World's Best Scientists 2026 revealed!
Sunghwan Sohn

Sunghwan Sohn

D-Index & Metrics

Computer Science

D-Index
40
Citations
7810
World Ranking
9217
National Ranking
3925

Sunghwan Sohn publication distribution in Computer Science in 2026

The chart shows the distribution of publications by all Research.com ranked scientists in the field of Computer Science in 2026. The highlighted bar marks where Sunghwan Sohn sits on this spectrum.

32–41 publications: 7 scientists 42–51 publications: 22 scientists 52–61 publications: 82 scientists 62–71 publications: 134 scientists 72–81 publications: 249 scientists 82–91 publications: 324 scientists 92–101 publications: 421 scientists 102–111 publications: 420 scientists 112–121 publications: 497 scientists 122–131 publications: 544 scientists 132–141 publications: 555 scientists 142–151 publications: 609 scientists 152–161 publications: 559 scientists 162–171 publications: 534 scientists 172–181 publications: 556 scientists 182–191 publications: 583 scientists 192–201 publications: 519 scientists 202–211 publications: 508 scientists 212–221 publications: 490 scientists 222–231 publications: 437 scientists 232–241 publications: 423 scientists 242–251 publications: 408 scientists 252–261 publications: 377 scientists 262–271 publications: 301 scientists 272–281 publications: 335 scientists 282–291 publications: 320 scientists 292–301 publications: 293 scientists 302–311 publications: 250 scientists 312–321 publications: 238 scientists 322–331 publications: 206 scientists 332–341 publications: 209 scientists 342–351 publications: 208 scientists 352–361 publications: 162 scientists 362–371 publications: 176 scientists 372–381 publications: 127 scientists 382–391 publications: 158 scientists 392–401 publications: 128 scientists 402–411 publications: 104 scientists 412–421 publications: 94 scientists 422–431 publications: 99 scientists 432–441 publications: 83 scientists 442–451 publications: 108 scientists 452–461 publications: 73 scientists 462–471 publications: 77 scientists 472–481 publications: 69 scientists 482–491 publications: 84 scientists 492–501 publications: 62 scientists 502–511 publications: 54 scientists 512–521 publications: 57 scientists 522–531 publications: 51 scientists 532–541 publications: 51 scientists 542–551 publications: 32 scientists 552–561 publications: 38 scientists 562–571 publications: 28 scientists 572–581 publications: 43 scientists 582–591 publications: 33 scientists 592–601 publications: 41 scientists 602–611 publications: 32 scientists 612–621 publications: 28 scientists 622–631 publications: 25 scientists 632–641 publications: 27 scientists 642–651 publications: 17 scientists 652–661 publications: 20 scientists 662–671 publications: 17 scientists 672–681 publications: 15 scientists 682–691 publications: 14 scientists 692–701 publications: 21 scientists 702–711 publications: 13 scientists 712–721 publications: 12 scientists 722–731 publications: 19 scientists 732–741 publications: 14 scientists 742–751 publications: 12 scientists 752–761 publications: 10 scientists 762–771 publications: 10 scientists 772–781 publications: 11 scientists 782–791 publications: 10 scientists 792–801 publications: 11 scientists 802–811 publications: 8 scientists 812–821 publications: 8 scientists 822–831 publications: 7 scientists 832–841 publications: 11 scientists 842–851 publications: 10 scientists 852–861 publications: 5 scientists 862–871 publications: 9 scientists 872–881 publications: 4 scientists 882–891 publications: 6 scientists 892–901 publications: 3 scientists 902–911 publications: 6 scientists 912–921 publications: 3 scientists 922–931 publications: 2 scientists 932–941 publications: 2 scientists 942–951 publications: 2 scientists 952–961 publications: 3 scientists 962–971 publications: 3 scientists 972–981 publications: 3 scientists 982–990 publications: 5 scientists 991+ publications: 100 scientists
32 publications 991+

This scientist: 156 publications — 29th percentile

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

The last bar groups every scientist with 991 publications or more.

