Jun Kang

1.1k total citations
52 papers, 550 citations indexed

About

Jun Kang is a scholar working on Oncology, Molecular Biology and Cancer Research. According to data from OpenAlex, Jun Kang has authored 52 papers receiving a total of 550 indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Oncology, 17 papers in Molecular Biology and 15 papers in Cancer Research. Recurrent topics in Jun Kang's work include Cancer Genomics and Diagnostics (9 papers), HER2/EGFR in Cancer Research (7 papers) and Ovarian cancer diagnosis and treatment (6 papers). Jun Kang is often cited by papers focused on Cancer Genomics and Diagnostics (9 papers), HER2/EGFR in Cancer Research (7 papers) and Ovarian cancer diagnosis and treatment (6 papers). Jun Kang collaborates with scholars based in South Korea, United States and China. Jun Kang's co-authors include Ahwon Lee, Gyungyub Gong, Ho Yun Lee, Hee Jin Lee, In Hye Song, Hee Jin Lee, Hyun Jung Yoon, Seung-Hak Lee, Insuk Sohn and Hyunjin Park and has published in prestigious journals such as PLoS ONE, Oncogene and Scientific Reports.

In The Last Decade

Jun Kang

41 papers receiving 546 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jun Kang South Korea 15 243 198 160 138 124 52 550
Maria Maddalena Tumedei Italy 15 286 1.2× 165 0.8× 296 1.9× 88 0.6× 213 1.7× 46 632
Babak Litkouhi United States 16 243 1.0× 167 0.8× 88 0.6× 109 0.8× 81 0.7× 39 697
Maurizio Puccetti Italy 14 278 1.1× 142 0.7× 351 2.2× 85 0.6× 198 1.6× 44 598
Marie‐Christine Baranzelli France 12 219 0.9× 145 0.7× 185 1.2× 54 0.4× 169 1.4× 32 531
Ningning Dong China 11 178 0.7× 194 1.0× 93 0.6× 99 0.7× 142 1.1× 20 479
Gang Cai China 15 183 0.8× 105 0.5× 123 0.8× 91 0.7× 225 1.8× 47 524
Ka‐Won Noh Germany 13 204 0.8× 97 0.5× 172 1.1× 54 0.4× 92 0.7× 22 402
Liangqing Dong China 13 258 1.1× 272 1.4× 160 1.0× 134 1.0× 189 1.5× 22 736
Assia Bassarova Norway 15 193 0.8× 206 1.0× 97 0.6× 37 0.3× 108 0.9× 26 495
Marilisa Cargnelutti Italy 9 221 0.9× 270 1.4× 100 0.6× 48 0.3× 132 1.1× 10 521

Countries citing papers authored by Jun Kang

Since Specialization
Citations

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

Fields of papers citing papers by Jun Kang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jun Kang

