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Sunghwan Sohn

Sunghwan Sohn

Mayo Clinic
United States

D-Index & Metrics

Discipline name D-Index World Ranking Current World Ranking National Ranking Current National Ranking Publications Citations
Computer Science 40 9217 8950 3925 3762 156 7810

Sunghwan Sohn publications per year

The chart shows the history of publications by Sunghwan Sohn between 1988 and 2026, highlighting the no. of papers published in each year and offering an overview of the publication velocity of this scholar. Sunghwan Sohn published across 39 years, from 1988 to 2026, averaging 6.1 papers a year. Output peaked at 21 publications in 2018. 32 of the 237 publications appeared in the last two years.

No. of publications
5 10 15 20
Bar chart. Horizontal axis: year, 1988 to 2026. Vertical axis: number of publications, 0 to 21. Peak 21 publications in 2018. 1988: 1 publication 1989: 0 publications 1990: 0 publications 1991: 0 publications 1992: 0 publications 1993: 0 publications 1994: 0 publications 1995: 0 publications 1996: 0 publications 1997: 0 publications 1998: 0 publications 1999: 0 publications 2000: 0 publications 2001: 3 publications 2002: 2 publications 2003: 2 publications 2004: 2 publications 2005: 0 publications 2006: 1 publication 2007: 3 publications 2008: 5 publications 2009: 4 publications 2010: 3 publications 2011: 3 publications 2012: 8 publications 2013: 10 publications 2014: 7 publications 2015: 11 publications 2016: 10 publications 2017: 14 publications 2018: 21 publications 2019: 20 publications 2020: 15 publications 2021: 15 publications 2022: 14 publications 2023: 18 publications 2024: 13 publications 2025: 19 publications 2026: 13 publications
1988 2026

237 publications in total across all disciplines

View publications per year as a table
Sunghwan Sohn: publications per year, 1988 to 2026
Year Publications
1988 1
1989 0
1990 0
1991 0
1992 0
1993 0
1994 0
1995 0
1996 0
1997 0
1998 0
1999 0
2000 0
2001 3
2002 2
2003 2
2004 2
2005 0
2006 1
2007 3
2008 5
2009 4
2010 3
2011 3
2012 8
2013 10
2014 7
2015 11
2016 10
2017 14
2018 21
2019 20
2020 15
2021 15
2022 14
2023 18
2024 13
2025 19
2026 13
Total 237
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Sunghwan Sohn publications per year - data summary

  • Sunghwan Sohn, a Computer Science scholar from Mayo Clinic, has 237 publications recorded across 39 years, from 1988 to 2026.
  • The oldest publication on record dates to 1988 and the most recent to 2026.
  • The most productive year is 2018, with 21 publications.
  • The least productive years with any output are 1988 and 2006, with 1 publication each.
  • 13 of the 39 years in the span carry no publications at all (1989, 1990, 1991, 1992 and others).
  • The rate of publication averages 6.1 papers per year over the whole span, or 9.1 per year counting only the 26 years with at least one publication.
  • The last 5 years on the chart (2022-2026) hold 77 publications, 32% of the career total.
  • Split into equal eras - 1988-2000: 1 publication (0.1 per year); 2001-2013: 46 publications (3.5 per year); 2014-2026: 190 publications (14.6 per year).
  • Comparing the opening and closing eras, the overall trend of publication is rising.

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.

No. of scientists
200 400 600
Bar chart with 97 bars. Horizontal axis: publications, 32–41 to 991+. Vertical axis: number of scientists, 0 to 609. Most scientists, 609, have 142–151 publications. The last bar groups every scientist with 991 publications or more. The highlighted bar, 152–161 publications, is where this scientist sits. 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
32–41 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.

View publications distribution as a table
Number of Computer Science scientists by publication count, Research.com 2026 ranking edition. Based on 14,188 ranked scientists.
Publications Scientists This scientist
32–41 7
42–51 22
52–61 82
62–71 134
72–81 249
82–91 324
92–101 421
102–111 420
112–121 497
122–131 544
132–141 555
142–151 609
152–161 559 156
162–171 534
172–181 556
182–191 583
192–201 519
202–211 508
212–221 490
222–231 437
232–241 423
242–251 408
252–261 377
262–271 301
272–281 335
282–291 320
292–301 293
302–311 250
312–321 238
322–331 206
332–341 209
342–351 208
352–361 162
362–371 176
372–381 127
382–391 158
392–401 128
402–411 104
412–421 94
422–431 99
432–441 83
442–451 108
452–461 73
462–471 77
472–481 69
482–491 84
492–501 62
502–511 54
512–521 57
522–531 51
532–541 51
542–551 32
552–561 38
562–571 28
572–581 43
582–591 33
592–601 41
602–611 32
612–621 28
622–631 25
632–641 27
642–651 17
652–661 20
662–671 17
672–681 15
682–691 14
692–701 21
702–711 13
712–721 12
722–731 19
732–741 14
742–751 12
752–761 10
762–771 10
772–781 11
782–791 10
792–801 11
802–811 8
812–821 8
822–831 7
832–841 11
842–851 10
852–861 5
862–871 9
872–881 4
882–891 6
892–901 3
902–911 6
912–921 3
922–931 2
932–941 2
942–951 2
952–961 3
962–971 3
972–981 3
982–990 5
991+ 100
Download as CSV