Sunghwan Sohn D-index placement in Computer Science in 2026

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

30–31 D-Index: 879 scientists 32–33 D-Index: 983 scientists 34–35 D-Index: 918 scientists 36–37 D-Index: 990 scientists 38–39 D-Index: 968 scientists 40–41 D-Index: 907 scientists 42–43 D-Index: 821 scientists 44–45 D-Index: 763 scientists 46–47 D-Index: 689 scientists 48–49 D-Index: 543 scientists 50–51 D-Index: 543 scientists 52–53 D-Index: 518 scientists 54–55 D-Index: 500 scientists 56–57 D-Index: 458 scientists 58–59 D-Index: 400 scientists 60–61 D-Index: 337 scientists 62–63 D-Index: 308 scientists 64–65 D-Index: 292 scientists 66–67 D-Index: 249 scientists 68–69 D-Index: 213 scientists 70–71 D-Index: 192 scientists 72–73 D-Index: 189 scientists 74–75 D-Index: 165 scientists 76–77 D-Index: 139 scientists 78–79 D-Index: 119 scientists 80–81 D-Index: 121 scientists 82–83 D-Index: 113 scientists 84–85 D-Index: 88 scientists 86–87 D-Index: 87 scientists 88–89 D-Index: 75 scientists 90–91 D-Index: 69 scientists 92–93 D-Index: 57 scientists 94–95 D-Index: 46 scientists 96–97 D-Index: 38 scientists 98–99 D-Index: 34 scientists 100–101 D-Index: 36 scientists 102–103 D-Index: 27 scientists 104–105 D-Index: 37 scientists 106–107 D-Index: 18 scientists 108–109 D-Index: 31 scientists 110–111 D-Index: 19 scientists 112–113 D-Index: 16 scientists 114–115 D-Index: 12 scientists 116–117 D-Index: 20 scientists 118–119 D-Index: 15 scientists 120–121 D-Index: 5 scientists 122–123 D-Index: 20 scientists 124–125 D-Index: 8 scientists 126–127 D-Index: 5 scientists 128–129 D-Index: 7 scientists 130 D-Index: 3 scientists 131+ D-Index: 98 scientists
30 D-Index 131+

This scientist: 40 D-Index — 37th percentile

37% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 131 D-Index or more.

Overview

Sunghwan Sohn is affiliated with the Mayo Clinic in the United States and conducts research primarily in the field of Medicine. Their scholarly work spans several specialized subfields, including Artificial Intelligence, Physiology, Pulmonary and Respiratory Medicine, Surgery, and Public Health, Environmental and Occupational Health.

Their research focuses on a range of topics related to healthcare and biomedical informatics. Key areas include Asthma and respiratory diseases, Machine Learning in Healthcare, Topic Modeling, Dementia and Cognitive Impairment Research, Mental Health via Writing, Chronic Obstructive Pulmonary Disease (COPD) Research, and Intensive Care Unit Cognitive Disorders.

Sunghwan Sohn has contributed to scientific knowledge through publications in various journals. Some of the recent notable papers are:

  • Clinical concept extraction: A methodology review, 2020, Journal of Biomedical Informatics
  • Artificial intelligence-assisted clinical decision support for childhood asthma management: A randomized clinical trial, 2021, PLoS ONE
  • Assessing socioeconomic bias in machine learning algorithms in health care: a case study of the HOUSES index, 2022, Journal of the American Medical Informatics Association
  • Automated Detection of Periprosthetic Joint Infections and Data Elements Using Natural Language Processing, 2020, The Journal of Arthroplasty
  • Ascertainment of Delirium Status Using Natural Language Processing From Electronic Health Records, 2020, The Journals of Gerontology Series A

Frequent co-authors in their collaborations include:

  • Sunyang Fu
  • Hongfang Liu
  • Young J. Juhn
  • Jennifer L. St. Sauver
  • Euijung Ryu

Their publications often appear in venues such as:

  • bioRxiv (Cold Spring Harbor Laboratory)
  • Journal of Allergy and Clinical Immunology
  • arXiv (Cornell University)
  • The Journal of Arthroplasty
  • Journal of Biomedical Informatics

Best Publications

  • Mayo clinical Text Analysis and Knowledge Extraction System (cTAKES): architecture, component evaluation and applications

    Guergana K Savova;James J Masanz;Philip V Ogren;Jiaping Zheng

  • Clinical information extraction applications: A literature review.

    Yanshan Wang;Liwei Wang;Majid Rastegar-Mojarad;Sungrim Moon

  • A clinical text classification paradigm using weak supervision and deep representation.

