Eugene Kim

3.1k total citations
95 papers, 2.2k citations indexed

About

Eugene Kim is a scholar working on Radiology, Nuclear Medicine and Imaging, Molecular Biology and Electrical and Electronic Engineering. According to data from OpenAlex, Eugene Kim has authored 95 papers receiving a total of 2.2k indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Radiology, Nuclear Medicine and Imaging, 16 papers in Molecular Biology and 15 papers in Electrical and Electronic Engineering. Recurrent topics in Eugene Kim's work include MRI in cancer diagnosis (13 papers), Advanced MRI Techniques and Applications (11 papers) and Organic Electronics and Photovoltaics (10 papers). Eugene Kim is often cited by papers focused on MRI in cancer diagnosis (13 papers), Advanced MRI Techniques and Applications (11 papers) and Organic Electronics and Photovoltaics (10 papers). Eugene Kim collaborates with scholars based in United States, United Kingdom and South Korea. Eugene Kim's co-authors include Arvind P. Pathak, Yayoi Ikeda, Marie‐Pierre Moisan, K L Parker, Deepak S. Lala, Xunrong Luo, Aleksander S. Popel, Jiangyang Zhang, Leslie E. Landree and Gabriele V. Ronnett and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Neuron and Applied Physics Letters.

In The Last Decade

Eugene Kim

88 papers receiving 2.2k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Eugene Kim United States 26 670 352 339 299 278 95 2.2k
Hiroshi Iwata Japan 32 1.3k 1.9× 499 1.4× 192 0.6× 228 0.8× 128 0.5× 235 3.9k
Yuki Mori Japan 26 672 1.0× 309 0.9× 194 0.6× 313 1.0× 277 1.0× 158 3.3k
Li Zhao China 28 631 0.9× 363 1.0× 134 0.4× 106 0.4× 243 0.9× 160 2.4k
Masaki Watanabe Japan 25 915 1.4× 517 1.5× 154 0.5× 197 0.7× 101 0.4× 121 2.7k
Philip Lee United States 27 1.0k 1.6× 1.4k 4.0× 256 0.8× 200 0.7× 240 0.9× 70 3.8k
Hiromi Suzuki Japan 28 840 1.3× 372 1.1× 127 0.4× 113 0.4× 249 0.9× 98 2.5k
Ming Qi China 29 1.6k 2.4× 159 0.5× 151 0.4× 227 0.8× 237 0.9× 140 3.3k
François Berger France 33 1.9k 2.8× 252 0.7× 225 0.7× 200 0.7× 335 1.2× 122 4.6k
Samuel C. Grant United States 29 750 1.1× 429 1.2× 62 0.2× 716 2.4× 450 1.6× 105 2.9k
Yasuyuki Takahashi Japan 23 1.2k 1.8× 1.0k 3.0× 256 0.8× 219 0.7× 108 0.4× 109 2.6k

