Eric Kim

1.5k total citations
22 papers, 1.1k citations indexed

About

Eric Kim is a scholar working on Cellular and Molecular Neuroscience, Molecular Biology and Neurology. According to data from OpenAlex, Eric Kim has authored 22 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Cellular and Molecular Neuroscience, 5 papers in Molecular Biology and 5 papers in Neurology. Recurrent topics in Eric Kim's work include Genetic Neurodegenerative Diseases (7 papers), Neuroscience and Neural Engineering (6 papers) and Neurological disorders and treatments (5 papers). Eric Kim is often cited by papers focused on Genetic Neurodegenerative Diseases (7 papers), Neuroscience and Neural Engineering (6 papers) and Neurological disorders and treatments (5 papers). Eric Kim collaborates with scholars based in United States, New Zealand and Switzerland. Eric Kim's co-authors include Richard L. M. Faull, Henry J. Waldvogel, Lynette J. Tippett, Jean‐Paul G. Vonsattel, Benjamin C.‐Y. Lu, Naomi J. Halas, Maria Odén, Mary Magee Quinn, Nathaniel K. Grady and Peter Nordlander and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Accounts of Chemical Research and ACS Nano.

In The Last Decade

Eric Kim

22 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
Eric Kim United States	17	395	294	278	208	199	22	1.1k
Fankai Lin China	20	78 0.2×	235 0.8×	187 0.7×	237 1.1×	45 0.2×	54	1.1k
Xuechao Gao China	22	106 0.3×	105 0.4×	600 2.2×	184 0.9×	102 0.5×	61	1.7k
Jian Meng China	21	97 0.2×	158 0.5×	213 0.8×	194 0.9×	53 0.3×	83	1.3k
Yunfeng Li China	21	97 0.2×	92 0.3×	153 0.6×	196 0.9×	20 0.1×	105	1.5k
Enhui He China	18	266 0.7×	70 0.2×	62 0.2×	127 0.6×	13 0.1×	42	779
Andreas Leng Germany	16	299 0.8×	34 0.1×	172 0.6×	76 0.4×	199 1.0×	27	1.6k

Countries citing papers authored by Eric Kim

Since Specialization

Citations

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

Fields of papers citing papers by Eric Kim

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Eric Kim

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

Kim, Eric, et al.. (2020). Effects of pressure drop rate and CO₂ content on the foaming behavior of newly developed high-melt-strength polypropylene in continuous extrusion. Journal of Cellular Plastics. 57(4). 413–432. 15 indexed citations

Rong, Guoxin, Eric Kim, Yi Qiang, et al.. (2018). Imaging Sodium Flux during Action Potentials in Neurons with Fluorescent Nanosensors and Transparent Microelectrodes. ACS Sensors. 3(12). 2499–2505. 16 indexed citations

Luo, Yi, Eric Kim, Chris A. Flask, & Heather A. Clark. (2018). Nanosensors for the Chemical Imaging of Acetylcholine Using Magnetic Resonance Imaging. ACS Nano. 12(6). 5761–5773. 34 indexed citations

Kim, Eric, Gregory Chin, Guoxin Rong, Kira E. Poskanzer, & Heather A. Clark. (2018). Optical Probes for Neurobiological Sensing and Imaging. Accounts of Chemical Research. 51(5). 1023–1032. 46 indexed citations

Kim, Eric, et al.. (2017). Flexible deep brain neural probes based on a parylene tube structure. Journal of Micromechanics and Microengineering. 28(1). 15012–15012. 17 indexed citations

Liu, Bin, et al.. (2017). Enhanced biocompatibility of neural probes by integrating microstructures and delivering anti-inflammatory agents via microfluidic channels. Journal of Neural Engineering. 14(2). 26008–26008. 19 indexed citations

Patassini, Stefano, Eric Kim, Henry J. Waldvogel, et al.. (2017). Effect of post-mortem delay on N-terminal huntingtin protein fragments in human control and Huntington disease brain lysates. PLoS ONE. 12(6). e0178556–e0178556. 2 indexed citations

Rong, Guoxin, Eric Kim, Kira E. Poskanzer, & Heather A. Clark. (2017). A method for estimating intracellular ion concentration using optical nanosensors and ratiometric imaging. Scientific Reports. 7(1). 10819–10819. 29 indexed citations

Ahsan, Syed F., Hao Luo, Jinsheng Zhang, Eric Kim, & Yong Xu. (2017). An animal model of deep brain stimulation for treating tinnitus: A proof of concept study. The Laryngoscope. 128(5). 1213–1222. 9 indexed citations

10.

Patassini, Stefano, Paul Begley, Jingshu Xu, et al.. (2016). Metabolite mapping reveals severe widespread perturbation of multiple metabolic processes in Huntington's disease human brain. Biochimica et Biophysica Acta (BBA) - Molecular Basis of Disease. 1862(9). 1650–1662. 40 indexed citations

11.

Nana, Alissa L., Eric Kim, Doris Thu, et al.. (2014). Widespread Heterogeneous Neuronal Loss Across the Cerebral Cortex in Huntington's Disease. Journal of Huntington s Disease. 3(1). 45–64. 51 indexed citations

12.

Suraneni, Prannoy, et al.. (2014). Monitoring Setting of Geopolymers. Advances in Civil Engineering Materials. 3(1). 177–192. 30 indexed citations

13.

Waldvogel, Henry J., Eric Kim, Lynette J. Tippett, Jean‐Paul G. Vonsattel, & Richard L. M. Faull. (2014). The Neuropathology of Huntington’s Disease. Current topics in behavioral neurosciences. 22. 33–80. 203 indexed citations

14.

Waldvogel, Henry J., Eric Kim, Lynette J. Tippett, Jean‐Paul G. Vonsattel, & Richard L. M. Faull. (2014). Neuropathology in the Human Brain. Oxford University Press eBooks. 2 indexed citations

15.

Kim, Eric, Doris Thu, Lynette J. Tippett, et al.. (2014). Cortical interneuron loss and symptom heterogeneity in Huntington disease. Annals of Neurology. 75(5). 717–727. 56 indexed citations

16.

Neumann, Oara, Anjie Dong, Benjamin C.‐Y. Lu, et al.. (2013). Compact solar autoclave based on steam generation using broadband light-harvesting nanoparticles. Proceedings of the National Academy of Sciences. 110(29). 11677–11681. 416 indexed citations

17.

Kim, Eric, et al.. (2013). Multifunctional chronic 3D electrode arrays based on a simple folding process. 1476–1479. 5 indexed citations

18.

Kim, Eric, Hongen Tu, Cheng Lv, et al.. (2013). A robust polymer microcable structure for flexible devices. Applied Physics Letters. 102(3). 20 indexed citations

19.

Waldvogel, Henry J., Eric Kim, Doris Thu, Lynette J. Tippett, & Richard L. M. Faull. (2012). New Perspectives on the Neuropathology in Huntington's Disease in the Human Brain and its Relation to Symptom Variation. Journal of Huntington s Disease. 1(2). 143–153. 38 indexed citations

20.

Kim, Eric. (2012). Understanding effects of silicon/aluminum ratio and calcium hydroxide on chemical composition, nanostructure and compressive strength for metakaolin geopolymers. 31 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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