Sungjoo Kim

3.2k total citations
68 papers, 2.0k citations indexed

About

Sungjoo Kim is a scholar working on Health, Toxicology and Mutagenesis, Electrical and Electronic Engineering and Molecular Biology. According to data from OpenAlex, Sungjoo Kim has authored 68 papers receiving a total of 2.0k indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Health, Toxicology and Mutagenesis, 14 papers in Electrical and Electronic Engineering and 9 papers in Molecular Biology. Recurrent topics in Sungjoo Kim's work include Effects and risks of endocrine disrupting chemicals (13 papers), Toxic Organic Pollutants Impact (11 papers) and Antenna Design and Analysis (9 papers). Sungjoo Kim is often cited by papers focused on Effects and risks of endocrine disrupting chemicals (13 papers), Toxic Organic Pollutants Impact (11 papers) and Antenna Design and Analysis (9 papers). Sungjoo Kim collaborates with scholars based in South Korea, United States and Puerto Rico. Sungjoo Kim's co-authors include Jeongim Park, Gyuyeon Choi, Kyungho Choi, Hyo-Bang Moon, Sooran Choi, Sungkyoon Kim, Su Young Kim, Sunmi Kim, Hai‐Joong Kim and Jeong Jae Lee and has published in prestigious journals such as Advanced Materials, Circulation and Environmental Science & Technology.

In The Last Decade

Sungjoo Kim

61 papers receiving 1.9k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Sungjoo Kim South Korea 24 947 292 191 182 164 68 2.0k
Brian A. Wong United States 25 873 0.9× 211 0.7× 121 0.6× 16 0.1× 306 1.9× 57 2.4k
Paul Héroux Canada 22 268 0.3× 111 0.4× 88 0.5× 114 0.6× 192 1.2× 45 1.3k
I Hinberg Canada 18 873 0.9× 271 0.9× 182 1.0× 49 0.3× 139 0.8× 46 1.4k
Raymond F. Hamilton United States 35 808 0.9× 839 2.9× 158 0.8× 22 0.1× 441 2.7× 83 3.5k
Yue Feng China 22 313 0.3× 298 1.0× 72 0.4× 50 0.3× 77 0.5× 56 1.6k
Jung‐Taek Kwon South Korea 25 351 0.4× 759 2.6× 153 0.8× 65 0.4× 290 1.8× 79 2.1k
Delia Cavallo Italy 23 513 0.5× 198 0.7× 136 0.7× 45 0.2× 246 1.5× 84 1.6k
Sonja Boland France 29 1.5k 1.6× 413 1.4× 557 2.9× 24 0.1× 495 3.0× 55 3.2k
Yongyuan Zhang China 24 203 0.2× 209 0.7× 138 0.7× 169 0.9× 96 0.6× 117 1.8k
Michelle V. Fanucchi United States 28 495 0.5× 351 1.2× 52 0.3× 10 0.1× 109 0.7× 57 2.1k

