Eejung Kim

1.5k total citations
10 papers, 311 citations indexed

About

Eejung Kim is a scholar working on Cancer Research, Oncology and Molecular Biology. According to data from OpenAlex, Eejung Kim has authored 10 papers receiving a total of 311 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Cancer Research, 4 papers in Oncology and 3 papers in Molecular Biology. Recurrent topics in Eejung Kim's work include Cancer Genomics and Diagnostics (4 papers), Pancreatic and Hepatic Oncology Research (2 papers) and Ovarian cancer diagnosis and treatment (2 papers). Eejung Kim is often cited by papers focused on Cancer Genomics and Diagnostics (4 papers), Pancreatic and Hepatic Oncology Research (2 papers) and Ovarian cancer diagnosis and treatment (2 papers). Eejung Kim collaborates with scholars based in United States, Netherlands and Denmark. Eejung Kim's co-authors include William C. Hahn, Rhine R. Shen, Alicia Y. Zhou, Elgene Lim, Hasem Habelhah, Ming Xu, Joshua D. Campbell, Zhijian J. Chen, Joyce F. Liu and Alireza Kashani and has published in prestigious journals such as Journal of Clinical Oncology, PLoS ONE and Molecular and Cellular Biology.

In The Last Decade

Eejung Kim

10 papers receiving 308 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Eejung Kim United States	6	182	149	69	63	61	10	311
Dalong Cao China	8	221 1.2×	148 1.0×	68 1.0×	116 1.8×	46 0.8×	18	361
Rossitza Christova United Kingdom	8	235 1.3×	101 0.7×	71 1.0×	84 1.3×	55 0.9×	13	372
Paul Allegakoen United States	4	203 1.1×	146 1.0×	128 1.9×	85 1.3×	26 0.4×	8	336
Eric Kofman United States	9	181 1.0×	85 0.6×	100 1.4×	63 1.0×	77 1.3×	15	342
Y H Gao China	3	305 1.7×	173 1.2×	56 0.8×	24 0.4×	29 0.5×	7	386
Camilla Avivi Israel	5	242 1.3×	138 0.9×	218 3.2×	41 0.7×	68 1.1×	6	409
Zhangxiang Zhao China	9	199 1.1×	158 1.1×	77 1.1×	67 1.1×	22 0.4×	25	289
Martin H. Pedersen Denmark	4	195 1.1×	142 1.0×	128 1.9×	98 1.6×	48 0.8×	4	333
Kalle Ojala Finland	6	236 1.3×	76 0.5×	85 1.2×	38 0.6×	35 0.6×	12	334
Chenyi Zhou China	11	196 1.1×	71 0.5×	95 1.4×	62 1.0×	30 0.5×	20	299

Countries citing papers authored by Eejung Kim

Since Specialization

Citations

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

Fields of papers citing papers by Eejung Kim

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Eejung Kim

This figure shows the co-authorship network connecting the top 25 collaborators of Eejung Kim. A scholar is included among the top collaborators of Eejung 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 Eejung Kim. Eejung Kim is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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10 of 10 papers shown

Dilly, Julien, Eejung Kim, Lo Lai, et al.. (2025). Abstract 5507: Mechanisms of resistance to RAS-GTP inhibition in pancreatic cancer. Cancer Research. 85(8_Supplement_1). 5507–5507. 1 indexed citations

Kim, Sunkyu, Seung‐seob Kim, Eejung Kim, et al.. (2024). Deep-Transfer-Learning–Based Natural Language Processing of Serial Free-Text Computed Tomography Reports for Predicting Survival of Patients With Pancreatic Cancer. JCO Clinical Cancer Informatics. 8(8). e2400021–e2400021. 2 indexed citations

Safyan, Rachael A., Eejung Kim, Marjolein Y.V. Homs, et al.. (2024). Multidisciplinary Standards and Evolving Therapies for Patients With Pancreatic Cancer. American Society of Clinical Oncology Educational Book. 44(3). e438598–e438598. 1 indexed citations

Koga, Yusuke, Hanbing Song, Zachary R. Chalmers, et al.. (2020). Genomic Profiling of Prostate Cancers from Men with African and European Ancestry. Clinical Cancer Research. 26(17). 4651–4660. 58 indexed citations

Kim, Eejung, Sarah Palackdharry, Alice L. Tang, et al.. (2018). Gene expression signature after one dose of neoadjuvant pembrolizumab associated with tumor response in head and neck squamous cell carcinoma (HNSCC).. Journal of Clinical Oncology. 36(15_suppl). 6059–6059. 3 indexed citations

Horn, Heiko, Michael S. Lawrence, Candace R. Chouinard, et al.. (2017). NetSig: network-based discovery from cancer genomes. Nature Methods. 15(1). 61–66. 67 indexed citations

Luo, Leo Y., Eejung Kim, Hiu Wing Cheung, et al.. (2014). The Tyrosine Kinase Adaptor Protein FRS2 Is Oncogenic and Amplified in High-Grade Serous Ovarian Cancer. Molecular Cancer Research. 13(3). 502–509. 29 indexed citations

Zhou, Alicia Y., Rhine R. Shen, Eejung Kim, et al.. (2013). IKKε-Mediated Tumorigenesis Requires K63-Linked Polyubiquitination by a cIAP1/cIAP2/TRAF2 E3 Ubiquitin Ligase Complex. Cell Reports. 3(3). 724–733. 57 indexed citations

Shen, Rhine R., Alicia Y. Zhou, Eejung Kim, et al.. (2012). IκB Kinase ε Phosphorylates TRAF2 To Promote Mammary Epithelial Cell Transformation. Molecular and Cellular Biology. 32(23). 4756–4768. 54 indexed citations

10.

Matulonis, Ursula A., Michelle S. Hirsch, Emanuele Palescandolo, et al.. (2011). High Throughput Interrogation of Somatic Mutations in High Grade Serous Cancer of the Ovary. PLoS ONE. 6(9). e24433–e24433. 39 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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