World's Best Scientists 2026 revealed!

D-Index & Metrics

Medicine

D-Index
80
Citations
19255
World Ranking
17288
National Ranking
8664

Mark A. Helvie 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 Mark A. Helvie 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: 321 publications — 21st percentile

21% of scientists in this discipline score the same or lower.

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

Mark A. Helvie 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 Mark A. Helvie 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: 80 D-Index — 16th percentile

16% of scientists in this discipline score the same or lower.

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

Overview

Mark A. Helvie is affiliated with the University of Michigan-Ann Arbor in the United States. Their research spans multiple disciplines with a primary focus on Medicine and Computer Science, covering 31 and 12 publications respectively. Their work intersects several subfields, including Radiology, Nuclear Medicine and Imaging, Oncology, Artificial Intelligence, Pulmonary and Respiratory Medicine, and Cancer Research.

The scientist's research covers a range of topics, prominently featuring AI in cancer detection, global cancer incidence and screening, digital radiography and breast imaging, breast cancer treatment studies, radiomics and machine learning in medical imaging, medical imaging techniques and applications, and cervical cancer and HPV research.

Frequent publication venues for the scientist include Radiology, Academic Radiology, Medical Imaging 2020: Computer-Aided Diagnosis, Medical Physics, and the American Journal of Roentgenology.

Among their recent papers are:

  • NCCN Guidelines® Insights: Breast Cancer Screening and Diagnosis, Version 1.2023, 2023, Journal of the National Comprehensive Cancer Network
  • Breast Cancer Mortality Rates Have Stopped Declining in U.S. Women Younger than 40 Years, 2021, Radiology
  • Explainable AI for medical imaging: deep-learning CNN ensemble for classification of estrogen receptor status from breast MRI, 2020, Medical Imaging 2020: Computer-Aided Diagnosis
  • Breast cancer screening in average and high-risk women, 2021, Best Practice & Research Clinical Obstetrics & Gynaecology
  • Generalization error analysis for deep convolutional neural network with transfer learning in breast cancer diagnosis, 2020, Physics in Medicine and Biology

Notable frequent coauthors include Heang-Ping Chan, Colleen H. Neal, Lubomir M. Hadjiiski, Ravi K. Samala, and Wahida Rahman, reflecting collaborative work in related areas of medical imaging and cancer research.

Best Publications

  • Metabolic monitoring of breast cancer chemohormonotherapy using positron emission tomography: initial evaluation.

    Richard L. Wahl;Ken Zasadny;Mark Helvie;Gary D. Hutchins

  • Classification of mass and normal breast tissue: a convolution neural network classifier with spatial domain and texture images

    B. Sahiner;Heang-Ping Chan;N. Petrick;Datong Wei

  • Breast cancer screening and diagnosis: Clinical practice guidelines in oncology™

    Therese B. Bevers;Benjamin O. Anderson;Ermelinda Bonaccio;Patrick I. Borgen

  • Breast Cancer Screening and Diagnosis

    Therese B. Bevers;Benjamin O. Anderson;Ermelinda Bonaccio;Sandra Buys

  • Breast Cancer Screening and Diagnosis, Version 3.2018, NCCN Clinical Practice Guidelines in Oncology.

    Therese B. Bevers;Mark Helvie;Ermelinda Bonaccio;Kristine E. Calhoun

  • Improvement of radiologists' characterization of mammographic masses by using computer-aided diagnosis: an ROC study.

    Heang-Ping Chan;Berkman Sahiner;Mark A. Helvie;Nicholas Petrick

  • Changes in surgical management resulting from case review at a breast cancer multidisciplinary tumor board

    Erika A. Newman;Amy B. Guest;Mark A. Helvie;Marilyn A. Roubidoux

  • Computer-aided classification of mammographic masses and normal tissue: linear discriminant analysis in texture feature space

    Heang-Ping Chan;Datong Wei;Mark A. Helvie;Berkman Sahiner

  • Computerized analysis of mammographic microcalcifications in morphological and texture feature spaces

    Heang Ping Chan;Berkman Sahiner;Kwok Leung Lam;Nicholas Petrick

  • Computerized characterization of masses on mammograms: The rubber band straightening transform and texture analysis

