Sunshin Kim

2.7k total citations
66 papers, 2.3k citations indexed

About

Sunshin Kim is a scholar working on Molecular Biology, Genetics and Immunology. According to data from OpenAlex, Sunshin Kim has authored 66 papers receiving a total of 2.3k indexed citations (citations by other indexed papers that have themselves been cited), including 36 papers in Molecular Biology, 15 papers in Genetics and 12 papers in Immunology. Recurrent topics in Sunshin Kim's work include Pancreatic function and diabetes (10 papers), Diabetes and associated disorders (9 papers) and DNA Repair Mechanisms (7 papers). Sunshin Kim is often cited by papers focused on Pancreatic function and diabetes (10 papers), Diabetes and associated disorders (9 papers) and DNA Repair Mechanisms (7 papers). Sunshin Kim collaborates with scholars based in South Korea, United States and Japan. Sunshin Kim's co-authors include Myung‐Shik Lee, Kwang‐Won Kim, Hun Sik Kim, Moon‐Kyu Lee, Myoung Sook Han, Jayoung Kim, Kun Wook Chung, Inik Chang, Yun‐Hee Kim and KyuBum Kwack and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and Journal of Biological Chemistry.

In The Last Decade

Sunshin Kim

65 papers receiving 2.3k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Sunshin Kim South Korea 25 1.0k 596 509 499 439 66 2.3k
Monique R. Heitmeier United States 22 732 0.7× 429 0.7× 496 1.0× 605 1.2× 309 0.7× 33 1.9k
Hueng-Sik Choi South Korea 31 1.5k 1.5× 266 0.4× 683 1.3× 500 1.0× 397 0.9× 56 2.8k
Qiurong Ding China 28 2.0k 2.0× 290 0.5× 453 0.9× 520 1.0× 468 1.1× 68 3.2k
Martine I. Darville Belgium 25 1.0k 1.0× 450 0.8× 614 1.2× 834 1.7× 253 0.6× 36 2.2k
Eiichiro Nishi Japan 28 1.4k 1.4× 701 1.2× 250 0.5× 685 1.4× 273 0.6× 59 3.2k
Marcia Meseck United States 24 1.1k 1.1× 691 1.2× 571 1.1× 693 1.4× 340 0.8× 41 2.5k
Hyon‐Seung Yi South Korea 31 1.2k 1.2× 612 1.0× 210 0.4× 288 0.6× 867 2.0× 99 3.0k
Xiaojian Huang China 23 797 0.8× 581 1.0× 633 1.2× 487 1.0× 217 0.5× 44 2.1k
Bonne M. Thompson United States 20 1.1k 1.1× 382 0.6× 215 0.4× 778 1.6× 164 0.4× 35 2.0k
Toshiya Tanaka Japan 32 2.4k 2.4× 395 0.7× 584 1.1× 615 1.2× 523 1.2× 84 3.9k

