Moonsik Kim

787 total citations
40 papers, 521 citations indexed

About

Moonsik Kim is a scholar working on Oncology, Pulmonary and Respiratory Medicine and Pathology and Forensic Medicine. According to data from OpenAlex, Moonsik Kim has authored 40 papers receiving a total of 521 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Oncology, 11 papers in Pulmonary and Respiratory Medicine and 9 papers in Pathology and Forensic Medicine. Recurrent topics in Moonsik Kim's work include Lung Cancer Treatments and Mutations (4 papers), Genetic factors in colorectal cancer (4 papers) and Lung Cancer Research Studies (4 papers). Moonsik Kim is often cited by papers focused on Lung Cancer Treatments and Mutations (4 papers), Genetic factors in colorectal cancer (4 papers) and Lung Cancer Research Studies (4 papers). Moonsik Kim collaborates with scholars based in South Korea and Russia. Moonsik Kim's co-authors include Hyo Sup Shim, Ji Young Park, Ji Yun Jeong, Jae Seok Lee, An Na Seo, Taek Chung, Ji Hee Lee, In‐Hong Choi, Woo Hee Jung and Winston Shim and has published in prestigious journals such as SHILAP Revista de lepidopterología, The Journal of Immunology and PLoS ONE.

In The Last Decade

Moonsik Kim

35 papers receiving 515 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Moonsik Kim South Korea 12 231 169 116 104 88 40 521
Dai‐Wei Liu Taiwan 13 115 0.5× 141 0.8× 123 1.1× 97 0.9× 131 1.5× 46 609
Yosuke Tajima Japan 15 140 0.6× 287 1.7× 257 2.2× 88 0.8× 165 1.9× 58 660
Matsuyoshi Maeda Japan 16 236 1.0× 215 1.3× 161 1.4× 74 0.7× 159 1.8× 54 682
Nicole Izykowski Germany 12 182 0.8× 112 0.7× 130 1.1× 79 0.8× 115 1.3× 14 548
N. Alberti France 11 148 0.6× 111 0.7× 58 0.5× 99 1.0× 66 0.8× 31 451
Louise Burke Ireland 15 386 1.7× 101 0.6× 198 1.7× 84 0.8× 200 2.3× 52 765
Mokrane Yacoub France 14 221 1.0× 75 0.4× 94 0.8× 53 0.5× 124 1.4× 29 437
Patricia C. Ewing‐Graham Netherlands 13 74 0.3× 192 1.1× 137 1.2× 181 1.7× 122 1.4× 39 528
Hirokatsu Katagiri Japan 13 189 0.8× 336 2.0× 183 1.6× 63 0.6× 114 1.3× 50 615
Kazunari Oobu Japan 12 121 0.5× 152 0.9× 216 1.9× 37 0.4× 100 1.1× 41 590