Countries citing papers authored by Eugene Kim

Since Specialization
Citations

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

Fields of papers citing papers by Eugene Kim

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Eugene Kim

This figure shows the co-authorship network connecting the top 25 collaborators of Eugene Kim. A scholar is included among the top collaborators of Eugene 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 Eugene Kim. Eugene 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
1.
Kim, Eugene, Eilidh MacNicol, Davide Maselli, et al.. (2025). Complement receptor C3ar1 deficiency does not alter brain structure or functional connectivity across early life development. Brain Communications. 7(6). fcaf422–fcaf422.
2.
Couch, Amalie C. M., Christina C. Chang, Matthew Matson, et al.. (2023). Altered behavior, brain structure, and neurometabolites in a rat model of autism-specific maternal autoantibody exposure. Molecular Psychiatry. 28(5). 2136–2147. 18 indexed citations
3.
Navacerrada, Maria Elisa Serrano, Eugene Kim, Bernard Siow, et al.. (2023). Investigating brain alterations in the Dp1Tyb mouse model of Down syndrome. Neurobiology of Disease. 188. 106336–106336. 5 indexed citations
4.
Navacerrada, Maria Elisa Serrano, Eugene Kim, Karen Randall, et al.. (2022). Erbb4Deletion From Inhibitory Interneurons Causes Psychosis-Relevant Neuroimaging Phenotypes. Schizophrenia Bulletin. 49(3). 569–580. 6 indexed citations
5.
Fisher, Malcolm E, Erik Segerdell, Nicolas Matentzoglu, et al.. (2022). The Xenopus phenotype ontology: bridging model organism phenotype data to human health and development. BMC Bioinformatics. 23(1). 99–99. 4 indexed citations
6.
Navacerrada, Maria Elisa Serrano, Eugene Kim, Marija M. Petrinovic, Federico Turkheimer, & Diana Cash. (2022). Imaging Synaptic Density: The Next Holy Grail of Neuroscience?. Frontiers in Neuroscience. 16. 796129–796129. 38 indexed citations
7.
Gelegen, Çiğdem, Diana Cash, Katarina Ilić, et al.. (2022). Relevance of sleep and associated structural changes in GBA1 mouse to human rapid eye movement behavior disorder. Scientific Reports. 12(1). 7973–7973. 14 indexed citations
8.
9.
Kim, Eugene, Davide Di Censo, Camilla Simmons, et al.. (2021). In vivo multi-parametric manganese-enhanced MRI for detecting amyloid plaques in rodent models of Alzheimer’s disease. Scientific Reports. 11(1). 12419–12419. 9 indexed citations
10.
MacNicol, Eilidh, Eugene Kim, Örjan Smedby, et al.. (2021). MRI-derived brain age as a biomarker of ageing in rats: validation using a healthy lifestyle intervention. Neurobiology of Aging. 109. 204–215. 8 indexed citations
11.
White, Matthew A., Ziqiang Lin, Eugene Kim, et al.. (2019). Sarm1 deletion suppresses TDP-43-linked motor neuron degeneration and cortical spine loss. Acta Neuropathologica Communications. 7(1). 166–166. 65 indexed citations
12.
Sulheim, Einar, Jana Kim, Annemieke van Wamel, et al.. (2018). Multi-modal characterization of vasculature and nanoparticle accumulation in five tumor xenograft models. Journal of Controlled Release. 279. 292–305. 36 indexed citations
13.
Kim, Jana, Eugene Kim, Leslie R. Euceda, et al.. (2017). Multiparametric characterization of response to anti‐angiogenic therapy using USPIO contrast‐enhanced MRI in combination with dynamic contrast‐enhanced MRI. Journal of Magnetic Resonance Imaging. 47(6). 1589–1600. 11 indexed citations
14.
15.
Huuse, Else Marie, Eugene Kim, Sonja Andersen, et al.. (2014). MRI reveals the in vivo cellular and vascular response to BEZ235 in ovarian cancer xenografts with different PI3-kinase pathway activity. British Journal of Cancer. 112(3). 504–513. 23 indexed citations
16.
Kim, Eugene, et al.. (2013). A bioimage informatics based reconstruction of breast tumor microvasculature with computational blood flow predictions. Microvascular Research. 91. 8–21. 63 indexed citations
17.
Brennick, Michael J., Allan I Pack, Eugene Kim, et al.. (2008). Altered Upper Airway and Soft Tissue Structures in the New Zealand Obese Mouse. American Journal of Respiratory and Critical Care Medicine. 179(2). 158–169. 86 indexed citations
18.
Kim, Eugene, J.E. Bowsher, A Thomas, et al.. (2008). Improving the quantitative accuracy of optical-emission computed tomography by incorporating an attenuation correction: application to HIF1 imaging. Physics in Medicine and Biology. 53(19). 5371–5383. 3 indexed citations
19.
Lee, Seok‐Woo, et al.. (2005). Self-heating Induced Linear Kink Effect in Poly-Si TFTs. 1038–1040. 1 indexed citations
20.
Ronnett, Gabriele V., et al.. (2005). Fatty acid metabolism as a target for obesity treatment. Physiology & Behavior. 85(1). 25–35. 101 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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