Yoonjoo Kim

1.2k total citations · 1 hit paper
43 papers, 715 citations indexed

About

Yoonjoo Kim is a scholar working on Pulmonary and Respiratory Medicine, Epidemiology and Molecular Biology. According to data from OpenAlex, Yoonjoo Kim has authored 43 papers receiving a total of 715 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Pulmonary and Respiratory Medicine, 8 papers in Epidemiology and 6 papers in Molecular Biology. Recurrent topics in Yoonjoo Kim's work include Cancer Immunotherapy and Biomarkers (5 papers), Phonocardiography and Auscultation Techniques (4 papers) and Lung Cancer Treatments and Mutations (4 papers). Yoonjoo Kim is often cited by papers focused on Cancer Immunotherapy and Biomarkers (5 papers), Phonocardiography and Auscultation Techniques (4 papers) and Lung Cancer Treatments and Mutations (4 papers). Yoonjoo Kim collaborates with scholars based in South Korea, United States and Japan. Yoonjoo Kim's co-authors include Chaeuk Chung, Sung Soo Jung, Katsuaki Baba, Naoto Chatani, Mamoru Tobisu, YunKyong Hyon, Sunju Lee, Masahiro Onoe, Yusuke Kita and Taeyoung Ha and has published in prestigious journals such as Journal of the American Chemical Society, SHILAP Revista de lepidopterología and Bioresource Technology.

In The Last Decade

Yoonjoo Kim

40 papers receiving 703 citations

Hit Papers

Respiratory sound classification for crackles, wheezes, a... 2021 2026 2022 2024 2021 40 80 120

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Yoonjoo Kim South Korea 12 244 218 77 74 72 43 715
Gui Xiao China 11 40 0.2× 38 0.2× 5 0.1× 40 0.5× 114 1.6× 60 430
Takahiro Inoue Japan 14 202 0.8× 52 0.2× 29 0.4× 47 0.7× 74 543
Jennifer Rutledge Canada 16 316 1.3× 40 0.2× 6 0.1× 194 2.6× 259 3.6× 40 1.0k
Chiara Ciaprini Italy 11 65 0.3× 203 0.9× 1 0.0× 49 0.7× 70 1.0× 18 747
Ching‐Yu Lee Taiwan 17 48 0.2× 300 1.4× 58 0.8× 68 0.9× 58 995
Kaoru Fujii Japan 10 59 0.2× 67 0.3× 14 0.2× 89 1.2× 24 427
David J. Connolly United Kingdom 19 60 0.2× 770 3.5× 100 1.4× 410 5.7× 56 1.5k
Olivier Fabre France 16 198 0.8× 56 0.3× 199 2.7× 120 1.7× 54 1.2k
Masashi Takeuchi Japan 17 308 1.3× 44 0.2× 1 0.0× 90 1.2× 24 0.3× 104 839
Yujun Wang China 12 69 0.3× 5 0.0× 3 0.0× 43 0.6× 79 1.1× 37 411

Countries citing papers authored by Yoonjoo Kim

Since Specialization
Citations

This map shows the geographic impact of Yoonjoo Kim'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 Yoonjoo Kim with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yoonjoo Kim more than expected).

Fields of papers citing papers by Yoonjoo Kim

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Yoonjoo Kim. 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 Yoonjoo Kim. The network helps show where Yoonjoo Kim may publish in the future.