Sunghwan Sohn publication distribution in Computer Science in 2026 - data summary

  • The chart plots the publication count of all 14,188 Computer Science scientists ranked by Research.com in 2026, grouped into 97 ranges running from 32–41 to 991+ publications.
  • Sunghwan Sohn, a Computer Science scholar from Mayo Clinic, records 156 publications - the 29th percentile of the discipline.
  • 29% of ranked Computer Science scientists score the same or lower than Sunghwan Sohn, and about 71% score higher.
  • The median of the discipline falls in the 202–211 publications range, and Sunghwan Sohn ranks below the median.
  • The most crowded range is 142–151 publications, holding 609 scientists (4% of the field).
  • 70% of the field sits in the lowest quarter of the value range (up to 272–281 publications), so the distribution is heavily right-skewed and high scores are rare.
  • The final bar has no upper bound: it groups every scientist with 991 publications or more, 100 scientists in all (<1% of the field).

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.

No. of scientists
200 400 600 800
Bar chart with 52 bars. Horizontal axis: D-Index, 30–31 to 131+. Vertical axis: number of scientists, 0 to 990. Most scientists, 990, have 36–37 D-Index. The last bar groups every scientist with 131 D-Index or more. The highlighted bar, 40–41 D-Index, is where this scientist sits. 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
30–31 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.

View D-Index distribution as a table
Number of Computer Science scientists by D-index, Research.com 2026 ranking edition. Based on 14,188 ranked scientists.
D-Index Scientists This scientist
30–31 879
32–33 983
34–35 918
36–37 990
38–39 968
40–41 907 40
42–43 821
44–45 763
46–47 689
48–49 543
50–51 543
52–53 518
54–55 500
56–57 458
58–59 400
60–61 337
62–63 308
64–65 292
66–67 249
68–69 213
70–71 192
72–73 189
74–75 165
76–77 139
78–79 119
80–81 121
82–83 113
84–85 88
86–87 87
88–89 75
90–91 69
92–93 57
94–95 46
96–97 38
98–99 34
100–101 36
102–103 27
104–105 37
106–107 18
108–109 31
110–111 19
112–113 16
114–115 12
116–117 20
118–119 15
120–121 5
122–123 20
124–125 8
126–127 5
128–129 7
130 3
131+ 98
Download as CSV

Sunghwan Sohn D-index placement in Computer Science in 2026 - data summary

  • The chart plots the discipline H-index (D-index) of all 14,188 Computer Science scientists ranked by Research.com in 2026, grouped into 52 ranges running from 30–31 to 131+ D-Index.
  • Sunghwan Sohn, a Computer Science scholar from Mayo Clinic, records 40 D-Index - the 37th percentile of the discipline.
  • 37% of ranked Computer Science scientists score the same or lower than Sunghwan Sohn, and about 63% score higher.
  • The median of the discipline falls in the 44–45 D-Index range, and Sunghwan Sohn ranks below the median.
  • The most crowded range is 36–37 D-Index, holding 990 scientists (7% of the field).
  • 71% of the field sits in the lowest quarter of the value range (up to 54–55 D-Index), so the distribution is heavily right-skewed and high scores are rare.
  • The final bar has no upper bound: it groups every scientist with 131 D-Index or more, 98 scientists in all (<1% of the field).

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
David G. Lewallen
David G. Lewallen Mayo Clinic
Guergana Savova
Guergana Savova Harvard University
Chunhua Weng
Chunhua Weng Columbia University
Hirohito Kita
Hirohito Kita Mayo Clinic
Elizabeth J. Atkinson
Elizabeth J. Atkinson Mayo Clinic
Hakon Hakonarson
Hakon Hakonarson Children's Hospital of Philadelphia

External Links

Personal website of Sunghwan Sohn

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2027 How to Become an Urban Planner in Florida
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2027 Easiest Online Theology Master's Degree Programs That Pay Well: High-Salary Degrees with Simple Admissions
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2027 How to Become an Occupational Therapist in Texas
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2027 Fastest-Growing Careers for Christian Ministry Degree Graduates