Countries citing papers authored by Sunshin Kim

Since Specialization
Citations

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

Fields of papers citing papers by Sunshin Kim

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sunshin Kim

This figure shows the co-authorship network connecting the top 25 collaborators of Sunshin Kim. A scholar is included among the top collaborators of Sunshin 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 Sunshin Kim. Sunshin 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, Sunshin, et al.. (2023). Single targeting of MET in EGFR-mutated and MET-amplified non-small cell lung cancer. British Journal of Cancer. 128(12). 2186–2196. 5 indexed citations
2.
Song, Bo, et al.. (2023). Ataxia-Telangiectasia Mutated Is Involved in Autolysosome Formation. Biomolecules & Therapeutics. 31(5). 559–565. 4 indexed citations
3.
Cho, Youngnam, Seog-Yun Park, Sunshin Kim, et al.. (2022). Early On-Treatment Prediction of the Mechanisms of Acquired Resistance to EGFR Tyrosine Kinase Inhibitors. Cancers. 14(6). 1512–1512. 3 indexed citations
4.
Lee, Dong-Eun, et al.. (2020). NEDD4L downregulates autophagy and cell growth by modulating ULK1 and a glutamine transporter. Cell Death and Disease. 11(1). 38–38. 75 indexed citations
5.
Yoon, Kyong‐Ah, et al.. (2019). EI24, as a Component of Autophagy, Is Involved in Pancreatic Cell Proliferation. Frontiers in Oncology. 9. 652–652. 15 indexed citations
6.
Kim, Sunshin, Ji Won Lee, Yun Hee Kim, et al.. (2017). C-terminally mutated tubby protein accumulates in aggresomes. BMB Reports. 50(1). 37–42. 9 indexed citations
7.
Kim, Sunshin, et al.. (2013). Diplotyper: diplotype-based association analysis. BMC Medical Genomics. 6(S2). S5–S5. 13 indexed citations
8.
Lee, Chae Kwan, et al.. (2013). Factors Affecting the Degree of Occupational Satisfaction of Workers Engaged in Working Environment Measurements Company. Journal of Korean Society of Occupational and Environmental Hygiene. 23(2). 114–122.
9.
Kim, Sunshin, et al.. (2013). Polymorphisms within the FANCA gene associate with premature ovarian failure in Korean women. Menopause The Journal of The North American Menopause Society. 21(5). 530–533. 7 indexed citations
10.
Bae, Young‐Ki, Jee Young Sung, Yong-Nyun Kim, et al.. (2012). An In Vivo C. elegans Model System for Screening EGFR-Inhibiting Anti-Cancer Drugs. PLoS ONE. 7(9). e42441–e42441. 27 indexed citations
11.
Han, Myoung Sook, Yu-Mi Lim, Wenying Quan, et al.. (2011). Lysophosphatidylcholine as an effector of fatty acid-induced insulin resistance. Journal of Lipid Research. 52(6). 1234–1246. 115 indexed citations
12.
Lee, Myung‐Shik, et al.. (2011). Role of TLR2 in the pathogenesis of autoimmune diabetes and its therapeutic implication. Diabetes/Metabolism Research and Reviews. 27(8). 797–801. 7 indexed citations
13.
Cheon, Hwanju, Jae Min Cho, Sunshin Kim, et al.. (2010). Role of JNK activation in pancreatic β-cell death by streptozotocin. Molecular and Cellular Endocrinology. 321(2). 131–137. 23 indexed citations
14.
Kim, Sunshin, et al.. (2010). Epistasis between CYP19A1 and ESR1 polymorphisms is associated with premature ovarian failure. Fertility and Sterility. 95(1). 353–356. 30 indexed citations
15.
Kim, Sunshin, Isabelle Millet, Hun Sik Kim, et al.. (2007). NF-κB prevents β cell death and autoimmune diabetes in NOD mice. Proceedings of the National Academy of Sciences. 104(6). 1913–1918. 105 indexed citations
16.
Han, Myoung Sook, Sun Young Park, Koei Shinzawa, et al.. (2007). Lysophosphatidylcholine as a death effector in the lipoapoptosis of hepatocytes. Journal of Lipid Research. 49(1). 84–97. 196 indexed citations
17.
Chang, Inik, Sunshin Kim, Jayoung Kim, et al.. (2004). Role of Calcium in Pancreatic Islet Cell Death by IFN-γ/TNF-α. The Journal of Immunology. 172(11). 7008–7014. 74 indexed citations
18.
Kim, Jayoung, Yun‐Hee Kim, Inik Chang, et al.. (2002). Resistance of mitochondrial DNA-deficient cells to TRAIL: role of Bax in TRAIL-induced apoptosis. Oncogene. 21(20). 3139–3148. 59 indexed citations
19.
Kim, Sunshin, Kyoung‐Ah Kim, Dae Youn Hwang, et al.. (2000). Inhibition of Autoimmune Diabetes by Fas Ligand: The Paradox Is Solved. The Journal of Immunology. 164(6). 2931–2936. 82 indexed citations
20.
Suk, Kyoungho, Sunshin Kim, Yun‐Hee Kim, et al.. (2000). Identity of mouse IA-2 and PTP35 genes of the tyrosine phosphatase family, and their expression in neuroendocrine tissues. Diabetes Research and Clinical Practice. 50(1). 17–25. 3 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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