Eunjoo Jeon

1.6k total citations
38 papers, 1.2k citations indexed

About

Eunjoo Jeon is a scholar working on General Health Professions, Health Information Management and Molecular Biology. According to data from OpenAlex, Eunjoo Jeon has authored 38 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in General Health Professions, 11 papers in Health Information Management and 9 papers in Molecular Biology. Recurrent topics in Eunjoo Jeon's work include Mobile Health and mHealth Applications (11 papers), Electronic Health Records Systems (9 papers) and Nursing Diagnosis and Documentation (8 papers). Eunjoo Jeon is often cited by papers focused on Mobile Health and mHealth Applications (11 papers), Electronic Health Records Systems (9 papers) and Nursing Diagnosis and Documentation (8 papers). Eunjoo Jeon collaborates with scholars based in South Korea, United States and Taiwan. Eunjoo Jeon's co-authors include Hyeoun‐Ae Park, Yun‐Hye Jin, Suk‐Chul Bae, Qinglin Li, Yong Hee Lee, Joong-Kook Choi, Wun‐Jae Kim, Norikazu Nishino, Minoru Yoshida and Yong Hee Lee and has published in prestigious journals such as Journal of Biological Chemistry, PLoS ONE and Journal of Agricultural and Food Chemistry.

In The Last Decade

Eunjoo Jeon

36 papers receiving 1.2k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Eunjoo Jeon South Korea 17 499 194 184 120 114 38 1.2k
Yuqi Guo United States 13 303 0.6× 102 0.5× 413 2.2× 24 0.2× 147 1.3× 57 1.5k
Jane Zhao United States 14 383 0.8× 76 0.4× 65 0.4× 45 0.4× 205 1.8× 39 883
Jenny Park United States 13 357 0.7× 157 0.8× 109 0.6× 38 0.3× 98 0.9× 25 922
Laura Lin United States 22 818 1.6× 49 0.3× 163 0.9× 72 0.6× 93 0.8× 57 1.6k
Yura Lee South Korea 13 222 0.4× 91 0.5× 177 1.0× 23 0.2× 47 0.4× 58 640
Jiayi Shen China 15 288 0.6× 27 0.1× 137 0.7× 34 0.3× 71 0.6× 77 1.0k
Chan Zeng United States 27 748 1.5× 236 1.2× 423 2.3× 210 1.8× 141 1.2× 63 2.4k
Mitchell H. Tsai United States 15 490 1.0× 74 0.4× 427 2.3× 30 0.3× 454 4.0× 68 1.2k
Won‐Chul Lee South Korea 20 792 1.6× 289 1.5× 370 2.0× 22 0.2× 439 3.9× 45 2.1k
David Simonyan Canada 14 136 0.3× 116 0.6× 77 0.4× 20 0.2× 46 0.4× 78 773