Countries citing papers authored by Sungjoo Kim

Since Specialization
Citations

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

Fields of papers citing papers by Sungjoo Kim

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sungjoo Kim

This figure shows the co-authorship network connecting the top 25 collaborators of Sungjoo Kim. A scholar is included among the top collaborators of Sungjoo 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 Sungjoo Kim. Sungjoo 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
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Kim, Sungjoo & Jaemin Song. (2023). Influencing Factors of Commuting Time by Income Class : A Machine Learning Approach. Journal of Korea Planning Association. 58(6). 85–99.
4.
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Park, Seokwoo, Sangil Min, Sejoong Kim, et al.. (2023). Application of microphysiologic system to assess neutrophil extracellular trap in xenotransplantation. Journal of Immunological Methods. 521. 113537–113537. 4 indexed citations
6.
Jeong, Yunsun, Sunggyu Lee, Sunmi Kim, et al.. (2017). Placental transfer of persistent organic pollutants and feasibility using the placenta as a non-invasive biomonitoring matrix. The Science of The Total Environment. 612. 1498–1505. 62 indexed citations
7.
Kim, Sunmi, Jangwoo Lee, Jeongim Park, et al.. (2017). Urinary phthalate metabolites over the first 15 months of life and risk assessment – CHECK cohort study. The Science of The Total Environment. 607-608. 881–887. 23 indexed citations
8.
Kim, Jin Hee, Su Young Kim, Gyuyeon Choi, et al.. (2016). Association of food consumption during pregnancy with mercury and lead levels in cord blood. The Science of The Total Environment. 563-564. 118–124. 24 indexed citations
9.
Kim, Sunmi, Jeongim Park, Hai‐Joong Kim, et al.. (2015). Association between Several Persistent Organic Pollutants and Thyroid Hormone Levels in Cord Blood Serum and Bloodspot of the Newborn Infants of Korea. PLoS ONE. 10(5). e0125213–e0125213. 56 indexed citations
10.
Lee, Sunggyu, Sunmi Kim, Jeongim Park, et al.. (2015). Synthetic musk compounds and benzotriazole ultraviolet stabilizers in breast milk: Occurrence, time–course variation and infant health risk. Environmental Research. 140. 466–473. 66 indexed citations
11.
Choi, Gyuyeon, Sungjoo Kim, Sunmi Kim, et al.. (2014). Occurrences of major polybrominated diphenyl ethers (PBDEs) in maternal and fetal cord blood sera in Korea. The Science of The Total Environment. 491-492. 219–226. 45 indexed citations
12.
Kang, Sungeun, Sunmi Kim, Jeongim Park, et al.. (2013). Urinary paraben concentrations among pregnant women and their matching newborn infants of Korea, and the association with oxidative stress biomarkers. The Science of The Total Environment. 461-462. 214–221. 139 indexed citations
13.
Zhang, Zhengyun, et al.. (2012). Inverse Relation of Total Serum Bilirubin to Coronary Artery Calcification Score Detected by Multidetector Computed Tomography in Males. Clinical Cardiology. 35(5). 301–306. 41 indexed citations
14.
Ren, Kailiang, Derek Cheng, Sungjoo Kim, et al.. (2011). Permanent Polarity and Piezoelectricity of Electrospun α‐Helical Poly(α‐Amino Acid) Fibers. Advanced Materials. 23(34). 3954–3958. 101 indexed citations
15.
Kwon, Choon Hyuck David, et al.. (2011). Posteromedial diaphragmatic hernia following pediatric liver transplantation. Pediatric Transplantation. 16(4). E106–9. 18 indexed citations
16.
Tae, Jinsung, Bongkum Choi, Young Seok Kim, et al.. (2009). Characterization, in vitro cytotoxicity assessment, and in vivo visualization of multimodal, RITC-labeled, silica-coated magnetic nanoparticles for labeling human cord blood–derived mesenchymal stem cells. Nanomedicine Nanotechnology Biology and Medicine. 6(2). 263–276. 65 indexed citations
17.
Lee, Beob-Yi, et al.. (2008). Detection Methods of Histochemically-reactive Zinc in the CNS at the Light Microscopical Level. Han-guk hyeonmigyeong hakoeji/Applied microscopy. 38(1). 29–34.
18.
Jung, Hye Seung, Seong‐Ho Choi, Sungjoo Kim, et al.. (2007). A better yield of islet cell mass from living pancreatic donors compared with cadaveric donors. Clinical Transplantation. 21(6). 738–743. 19 indexed citations
19.
Ki, Chang‐Seok, In‐Suk Kim, Jong‐Won Kim, et al.. (2005). Incidence and clinical significance of human parvovirus B19 infection in kidney transplant recipients. Clinical Transplantation. 19(6). 751–755. 52 indexed citations
20.
Kim, Sungjoo, et al.. (2004). Decrease in Zinc Concentration in the Rat Spinal Gray Matter Induced by Peripheral Nerve Ligation, and its Relations with Increased Pain Threshold. 37(4). 369–375. 1 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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