Jang‐Hee Kim

4.2k total citations
118 papers, 2.8k citations indexed

About

Jang‐Hee Kim is a scholar working on Oncology, Pulmonary and Respiratory Medicine and Molecular Biology. According to data from OpenAlex, Jang‐Hee Kim has authored 118 papers receiving a total of 2.8k indexed citations (citations by other indexed papers that have themselves been cited), including 29 papers in Oncology, 28 papers in Pulmonary and Respiratory Medicine and 27 papers in Molecular Biology. Recurrent topics in Jang‐Hee Kim's work include Cancer-related Molecular Pathways (10 papers), Thyroid Cancer Diagnosis and Treatment (8 papers) and Telomeres, Telomerase, and Senescence (8 papers). Jang‐Hee Kim is often cited by papers focused on Cancer-related Molecular Pathways (10 papers), Thyroid Cancer Diagnosis and Treatment (8 papers) and Telomeres, Telomerase, and Senescence (8 papers). Jang‐Hee Kim collaborates with scholars based in South Korea, United States and Canada. Jang‐Hee Kim's co-authors include Tae Jun Park, Young Hwa Kim, Yong Won Choi, Euy Young Soh, Jeonghun Lee, Jae Ho Han, Kwang Jae Lee, S. W. Cho, Sung Won Cho and Seung Soo Sheen and has published in prestigious journals such as Nature Communications, Journal of Clinical Oncology and Applied Physics Letters.

In The Last Decade

Jang‐Hee Kim

112 papers receiving 2.7k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jang‐Hee Kim South Korea 31 846 644 638 512 314 118 2.8k
Jan A. Bruijn Netherlands 41 735 0.9× 824 1.3× 956 1.5× 619 1.2× 232 0.7× 151 5.1k
Akihiro Kawauchi Japan 33 1.1k 1.3× 710 1.1× 925 1.4× 455 0.9× 149 0.5× 261 4.0k
Jin Ho Kim South Korea 31 848 1.0× 1.1k 1.8× 1.2k 1.8× 597 1.2× 206 0.7× 224 4.5k
Roberto Pola Italy 32 1.7k 2.1× 813 1.3× 363 0.6× 473 0.9× 410 1.3× 134 4.3k
Henrik Alfthan Finland 42 1.5k 1.8× 779 1.2× 1.1k 1.7× 803 1.6× 224 0.7× 135 5.7k
Gaetano Paludetti Italy 33 748 0.9× 1.0k 1.6× 714 1.1× 757 1.5× 487 1.6× 157 3.6k
Pierre Lévy France 32 576 0.7× 836 1.3× 533 0.8× 985 1.9× 248 0.8× 115 3.2k
Moshe Z. Papa Israel 37 1.3k 1.5× 902 1.4× 494 0.8× 909 1.8× 482 1.5× 111 4.3k
Rani Kanthan Canada 30 501 0.6× 852 1.3× 468 0.7× 571 1.1× 127 0.4× 128 2.9k
Takaaki Tsuchida Japan 34 1.3k 1.6× 389 0.6× 1.9k 3.0× 679 1.3× 438 1.4× 192 4.1k

