World's Best Scientists 2026 revealed!

D-Index & Metrics

Medicine

D-Index
87
Citations
35168
World Ranking
13476
National Ranking
6852

Heber MacMahon 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 Heber MacMahon 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: 358 publications — 29th percentile

29% of scientists in this discipline score the same or lower.

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

Heber MacMahon 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 Heber MacMahon 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: 87 D-Index — 34th percentile

34% of scientists in this discipline score the same or lower.

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

Overview

Heber MacMahon is affiliated with the University of Chicago in the United States. Their research primarily focuses on medicine, with significant contributions in the fields of pulmonary and respiratory medicine, radiology, nuclear medicine and imaging, otorhinolaryngology, and oncology.

The scientist has concentrated on topics including lung cancer diagnosis and treatment, radiomics and machine learning in medical imaging, head and neck cancer studies, COVID-19 diagnosis using artificial intelligence, radiation dose and imaging, radiology practices and education, as well as pleural and pulmonary diseases.

Heber MacMahon has collaborated frequently with several coauthors, notably David P. Naidich, Charles S. White, Kwun M. Fong, Ella A. Kazerooni, and Peter J. Mazzone.

Their recent papers include:

  • "Fleischner Society: Glossary of Terms for Thoracic Imaging" (2024) published in Radiology
  • "Management of Lung Nodules and Lung Cancer Screening During the COVID-19 Pandemic" (2020) published in CHEST Journal
  • "IASLC Lung Cancer Staging Project: The New Database to Inform Revisions in the Ninth Edition of the TNM Classification of Lung Cancer" (2023) published in Journal of Thoracic Oncology
  • "Managing Incidental Findings on Thoracic CT: Lung Findings. A White Paper of the ACR Incidental Findings Committee" (2021) published in Journal of the American College of Radiology
  • "Management of Lung Nodules and Lung Cancer Screening During the COVID-19 Pandemic" (2020) published in Journal of the American College of Radiology

Heber MacMahon has published multiple articles in notable venues such as CHEST Journal, Journal of the American College of Radiology, Radiology, Journal of Thoracic Oncology, and Radiology Imaging Cancer. Their work spans diagnoses, treatment protocols, imaging standards, and clinical management related to thoracic diseases and oncology.

Best Publications

  • Fleischner Society: Glossary of Terms for Thoracic Imaging

    David M Hansell;Alexander A Bankier;Heber MacMahon;Theresa C McLoud

  • The Lung Image Database Consortium (LIDC) and Image Database Resource Initiative (IDRI): a completed reference database of lung nodules on CT scans.

    Samuel G. Armato;Geoffrey McLennan;Luc Bidaut;Michael F. McNitt-Gray

  • Guidelines for Management of Incidental Pulmonary Nodules Detected on CT Images: From the Fleischner Society 2017

    Heber MacMahon;David P. Naidich;Jin Mo Goo;Kyung Soo Lee

  • Guidelines for Management of Small Pulmonary Nodules Detected on CT Scans: A Statement from the Fleischner Society

    Heber MacMahon;John H. M. Austin;Gordon Gamsu;Christian J. Herold

  • Recommendations for the Management of Subsolid Pulmonary Nodules Detected at CT: A Statement from the Fleischner Society

    David P. Naidich;Alexander A. Bankier;Heber MacMahon;Cornelia M. Schaefer-Prokop

  • The IASLC Lung Cancer Staging Project: Proposals for Coding T Categories for Subsolid Nodules and Assessment of Tumor Size in Part-Solid Tumors in the Forthcoming Eighth Edition of the TNM Classification of Lung Cancer

    William D. Travis;Hisao Asamura;Alexander A. Bankier;Mary Beth Beasley

  • The American Association for Thoracic Surgery guidelines for lung cancer screening using low-dose computed tomography scans for lung cancer survivors and other high-risk groups

    Michael T. Jaklitsch;Francine L. Jacobson;John H.M. Austin;John K. Field

  • Image feature analysis and computer-aided diagnosis in digital radiography. I. Automated detection of microcalcifications in mammography

    Heang Ping Chan;Kunio Doi;Simranjit Galhotra;Carl J. Vyborny

  • Computerized Detection of Pulmonary Nodules on CT Scans

    Samuel G. Armato;Maryellen L. Giger;Catherine J. Moran;James T. Blackburn

  • Improvement in radiologists' detection of clustered microcalcifications on mammograms. The potential of computer-aided diagnosis.

    H P Chan;K Doi;C J Vyborny;R A Schmidt

  • Lung image database consortium: developing a resource for the medical imaging research community.

    Samuel G. Armato;Geoffrey McLennan;Michael F. McNitt-Gray;Charles R. Meyer

  • Image feature analysis and computer-aided diagnosis in digital radiography. 3. Automated detection of nodules in peripheral lung fields.

    Maryellen Lissak Giger;Kunio Doi;Heber MacMahon

  • Malignant versus benign nodules at CT screening for lung cancer: comparison of thin-section CT findings

    Feng Li;Shusuke Sone;Hiroyuki Abe;Heber Macmahon

  • Computer-aided diagnosis in radiology: potential and pitfalls

    Kunio Doi;Heber MacMahon;Shigehiko Katsuragawa;Robert M Nishikawa

  • Automated detection of lung nodules in CT scans: Preliminary results

    Samuel G. Armato;Maryellen L. Giger;Heber MacMahon

  • Lung cancer: performance of automated lung nodule detection applied to cancers missed in a CT screening program

    Samuel G. Armato;Feng Li;Maryellen L. Giger;Heber MacMahon

  • Computerized Detection of Pulmonary Nodules in Computed Tomography Images

    Maryellen L. Giger;Kyongtae T. Bae;Heber MacMAHON

  • Effect of a computer-aided diagnosis scheme on radiologists' performance in detection of lung nodules on radiographs.

    T Kobayashi;X W Xu;H MacMahon;C E Metz

  • Digital image subtraction of temporally sequential chest images for detection of interval change

    Akiko Kano;Kunio Doi;Heber MacMahon;Dayne D. Hassell

  • Endothelial-Cell Sarcoma of Liver Following Thorotrast Injections.

    Macmahon He;Murphy As;Bates Mi

Frequent Co-Authors

Kunio Doi
Kunio Doi University of Chicago
Maryellen L. Giger
Maryellen L. Giger University of Chicago
Ella A. Kazerooni
Ella A. Kazerooni University of Michigan–Ann Arbor
Qiang Li
Qiang Li Brookhaven National Laboratory
Charles E. Metz
Charles E. Metz University of Chicago
David P. Naidich
David P. Naidich New York University
Kenji Suzuki
Kenji Suzuki Tokyo Institute of Technology
David F. Yankelevitz
David F. Yankelevitz Icahn School of Medicine at Mount Sinai
Hedy L. Kindler
Hedy L. Kindler University of Chicago
Robert M. Nishikawa
Robert M. Nishikawa University of Pittsburgh

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