Soo‐Youl Kim

1.6k total citations
31 papers, 1.1k citations indexed

About

Soo‐Youl Kim is a scholar working on Molecular Biology, Pulmonary and Respiratory Medicine and Cell Biology. According to data from OpenAlex, Soo‐Youl Kim has authored 31 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Molecular Biology, 12 papers in Pulmonary and Respiratory Medicine and 7 papers in Cell Biology. Recurrent topics in Soo‐Youl Kim's work include Blood properties and coagulation (12 papers), Cancer, Hypoxia, and Metabolism (4 papers) and Skin and Cellular Biology Research (3 papers). Soo‐Youl Kim is often cited by papers focused on Blood properties and coagulation (12 papers), Cancer, Hypoxia, and Metabolism (4 papers) and Skin and Cellular Biology Research (3 papers). Soo‐Youl Kim collaborates with scholars based in South Korea, United States and Germany. Soo‐Youl Kim's co-authors include Peter M. Steinert, Thomas M. Jeitner, Dae-Seok Kim, Byung‐Ho Nam, Jaewhan Song, In-Hoo Kim, Sung Soo Park, Seon-Hyeong Lee, Jooyong Kim and Tae‐im Kim and has published in prestigious journals such as Journal of Biological Chemistry, Journal of Clinical Investigation and PLoS ONE.

In The Last Decade

Soo‐Youl Kim

31 papers receiving 1.1k citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Soo‐Youl Kim South Korea	19	541	388	181	154	131	31	1.1k
Zhiyu Dai United States	19	609 1.1×	452 1.2×	328 1.8×	117 0.8×	94 0.7×	52	1.3k
Andrew D. Hollenbach United States	18	937 1.7×	137 0.4×	190 1.0×	131 0.9×	172 1.3×	30	1.2k
Sung‐Yup Cho South Korea	17	354 0.7×	263 0.7×	130 0.7×	89 0.6×	171 1.3×	56	878
Sabine Schmitt Germany	20	1.0k 1.9×	114 0.3×	153 0.8×	120 0.8×	125 1.0×	41	1.6k
Vishva M. Sharma United States	17	843 1.6×	116 0.3×	233 1.3×	229 1.5×	236 1.8×	26	1.4k
Victor Mautner Germany	22	463 0.9×	572 1.5×	85 0.5×	49 0.3×	117 0.9×	37	1.8k
Nunzia Caporarello Italy	23	508 0.9×	327 0.8×	119 0.7×	73 0.5×	111 0.8×	41	1.2k
Yoshiji Miyazaki Japan	27	797 1.5×	268 0.7×	291 1.6×	130 0.8×	408 3.1×	47	1.8k
Mingzhi Han China	21	795 1.5×	258 0.7×	429 2.4×	57 0.4×	215 1.6×	39	1.2k

Countries citing papers authored by Soo‐Youl Kim

Since Specialization

Citations

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

Fields of papers citing papers by Soo‐Youl Kim

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Soo‐Youl Kim

This figure shows the co-authorship network connecting the top 25 collaborators of Soo‐Youl Kim. A scholar is included among the top collaborators of Soo‐Youl 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 Soo‐Youl Kim. Soo‐Youl 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

Lee, Ho, Sang Myung Woo, Wonyoung Choi, et al.. (2025). Abstract 1548: Deletion of peroxisomal 3-ketoacyl-CoA thiolase promoted overall survival in the KPC mice. Cancer Research. 85(8_Supplement_1). 1548–1548. 1 indexed citations

Lee, Ho, Sang Myung Woo, Hyonchol Jang, et al.. (2021). Overall survival of pancreatic ductal adenocarcinoma is doubled by Aldh7a1 deletion in the KPC mouse. Theranostics. 11(7). 3472–3488. 15 indexed citations

Lee, Ho, Hyonchol Jang, Sang Myung Woo, et al.. (2020). Targeting Oxidative Phosphorylation Reverses Drug Resistance in Cancer Cells by Blocking Autophagy Recycling. Cells. 9(9). 2013–2013. 40 indexed citations

Han, Suji, Hee Yeon Kim, Seon-Hyeong Lee, et al.. (2020). Phosphorylation of OCT4 Serine 236 Inhibits Germ Cell Tumor Growth by Inducing Differentiation. Cancers. 12(9). 2601–2601. 7 indexed citations

