Sangsoo Kim

4.2k total citations · 1 hit paper
73 papers, 2.3k citations indexed

About

Sangsoo Kim is a scholar working on Molecular Biology, Genetics and Cancer Research. According to data from OpenAlex, Sangsoo Kim has authored 73 papers receiving a total of 2.3k indexed citations (citations by other indexed papers that have themselves been cited), including 40 papers in Molecular Biology, 25 papers in Genetics and 8 papers in Cancer Research. Recurrent topics in Sangsoo Kim's work include Bioinformatics and Genomic Networks (15 papers), Genetic Associations and Epidemiology (11 papers) and Gene expression and cancer classification (9 papers). Sangsoo Kim is often cited by papers focused on Bioinformatics and Genomic Networks (15 papers), Genetic Associations and Epidemiology (11 papers) and Gene expression and cancer classification (9 papers). Sangsoo Kim collaborates with scholars based in South Korea, United States and Puerto Rico. Sangsoo Kim's co-authors include Jung Kyoon Choi, Ook Joon Yoo, Ung-Sik Yu, Chu‐Xia Deng, Zheng Yin, Zhi‐Ming Zheng, Ettore Appella, Kundan Sengupta, Xin Wei Wang and Rong Jia and has published in prestigious journals such as Journal of the American Chemical Society, Nucleic Acids Research and Nature Communications.

In The Last Decade

Sangsoo Kim

68 papers receiving 2.3k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Impaired DNA Damage Response, Genome Instability, and Tumorigenesis in SIRT1 Mutant Mice

2008 634 citations Sangsoo Kim et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Sangsoo Kim South Korea	22	1.2k	441	385	350	212	73	2.3k
Bin Fang United States	36	2.5k 2.2×	155 0.4×	370 1.0×	266 0.8×	987 4.7×	142	4.5k
Phuongmai Nguyen United States	23	2.0k 1.7×	666 1.5×	422 1.1×	188 0.5×	430 2.0×	31	2.9k
Xiao‐Nan Li United States	34	2.0k 1.7×	56 0.1×	286 0.7×	279 0.8×	813 3.8×	169	3.7k
Christian Münch Germany	28	2.8k 2.3×	195 0.4×	873 2.3×	153 0.4×	385 1.8×	91	4.4k
Stanley R. Terlecky United States	29	2.4k 2.0×	99 0.2×	1.2k 3.0×	81 0.2×	115 0.5×	53	3.8k
Nicolas L. Young United States	28	2.2k 1.9×	339 0.8×	287 0.7×	153 0.4×	240 1.1×	59	2.9k
Jesse G. Meyer United States	22	1.1k 1.0×	223 0.5×	294 0.8×	65 0.2×	153 0.7×	49	1.9k
Virendar K. Kaushik United States	19	1.4k 1.2×	176 0.4×	347 0.9×	146 0.4×	164 0.8×	28	3.1k
Wenyi Qin United States	26	1.4k 1.2×	136 0.3×	133 0.3×	194 0.6×	265 1.3×	88	2.3k
Hua Su China	31	1.4k 1.2×	176 0.4×	670 1.7×	231 0.7×	298 1.4×	85	2.7k

Countries citing papers authored by Sangsoo Kim

Since Specialization

Citations

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

Fields of papers citing papers by Sangsoo Kim

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sangsoo Kim

This figure shows the co-authorship network connecting the top 25 collaborators of Sangsoo Kim. A scholar is included among the top collaborators of Sangsoo 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 Sangsoo Kim. Sangsoo 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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20 of 20 papers shown

Park, Soo Kyoung, Jaeyoung Chun, Chang Hwan Choi, et al.. (2025). Early Progression Prediction in Korean Crohn’s Disease Using a Korean-Specific PrediXcan Model. International Journal of Molecular Sciences. 26(7). 2910–2910. 1 indexed citations

Kim, Sangsoo, Tae Oh Kim, Soo‐Kyung Park, et al.. (2023). A Machine Learning-Based Diagnostic Model for Crohn’s Disease and Ulcerative Colitis Utilizing Fecal Microbiome Analysis. Microorganisms. 12(1). 36–36. 9 indexed citations

Kim, Kwang-Woo, Shin Ju Oh, Sangsoo Kim, et al.. (2023). Regulatory Variants on the Leukocyte Immunoglobulin-Like Receptor Gene Cluster are Associated with Crohn’s Disease and Interact with Regulatory Variants for TAP2. Journal of Crohn s and Colitis. 18(1). 47–53. 2 indexed citations

Choi, Ji Won, Sangsoo Kim, Kwang‐Sung Ahn, et al.. (2023). RNA-Seq-Based Molecular Classification Analyses in Colorectal Cancer and Synchronous Adenoma. Cancers. 15(19). 4851–4851.