    Berkman Sahiner;Heang Ping Chan;Nicholas Petrick;Mark A. Helvie

  • Computer-aided detection of mammographic microcalcifications: Pattern recognition with an artificial neural network

    Heang Ping Chan;Shih Chung B. Lo;Berkman Sahiner;Kwok Leung Lam

  • Mass detection in digital breast tomosynthesis: Deep convolutional neural network with transfer learning from mammography

    Ravi K. Samala;Heang Ping Chan;Lubomir Hadjiiski;Mark A. Helvie

  • Computerized image analysis: estimation of breast density on mammograms.

    Chuan Zhou;Heang-Ping Chan;Nicholas Petrick;Mark A. Helvie

  • Breast Cancer Screening for Average-Risk Women: Recommendations From the ACR Commission on Breast Imaging

    Debra L. Monticciolo;Mary S. Newell;R. Edward Hendrick;Mark A. Helvie

  • Improvement of mammographic mass characterization using spiculation measures and morphological features

    Berkman Sahiner;Heang-Ping Chan;Nicholas Petrick;Mark A. Helvie

  • Digital mammography imaging: breast tomosynthesis and advanced applications.

    Mark A. Helvie

  • Computer-aided characterization of mammographic masses: accuracy of mass segmentation and its effects on characterization

    B. Sahiner;N. Petrick;Heang-Ping Chan;L.M. Hadjiiski

  • Multi-task transfer learning deep convolutional neural network: application to computer-aided diagnosis of breast cancer on mammograms.

    Ravi K. Samala;Heang Ping Chan;Lubomir M. Hadjiiski;Mark A. Helvie

  • Lobular Carcinoma in Situ or Atypical Lobular Hyperplasia at Core-Needle Biopsy: Is Excisional Biopsy Necessary?

    Michelle C. Foster;Mark A. Helvie;Nancy E. Gregory;Murray Rebner

  • Dual system approach to computerâ aided detection of breast masses on mammograms

    Jun Wei;Heang‐ping Chan;Berkman Sahiner;Lubomir M. Hadjiiski

Frequent Co-Authors

Heang Ping Chan
Heang Ping Chan University of Michigan–Ann Arbor
Lubomir M. Hadjiiski
Lubomir M. Hadjiiski University of Michigan–Ann Arbor
Berkman Sahiner
Berkman Sahiner United States Food and Drug Administration
Jun Wei
Jun Wei Harbin Institute of Technology
Nicholas Petrick
Nicholas Petrick US Food and Drug Administration
Paul L. Carson
Paul L. Carson University of Michigan–Ann Arbor
Thomas L. Chenevert
Thomas L. Chenevert University of Michigan–Ann Arbor
Alfred E. Chang
Alfred E. Chang University of Michigan–Ann Arbor
Lori J. Pierce
Lori J. Pierce University of Michigan–Ann Arbor
Celina G. Kleer
Celina G. Kleer University of Michigan–Ann Arbor

If you think any of the details on this page are incorrect, let us know.

Report an issue

We appreciate your kind effort to assist us to improve this page, it would be helpful providing us with as much detail as possible in the text box below:

Related Online Degrees & Career Pathways

If you're interested in the broader field of healthcare beyond a traditional MD, there are a variety of online degree options and career pathways to consider. Many roles in healthcare offer rewarding opportunities and can be accessed through flexible, affordable online programs.

For those looking to join the pharmaceutical industry, pursuing an online pharmacy degree can prepare you for a dynamic career as a pharmacist. Alternatively, students who prefer working with healthcare data and systems may benefit from one of the many online rhit degree programs available, which focus on health information management and data security.

If you are interested in the administrative side of healthcare, a medical billing and coding certification online can equip you with specialized skills that are in high demand in hospitals and clinics nationwide. Aspiring nurses can take advantage of cheapest fnp programs online to become family nurse practitioners and provide a higher level of patient care.

These alternative pathways allow students to enter the healthcare workforce more quickly and with greater flexibility, making them a practical option for many individuals passionate about medicine and patient care.

Best Scientists Citing Mark A. Helvie

Trending Scientists

Recently Published Articles