. Newitt

  • Use of 2D U-Net Convolutional Neural Networks for Automated Cartilage and Meniscus Segmentation of Knee MR Imaging Data to Determine Relaxometry and Morphometry

    Berk Norman;Valentina Pedoia;Sharmila Majumdar

  • Age- and gender-related differences in the geometric properties and biomechanical significance of intracortical porosity in the distal radius and tibia.

    Andrew J Burghardt;Galateia J Kazakia;Sweta Ramachandran;Thomas M Link

  • The treatment mechanism of an interspinous process implant for lumbar neurogenic intermittent claudication

    Joshua C Richards;Sharmila Majumdar;Derek P Lindsey;Gary S Beaupré

  • In Vivo High Resolution MRI of the Calcaneus: Differences in Trabecular Structure in Osteoporosis Patients

    Thomas M. Link;Thomas M. Link;Sharmila Majumdar;Peter Augat;John C. Lin

  • Insulin‐Like Growth Factor I Is Required for the Anabolic Actions of Parathyroid Hormone on Mouse Bone

    Daniel D. Bikle;Takeshi Sakata;Colin Leary;Hashem Elalieh

  • Osteoarthritis of the knee: comparison of radiography, CT, and MR imaging to assess extent and severity.

    Wing P. Chan;P. Lang;M. P. Stevens;K. Sack

  • High-resolution Computed Tomography for Clinical Imaging of Bone Microarchitecture

    Andrew J. Burghardt;Thomas M. Link;Sharmila Majumdar

  • A farnesyltransferase inhibitor improves disease phenotypes in mice with a Hutchinson-Gilford progeria syndrome mutation

    Shao H. Yang;Margarita Meta;Xin Qiao;David Frost

  • Microarchitectural deterioration of cortical and trabecular bone: differing effects of denosumab and alendronate.

    Ego Seeman;Pierre D Delmas;David A Hanley;Deborah Sellmeyer

Frequent Co-Authors

Thomas M. Link
Thomas M. Link University of California, San Francisco
Harry K. Genant
Harry K. Genant University of California, San Francisco
Ying Lu
Ying Lu Stanford University
Peter Augat
Peter Augat Paracelsus Medical University
Felix Eckstein
Felix Eckstein Paracelsus Medical University
Daniel B. Vigneron
Daniel B. Vigneron University of California, San Francisco
Klaus Engelke
Klaus Engelke University of Erlangen-Nuremberg
John C. Gore
John C. Gore Vanderbilt University Medical Center
Sarah J. Nelson
Sarah J. Nelson University of California, San Francisco
Nancy E. Lane
Nancy E. Lane University of California, Davis

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