Choya Yoon

710 total citations
8 papers, 498 citations indexed

About

Choya Yoon is a scholar working on Cellular and Molecular Neuroscience, Developmental Neuroscience and Neurology. According to data from OpenAlex, Choya Yoon has authored 8 papers receiving a total of 498 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Cellular and Molecular Neuroscience, 5 papers in Developmental Neuroscience and 3 papers in Neurology. Recurrent topics in Choya Yoon's work include Nerve injury and regeneration (6 papers), Neurogenesis and neuroplasticity mechanisms (4 papers) and Neuroinflammation and Neurodegeneration Mechanisms (3 papers). Choya Yoon is often cited by papers focused on Nerve injury and regeneration (6 papers), Neurogenesis and neuroplasticity mechanisms (4 papers) and Neuroinflammation and Neurodegeneration Mechanisms (3 papers). Choya Yoon collaborates with scholars based in United States, Denmark and Germany. Choya Yoon's co-authors include Roman J. Giger, Ashley L. Kalinski, Kevin Carbajal, Benjamin M. Segal, Bruce Carter, Željka Korade, Andrew Jerome, Rajasree Menon, Andrew Sas and Mark H. Tuszynski and has published in prestigious journals such as Journal of Biological Chemistry, Journal of Neuroscience and Nature Immunology.

In The Last Decade

Choya Yoon

8 papers receiving 494 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Choya Yoon United States	7	252	164	117	104	101	8	498
Jane A. Lindborg United States	8	389 1.5×	147 0.9×	170 1.5×	128 1.2×	62 0.6×	9	573
Teresa A. Evans United States	9	184 0.7×	156 1.0×	114 1.0×	181 1.7×	81 0.8×	13	584
Christina Francisca Vogelaar Germany	15	302 1.2×	243 1.5×	122 1.0×	138 1.3×	122 1.2×	23	711
Yang Qiu China	12	180 0.7×	155 0.9×	157 1.3×	120 1.2×	46 0.5×	27	541
Nevena Djogo Germany	12	204 0.8×	167 1.0×	113 1.0×	99 1.0×	29 0.3×	13	489
Ashley L. Kalinski United States	10	343 1.4×	419 2.6×	147 1.3×	125 1.2×	106 1.0×	15	778
Ganlan Bian China	12	114 0.5×	202 1.2×	74 0.6×	132 1.3×	110 1.1×	19	509
Anne Ladwig Germany	9	102 0.4×	132 0.8×	109 0.9×	217 2.1×	50 0.5×	12	440
Omedul Islam Singapore	5	172 0.7×	274 1.7×	181 1.5×	85 0.8×	46 0.5×	7	565

Countries citing papers authored by Choya Yoon

Since Specialization

Citations

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

Fields of papers citing papers by Choya Yoon

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Choya Yoon

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

All Works

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8 of 8 papers shown

Bardehle, Sophia, Choya Yoon, Niyanta Kumar, et al.. (2023). Microglial roles in Alzheimer's disease: An agent‐based model to elucidate microglial spatiotemporal response to beta‐amyloid. CPT Pharmacometrics & Systems Pharmacology. 13(3). 449–463. 4 indexed citations

Kalinski, Ashley L., Choya Yoon, Lucas D. Huffman, et al.. (2020). Analysis of the immune response to sciatic nerve injury identifies efferocytosis as a key mechanism of nerve debridement. eLife. 9. 116 indexed citations

Sas, Andrew, Kevin Carbajal, Andrew Jerome, et al.. (2020). A new neutrophil subset promotes CNS neuron survival and axon regeneration. Nature Immunology. 21(12). 1496–1505. 174 indexed citations

Pawelec, Kendell M., Choya Yoon, Roman J. Giger, & Jeff Sakamoto. (2019). Engineering a platform for nerve regeneration with direct application to nerve repair technology. Biomaterials. 216. 119263–119263. 28 indexed citations

Hao, Yan, Erin Frey, Choya Yoon, et al.. (2016). An evolutionarily conserved mechanism for cAMP elicited axonal regeneration involves direct activation of the dual leucine zipper kinase DLK. eLife. 5. 51 indexed citations

Yoon, Choya, Erna A. van Niekerk, Kenneth W. Henry, et al.. (2013). Low-density Lipoprotein Receptor-related Protein 1 (LRP1)-dependent Cell Signaling Promotes Axonal Regeneration. Journal of Biological Chemistry. 288(37). 26557–26568. 35 indexed citations

Yoon, Choya & Mark H. Tuszynski. (2012). Frontiers Of Spinal Cord And Spine Repair: Experimental Approaches for Repair of Spinal Cord Injury. Advances in experimental medicine and biology. 760. 1–15. 16 indexed citations

Yoon, Choya, Željka Korade, & Bruce Carter. (2008). Protein Kinase A-Induced Phosphorylation of the p65 Subunit of Nuclear Factor-κB Promotes Schwann Cell Differentiation into a Myelinating Phenotype. Journal of Neuroscience. 28(14). 3738–3746. 74 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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