Co-authorship network of co-authors of Yoonjoo Kim

This figure shows the co-authorship network connecting the top 25 collaborators of Yoonjoo Kim. A scholar is included among the top collaborators of Yoonjoo Kim based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Yoonjoo Kim. Yoonjoo Kim is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
2.
Lee, Ja Hyun, et al.. (2025). Enzyme cascades for high-yield conversion of d-xylose into d-ribose by overcoming equilibrium constraints and enhancing selectivity. Bioresource Technology. 428. 132435–132435. 1 indexed citations
3.
Kang, Da Hyun, Chang‐Min Choi, Cheol‐Kyu Park, et al.. (2024). Immune Checkpoint Inhibitor Score Predicts Survival Benefit of Immunotherapy in Patients with Non-small Cell Lung Cancer. Tuberculosis & respiratory diseases. 87(4). 483–493. 1 indexed citations
5.
Kim, Yoonjoo, YunKyong Hyon, Sunju Lee, et al.. (2023). Evolution of the Stethoscope: Advances with the Adoption of Machine Learning and Development of Wearable Devices. Tuberculosis & respiratory diseases. 86(4). 251–263. 3 indexed citations
6.
Chung, Chaeuk, Yoonjoo Kim, Jeong Eun Lee, Da Hyun Kang, & Dongil Park. (2023). Diagnostic Value of Transbronchial Lung Cryobiopsy Using an Ultrathin Cryoprobe and Guide Sheath for Peripheral Pulmonary Lesions. Journal of Bronchology & Interventional Pulmonology. 31(1). 13–22. 9 indexed citations
7.
Kim, Yoonjoo, Dongil Park, Song‐Yi Choi, & Chaeuk Chung. (2022). Immune checkpoint inhibitor therapy in a patient with small cell lung cancer and anti‐transcriptional intermediary factor 1‐γ antibody‐positive dermatomyositis: A case report. Thoracic Cancer. 13(19). 2808–2811. 6 indexed citations
8.
Kim, Yoonjoo, et al.. (2022). The coming era of a new auscultation system for analyzing respiratory sounds. BMC Pulmonary Medicine. 22(1). 119–119. 47 indexed citations
9.
Han, Jeong Joon, Mi Young Eo, Yoonjoo Kim, et al.. (2022). Schneiderian Membrane Regeneration After Lateral Bony Window Repositioning in Modified Endoscopic-Assisted Maxillary Sinus Surgery: Transmission Electron Microscopy Evaluation. Journal of Craniofacial Surgery. 33(7). e701–e706. 12 indexed citations
11.
Yoo, Geon, Dongil Park, Yoonjoo Kim, & Chaeuk Chung. (2021). New Insights into the Clinical Implications of Yes-Associated Protein in Lung Cancer: Roles in Drug Resistance, Tumor Immunity, Autophagy, and Organoid Development. Cancers. 13(12). 3069–3069. 11 indexed citations
12.
Kim, Yoonjoo, et al.. (2021). Usefulness of presepsin in predicting the prognosis of patients with sepsis or septic shock: a retrospective cohort study. SHILAP Revista de lepidopterología. 38(4). 318–325. 7 indexed citations
13.
Kang, Da Hyun, Chaeuk Chung, Da Hye Lee, et al.. (2021). Circulating regulatory T cells predict efficacy and atypical responses in lung cancer patients treated with PD-1/PD-L1 inhibitors. Cancer Immunology Immunotherapy. 71(3). 579–588. 35 indexed citations
14.
Kim, Yoonjoo, YunKyong Hyon, Sung Soo Jung, et al.. (2021). Respiratory sound classification for crackles, wheezes, and rhonchi in the clinical field using deep learning. Scientific Reports. 11(1). 17186–17186. 127 indexed citations breakdown →
15.
Chung, Chaeuk, Yoonjoo Kim, & Dongil Park. (2020). Transthoracic Needle Biopsy: How to Maximize Diagnostic Accuracy and Minimize Complications. Tuberculosis & respiratory diseases. 83(Supple 1). S17–S24. 10 indexed citations
17.
Yang, Yan, Phillip Stafford, & Yoonjoo Kim. (2011). Segmentation and intensity estimation for microarray images with saturated pixels. BMC Bioinformatics. 12(1). 462–462. 8 indexed citations
18.
Kim, Ee Kyung, et al.. (2010). Neonatal Rat Necrotizing Enterocolitis Model Adopting Oral Endotoxin and Hypoxia Exhibits Increased Apoptosis through Caspase-3 Activation. Journal of the Korean Society of Neonatology. 17(1). 44–52. 3 indexed citations
19.
Jekarl, Dong Wook, Yoonjoo Kim, Sang Hyun Shin, et al.. (2010). Evaluation of Vitek2 and BD Phoenix in antimicrobial susceptibility testing of Acinetobacter baumannii and Pseudomonas aeruginosa. Diagnostic Microbiology and Infectious Disease. 67(4). 384–386. 2 indexed citations
20.
Chiang, Pei‐Chen, Yoonjoo Kim, & Jeffrey W. Bode. (2009). Catalytic amide formation with α′-hydroxyenones as acylating reagents. Chemical Communications. 4566–4566. 68 indexed citations

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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