Jee-Yin Ahn

695 total citations
7 papers, 580 citations indexed

About

Jee-Yin Ahn is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Jee-Yin Ahn has authored 7 papers receiving a total of 580 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Molecular Biology, 2 papers in Cellular and Molecular Neuroscience and 1 paper in Pulmonary and Respiratory Medicine. Recurrent topics in Jee-Yin Ahn's work include Protein Kinase Regulation and GTPase Signaling (2 papers), RNA modifications and cancer (1 paper) and Adipokines, Inflammation, and Metabolic Diseases (1 paper). Jee-Yin Ahn is often cited by papers focused on Protein Kinase Regulation and GTPase Signaling (2 papers), RNA modifications and cancer (1 paper) and Adipokines, Inflammation, and Metabolic Diseases (1 paper). Jee-Yin Ahn collaborates with scholars based in South Korea, United States and Netherlands. Jee-Yin Ahn's co-authors include Solomon H. Snyder, Keqiang Ye, Rong Rong, Sang Bae Lee, Paul Worley, Eiichiro Nagata, Judith A. Kapp, Honglian Huang, Daniel Kalman and Jiancheng Tu and has published in prestigious journals such as Journal of Biological Chemistry, Nature Neuroscience and Cell Death and Disease.

In The Last Decade

Jee-Yin Ahn

7 papers receiving 575 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Jee-Yin Ahn South Korea	7	340	212	62	62	57	7	580
Trisha R. Stankiewicz United States	8	347 1.0×	136 0.6×	88 1.4×	42 0.7×	69 1.2×	9	548
Helena P. Bonner Ireland	13	455 1.3×	183 0.9×	75 1.2×	33 0.5×	69 1.2×	17	740
Thomas Dino Rockel Germany	11	359 1.1×	111 0.5×	80 1.3×	144 2.3×	39 0.7×	12	609
Danielle E. Read Ireland	8	283 0.8×	148 0.7×	128 2.1×	41 0.7×	45 0.8×	9	492
Hugo Cabedo Spain	13	337 1.0×	303 1.4×	48 0.8×	87 1.4×	77 1.4×	24	700
Jian Sima China	8	259 0.8×	169 0.8×	95 1.5×	104 1.7×	121 2.1×	15	541
Maohong Cao China	14	326 1.0×	117 0.6×	51 0.8×	32 0.5×	126 2.2×	49	631
Lucie Janečková Czechia	16	397 1.2×	269 1.3×	75 1.2×	110 1.8×	138 2.4×	29	846
Yangyang Duan China	10	317 0.9×	82 0.4×	61 1.0×	59 1.0×	47 0.8×	22	572
Jeff Reece United States	7	193 0.6×	145 0.7×	33 0.5×	31 0.5×	39 0.7×	10	363

Countries citing papers authored by Jee-Yin Ahn

Since Specialization

Citations

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

Fields of papers citing papers by Jee-Yin Ahn

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jee-Yin Ahn. 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 Jee-Yin Ahn. The network helps show where Jee-Yin Ahn may publish in the future.

Co-authorship network of co-authors of Jee-Yin Ahn

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

All Works

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7 of 7 papers shown

Song, No-Joon, Vanja Panic, Ui Jeong Yun, et al.. (2018). PI3Ka-Akt1-mediated Prdm4 induction in adipose tissue increases energy expenditure, inhibits weight gain, and improves insulin resistance in diet-induced obese mice. Cell Death and Disease. 9(9). 876–876. 19 indexed citations

Jang, Hwan‐Hee, No-Joon Song, Jong-Keun Kim, et al.. (2014). Black rice (Oryza sativa L.) extracts induce osteoblast differentiation and protect against bone loss in ovariectomized rats. Food & Function. 6(1). 264–274. 29 indexed citations

Lee, Sang Bae, Kyung-Hoon Lee, Younghee Ahn, et al.. (2010). Ribosomal Protein S3, a New Substrate of Akt, Serves as a Signal Mediator between Neuronal Apoptosis and DNA Repair. Journal of Biological Chemistry. 285(38). 29457–29468. 64 indexed citations

Kim, Sang Eun, Ji-Hyun Lee, Jai Youl Ro, et al.. (2009). Simvastatin inhibits induction of matrix metalloproteinase-9 in rat alveolar macrophages exposed to cigarette smoke extract. Experimental & Molecular Medicine. 41(4). 277–277. 46 indexed citations

Nguyen, Nga, et al.. (2008). Neuroprotection by NGF and BDNF Against Neurotoxin-Exerted Apoptotic Death in Neural Stem Cells Are Mediated Through Trk Receptors, Activating PI3-Kinase and MAPK Pathways. Neurochemical Research. 34(5). 942–951. 102 indexed citations

Ahn, Jee-Yin, Rong Rong, Todd G. Kroll, et al.. (2004). PIKE (Phosphatidylinositol 3-Kinase Enhancer)-A GTPase Stimulates Akt Activity and Mediates Cellular Invasion. Journal of Biological Chemistry. 279(16). 16441–16451. 79 indexed citations

Rong, Rong, Jee-Yin Ahn, Honglian Huang, et al.. (2003). PI3 kinase enhancer–Homer complex couples mGluRI to PI3 kinase, preventing neuronal apoptosis. Nature Neuroscience. 6(11). 1153–1161. 241 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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