This figure shows the co-authorship network connecting the top 25 collaborators of Jun Kang. A scholar is included among the top collaborators of Jun Kang 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 Jun Kang. Jun Kang 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
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Kim, Sung Hun, Se Jun Park, Ahwon Lee, et al.. (2025). Skeletal Muscle Density as a Predictive Marker for Pathologic Complete Response in Triple-Negative Breast Cancer Treated with Neoadjuvant Chemoimmunotherapy. Cancers. 17(11). 1768–1768. 1 indexed citations
4.
Lee, Miseon, Tae-Kyung Yoo, Byung Joo Chae, et al.. (2024). Luminal androgen receptor subtype and tumor-infiltrating lymphocytes groups based on triple-negative breast cancer molecular subclassification. Scientific Reports. 14(1). 11278–11278. 3 indexed citations
5.
Lee, Miseon, Keun Ho Lee, Sung Jong Lee, et al.. (2024). Prognostic Significance of the Immune Microenvironment in Endometrial Cancer. Laboratory Investigation. 104(9). 102126–102126. 1 indexed citations
6.
Zhang, Huanhuan, Jun Kang, Zhuo Liu, et al.. (2024). Enhancing QoE of Adaptive Video Streaming by Generating Fine-Grained Throughput. IEEE Transactions on Circuits and Systems for Video Technology. 35(4). 3853–3866.
7.
Lee, Young Sub, Jun Kang, Eun Sun Jung, & Ahwon Lee. (2023). High Expression of NRF2 and Low Expression of KEAP1 Predict Worse Survival in Patients With Operable Triple-Negative Breast Cancer. Journal of Breast Cancer. 26(5). 461–461. 6 indexed citations
8.
Kang, Jun, et al.. (2023). Case 10: A 30-Year-Old Woman With Breast Mass and Family History of Cancer. Journal of Korean Medical Science. 38(18). e138–e138.
9.
Lee, Sung Hak, Ahwon Lee, Jun Kang, et al.. (2023). Single-center study on clinicopathological and typical molecular pathologic features of metastatic brain tumor. Journal of Pathology and Translational Medicine. 57(4). 217–231.
10.
Lee, Miseon, Jun Kang, Sook Hee Hong, et al.. (2023). Enhanced Risk Stratification in Early-Stage Endometrial Cancer: Integrating POLE through Droplet Digital PCR and L1CAM. Cancers. 15(19). 4899–4899. 8 indexed citations
11.
Yoo, Tae-Kyung, Ahwon Lee, Jun Kang, et al.. (2022). Avoiding unnecessary intraoperative sentinel lymph node frozen section biopsy of patients with early breast cancer. Annals of Surgical Treatment and Research. 102(5). 241–241. 4 indexed citations
12.
Lee, Seung Eun, Mi‐Sook Lee, Yoon Kyung Jeon, et al.. (2022). Interlaboratory Comparison Study (Ring Test) of Next-Generation Sequencing–Based NTRK Fusion Detection in South Korea. Cancer Research and Treatment. 55(1). 28–40. 3 indexed citations
13.
Park, Ye‐Lim, Hwang‐Phill Kim, Chan‐Young Ock, et al.. (2022). EMT-mediated regulation of CXCL1/5 for resistance to anti-EGFR therapy in colorectal cancer. Oncogene. 41(14). 2026–2038. 17 indexed citations
14.
Song, In Hye, et al.. (2022). Molecular and immunohistochemical comparison between primary gastrointestinal mucosal melanomas and atypical gastrointestinal stromal tumors. Pathology - Research and Practice. 240. 154189–154189. 1 indexed citations
15.
Lee, Chul Seung, In Hye Song, Ahwon Lee, et al.. (2021). Enhancing the landscape of colorectal cancer using targeted deep sequencing. Scientific Reports. 11(1). 8154–8154. 39 indexed citations
16.
Lee, Jieun, et al.. (2019). Notch1 in Tumor Microvascular Endothelial Cells and Tumoral miR-34a as Prognostic Markers in Locally Advanced Triple-Negative Breast Cancer. Journal of Breast Cancer. 22(4). 562–562. 12 indexed citations
17.
Park, Hyunjin, Ho Yun Lee, Insuk Sohn, et al.. (2018). Deciphering Clinicoradiologic Phenotype for Thymidylate Synthase Expression Status in Patients with Advanced Lung Adenocarcinoma Using a Radiomics Approach. Scientific Reports. 8(1). 8968–8968. 11 indexed citations
18.
Kim, Si‐Hyun, et al.. (2016). Dermatophyte abscesses caused by Trichophyton rubrum in a patient without pre-existing superficial dermatophytosis: a case report. BMC Infectious Diseases. 16(1). 298–298. 23 indexed citations
19.
Kang, Jun, Hee Jin Lee, Sun‐Young Jun, Eun Su Park, & Lee-So Maeng. (2015). Cancer-Testis Antigen Expression in Serous Endometrial Cancer with Loss of X Chromosome Inactivation. PLoS ONE. 10(9). e0137476–e0137476. 11 indexed citations
20.
Koh, Young Wha, Hee Jin Lee, Jong Won Lee, Jun Kang, & Gyungyub Gong. (2011). Dual-color silver-enhanced in situ hybridization for assessing HER2 gene amplification in breast cancer. Modern Pathology. 24(6). 794–800. 40 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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