World's Best Scientists 2026 revealed!
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Best Female Scientists
2025

D-Index & Metrics

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

Sharmila Majumdar publication distribution in Medicine in 2026

The chart shows the distribution of publications by all Research.com ranked scientists in the field of Medicine in 2026. The highlighted bar marks where Sharmila Majumdar sits on this spectrum.

101–120 publications: 5 scientists 121–140 publications: 26 scientists 141–160 publications: 73 scientists 161–180 publications: 155 scientists 181–200 publications: 230 scientists 201–220 publications: 363 scientists 221–240 publications: 487 scientists 241–260 publications: 545 scientists 261–280 publications: 722 scientists 281–300 publications: 768 scientists 301–320 publications: 834 scientists 321–340 publications: 895 scientists 341–360 publications: 922 scientists 361–380 publications: 838 scientists 381–400 publications: 861 scientists 401–420 publications: 918 scientists 421–440 publications: 806 scientists 441–460 publications: 771 scientists 461–480 publications: 751 scientists 481–500 publications: 713 scientists 501–520 publications: 617 scientists 521–540 publications: 611 scientists 541–560 publications: 537 scientists 561–580 publications: 504 scientists 581–600 publications: 509 scientists 601–620 publications: 396 scientists 621–640 publications: 386 scientists 641–660 publications: 371 scientists 661–680 publications: 340 scientists 681–700 publications: 336 scientists 701–720 publications: 307 scientists 721–740 publications: 259 scientists 741–760 publications: 230 scientists 761–780 publications: 228 scientists 781–800 publications: 217 scientists 801–820 publications: 204 scientists 821–840 publications: 186 scientists 841–860 publications: 177 scientists 861–880 publications: 155 scientists 881–900 publications: 139 scientists 901–920 publications: 145 scientists 921–940 publications: 116 scientists 941–960 publications: 133 scientists 961–980 publications: 91 scientists 981–1,000 publications: 96 scientists 1,001–1,020 publications: 77 scientists 1,021–1,040 publications: 70 scientists 1,041–1,060 publications: 63 scientists 1,061–1,080 publications: 77 scientists 1,081–1,100 publications: 49 scientists 1,101–1,120 publications: 54 scientists 1,121–1,140 publications: 49 scientists 1,141–1,160 publications: 51 scientists 1,161–1,180 publications: 35 scientists 1,181–1,200 publications: 39 scientists 1,201–1,220 publications: 26 scientists 1,221–1,240 publications: 37 scientists 1,241–1,260 publications: 36 scientists 1,261–1,280 publications: 27 scientists 1,281–1,300 publications: 32 scientists 1,301–1,320 publications: 28 scientists 1,321–1,340 publications: 17 scientists 1,341–1,360 publications: 30 scientists 1,361–1,380 publications: 28 scientists 1,381–1,400 publications: 17 scientists 1,401–1,420 publications: 21 scientists 1,421–1,440 publications: 15 scientists 1,441–1,460 publications: 12 scientists 1,461–1,480 publications: 12 scientists 1,481–1,500 publications: 18 scientists 1,501–1,520 publications: 14 scientists 1,521–1,540 publications: 17 scientists 1,541–1,560 publications: 15 scientists 1,561–1,580 publications: 6 scientists 1,581–1,600 publications: 2 scientists 1,601–1,620 publications: 12 scientists 1,621–1,640 publications: 11 scientists 1,641–1,660 publications: 8 scientists 1,661–1,680 publications: 5 scientists 1,681–1,700 publications: 5 scientists 1,701–1,720 publications: 10 scientists 1,721–1,740 publications: 12 scientists 1,741–1,760 publications: 14 scientists 1,761–1,780 publications: 6 scientists 1,781–1,795 publications: 5 scientists 1,796+ publications: 100 scientists
101 publications 1,796+

This scientist: 684 publications — 80th percentile

80% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 1,796 publications or more.

Sharmila Majumdar D-index placement in Medicine in 2026

The chart shows the D-index (discipline H-index) distribution of Medicine scientists ranked by Research.com in 2026. The highlighted bar marks where Sharmila Majumdar sits on this spectrum.

70–71 D-Index: 226 scientists 72–73 D-Index: 391 scientists 74–75 D-Index: 574 scientists 76–77 D-Index: 730 scientists 78–79 D-Index: 891 scientists 80–81 D-Index: 972 scientists 82–83 D-Index: 1,027 scientists 84–85 D-Index: 1,003 scientists 86–87 D-Index: 960 scientists 88–89 D-Index: 970 scientists 90–91 D-Index: 922 scientists 92–93 D-Index: 839 scientists 94–95 D-Index: 808 scientists 96–97 D-Index: 779 scientists 98–99 D-Index: 668 scientists 100–101 D-Index: 611 scientists 102–103 D-Index: 630 scientists 104–105 D-Index: 513 scientists 106–107 D-Index: 541 scientists 108–109 D-Index: 445 scientists 110–111 D-Index: 429 scientists 112–113 D-Index: 400 scientists 114–115 D-Index: 393 scientists 116–117 D-Index: 318 scientists 118–119 D-Index: 302 scientists 120–121 D-Index: 287 scientists 122–123 D-Index: 255 scientists 124–125 D-Index: 256 scientists 126–127 D-Index: 252 scientists 128–129 D-Index: 230 scientists 130–131 D-Index: 179 scientists 132–133 D-Index: 168 scientists 134–135 D-Index: 163 scientists 136–137 D-Index: 159 scientists 138–139 D-Index: 134 scientists 140–141 D-Index: 134 scientists 142–143 D-Index: 118 scientists 144–145 D-Index: 109 scientists 146–147 D-Index: 106 scientists 148–149 D-Index: 74 scientists 150–151 D-Index: 79 scientists 152–153 D-Index: 80 scientists 154–155 D-Index: 87 scientists 156–157 D-Index: 57 scientists 158–159 D-Index: 74 scientists 160–161 D-Index: 69 scientists 162–163 D-Index: 60 scientists 164–165 D-Index: 53 scientists 166–167 D-Index: 39 scientists 168–169 D-Index: 42 scientists 170–171 D-Index: 32 scientists 172–173 D-Index: 39 scientists 174–175 D-Index: 40 scientists 176–177 D-Index: 28 scientists 178–179 D-Index: 19 scientists 180–181 D-Index: 23 scientists 182–183 D-Index: 31 scientists 184–185 D-Index: 18 scientists 186–187 D-Index: 20 scientists 188–189 D-Index: 22 scientists 190–191 D-Index: 13 scientists 192–193 D-Index: 21 scientists 194–195 D-Index: 12 scientists 196–197 D-Index: 12 scientists 198–199 D-Index: 14 scientists 200–201 D-Index: 15 scientists 202–203 D-Index: 13 scientists 204–205 D-Index: 10 scientists 206–207 D-Index: 8 scientists 208–209 D-Index: 4 scientists 210–211 D-Index: 12 scientists 212–213 D-Index: 11 scientists 214–215 D-Index: 10 scientists 216 D-Index: 4 scientists 217+ D-Index: 98 scientists
70 D-Index 217+

This scientist: 121 D-Index — 83rd percentile

83% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 217 D-Index or more.

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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