Jaekyung Koh

724 total citations · 1 hit paper
6 papers, 590 citations indexed

About

Jaekyung Koh is a scholar working on Biomaterials, Surgery and Genetics. According to data from OpenAlex, Jaekyung Koh has authored 6 papers receiving a total of 590 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Biomaterials, 2 papers in Surgery and 1 paper in Genetics. Recurrent topics in Jaekyung Koh's work include Electrospun Nanofibers in Biomedical Applications (3 papers), Tissue Engineering and Regenerative Medicine (2 papers) and Hydrogels: synthesis, properties, applications (1 paper). Jaekyung Koh is often cited by papers focused on Electrospun Nanofibers in Biomedical Applications (3 papers), Tissue Engineering and Regenerative Medicine (2 papers) and Hydrogels: synthesis, properties, applications (1 paper). Jaekyung Koh collaborates with scholars based in United States and Taiwan. Jaekyung Koh's co-authors include Dino Di Carlo, Maani M. Archang, Tatiana Segura, Donald R. Griffin, Philip O. Scumpia, Westbrook M. Weaver, Chen‐Hsiang Kuan, Jason S. Weinstein, Elias Sideris and Maksim V. Plikus and has published in prestigious journals such as Nature Materials, Advanced Functional Materials and Small.

In The Last Decade

Jaekyung Koh

6 papers receiving 585 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Activating an adaptive immune response from a hydrogel scaffold imparts regenerative wound healing

2020 389 citations Donald R. Griffin, Maani M. Archang et al. Nature Materials profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Jaekyung Koh United States	5	274	252	173	120	97	6	590
Yanlun Zhu China	13	404 1.5×	179 0.7×	113 0.7×	198 1.6×	82 0.8×	18	746
Lingzhi Kong China	9	236 0.9×	199 0.8×	247 1.4×	130 1.1×	78 0.8×	13	625
Zhimo Liu China	11	209 0.8×	227 0.9×	231 1.3×	90 0.8×	35 0.4×	13	550
Rongwei Tan China	17	363 1.3×	288 1.1×	102 0.6×	85 0.7×	108 1.1×	29	690
Yafang Chen China	17	259 0.9×	273 1.1×	53 0.3×	106 0.9×	87 0.9×	55	676
Amal George Kurian South Korea	10	403 1.5×	169 0.7×	90 0.5×	66 0.6×	66 0.7×	16	660
Helena Knopf‐Marques France	10	329 1.2×	239 0.9×	53 0.3×	131 1.1×	52 0.5×	13	639
Xiaoyu Han China	13	382 1.4×	176 0.7×	62 0.4×	80 0.7×	48 0.5×	35	724
Dongmei Tong China	6	308 1.1×	186 0.7×	102 0.6×	160 1.3×	55 0.6×	9	562

Countries citing papers authored by Jaekyung Koh

Since Specialization

Citations

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

Fields of papers citing papers by Jaekyung Koh

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jaekyung Koh

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

All Works

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6 of 6 papers shown

1.

Fang, Jun, Jaekyung Koh, Qizhi Fang, et al.. (2020). Injectable Drug‐Releasing Microporous Annealed Particle Scaffolds for Treating Myocardial Infarction. Advanced Functional Materials. 30(43). 91 indexed citations

2.

Griffin, Donald R., Maani M. Archang, Chen‐Hsiang Kuan, et al.. (2020). Activating an adaptive immune response from a hydrogel scaffold imparts regenerative wound healing. Nature Materials. 20(4). 560–569. 389 indexed citations breakdown →

3.

Fang, Jun, Jaekyung Koh, Qizhi Fang, et al.. (2020). Drug Delivery: Injectable Drug‐Releasing Microporous Annealed Particle Scaffolds for Treating Myocardial Infarction (Adv. Funct. Mater. 43/2020). Advanced Functional Materials. 30(43). 4 indexed citations

4.

Rutte, Joseph de, Jaekyung Koh, & Dino Di Carlo. (2019). Hydrogels: Scalable High‐Throughput Production of Modular Microgels for In Situ Assembly of Microporous Tissue Scaffolds (Adv. Funct. Mater. 25/2019). Advanced Functional Materials. 29(25). 6 indexed citations

5.

Koh, Jaekyung, Donald R. Griffin, Maani M. Archang, et al.. (2019). Enhanced In Vivo Delivery of Stem Cells using Microporous Annealed Particle Scaffolds. Small. 15(39). e1903147–e1903147. 97 indexed citations

6.

Koh, Jaekyung, et al.. (2015). Research highlights: translating chips. Lab on a Chip. 15(9). 1984–1988. 3 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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