Sun-Wha Im

531 total citations
18 papers, 174 citations indexed

About

Sun-Wha Im is a scholar working on Molecular Biology, Cancer Research and Genetics. According to data from OpenAlex, Sun-Wha Im has authored 18 papers receiving a total of 174 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 4 papers in Cancer Research and 3 papers in Genetics. Recurrent topics in Sun-Wha Im's work include Liver Disease Diagnosis and Treatment (3 papers), Cancer-related molecular mechanisms research (3 papers) and Bone health and osteoporosis research (2 papers). Sun-Wha Im is often cited by papers focused on Liver Disease Diagnosis and Treatment (3 papers), Cancer-related molecular mechanisms research (3 papers) and Bone health and osteoporosis research (2 papers). Sun-Wha Im collaborates with scholars based in South Korea, Ethiopia and Puerto Rico. Sun-Wha Im's co-authors include Jong‐Il Kim, Hyoung Moo Park, Mi Young Kim, Young Joo Park, Kyeong Cheon Jung, Young Ah Lee, Eun‐Jae Chung, Choong Ho Shin, Joohon Sung and Sung‐Il Cho and has published in prestigious journals such as PLoS ONE, The Journal of Clinical Endocrinology & Metabolism and Scientific Reports.

In The Last Decade

Sun-Wha Im

18 papers receiving 167 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Sun-Wha Im South Korea 8 38 35 29 27 23 18 174
Sevcan Tuğ Bozdoğan Türkiye 10 86 2.3× 33 0.9× 77 2.7× 40 1.5× 57 2.5× 35 296
Anna Hurst United States 9 56 1.5× 14 0.4× 69 2.4× 18 0.7× 9 0.4× 30 175
Rodica Mardari Italy 10 15 0.4× 69 2.0× 59 2.0× 60 2.2× 35 1.5× 14 248
Sarah Lawson United States 9 41 1.1× 79 2.3× 58 2.0× 63 2.3× 61 2.7× 19 276
Vaidya Govindarajan United States 10 87 2.3× 22 0.6× 10 0.3× 51 1.9× 40 1.7× 37 280
Janine Smith Australia 8 110 2.9× 12 0.3× 42 1.4× 52 1.9× 30 1.3× 20 253
Patrick Meyer Switzerland 11 43 1.1× 111 3.2× 27 0.9× 46 1.7× 21 0.9× 26 310
Hefeng Lin China 7 54 1.4× 11 0.3× 52 1.8× 44 1.6× 46 2.0× 9 299
Tom Jacques United Kingdom 6 32 0.8× 13 0.4× 59 2.0× 29 1.1× 71 3.1× 10 224
Thiti Snabboon Thailand 8 104 2.7× 92 2.6× 53 1.8× 56 2.1× 14 0.6× 29 235

Countries citing papers authored by Sun-Wha Im

Since Specialization
Citations

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

Fields of papers citing papers by Sun-Wha Im

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Sun-Wha Im. 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 Sun-Wha Im. The network helps show where Sun-Wha Im may publish in the future.

