Hyun Min Koh

625 total citations
41 papers, 427 citations indexed

About

Hyun Min Koh is a scholar working on Molecular Biology, Oncology and Immunology. According to data from OpenAlex, Hyun Min Koh has authored 41 papers receiving a total of 427 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Molecular Biology, 15 papers in Oncology and 10 papers in Immunology. Recurrent topics in Hyun Min Koh's work include Cancer Cells and Metastasis (6 papers), Extracellular vesicles in disease (6 papers) and S100 Proteins and Annexins (5 papers). Hyun Min Koh is often cited by papers focused on Cancer Cells and Metastasis (6 papers), Extracellular vesicles in disease (6 papers) and S100 Proteins and Annexins (5 papers). Hyun Min Koh collaborates with scholars based in South Korea, United States and Japan. Hyun Min Koh's co-authors include Dae Hyun Song, Dong Chul Kim, Bo Gun Jang, Mingon Kang, Chang Lim Hyun, Hyun Ju Lee, Jie Hao, Gyung Hyuck Ko, Young Hee Maeng and Jong Sil Lee and has published in prestigious journals such as Scientific Reports, Medicine and Methods.

In The Last Decade

Hyun Min Koh

39 papers receiving 426 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Hyun Min Koh South Korea	12	200	125	97	89	61	41	427
Natalie D. ter Hoeve Netherlands	13	205 1.0×	90 0.7×	169 1.7×	118 1.3×	48 0.8×	31	533
Mengwan Wu China	11	148 0.7×	77 0.6×	184 1.9×	90 1.0×	60 1.0×	19	415
Ondina Popescu Italy	13	190 0.9×	64 0.5×	139 1.4×	86 1.0×	83 1.4×	24	430
Lamin Juwara United States	12	305 1.5×	85 0.7×	143 1.5×	148 1.7×	39 0.6×	46	586
Min‐Sun Jin South Korea	13	165 0.8×	77 0.6×	126 1.3×	85 1.0×	40 0.7×	32	457
Encheng Zhang China	10	150 0.8×	115 0.9×	109 1.1×	85 1.0×	19 0.3×	23	365
Daiki Taniyama Japan	14	277 1.4×	108 0.9×	267 2.8×	123 1.4×	55 0.9×	46	527
Yongxiang Song China	14	183 0.9×	191 1.5×	76 0.8×	117 1.3×	73 1.2×	35	471
Yangshan Chen China	11	200 1.0×	106 0.8×	167 1.7×	146 1.6×	75 1.2×	17	454
Hae Min Jeong South Korea	11	174 0.9×	145 1.2×	167 1.7×	118 1.3×	32 0.5×	19	457

Countries citing papers authored by Hyun Min Koh

Since Specialization

Citations

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

Fields of papers citing papers by Hyun Min Koh

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Hyun Min Koh. 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 Hyun Min Koh. The network helps show where Hyun Min Koh may publish in the future.

Co-authorship network of co-authors of Hyun Min Koh

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

All Works

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20 of 20 papers shown

Koh, Hyun Min, Nayoung Han, & Chang Lim Hyun. (2025). Prognostic and clinicopathological significance of long noncoding RNA SNHG in patients with breast cancer: A systematic review and meta-analysis. Medicine. 104(8). e41668–e41668.

Koh, Hyun Min, et al.. (2022). The association between ephrin receptor-A1 expression and survival in patients with cancer: a meta-analysis. Translational Cancer Research. 11(6). 1587–1594. 3 indexed citations

Kim, Hye Sung, Hyun Joo Song, Heung Up Kim, et al.. (2021). Expression profile of intestinal stem cell and cancer stem cell markers in gastric cancers with submucosal invasion. Pathology - Research and Practice. 218. 153336–153336. 3 indexed citations

Lee, Hyun Ju, Jae Kyung Myung, Hye Sung Kim, et al.. (2021). Expression of LGR5 in mammary myoepithelial cells and in triple-negative breast cancers. Scientific Reports. 11(1). 17750–17750. 11 indexed citations

