Jae Mun Kim

444 total citations
14 papers, 272 citations indexed

About

Jae Mun Kim is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Neurology. According to data from OpenAlex, Jae Mun Kim has authored 14 papers receiving a total of 272 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Molecular Biology, 4 papers in Cellular and Molecular Neuroscience and 3 papers in Neurology. Recurrent topics in Jae Mun Kim's work include Nerve injury and regeneration (4 papers), Single-cell and spatial transcriptomics (3 papers) and Amyotrophic Lateral Sclerosis Research (3 papers). Jae Mun Kim is often cited by papers focused on Nerve injury and regeneration (4 papers), Single-cell and spatial transcriptomics (3 papers) and Amyotrophic Lateral Sclerosis Research (3 papers). Jae Mun Kim collaborates with scholars based in United States, South Korea and Spain. Jae Mun Kim's co-authors include John Ravits, Yuxin Fan, Randell T. Libby, Michael W. Baughn, Young Joo Kim, Albert La Spada, Stuart J. Rabin, Brad Stone, Daniel Romaus‐Sanjurjo and Christopher A. Haiman and has published in prestigious journals such as Neuron, PLoS ONE and Scientific Reports.

In The Last Decade

Jae Mun Kim

14 papers receiving 268 citations

Peers

Jae Mun Kim
Nicolás Gómez United States
Jae Mun Kim
Citations per year, relative to Jae Mun Kim Jae Mun Kim (= 1×) peers Nicolás Gómez

Countries citing papers authored by Jae Mun Kim

Since Specialization
Citations

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

Fields of papers citing papers by Jae Mun Kim

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jae Mun Kim

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

All Works

14 of 14 papers shown
2.
Geoffroy, Cédric G., et al.. (2022). Targeting PTEN but not SOCS3 resists an age-dependent decline in promoting axon sprouting. iScience. 25(11). 105383–105383. 5 indexed citations
3.
Romaus‐Sanjurjo, Daniel, et al.. (2022). Overexpressing eukaryotic elongation factor 1 alpha (eEF1A) proteins to promote corticospinal axon repair after injury. Cell Death Discovery. 8(1). 390–390. 17 indexed citations
4.
Woo, Young Min, Young Sang Kwon, Sung‐Min Park, et al.. (2022). Hair Growth Effect of TS-SCLF from Schisandra chinensis Extract Fermented with Lactobacillus plantarum. Microbiology and Biotechnology Letters. 50(4). 533–547. 2 indexed citations
5.
Evgrafov, Oleg V., Chris Armoskus, Bozena Wrobel, et al.. (2020). Gene Expression in Patient-Derived Neural Progenitors Implicates WNT5A Signaling in the Etiology of Schizophrenia. Biological Psychiatry. 88(3). 236–247. 18 indexed citations
6.
Kim, Jae Mun, Adrian Camarena, Christopher Walker, et al.. (2020). Robust RNA-Seq of aRNA-amplified single cell material collected by patch clamp. Scientific Reports. 10(1). 1979–1979. 5 indexed citations
7.
Fox, Andrew S., Tade Souaiaia, Jonathan A. Oler, et al.. (2019). Dorsal Amygdala Neurotrophin-3 Decreases Anxious Temperament in Primates. Biological Psychiatry. 86(12). 881–889. 22 indexed citations
8.
Kim, Beom Joon, Jae Mun Kim, Bang Yeon Hwang, et al.. (2018). α-Viniferin Improves Facial Hyperpigmentation via Accelerating Feedback Termination of cAMP/PKA-Signaled Phosphorylation Circuit in Facultative Melanogenesis. Theranostics. 8(7). 2031–2043. 22 indexed citations
9.
Knowles, James A., Oleg V. Evgrafov, William J. Mack, et al.. (2018). Evaluation of biological and technical variations in low-input RNA-Seq and single-cell RNA-Seq. International Journal of Computational Biology and Drug Design. 11(1/2). 5–5. 2 indexed citations
10.
Gao, Fan, Jae Mun Kim, Charles Y. Liu, et al.. (2018). Evaluation of biological and technical variations in low-input RNA-Seq and single-cell RNA-Seq. International Journal of Computational Biology and Drug Design. 11(1/2). 5–5. 2 indexed citations
11.
Rhie, Suhn K., Simon G. Coetzee, Houtan Noushmehr, et al.. (2013). Comprehensive Functional Annotation of Seventy-One Breast Cancer Risk Loci. PLoS ONE. 8(5). e63925–e63925. 31 indexed citations
13.
Kim, Young Joo, et al.. (2010). No evidence of HIV pol gene in spinal cord tissues in sporadic ALS by real-time RT-PCR. Amyotrophic Lateral Sclerosis. 11(1-2). 91–96. 9 indexed citations
14.
Rabin, Stuart J., Jae Mun Kim, Michael W. Baughn, et al.. (2009). Sporadic ALS has compartment-specific aberrant exon splicing and altered cell–matrix adhesion biology. Human Molecular Genetics. 19(2). 313–328. 106 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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