Yu Jung Kim

8.9k total citations
247 papers, 5.1k citations indexed

About

Yu Jung Kim is a scholar working on Oncology, Pulmonary and Respiratory Medicine and Public Health, Environmental and Occupational Health. According to data from OpenAlex, Yu Jung Kim has authored 247 papers receiving a total of 5.1k indexed citations (citations by other indexed papers that have themselves been cited), including 130 papers in Oncology, 91 papers in Pulmonary and Respiratory Medicine and 49 papers in Public Health, Environmental and Occupational Health. Recurrent topics in Yu Jung Kim's work include Palliative Care and End-of-Life Issues (41 papers), Lung Cancer Treatments and Mutations (35 papers) and Cancer survivorship and care (27 papers). Yu Jung Kim is often cited by papers focused on Palliative Care and End-of-Life Issues (41 papers), Lung Cancer Treatments and Mutations (35 papers) and Cancer survivorship and care (27 papers). Yu Jung Kim collaborates with scholars based in South Korea, United States and Ethiopia. Yu Jung Kim's co-authors include Jee Hyun Kim, Jong Seok Lee, Se Hyun Kim, So Yeon Park, Keun‐Wook Lee, Eunyoung Kang, In Ah Kim, Jin Won Kim, Dae Seog Heo and Tae Min Kim and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Journal of Clinical Oncology.

In The Last Decade

Yu Jung Kim

233 papers receiving 5.0k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yu Jung Kim South Korea 35 2.5k 1.6k 1.0k 729 657 247 5.1k
Salomon M. Stemmer Israel 46 5.0k 2.0× 1.6k 1.0× 2.0k 1.9× 1.7k 2.3× 776 1.2× 237 8.5k
Sarah Landis United States 24 2.1k 0.9× 2.4k 1.5× 1.4k 1.4× 677 0.9× 392 0.6× 49 6.4k
Linda Mileshkin Australia 40 3.2k 1.3× 938 0.6× 1.6k 1.5× 979 1.3× 411 0.6× 273 6.6k
Laura F. Hutchins United States 40 4.0k 1.6× 1.7k 1.1× 1.7k 1.6× 1.5k 2.0× 575 0.9× 121 7.2k
Carol J. Etzel United States 37 993 0.4× 1.1k 0.7× 1.4k 1.3× 791 1.1× 300 0.5× 128 4.6k
Tomohiro Matsuda Japan 33 2.2k 0.9× 1.5k 0.9× 781 0.7× 507 0.7× 531 0.8× 140 5.3k
Timothy Perren United Kingdom 42 3.0k 1.2× 902 0.6× 1.4k 1.4× 873 1.2× 400 0.6× 151 6.6k
Ali Shamseddine Lebanon 39 2.3k 0.9× 1.1k 0.7× 1.6k 1.6× 1.1k 1.5× 205 0.3× 249 5.6k
Thomas C. Shea United States 38 2.5k 1.0× 935 0.6× 1.6k 1.5× 296 0.4× 563 0.9× 172 5.6k
Melvin L.K. Chua Singapore 32 2.3k 0.9× 1.1k 0.7× 842 0.8× 742 1.0× 278 0.4× 167 5.1k