Countries citing papers authored by Eunjoo Jeon

Since Specialization
Citations

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

Fields of papers citing papers by Eunjoo Jeon

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Eunjoo Jeon

This figure shows the co-authorship network connecting the top 25 collaborators of Eunjoo Jeon. A scholar is included among the top collaborators of Eunjoo Jeon 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 Eunjoo Jeon. Eunjoo Jeon 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.
Shin, Jaemyung, et al.. (2024). Universal embedding for pre-trained models and data bench. Neurocomputing. 619. 129107–129107.
3.
Han, Kihye, et al.. (2024). Prediction of Nursing Need Proxies Using Vital Signs and Biomarkers Data: Application of Deep Learning Models. Journal of Clinical Nursing. 34(10). 4121–4131. 1 indexed citations
4.
Jeon, Eunjoo, et al.. (2023). Developing a Classification Algorithm for Prediabetes Risk Detection From Home Care Nursing Notes. CIN Computers Informatics Nursing. 41(7). 539–547. 2 indexed citations
5.
Kim, Hyeon Jin, Su Jin Yoo, Eunjoo Jeon, et al.. (2022). Genomic and functional features of yeast species in Korean traditional fermented alcoholic beverage and soybean products. FEMS Yeast Research. 23. 9 indexed citations
6.
Moen, Hans, Dari Alhuwail, Jari Björne, et al.. (2022). Towards Automated Screening of Literature on Artificial Intelligence in Nursing. Studies in health technology and informatics. 290. 637–640. 5 indexed citations
7.
Kim, Ji‐Yeon, Eunjoo Jeon, Hyungsik Jung, et al.. (2021). Prediction of pathologic complete response to neoadjuvant chemotherapy using machine learning models in patients with breast cancer. Breast Cancer Research and Treatment. 189(3). 747–757. 13 indexed citations
8.
Joo, Sunghoon, Eun Sook Ko, Eunjoo Jeon, et al.. (2021). Multimodal deep learning models for the prediction of pathologic response to neoadjuvant chemotherapy in breast cancer. Scientific Reports. 11(1). 18800–18800. 78 indexed citations
9.
Jeon, Eunjoo, et al.. (2020). A Lightweight Deep Learning Model for Fast Electrocardiographic Beats Classification With a Wearable Cardiac Monitor: Development and Validation Study. JMIR Medical Informatics. 8(3). e17037–e17037. 17 indexed citations
10.
Jeon, Eunjoo, et al.. (2020). Analysis of Adverse Drug Reactions Identified in Nursing Notes Using Reinforcement Learning. Healthcare Informatics Research. 26(2). 104–111. 14 indexed citations
11.
Jeon, Eunjoo & Hyeoun‐Ae Park. (2019). Experiences of Patients With a Diabetes Self-Care App Developed Based on the Information-Motivation-Behavioral Skills Model: Before-and-After Study. JMIR Diabetes. 4(2). e11590–e11590. 29 indexed citations
12.
Hur, Haeng Jeon, Eunjoo Jeon, Sujin Park, et al.. (2018). Honokiol Improves Liver Steatosis in Ovariectomized Mice. Molecules. 23(1). 194–194. 32 indexed citations
13.
Jeon, Eunjoo & Hyeoun‐Ae Park. (2018). Development of the IMB Model and an Evidence-Based Diabetes Self-management Mobile Application. Healthcare Informatics Research. 24(2). 125–125. 37 indexed citations
14.
Jeon, Eunjoo, Munkhtugs Davaatseren, Jin‐Taek Hwang, et al.. (2016). Effect of Oral Administration of 3,3′-Diindolylmethane on Dextran Sodium Sulfate-Induced Acute Colitis in Mice. Journal of Agricultural and Food Chemistry. 64(41). 7702–7709. 23 indexed citations
15.
Jung, Hyesil, et al.. (2015). Development of an Adolescent Depression Ontology for Analyzing Social Data. Studies in health technology and informatics. 216. 1099–1099. 1 indexed citations
16.
Park, Hyeoun‐Ae, et al.. (2013). Development of an Obesity Management Ontology Based on the Nursing Process for the Mobile-Device Domain. Journal of Medical Internet Research. 15(7). e130–e130. 20 indexed citations
17.
Park, Hyeoun‐Ae, et al.. (2012). Integration of Evidence into a Detailed Clinical Model-based Electronic Nursing Record System. Healthcare Informatics Research. 18(2). 136–136. 3 indexed citations
18.
Jeon, Eunjoo, Bo‐Young Yoon, Jung-Yeon Lim, et al.. (2012). Adoptive transfer of all-trans-retinal-induced regulatory T cells ameliorates experimental autoimmune arthritis in an interferon-gamma knockout model. Autoimmunity. 45(6). 460–469. 16 indexed citations
19.
Jeon, Eunjoo, Kwang-Youl Lee, Mi‐Hye Lee, et al.. (2006). Bone Morphogenetic Protein-2 Stimulates Runx2 Acetylation. Journal of Biological Chemistry. 281(24). 16502–16511. 295 indexed citations
20.
Jin, Yun‐Hye, Eunjoo Jeon, Qinglin Li, et al.. (2004). Transforming Growth Factor-β Stimulates p300-dependent RUNX3 Acetylation, Which Inhibits Ubiquitination-mediated Degradation. Journal of Biological Chemistry. 279(28). 29409–29417. 186 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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