Lee, Hae-Kyung, Eun‐Woo Lee, Jinho Seo, et al.. (2018). Ubiquitylation and degradation of adenomatous polyposis coli by MKRN1 enhances Wnt/β-catenin signaling. Oncogene. 37(31). 4273–4286. 25 indexed citations

Seo, Jinho, et al.. (2018). Targeting Mitochondrial Oxidative Phosphorylation Abrogated Irinotecan Resistance in NSCLC. Scientific Reports. 8(1). 15707–15707. 37 indexed citations

Ko, Aram, Su Yeon Han, Chel Hun Choi, et al.. (2018). Oncogene-induced senescence mediated by c-Myc requires USP10 dependent deubiquitination and stabilization of p14ARF. Cell Death and Differentiation. 25(6). 1050–1062. 68 indexed citations

Min, Chengchun, Yukyung Jun, Doo Jae Lee, et al.. (2018). Silencing of peroxiredoxin II by promoter methylation is necessary for the survival and migration of gastric cancer cells. Experimental & Molecular Medicine. 50(2). e443–e443. 14 indexed citations

Kim, Nayeon, Joon Hee Kang, Won‐Kyu Lee, et al.. (2018). Allosteric inhibition site of transglutaminase 2 is unveiled in the N terminus. Amino Acids. 50(11). 1583–1594. 13 indexed citations

10.

Kang, Joon Hee, Seon-Hyeong Lee, Dongwan Hong, et al.. (2016). Dual targeting of glutaminase 1 and thymidylate synthase elicits death synergistically in NSCLC. Cell Death and Disease. 7(12). e2511–e2511. 41 indexed citations

11.

Kim, Ki-Sun, Jin‐Moo Lee, Won‐Kyu Lee, et al.. (2013). Single-stranded DNA aptamer that specifically binds to the influenza virus NS1 protein suppresses interferon antagonism. Antiviral Research. 100(2). 337–345. 41 indexed citations

12.

Kim, Hyun Kyoung, Won Cheol Park, Han-Seong Kim, et al.. (2013). Simple and Versatile Molecular Method of Copy-Number Measurement Using Cloned Competitors. PLoS ONE. 8(7). e69414–e69414. 7 indexed citations

13.

Lee, Ji-Hye, Kyung Hee Koo, Sang‐Kyu Ye, et al.. (2013). Lipid raft modulation by Rp1 reverses multidrug resistance via inactivating MDR-1 and Src inhibition. Biochemical Pharmacology. 85(10). 1441–1453. 44 indexed citations

14.

Kim, Dae-Seok, et al.. (2010). I-κBα depletion by transglutaminase 2 and μ-calpain occurs in parallel with the ubiquitin–proteasome pathway. Biochemical and Biophysical Research Communications. 399(2). 300–306. 10 indexed citations

15.

Kim, Soo‐Youl. (2010). A new paradigm for cancer therapeutics development. BMB Reports. 43(6). 383–388. 2 indexed citations

16.

Kim, Dae-Seok, et al.. (2008). Glucosamine is an effective chemo-sensitizer via transglutaminase 2 inhibition. Cancer Letters. 273(2). 243–249. 37 indexed citations

17.

Son, Jin H., Hibiki Kawamata, Dae Joon Kim, et al.. (2005). Neurotoxicity and behavioral deficits associated with Septin 5 accumulation in dopaminergic neurons. Journal of Neurochemistry. 94(4). 1040–1053. 54 indexed citations

18.

Sohn, Joonhong, et al.. (2003). Novel transglutaminase inhibitors reverse the inflammation of allergic conjunctivitis. Journal of Clinical Investigation. 111(1). 121–128. 94 indexed citations

19.

Kim, Soo‐Youl, Thomas M. Jeitner, & Peter M. Steinert. (2002). Transglutaminases in disease. Neurochemistry International. 40(1). 85–103. 127 indexed citations

20.

Choi, Young‐Chul, et al.. (2000). Sporadic Inclusion Body Myositis Correlates with Increased Expression and Cross-linking by Transglutaminases 1 and 2. Journal of Biological Chemistry. 275(12). 8703–8710. 49 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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