Countries citing papers authored by Yu Jung Kim

Since Specialization
Citations

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

Fields of papers citing papers by Yu Jung Kim

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yu Jung Kim

This figure shows the co-authorship network connecting the top 25 collaborators of Yu Jung Kim. A scholar is included among the top collaborators of Yu Jung 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 Yu Jung Kim. Yu Jung 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
1.
Hwang, Kihwan, Jung Ho Han, Hyoung Soo Choi, et al.. (2025). Treatment Outcomes and Prognostic Factors of Intracranial Germ Cell Tumors: A Single Institution Retrospective Study. Brain Tumor Research and Treatment. 13(2). 45–45.
2.
Yun, Je‐Yeon, Bhumsuk Keam, Na‐Ri Lee, et al.. (2024). Depression, performance status, and discontinued treatment mediate an association of curability belief with prognosis in advanced cancer patients. Scientific Reports. 14(1). 29098–29098.
3.
Kim, Se Hyun, Sejoon Lee, Min-Su Kang, et al.. (2024). Association of TP53 Mutation Status and Sex with Clinical Outcome in Non–Small Cell Lung Cancer Treated with Immune Checkpoint Inhibitors: A Retrospective Cohort Study. Cancer Research and Treatment. 57(1). 70–82. 1 indexed citations
4.
Jung, Eun Hee, Yusuke Hiratsuka, Sang‐Yeon Suh, et al.. (2024). Clinicians’ Prediction of Survival Is Most Useful for Palliative Care Referral. SHILAP Revista de lepidopterología. 5(1). 365–372.
5.
Lee, Ji Yun, Ju Hyun Lee, Min-Su Kang, et al.. (2024). Skeletal-Related Events in Patients With Multiple Myeloma: A Comprehensive Retrospective Cohort Study. Journal of Korean Medical Science. 39(22). e175–e175. 1 indexed citations
7.
Cho, Songhee, et al.. (2021). Underutilisation of Physical Rehabilitation Therapy by Cancer Patients in Korea: a Population-based Study of 958,928 Korean Cancer Patients. Journal of Korean Medical Science. 36(46). e304–e304. 2 indexed citations
8.
Lee, Ji Yun, Min-Su Kang, Koung Jin Suh, et al.. (2020). Pneumocystis jirovecii pneumonia in diffuse large B‐cell Lymphoma treated with R‐CHOP. Mycoses. 64(1). 60–65. 8 indexed citations
9.
Kwon, Jihyun, Kui‐Jin Kim, Koung Jin Suh, et al.. (2019). Afatinib Overcomes Pemetrexed-Acquired Resistance in Non-Small Cell Lung Cancer Cells Harboring an EML4-ALK Rearrangement. Cells. 8(12). 1538–1538. 9 indexed citations
10.
Han, Jae Joon, Jin Won Kim, Koung Jin Suh, et al.. (2019). Clinical characteristics and outcomes of patients enrolled in clinical trials compared with those of patients outside clinical trials in advanced gastric cancer. Asia-Pacific Journal of Clinical Oncology. 15(3). 158–165. 4 indexed citations
11.
Choe, Hun Jee, Jin Won Kim, Jin Won Kim, et al.. (2019). Conversion Surgery in Metastatic Gastric Cancer and Cancer Dormancy as a Prognostic Biomarker. Cancers. 12(1). 86–86. 22 indexed citations
12.
Choi, In Sil, Jee Hyun Kim, Ju Hyun Lee, et al.. (2018). A population-based outcomes study of patients with metastatic gastric cancer receiving second-line chemotherapy: A nationwide health insurance database study. PLoS ONE. 13(10). e0205853–e0205853. 8 indexed citations
13.
Park, Sehhoon, Jin Won Kim, Haeryoung Kim, et al.. (2017). Prognostic value of p21‐activated kinase 4 in resected pancreatic cancer. Apmis. 125(8). 699–707. 12 indexed citations
14.
Seo, An Na, Hee Jin Lee, Eun Joo Kim, et al.. (2016). Expression of breast cancer stem cell markers as predictors of prognosis and response to trastuzumab in HER2-positive breast cancer. British Journal of Cancer. 114(10). 1109–1116. 37 indexed citations
15.
Jang, Min Hye, Yul Ri Chung, Eunyoung Kang, et al.. (2016). Prognostic significance of centromere 17 copy number gain in breast cancer depends on breast cancer subtype. Human Pathology. 61. 111–120. 10 indexed citations
16.
Lee, Yoontaek, Eunyoung Kang, Eun‐Kyu Kim, et al.. (2015). Outcomes and recurrence patterns according to breast cancer subtypes in Korean women. Breast Cancer Research and Treatment. 151(1). 183–190. 17 indexed citations
17.
18.
Kim, Miso, Hyun Chang, Hee Chul Yang, et al.. (2014). Preoperative thrombocytosis is a significant unfavorable prognostic factor for patients with resectable non-small cell lung cancer. World Journal of Surgical Oncology. 12(1). 37–37. 32 indexed citations
20.
Kim, Yu Jung, Min A Kim, Seock‐Ah Im, et al.. (2008). Metastasis-Associated Protein S100A4 and p53 Predict Relapse in Curatively Resected Stage III and IV (M0) Gastric Cancer. Cancer Investigation. 26(2). 152–158. 24 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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