Sujin Yim

572 total citations
9 papers, 452 citations indexed

About

Sujin Yim is a scholar working on Cancer Research, Molecular Biology and Oncology. According to data from OpenAlex, Sujin Yim has authored 9 papers receiving a total of 452 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Cancer Research, 7 papers in Molecular Biology and 2 papers in Oncology. Recurrent topics in Sujin Yim's work include Cancer, Hypoxia, and Metabolism (7 papers), RNA modifications and cancer (3 papers) and Fibroblast Growth Factor Research (2 papers). Sujin Yim is often cited by papers focused on Cancer, Hypoxia, and Metabolism (7 papers), RNA modifications and cancer (3 papers) and Fibroblast Growth Factor Research (2 papers). Sujin Yim collaborates with scholars based in South Korea, United States and Puerto Rico. Sujin Yim's co-authors include Hyunsung Park, Su‐Mi Choi, Eunjung Lee, Seungki Lee, Mi‐Ock Lee, Hong-Hee Kim, Ho Jeong Kwon, Jin Hee Kim, Dae Kyong Kim and Tae Woo Kim and has published in prestigious journals such as Journal of Biological Chemistry, Biochemical and Biophysical Research Communications and Molecular Pharmacology.

In The Last Decade

Sujin Yim

9 papers receiving 445 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Sujin Yim South Korea	8	334	230	52	51	44	9	452
Shilpy Joshi United States	8	291 0.9×	136 0.6×	55 1.1×	31 0.6×	63 1.4×	13	415
Roswitha Müller Germany	8	352 1.1×	128 0.6×	62 1.2×	33 0.6×	21 0.5×	10	499
W. Marston Linehan United States	5	248 0.7×	200 0.9×	35 0.7×	45 0.9×	49 1.1×	7	356
Pang-Kuo Lo United States	10	476 1.4×	165 0.7×	106 2.0×	30 0.6×	48 1.1×	11	601
Yunhua Zhao Canada	10	311 0.9×	172 0.7×	93 1.8×	82 1.6×	30 0.7×	12	442
Sarah J. Mahoney United States	6	332 1.0×	129 0.6×	59 1.1×	70 1.4×	25 0.6×	6	437
Bo Deng China	13	291 0.9×	117 0.5×	75 1.4×	42 0.8×	63 1.4×	21	454
Matthew S. Yan Canada	7	296 0.9×	206 0.9×	20 0.4×	54 1.1×	28 0.6×	8	412
Sridhar Kandala United States	5	212 0.6×	126 0.5×	63 1.2×	49 1.0×	25 0.6×	5	352
Li-Yun Gong China	13	329 1.0×	139 0.6×	90 1.7×	26 0.5×	53 1.2×	24	451

Countries citing papers authored by Sujin Yim

Since Specialization

Citations

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

Fields of papers citing papers by Sujin Yim

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sujin Yim

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

All Works

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9 of 9 papers shown

1.

Yim, Sujin, et al.. (2022). YAP-dependent Wnt5a induction in hypertrophic adipocytes restrains adiposity. Cell Death and Disease. 13(4). 407–407. 14 indexed citations

2.

Chae, Sehyun, Sujin Yim, Eun Gyeong Yang, et al.. (2022). Clioquinol as an inhibitor of JmjC-histone demethylase exhibits common and unique histone methylome and transcriptome between clioquinol and hypoxia. iScience. 25(7). 104517–104517. 1 indexed citations

3.

Yim, Sujin, et al.. (2019). The cancer driver genes IDH1/2, JARID1C/ KDM5C, and UTX/ KDM6A: crosstalk between histone demethylation and hypoxic reprogramming in cancer metabolism. Experimental & Molecular Medicine. 51(6). 1–17. 173 indexed citations

4.

Kim, Tae Woo, Sujin Yim, Yejin Jang, et al.. (2009). Tristetraprolin regulates the stability of HIF-1α mRNA during prolonged hypoxia. Biochemical and Biophysical Research Communications. 391(1). 963–968. 41 indexed citations

5.

Yim, Sujin, et al.. (2004). Inhibition of the MEK-1/p42 MAP kinase reduces aryl hydrocarbon receptor–DNA interactions. Biochemical and Biophysical Research Communications. 322(1). 9–16. 24 indexed citations

6.

Yim, Sujin, et al.. (2003). Insulin and Hypoxia Share Common Target Genes but Not the Hypoxia-inducible Factor-1α. Journal of Biological Chemistry. 278(40). 38260–38268. 25 indexed citations

7.

Kim, Hong-Hee, Su‐Mi Choi, Jin Hee Kim, et al.. (2002). Reduction of Hypoxia-Induced Transcription through the Repression of Hypoxia-Inducible Factor-1α/Aryl Hydrocarbon Receptor Nuclear Translocator DNA Binding by the 90-kDa Heat-Shock Protein Inhibitor Radicicol. Molecular Pharmacology. 62(5). 975–982. 98 indexed citations

8.

Lee, Eunjung, Sujin Yim, Seungki Lee, & Hyunsung Park. (2002). Two transactivation domains of hypoxia-inducible factor-1alpha regulated by the MEK-1/p42/p44 MAPK pathway.. PubMed. 14(1). 9–15. 40 indexed citations

9.

Lee, Eunjung, Sujin Yim, Seungki Lee, & Hyunsung Park. (2002). Two Transactivation Domains of Hypoxia-inducible Factor-1α Regulated by the MEK-1/p42/p44 MAPK Pathway. Molecules and Cells. 14(1). 9–15. 36 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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