Sunmi Ju

654 citations
38 papers · 461 · h-index 13

Impact in

Papers in

    • Respiratory Support and Mechanisms 5
    • Cystic Fibrosis Research Advances 4
    • Chronic Obstructive Pulmonary Disease (COPD) Research 4
    • Neonatal Respiratory Health Research 3
    • Sepsis Diagnosis and Treatment 3
    • Mycobacterium research and diagnosis 2

Sunmi Ju

36 papers receiving 454 citations

Peers

Sunmi Ju
Comparison fields: 5 of 80
  • Microbiology 4
  • Critical Care and Intensive Care Medicine 24
  • Pulmonary and Respiratory Medicine 151
  • Oncology 77
  • Physiology 46
Replace Hsi Chu with:
Hsi Chu Taiwan
Hong Yeul Lee South Korea
Gaetana Messina Italy
Yehuda Raveh United States
Marzia Spessot Italy
Vinod Kumar India
Skyler A. Lentz United States
Sjoerd van Bree Netherlands
Xiaoling Ye China
Sajid A. Haque United States
Sunmi Ju relative to Hsi Chu Taiwan Hsi Chu's profile →
Citations per field
00.5×2×3×4×4.5×
Hsi Chu · 1×
Citations per year

Countries citing papers authored by Sunmi Ju

Since Specialization
Citations

This map shows the geographic impact of Sunmi Ju's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Sunmi Ju with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sunmi Ju more than expected).

Fields of papers citing papers by Sunmi Ju

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Sunmi Ju. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Sunmi Ju. The network helps show where Sunmi Ju may publish in the future.

Co-authors

The 25 scholars most cited alongside Sunmi Ju, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Sunmi Ju Line = papers co-authored together Sunmi Ju links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 38 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201661
2 202059
3 201729
4 201522
5 201820
6 201819
7 202017
8 201916
9 201716
10 201714
11 202114
12 201713
13 201913
14 202112
15 201712
16 202012
17 201811
18 201910
19 20179
20 20119

About Sunmi Ju

Sunmi Ju is a scholar working on Pulmonary and Respiratory Medicine, Epidemiology, Infectious Diseases, Critical Care and Intensive Care Medicine and Neurology, having authored 38 papers that have together received 461 indexed citations. Recurring topics across this work include Respiratory Support and Mechanisms (5 papers), Cystic Fibrosis Research Advances (4 papers), Chronic Obstructive Pulmonary Disease (COPD) Research (4 papers), Neonatal Respiratory Health Research (3 papers), Sepsis Diagnosis and Treatment (3 papers), COVID-19 Clinical Research Studies (2 papers), Mycobacterium research and diagnosis (2 papers) and Intensive Care Unit Cognitive Disorders (2 papers). The work is most often cited by research in Microbiology (4 citations), Critical Care and Intensive Care Medicine (24 citations), Pulmonary and Respiratory Medicine (151 citations), Oncology (77 citations) and Physiology (46 citations). Sunmi Ju has collaborated with scholars based in South Korea, United States and Ethiopia. Frequent co-authors include Jong Deog Lee, Seung Jun Lee, Yu Ji Cho, Ho Cheol Kim, Yi Yeong Jeong, Jung‐Wan Yoo, Tae Won Lee, Ju‐Young Kim, Gyeong‐Won Lee and Seong-Jae Kim. Their work appears in journals such as Medicine, Journal of Clinical Medicine, Respiratory Care, International Journal of COPD and BMC Ophthalmology.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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