World's Best Scientists 2026 revealed!
Eun-Kyung Kim

Eun-Kyung Kim

D-Index & Metrics

Medicine

D-Index
86
Citations
32437
World Ranking
13967
National Ranking
48

Eun-Kyung Kim 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 Eun-Kyung Kim 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: 931 publications — 92nd percentile

92% of scientists in this discipline score the same or lower.

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

Eun-Kyung Kim 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 Eun-Kyung Kim 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: 86 D-Index — 31st percentile

31% of scientists in this discipline score the same or lower.

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

Overview

Eun-Kyung Kim is affiliated with Yonsei University in South Korea and has made significant contributions in the field of medical research, focusing on radiology, artificial intelligence, and cancer diagnosis. Their research work encompasses several high-impact topics and fields of study, reflecting a broad engagement with both clinical and technological aspects of medical imaging and diagnosis.

The main field of study for Eun-Kyung Kim is Medicine, with a concentrated focus on the following subfields:

  • Radiology, Nuclear Medicine and Imaging
  • Pulmonary and Respiratory Medicine
  • Artificial Intelligence
  • Oncology
  • Surgery

The research topics covered extensively by Eun-Kyung Kim include:

  • Radiomics and Machine Learning in Medical Imaging
  • AI in cancer detection
  • Thyroid Cancer Diagnosis and Treatment
  • Digital Radiography and Breast Imaging
  • COVID-19 diagnosis using AI
  • Breast Lesions and Carcinomas
  • Breast Cancer Treatment Studies

The scientist has published papers in numerous reputable venues. The most frequent publication venues are:

  • Scientific Reports
  • European Radiology
  • Korean Journal of Radiology
  • PLoS ONE
  • Radiology

Recent papers authored or co-authored by Eun-Kyung Kim include:

  • "Changes in cancer detection and false-positive recall in mammography using artificial intelligence: a retrospective, multireader study" (2020) in The Lancet Digital Health
  • "Radiomic machine learning for predicting prognostic biomarkers and molecular subtypes of breast cancer using tumor heterogeneity and angiogenesis properties on MRI" (2021) in European Radiology
  • "Deep Learning-Based Artificial Intelligence for Mammography" (2021) in Korean Journal of Radiology
  • "Radiomics signature for prediction of lateral lymph node metastasis in conventional papillary thyroid carcinoma" (2020) in PLoS ONE
  • "The impact of artificial intelligence on the reading times of radiologists for chest radiographs" (2023) in npj Digital Medicine

Eun-Kyung Kim frequently collaborates with several co-authors, including:

  • Jung Hyun Yoon
  • Kyunghwa Han
  • Vivian Youngjean Park
  • Hee Jung Moon
  • Si Eun Lee

Best Publications

  • New Sonographic Criteria for Recommending Fine-Needle Aspiration Biopsy of Nonpalpable Solid Nodules of the Thyroid

    Eun Kyung Kim;Cheong Soo Park;Woung Youn Chung;Ki Keun Oh

  • Thyroid Imaging Reporting and Data System for US Features of Nodules: A Step in Establishing Better Stratification of Cancer Risk

    Jin Young Kwak;Kyung Hwa Han;Jung Hyun Yoon;Hee Jung Moon

  • Ultrasonography Diagnosis and Imaging-Based Management of Thyroid Nodules: Revised Korean Society of Thyroid Radiology Consensus Statement and Recommendations

    Jung Hee Shin;Jung Hwan Baek;Jin Chung;Eun Joo Ha

  • Ultrasonography and the Ultrasound-Based Management of Thyroid Nodules: Consensus Statement and Recommendations

    Won Jin Moon;Jung Hwan Baek;So Lyung Jung;Dong Wook Kim

  • Convertible organic nanoparticles for near-infrared photothermal ablation of cancer cells.

    Jaemoon Yang;Jihye Choi;Doyeon Bang;Eunjung Kim

  • Preoperative staging of papillary thyroid carcinoma: comparison of ultrasound imaging and CT.