Koh, Hyun Min, Chang Lim Hyun, Bo Gun Jang, & Hyun Ju Lee. (2021). CXCR3 expression as a prognostic factor in gastric cancer: a meta-analysis. Translational Cancer Research. 10(3). 1449–1456. 5 indexed citations

Koh, Hyun Min, et al.. (2021). Classification of colorectal cancer in histological images using deep neural networks: an investigation. Multimedia Tools and Applications. 80(28-29). 35941–35953. 8 indexed citations

Koh, Hyun Min, Bo Gun Jang, & Dong Chul Kim. (2020). Prognostic Value of CD63 Expression in Solid Tumors: A Meta-analysis of the Literature. In Vivo. 34(5). 2209–2215. 6 indexed citations

Yang, Jung Wook, Jeong-Hee Lee, Jong Sil Lee, et al.. (2020). Characteristics of Gastric Carcinomas With High ERCC1 Expression and the Prognostic Value of ERCC1 Expression. Anticancer Research. 40(6). 3203–3208. 1 indexed citations

Koh, Hyun Min, Chang Lim Hyun, Bo Gun Jang, & Hyun Ju Lee. (2020). Ephrin Receptor B2 Expression May Be a Prognostic Marker for Patients With Cancer: A Meta-analysis. Anticancer Research. 40(8). 4309–4317. 4 indexed citations

10.

Koh, Hyun Min, et al.. (2019). Apolipoprotein E is a predictive marker for assessing non-small cell lung cancer patients with lymph node metastasis. Pathology - Research and Practice. 215(10). 152607–152607. 14 indexed citations

11.

Jeong, Sang-Ho, Rock Bum Kim, Ji-Ho Park, et al.. (2019). Nomogram for predicting gastric cancer recurrence using biomarker gene expression. European Journal of Surgical Oncology. 46(1). 195–201. 75 indexed citations

12.

Song, Dae Hyun, Hyun Min Koh, Gyung Hyuck Ko, et al.. (2019). Myoferlin silencing inhibits VEGFR2-mediated proliferation of metastatic clear cell renal cell carcinoma. Scientific Reports. 9(1). 12656–12656. 8 indexed citations

13.

Koh, Hyun Min, et al.. (2019). New P16 Expression Criteria Predict Lymph Node Metastasis in Patients With Non-small Cell Lung Cancer. In Vivo. 33(6). 1885–1892. 2 indexed citations

14.

Koh, Hyun Min, et al.. (2019). S100A8 Expression May Have a Prognostic Value in CCRCC Reflecting TNM Staging and Fuhrman Nuclear Grade. Anticancer Research. 39(9). 4681–4685. 4 indexed citations

15.

Kang, Seok‐Min, Jung Wook Yang, Joo Jeong, et al.. (2019). Size distribution of serum extracellular vesicles in mice with atherosclerosis. Pathology - Research and Practice. 215(10). 152574–152574. 2 indexed citations

16.

Koh, Hyun Min, Gyung Hyuck Ko, Anthony Lee, et al.. (2018). Prognostic Role of S100A8 and S100A9 Protein Expressions in Non-small Cell Carcinoma of the Lung. Journal of Pathology and Translational Medicine. 53(1). 13–22. 16 indexed citations

17.

Koh, Hyun Min & Dae Hyun Song. (2018). Prognostic role of Rab27A and Rab27B expression in patients with non‐small cell lung carcinoma. Thoracic Cancer. 10(2). 143–149. 22 indexed citations

18.

Koh, Hyun Min, et al.. (2016). Aurora Kinase A Is a Prognostic Marker in Colorectal Adenocarcinoma. Journal of Pathology and Translational Medicine. 51(1). 32–39. 25 indexed citations

19.

Koh, Hyun Min, et al.. (2016). A Rare Case of Nodular Mucinosis of the Breast. Journal of Pathology and Translational Medicine. 51(3). 332–334. 6 indexed citations

20.

Siegmund, Kimberly D., Mihaela Campan, Joanne Young, et al.. (2006). CpG Island Methylator Phenotype in Human Colorectal Cancer Is Tightly Associated with BRAF Mutation and Underlies Sporadic Mismatch Repair Deficiency.. UCL Discovery (University College London). 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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