Co-authorship network of co-authors of Sun-Wha Im

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

All Works

18 of 18 papers shown
1.
Hong, Heesun, Ok Joo Lee, Hae Sang Park, et al.. (2024). Transcriptomic Changes in Human Tonsil-Derived Mesenchymal Stem Cells Across Culture Passages. Genes. 15(12). 1626–1626. 2 indexed citations
2.
Park, Young Jun, Sungji Moon, Jaeyong Choi, et al.. (2024). Genome-wide association study for metabolic syndrome reveals APOA5 single nucleotide polymorphisms with multilayered effects in Koreans. Lipids in Health and Disease. 23(1). 272–272. 4 indexed citations
3.
Park, Kyunghyuk, et al.. (2024). Genetic and epigenetic alterations in aging and rejuvenation of human. Molecules and Cells. 47(12). 100137–100137. 12 indexed citations
4.
Sung, Hye Youn, Yun Ju Chae, Sun-Wha Im, et al.. (2021). Protective role of ABCA1 in ischemic preconditioning is mediated by downregulation of miR-33-5p and miR-135-5p. Scientific Reports. 11(1). 12511–12511. 11 indexed citations
5.
Kim, Miso, Dong‐Wan Kim, Tae Min Kim, et al.. (2021). Acquired Resistance Mechanism of EGFR Kinase Domain Duplication to EGFR TKIs in Non–Small Cell Lung Cancer. Cancer Research and Treatment. 54(1). 140–149. 5 indexed citations
6.
Lee, Young Ah, Sun-Wha Im, Kyeong Cheon Jung, et al.. (2020). Predominant DICER1 Pathogenic Variants in Pediatric Follicular Thyroid Carcinomas. Thyroid. 30(8). 1120–1131. 30 indexed citations
7.
Im, Sun-Wha, Jeesoo Chae, Ho‐Young Son, et al.. (2020). A population-specific low-frequency variant of SLC22A12 (p.W258*) explains nearby genome-wide association signals for serum uric acid concentrations among Koreans. PLoS ONE. 15(4). e0231336–e0231336. 2 indexed citations
8.
Im, Sun-Wha, Jeesoo Chae, Se Song Jang, et al.. (2020). A newly developed capture-based sequencing panel for genomic assay of lung cancer. Genes & Genomics. 42(7). 751–759. 5 indexed citations
9.
Won, Jae‐Kyung, Chun Kee Chung, Seung‐Ki Kim, et al.. (2018). Clinicopathological and molecular analysis of multinodular and vacuolating neuronal tumors of the cerebrum. Human Pathology. 86. 203–212. 25 indexed citations
10.
Hwangbo, Yul, Eun Kyung Lee, Ho‐Young Son, et al.. (2018). Genome-Wide Association Study Reveals Distinct Genetic Susceptibility of Thyroid Nodules From Thyroid Cancer. The Journal of Clinical Endocrinology & Metabolism. 103(12). 4384–4394. 9 indexed citations
11.
Im, Sun-Wha, et al.. (2016). Treatment of aggressive angiomyxoma of the female perineum: Combined operative and hormone therapy. Journal of Obstetrics and Gynaecology. 36(6). 819–821. 6 indexed citations
12.
Bae, Ye Seul, Sun-Wha Im, Jin Hee Kim, et al.. (2016). Genome-Wide Association Study of Bone Mineral Density in Korean Men. Genomics & Informatics. 14(2). 62–62. 5 indexed citations
13.
Kim, Mi Young, Sun-Wha Im, & Hyoung Moo Park. (2015). The Demographic Changes of Menopausal and Geripausal Women in Korea. Journal of Bone Metabolism. 22(1). 23–23. 18 indexed citations
14.
Kim, Hyun‐Jin, Sun-Wha Im, Siwoo Lee, et al.. (2013). Heritabilities of Facial Measurements and Their Latent Factors in Korean Families. Genomics & Informatics. 11(2). 83–83. 11 indexed citations
15.
Kim, Hyun‐Jin, Ho‐Young Son, Seungbok Lee, et al.. (2012). Gene mapping study for constitutive skin color in an isolated Mongolian population. Experimental & Molecular Medicine. 44(3). 241–241. 7 indexed citations
16.
Kim, Hyunjin, Seungbok Lee, Sun-Wha Im, et al.. (2011). Linkage and association scan for tanning ability in an isolated Mongolian population. BMB Reports. 44(11). 741–746. 7 indexed citations
17.
Im, Sun-Wha, Hyun‐Jin Kim, Mi Kyeong Lee, et al.. (2010). Genome-wide linkage analysis for ocular and nasal anthropometric traits in a Mongolian population. Experimental & Molecular Medicine. 42(12). 799–799. 5 indexed citations
18.
Im, Sun-Wha, Mi Kyeong Lee, Seil Oh, et al.. (2009). Analysis of genetic and non-genetic factors that affect the QTc interval in a Mongolian population: the GENDISCAN study. Experimental & Molecular Medicine. 41(11). 841–841. 10 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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