Seong‐Yeon Bae

444 total citations
14 papers, 354 citations indexed

About

Seong‐Yeon Bae is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Orthopedics and Sports Medicine. According to data from OpenAlex, Seong‐Yeon Bae has authored 14 papers receiving a total of 354 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Molecular Biology, 3 papers in Cellular and Molecular Neuroscience and 3 papers in Orthopedics and Sports Medicine. Recurrent topics in Seong‐Yeon Bae's work include Cancer, Stress, Anesthesia, and Immune Response (3 papers), Neuropeptides and Animal Physiology (3 papers) and Bone health and treatments (2 papers). Seong‐Yeon Bae is often cited by papers focused on Cancer, Stress, Anesthesia, and Immune Response (3 papers), Neuropeptides and Animal Physiology (3 papers) and Bone health and treatments (2 papers). Seong‐Yeon Bae collaborates with scholars based in South Korea, United States and China. Seong‐Yeon Bae's co-authors include Kyunglim Lee, Jung‐Min Koh, Gwan Sic Kim, Beom‐Jun Kim, S. H. Lee, Kong‐Joo Lee, Jaewon Choe, Seong Hee Ahn, Kyoung Hoon Lim and Soo Han Bae and has published in prestigious journals such as SHILAP Revista de lepidopterología, Scientific Reports and Bone.

In The Last Decade

Seong‐Yeon Bae

13 papers receiving 351 citations

Peers

Seong‐Yeon Bae
Seong‐Yeon Bae
Citations per year, relative to Seong‐Yeon Bae Seong‐Yeon Bae (= 1×) peers Diego Fernández‐García

Countries citing papers authored by Seong‐Yeon Bae

Since Specialization
Citations

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

Fields of papers citing papers by Seong‐Yeon Bae

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Seong‐Yeon Bae. 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 Seong‐Yeon Bae. The network helps show where Seong‐Yeon Bae may publish in the future.

Co-authorship network of co-authors of Seong‐Yeon Bae

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

All Works

14 of 14 papers shown
1.
Kumar, Dhiraj, Sreeharsha Gurrapu, Yan Wang, et al.. (2024). LncRNA Malat1 suppresses pyroptosis and T cell-mediated killing of incipient metastatic cells. Nature Cancer. 5(2). 262–282. 33 indexed citations
2.
Jung, Jiwon, So Lun Lee, Hyo Jin Park, et al.. (2022). Risk of transmission of COVID-19 from healthcare workers returning to work after a 5-day isolation, and kinetics of shedding of viable SARS-CoV-2 variant B.1.1.529 (Omicron). Journal of Hospital Infection. 131. 228–233. 7 indexed citations
3.
Kumar, Dhiraj, Sreeharsha Gurrapu, Hyun Ho Han, et al.. (2020). 750 Malat1 lncRNA controls metastatic reactivation of dormant breast cancer by immune evasion. SHILAP Revista de lepidopterología. A450.2–A451. 2 indexed citations
4.
Kim, Jung Wook, et al.. (2019). Tracking short-term changes in the genetic diversity and antimicrobial resistance of OXA-232-producing Klebsiella pneumoniae ST14 in clinical settings. Clinical Microbiology and Infection. 26(1). 78–86. 11 indexed citations
5.
Bae, Seong‐Yeon, et al.. (2017). Immunohistochemical Localization of Translationally Controlled Tumor Protein in Axon Terminals of Mouse Hippocampal Neurons. Experimental Neurobiology. 26(2). 82–89. 6 indexed citations
6.
Bae, Seong‐Yeon, Sanguine Byun, Soo Han Bae, et al.. (2017). TPT1 (tumor protein, translationally-controlled 1) negatively regulates autophagy through the BECN1 interactome and an MTORC1-mediated pathway. Autophagy. 13(5). 820–833. 38 indexed citations
7.
Park, Jisook, Ju‐Young Shin, & Seong‐Yeon Bae. (2015). Risk Of Pneumonia Associated With The Use Of Ics/Laba: A Retrospective Cohort Study In Korea. Value in Health. 18(7). A494–A494.
8.
Bae, Seong‐Yeon, et al.. (2015). Translationally Controlled Tumor Protein induces epithelial to mesenchymal transition and promotes cell migration, invasion and metastasis. Scientific Reports. 5(1). 8061–8061. 52 indexed citations
9.
Ahn, Seong Hee, S. H. Lee, Beom‐Jun Kim, et al.. (2013). Higher serum uric acid is associated with higher bone mass, lower bone turnover, and lower prevalence of vertebral fracture in healthy postmenopausal women. Osteoporosis International. 24(12). 2961–2970. 104 indexed citations
10.
Kim, Chan‐Hee, et al.. (2013). Relative contributions of insulin resistance and β‐cell dysfunction to the development of Type 2 diabetes in Koreans. Diabetic Medicine. 30(9). 1075–1079. 32 indexed citations
11.
Bae, Seong‐Yeon, et al.. (2012). Expression and localization of translationally controlled tumor protein in rat urinary organs. Microscopy Research and Technique. 75(11). 1576–1581. 7 indexed citations
12.
Jung, Yoo Jin, et al.. (2011). Association of Restrictive Ventilatory Dysfunction with Insulin Resistance and Type 2 Diabetes in Koreans. Experimental and Clinical Endocrinology & Diabetes. 119(1). 47–52. 15 indexed citations
13.
14.
Bae, Seong‐Yeon, et al.. (2010). The association between serum osteocalcin levels and metabolic syndrome in Koreans. Osteoporosis International. 22(11). 2837–2846. 42 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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