    Yanshan Wang;Sunghwan Sohn;Sijia Liu;Feichen Shen

  • Deep learning and alternative learning strategies for retrospective real-world clinical data

    David Chen;Sijia Liu;Paul Kingsbury;Sunghwan Sohn

  • An information extraction framework for cohort identification using electronic health records.

    Hongfang Liu;Suzette J Bielinski;Sunghwan Sohn;Sean Murphy

  • Clinical concept extraction: A methodology review

    Sunyang Fu;Sunyang Fu;David Chen;Huan He;Sijia Liu

  • Normalization and standardization of electronic health records for high-throughput phenotyping: the SHARPn consortium

    Jyotishman D Pathak;Kent R Bailey;Calvin E. Beebe;Steven Bethard

  • DEEPEN: A negation detection system for clinical text incorporating dependency relation into NegEx.

    Saeed Mehrabi;Saeed Mehrabi;Anand Krishnan;Sunghwan Sohn;Alexandra M. Roch

  • Desiderata for delivering NLP to accelerate healthcare AI advancement and a Mayo Clinic NLP-as-a-service implementation.

    Andrew Wen;Sunyang Fu;Sungrim Moon;Mohamed El Wazir

  • Abbreviation definition identification based on automatic precision estimates.

    Sunghwan Sohn;Donald C Comeau;Won Kim;W John Wilbur

  • Drug side effect extraction from clinical narratives of psychiatry and psychology patients

    Sunghwan Sohn;Jean Pierre A. Kocher;Christopher G. Chute;Guergana K. Savova

  • Mining peripheral arterial disease cases from narrative clinical notes using natural language processing

    Naveed Afzal;Sunghwan Sohn;Sara Abram;Christopher G. Scott

  • MedXN: an open source medication extraction and normalization tool for clinical text.

    Sunghwan Sohn;Cheryl Clark;Scott R Halgrim;Sean P Murphy

  • Natural language processing of clinical notes for identification of critical limb ischemia.

    Naveed Afzal;Vishnu Priya Mallipeddi;Sunghwan Sohn;Hongfang Liu

  • Harmonizing Clinical Sequencing And Interpretation For The Emerge III Network

    Hana Zouk;Eric Venner;Niall J. Lennon;Donna M. Muzny

  • Automated chart review for asthma cohort identification using natural language processing: an exploratory study

    Stephen T. Wu;Sunghwan Sohn;K. E. Ravikumar;Kavishwar Wagholikar

  • Application of a Natural Language Processing Algorithm to Asthma Ascertainment. An Automated Chart Review.

    Chung Il Wi;Sunghwan Sohn;Mary C. Rolfes;Alicia Seabright

  • Toward a Learning Health-care System – Knowledge Delivery at the Point of Care Empowered by Big Data and NLP

    Vinod C. Kaggal;Ravikumar Komandur Elayavilli;Saeed Mehrabi;Joshua J. Pankratz

  • Mayo clinic smoking status classification system: extensions and improvements

    Sunghwan Sohn;Guergana K. Savova

  • Automated chart review utilizing natural language processing algorithm for asthma predictive index.

    Harsheen Kaur;Harsheen Kaur;Sunghwan Sohn;Chung Il Wi;Euijung Ryu

  • Clinical documentation variations and NLP system portability: a case study in asthma birth cohorts across institutions.

    Sunghwan Sohn;Yanshan Wang;Chung Il Wi;Elizabeth A. Krusemark

  • Temporal Pattern and Association Discovery of Diagnosis Codes Using Deep Learning

    Saaed Mehrabi;Sunghwan Sohn;Dingheng Li;Joshua J. Pankratz

  • Comprehensive temporal information detection from clinical text: medical events, time, and TLINK identification.

    Sunghwan Sohn;Kavishwar B Wagholikar;Dingcheng Li;Siddhartha R Jonnalagadda

Frequent Co-Authors

Hongfang Liu
Hongfang Liu The University of Texas Health Science Center at Houston
Christopher G. Chute
Christopher G. Chute Johns Hopkins University
Sijia Liu
Sijia Liu Michigan State University
Gail P. Jarvik
Gail P. Jarvik University of Washington
Guergana Savova
Guergana Savova Harvard University
Chunhua Weng
Chunhua Weng Columbia University
Hirohito Kita
Hirohito Kita Mayo Clinic
Hakon Hakonarson
Hakon Hakonarson Children's Hospital of Philadelphia

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