Sangmok Kim

968 total citations
11 papers, 747 citations indexed

About

Sangmok Kim is a scholar working on Public Health, Environmental and Occupational Health, Molecular Biology and Cellular and Molecular Neuroscience. According to data from OpenAlex, Sangmok Kim has authored 11 papers receiving a total of 747 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Public Health, Environmental and Occupational Health, 3 papers in Molecular Biology and 3 papers in Cellular and Molecular Neuroscience. Recurrent topics in Sangmok Kim's work include Diverse Approaches in Healthcare and Education Studies (4 papers), Neuroscience and Neuropharmacology Research (3 papers) and Psychosocial Factors Impacting Youth (2 papers). Sangmok Kim is often cited by papers focused on Diverse Approaches in Healthcare and Education Studies (4 papers), Neuroscience and Neuropharmacology Research (3 papers) and Psychosocial Factors Impacting Youth (2 papers). Sangmok Kim collaborates with scholars based in United States, Germany and South Korea. Sangmok Kim's co-authors include Paul Worley, David J. Linden, Joo Min Park, Sung Jin Park, Richard L. Huganir, Constance Smith‐Hicks, Shoaib Chowdhury, Jin-Ah Kim, Dietmar Kuhl and Alexey G. Ryazanov and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Neuron and eLife.

In The Last Decade

Sangmok Kim

8 papers receiving 739 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Sangmok Kim United States 6 450 424 188 177 63 11 747
Jin-Ah Kim United States 10 486 1.1× 294 0.7× 271 1.4× 194 1.1× 76 1.2× 15 807
Maggie W. Waung United States 8 346 0.8× 387 0.9× 208 1.1× 183 1.0× 65 1.0× 13 679
Dario Brambilla Italy 10 366 0.8× 268 0.6× 220 1.2× 216 1.2× 67 1.1× 11 766
Weirui Guo United States 7 464 1.0× 298 0.7× 307 1.6× 215 1.2× 75 1.2× 9 808
Marcia D. Antion United States 9 566 1.3× 402 0.9× 358 1.9× 211 1.2× 110 1.7× 9 849
Gregg W. Crabtree United States 11 670 1.5× 314 0.7× 194 1.0× 114 0.6× 43 0.7× 14 905
Israeli Ran Canada 8 427 0.9× 248 0.6× 214 1.1× 231 1.3× 67 1.1× 11 662
Binu Ramachandran Germany 11 350 0.8× 290 0.7× 85 0.5× 136 0.8× 49 0.8× 12 653
Mansuo L. Hayashi United States 8 305 0.7× 225 0.5× 190 1.0× 159 0.9× 87 1.4× 12 562

Countries citing papers authored by Sangmok Kim

Since Specialization
Citations

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

Fields of papers citing papers by Sangmok Kim

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sangmok Kim

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

All Works

11 of 11 papers shown
1.
Kim, Sangmok, et al.. (2025). Mechanically Robust 3D Flexible Electrodes via Embedding Conductive Nanomaterials in the Surface of Polymer Networks. Small Methods. 9(7). e2401839–e2401839. 3 indexed citations
2.
Kim, Jin Sook, et al.. (2020). A study on integrating inter-Korean physical education curriculum through analyzing the German educational integration process. Journal of Korean Society for the Study of Physical Education. 24(4). 15–35.
4.
Park, Sewon, Sangmok Kim, & Young Sik Kim. (2018). Current status and development plan of ICT convergence physical education class using virtual reality (VR) sports room. Korean Association For Learner-Centered Curriculum And Instruction. 18(18). 1003–1025. 7 indexed citations
5.
Kim, Sangmok, et al.. (2017). A Study on Application Method of Process-Centered Evaluation of Elementary School Physical Education : Focused on Net-Type Competition Activities. Journal of Korean Society for the Study of Physical Education. 22(1). 125–140. 1 indexed citations
6.
Marosi, Máté, Jinkuk Choi, Sangmok Kim, et al.. (2017). The E3 ubiquitin ligase IDOL regulates synaptic ApoER2 levels and is important for plasticity and learning. eLife. 6. 21 indexed citations
7.
Kim, Sangmok, et al.. (2016). Influence of CdS Post-deposition Treatment on CIGS Solar Cells. New & Renewable Energy. 12(1). 26–30.
9.
Meer, Elliott J., Dan Ohtan Wang, Sangmok Kim, et al.. (2012). Identification of a cis-acting element that localizes mRNA to synapses. Proceedings of the National Academy of Sciences. 109(12). 4639–4644. 52 indexed citations
10.
Hu, Jiahua, Joo Min Park, Sung Jin Park, et al.. (2010). Homeostatic Scaling Requires Group I mGluR Activation Mediated by Homer1a. Neuron. 68(6). 1128–1142. 197 indexed citations
11.
Park, Sung Jin, Joo Min Park, Sangmok Kim, et al.. (2008). Elongation Factor 2 and Fragile X Mental Retardation Protein Control the Dynamic Translation of Arc/Arg3.1 Essential for mGluR-LTD. Neuron. 59(1). 70–83. 427 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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