    Ji Soo Choi;Jinna Kim;Jin Young Kwak;Min Jung Kim

  • Complications Encountered in the Treatment of Benign Thyroid Nodules with US-guided Radiofrequency Ablation: A Multicenter Study

    Jung Hwan Baek;Jeong Hyun Lee;Jin Yong Sung;Jae-Ik Bae

  • CRISPR/Cas9-induced knockout and knock-in mutations in Chlamydomonas reinhardtii

    Sung Eun Shin;Jong-Min Lim;Hyun Gi Koh;Eun Kyung Kim

  • Can vascularity at power Doppler US help predict thyroid malignancy

    Hee Jung Moon;Jin Young Kwak;Min Jung Kim;Eun Ju Son

  • Changes in cancer detection and false-positive recall in mammography using artificial intelligence: a retrospective, multireader study

    Hyo Eun Kim;Hak Hee Kim;Boo Kyung Han;Ki Hwan Kim

  • Radiofrequency ablation of benign thyroid nodules and recurrent thyroid cancers: consensus statement and recommendations.

    Dong Gyu Na;Jeong Hyun Lee;So Lyung Jung;Ji hoon Kim

  • Diagnostic performance of gray-scale US and elastography in solid thyroid nodules.

    Hee Jung Moon;Ji Min Sung;Eun Kyung Kim;Jung Hyun Yoon

  • An adaptation of the Korean mini-mental state examination (K-MMSE) in elderly Koreans: demographic influence and population-based norms (the AGE study).

    Changsu Han;Sangmee Ahn Jo;Inho Jo;Eunkyung Kim

  • PD-L1 expression on immune cells, but not on tumor cells, is a favorable prognostic factor for head and neck cancer patients

    Hye Ryun Kim;Sang Jun Ha;Min Hee Hong;Su Jin Heo

  • Triple-negative invasive breast cancer on dynamic contrast-enhanced and diffusion-weighted MR imaging: comparison with other breast cancer subtypes

    Ji Hyun Youk;Eun Ju Son;Jin Chung;Jeong Ah Kim

  • Interobserver and Intraobserver Variations in Ultrasound Assessment of Thyroid Nodules

    Seon Hyeong Choi;Eun Kyung Kim;Jin Young Kwak;Min Jung Kim

  • Interobserver agreement in assessing the sonographic and elastographic features of malignant thyroid nodules

    Sung Hee Park;Soo Jin Kim;Eun-Kyung Kim;Min Jung Kim

  • Treatment Outcomes and Long-term Survival in Patients with Extensively Drug-resistant Tuberculosis

    Doh Hyung Kim;Hee Jin Kim;Seung-Kyu Park;Suck-Jun Kong

  • US-guided Fine-Needle Aspiration of Thyroid Nodules: Indications, Techniques, Results

    Min Jung Kim;Eun Kyung Kim;Sung Il Park;Byung Moon Kim

  • Malignancy Risk Stratification of Thyroid Nodules: Comparison between the Thyroid Imaging Reporting and Data System and the 2014 American Thyroid Association Management Guidelines

    Jung Hyun Yoon;Hye Sun Lee;Eun Kyung Kim;Hee Jung Moon

Frequent Co-Authors

Bong-Soo Lee
Bong-Soo Lee Korea Advanced Institute of Science and Technology
Hak-Sung Kim
Hak-Sung Kim Hanyang University
Myeong-Jin Kim
Myeong-Jin Kim Yonsei University
Hyun Cheol Chung
Hyun Cheol Chung Yonsei University
Changsu Han
Changsu Han Korea University
Pyo-Jam Park
Pyo-Jam Park Konkuk University
Byoung Chul Cho
Byoung Chul Cho Yonsei University
Ji-Won Yang
Ji-Won Yang Korea Advanced Institute of Science and Technology
Won-Jung Koh
Won-Jung Koh Samsung Medical Center

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