Countries citing papers authored by Moonsik Kim

Since Specialization
Citations

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

Fields of papers citing papers by Moonsik Kim

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Moonsik Kim

This figure shows the co-authorship network connecting the top 25 collaborators of Moonsik Kim. A scholar is included among the top collaborators of Moonsik 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 Moonsik Kim. Moonsik 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.
Kim, Moonsik, et al.. (2025). A cluster attention-based multiple instance learning network for enhancing histopathological image interpretation. Computers in Biology and Medicine. 193. 110353–110353.
2.
Kim, Yo‐Han, et al.. (2025). Investigation of characteristics and classification for swine vertebral osteomyelitis in South Korea. BMC Veterinary Research. 21(1). 192–192.
3.
4.
Ando, Yukio, Moonsik Kim, Jee-Young Park, et al.. (2025). 1553 Enhancing Diagnostic Interpretation in Histopathological Image Analysis through a Cluster Attention Method. Laboratory Investigation. 105(3). 103795–103795. 1 indexed citations
5.
Kim, Sujeong, et al.. (2025). Expression of insulinoma-associated protein 1 (INSM1) in gastric neuroendocrine and non-neuroendocrine neoplasms. Discover Oncology. 16(1). 754–754. 1 indexed citations
6.
Ahn, Soomin, Yoonjin Kwak, Gui Young Kwon, et al.. (2024). Interpretation of PD-L1 expression in gastric cancer: summary of a consensus meeting of Korean gastrointestinal pathologists. Journal of Pathology and Translational Medicine. 58(3). 103–116. 4 indexed citations
7.
Kim, Moonsik, et al.. (2024). Expression of claudin 18.2 in poorly cohesive carcinoma and its association with clinicopathologic parameters in East Asian patients. Pathology - Research and Practice. 263. 155628–155628. 2 indexed citations
8.
Kim, Jinhee, et al.. (2023). Deep Learning Prediction of TERT Promoter Mutation Status in Thyroid Cancer Using Histologic Images. Medicina. 59(3). 536–536. 9 indexed citations
9.
Park, Ki Bum, An Na Seo, & Moonsik Kim. (2023). Gastric cancer with distinct Epstein–Barr virus-positive and -negative tumor components and their whole exome sequencing result: a case Report. Diagnostic Pathology. 18(1). 81–81. 1 indexed citations
10.
Kim, Moonsik, Ji Yun Jeong, & An Na Seo. (2023). Biomarkers for Predicting Response to Personalized Immunotherapy in Gastric Cancer. Diagnostics. 13(17). 2782–2782. 6 indexed citations
11.
Park, Ji Hyun, Hee Jin Cho, Ki Bum Park, et al.. (2023). Genetic landscape and PD-L1 expression in Epstein–Barr virus-associated gastric cancer according to the histological pattern. Scientific Reports. 13(1). 19487–19487.
12.
Kim, Moonsik, Jinhee Kim, Ji Young Park, & Ji Young Park. (2022). Comparison of Seegene Anyplex II HPV28 assay with BD Onclarity HPV assay for human papillomavirus genotyping. PLoS ONE. 17(7). e0267836–e0267836. 1 indexed citations
13.
Kim, Moonsik, Ji Yun Jeong, Ji Young Park, & Ji Young Park. (2022). Clinical Utility of Next-generation Sequencing in Real-world Cases: A Single-institution Study of Nine Cases. In Vivo. 36(3). 1397–1407. 1 indexed citations
14.
Kim, Jinhee, et al.. (2022). Evaluation of the characteristics of multiple human papillomavirus (HPV) infections identified using the BD Onclarity HPV assay and comparison with those of single HPV infection. Journal of Pathology and Translational Medicine. 56(5). 289–293. 9 indexed citations
15.
Kim, Moonsik, Ji Young Park, & Ji Yun Jeong. (2021). Multiple Human Papilloma Virus (HPV) Infections Are Associated with HSIL and Persistent HPV Infection Status in Korean Patients. Viruses. 13(7). 1342–1342. 56 indexed citations
16.
Jeong, Ji Yun, et al.. (2021). Genomic Profiling of Aggressive Thyroid Cancer in Association With its Clinicopathological Characteristics. In Vivo. 36(1). 111–120. 9 indexed citations
17.
Park, Cheol Keun, et al.. (2020). HNF-1β as an immunohistochemical marker for distinguishing chromophobe renal cell carcinoma and hybrid oncocytic tumors from renal oncocytoma. Archiv für Pathologische Anatomie und Physiologie und für Klinische Medicin. 478(3). 459–470. 1 indexed citations
18.
19.
Lee, Soo Young, et al.. (2006). System Integration and Real-Time HILS System Design of KAAS System. 한국자동차공학회 춘 추계 학술대회 논문집. 1562–1567. 2 indexed citations
20.
Kim, Moonsik. (1995). Arthroscopic Decompresson of Subacromial Impingement Syndrome. 48–50.

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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