Park, Soo‐Kyung, Sangsoo Kim, Chil-Woo Lee, et al.. (2023). Enrichment of Activated Fibroblasts as a Potential Biomarker for a Non-Durable Response to Anti-Tumor Necrosis Factor Therapy in Patients with Crohn’s Disease. International Journal of Molecular Sciences. 24(19). 14799–14799. 1 indexed citations

Hwang, Kihwan, Se Jin Cho, Byung Se Choi, et al.. (2022). Fully Automated Segmentation Models of Supratentorial Meningiomas Assisted by Inclusion of Normal Brain Images. Journal of Imaging. 8(12). 327–327. 2 indexed citations

Park, Soo‐Kyung, Sang‐Bum Kang, Sangsoo Kim, et al.. (2022). Additive effect of probiotics (Mutaflor) on 5-aminosalicylic acid therapy in patients with ulcerative colitis. The Korean Journal of Internal Medicine. 37(5). 949–957. 25 indexed citations

Kang, Eun Ae, Chang Hwan Choi, Sang‐Bum Kang, et al.. (2021). Development of a Clinical and Genetic Prediction Model for Early Intestinal Resection in Patients with Crohn’s Disease: Results from the IMPACT Study. Journal of Clinical Medicine. 10(4). 633–633. 16 indexed citations

Huisman, Christian, Young A Kim, Jeonghoon Choi, et al.. (2021). The histone H3-lysine 4-methyltransferase Mll4 regulates the development of growth hormone-releasing hormone-producing neurons in the mouse hypothalamus. Nature Communications. 12(1). 256–256. 21 indexed citations

10.

Park, Soo‐Kyung, Sangsoo Kim, Chil-Woo Lee, et al.. (2021). Development of a Machine Learning Model to Distinguish between Ulcerative Colitis and Crohn’s Disease Using RNA Sequencing Data. Diagnostics. 11(12). 2365–2365. 17 indexed citations

11.

Ryou, Sang-Mi, Kisoon Kim, Sangsoo Kim, et al.. (2021). Characterization of HIV-1 recombinant and subtype B near full-length genome among men who have sex with men in South Korea. Scientific Reports. 11(1). 4122–4122. 1 indexed citations

12.

Wang, Wenxian, Hyeyoung Cho, Sung Min Yoon, et al.. (2020). PRC2 Acts as a Critical Timer That Drives Oligodendrocyte Fate over Astrocyte Identity by Repressing the Notch Pathway. Cell Reports. 32(11). 108147–108147. 26 indexed citations

13.

Min, Jun Ki, Hyo‐Joon Yang, Min Seob Kwak, et al.. (2020). Deep Neural Network-Based Prediction of the Risk of Advanced Colorectal Neoplasia. Gut and Liver. 15(1). 85–91. 7 indexed citations

14.

Huisman, Christian, Hyeyoung Cho, Olivier Brock, et al.. (2019). Single cell transcriptome analysis of developing arcuate nucleus neurons uncovers their key developmental regulators. Nature Communications. 10(1). 3696–3696. 47 indexed citations

15.

Kim, Sangsoo, et al.. (2019). Accuracy of machine learning for differentiation between optic neuropathies and pseudopapilledema. BMC Ophthalmology. 19(1). 178–178. 32 indexed citations

16.

Lee, Bora, Jang‐Hyun Kim, Sangsoo Kim, et al.. (2018). Dlx1/2 and Otp coordinate the production of hypothalamic GHRH- and AgRP-neurons. Nature Communications. 9(1). 2026–2026. 38 indexed citations

17.

Kim, Seon‐Young, Seon‐Young Kim, Jeonghwan Kim, et al.. (2007). Meta- and Gene Set Analysis of Stomach Cancer Gene Expression Data. Molecules and Cells. 24(2). 200–209. 20 indexed citations

18.

Kim, Hyungchul, et al.. (2006). Cloning of Notl-linked DNA Detected by Restriction Landmark Genomic Scanning of Human Genome. Genomics & Informatics. 4(1). 1–10. 9 indexed citations

19.

Park, Jong-Dae, et al.. (2004). Effects of Different Temperatures on Pathogenicity of Spodoptera exigua Nucleopolyhedrovirus (SeNPV). Korean journal of applied entomology. 43(4). 329–332. 1 indexed citations

20.

Park, Jong-Dae, et al.. (2000). Relative toxicity of NeemAzal-T/S to the predacious mite, Amblyseius womersleyi (Acari: Phytoseiidae) and the twospotted spider mite, Tetranychus urticae (Acari: Tetranychidae).. Korean journal of applied entomology. 39(1). 53–58. 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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