Countries citing papers authored by Jang‐Hee Kim

Since Specialization
Citations

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

Fields of papers citing papers by Jang‐Hee Kim

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jang‐Hee Kim

This figure shows the co-authorship network connecting the top 25 collaborators of Jang‐Hee Kim. A scholar is included among the top collaborators of Jang‐Hee 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 Jang‐Hee Kim. Jang‐Hee 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.
Lee, Young‐Kyoung, Young Hwa Kim, So Hyun Park, et al.. (2024). Distribution and impact of p16INK4A+ senescent cells in elderly tissues: a focus on senescent immune cell and epithelial dysfunction. Experimental & Molecular Medicine. 56(12). 2631–2641. 2 indexed citations
2.
Roh, Tae Hoon, Yoshiaki Tanaka, Young Hwa Kim, et al.. (2024). High p16INK4A expression in glioblastoma is associated with senescence phenotype and better prognosis. Neoplasia. 60. 101116–101116. 1 indexed citations
3.
Park, So Yeon, et al.. (2023). Effects of Hyperlipidemia on the Pharmacokinetics of Tofacitinib, a JAK 1/3 Inhibitor, in Rats. Pharmaceutics. 15(9). 2195–2195. 2 indexed citations
4.
Park, Tae Jun, et al.. (2023). Senescent tumor cells in colorectal cancer are characterized by elevated enzymatic activity of complexes 1 and 2 in oxidative phosphorylation. Journal of Pathology and Translational Medicine. 57(6). 305–314. 3 indexed citations
5.
Lee, Ji Young, Minyoung Jung, Minji Kim, et al.. (2018). Natural course and prognostic factors of chronic urticaria in Korean children: A single center experience. Asian Pacific Journal of Allergy and Immunology. 37(1). 19–24. 10 indexed citations
6.
Kim, Chul‐Ho, et al.. (2018). Rare Concurrence of Congenital Muscular Torticollis and a Malignant Tumor in the Same Sternocleidomastoid Muscle. Annals of Rehabilitation Medicine. 42(1). 189–189. 2 indexed citations
7.
Yim, Hyunee, Yong‐Hee Lee, Jae Ho Han, et al.. (2015). Evaluation of the VE1 Antibody in Thyroid Cytology Using <i>Ex Vivo</i> Papillary Thyroid Carcinoma Specimens. Journal of Pathology and Translational Medicine. 50(1). 58–66. 10 indexed citations
8.
9.
Yim, Shin-Young, Dukyong Yoon, Myong Chul Park, et al.. (2013). Integrative analysis of congenital muscular torticollis: from gene expression to clinical significance. BMC Medical Genomics. 6(S2). S10–S10. 16 indexed citations
10.
Kim, Jang‐Hee, Yong Won Choi, Hyunee Yim, et al.. (2012). Gankyrin is frequently overexpressed in breast cancer and is associated with ErbB2 expression. Experimental and Molecular Pathology. 94(2). 360–365. 30 indexed citations
11.
Lee, Jae Myeong, et al.. (2009). Clinicopathologic review of 31 cases of solid pseudopapillary pancreatic tumors. 175–175. 1 indexed citations
12.
Jeong, Seong Hyun, Hyun Woo Lee, Jun Hyun Han, et al.. (2008). Low Expression of Bax Predicts Poor Prognosis in Resected Non-small Cell Lung Cancer Patients with Non-squamous Histology. Japanese Journal of Clinical Oncology. 38(10). 661–669. 30 indexed citations
13.
Lim, Joo Han, et al.. (2005). Prognostic value of activated Akt expression in oral squamous cell carcinoma. Journal of Clinical Pathology. 58(11). 1199–1205. 100 indexed citations
14.
Lee, Ho, et al.. (2004). Evaluation of Simplified Method of the Cardiac Conduction System Analysis and Sudden Death Resulting from the Cardiac Conduction System.. Korean Journal of Legal Medicine. 28(1). 10–17. 1 indexed citations
15.
Kang, Hyo Jeong, et al.. (2004). Asphyxia Due to Oxygen Deficiency: The Report of Two Autopsy Cases.. Korean Journal of Legal Medicine. 28(2). 47–51.
16.
Kim, Jang‐Hee, et al.. (2003). A Case of Acute Colchicine-induced Myopathy with Myotonia in Behcet Disease.. Journal of the Korean Neurological Association. 21(2). 220–223.
17.
Hong, Ji‐Man, et al.. (2002). A Case of Polymyositis associated with Hepatitis B infection. Journal of the Korean Neurological Association. 20(3). 315–317. 1 indexed citations
18.
Kim, Jang‐Hee, et al.. (1995). Absorbed Dose Measurement by the MIRD System in the $^{131}I$ Treated Thyroid Cancer Patients. The Korean Journal of Nuclear Medicine. 29(1). 54–60. 1 indexed citations
19.
Lee, Tae-Jin, et al.. (1993). CO Hydrogenation over Supported Iridium Catalysts Derived from Iridium Carbonyls. Korean Journal of Chemical Engineering. 31(5). 593–593. 1 indexed citations
20.
Park, Sanghyun, Jang‐Hee Kim, Tae‐Jin Lee, & Dong‐Hyun Kim. (1992). Methanation Kinetics of Carbon Oxides over Supported Ru and Ni Catalysts. Korean Journal of Chemical Engineering. 30(4). 423–423. 1 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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