Il‐Sang Yoon

665 total citations
8 papers, 568 citations indexed

About

Il‐Sang Yoon is a scholar working on Physiology, Molecular Biology and Cell Biology. According to data from OpenAlex, Il‐Sang Yoon has authored 8 papers receiving a total of 568 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Physiology, 4 papers in Molecular Biology and 4 papers in Cell Biology. Recurrent topics in Il‐Sang Yoon's work include Alzheimer's disease research and treatments (5 papers), Cellular transport and secretion (3 papers) and Endoplasmic Reticulum Stress and Disease (2 papers). Il‐Sang Yoon is often cited by papers focused on Alzheimer's disease research and treatments (5 papers), Cellular transport and secretion (3 papers) and Endoplasmic Reticulum Stress and Disease (2 papers). Il‐Sang Yoon collaborates with scholars based in United States, Canada and France. Il‐Sang Yoon's co-authors include Edward H. Koo, David E. Kang, Tracy Busse, Claus U. Pietrzik, Sébastian Jaeger, Sascha Weggen, Emanuela Repetto, Eunice Chen, Madepalli K. Lakshmana and Hui Zheng and has published in prestigious journals such as Journal of Biological Chemistry, Journal of Neuroscience and Biological Psychiatry.

In The Last Decade

Il‐Sang Yoon

8 papers receiving 561 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Il‐Sang Yoon United States	8	329	300	158	92	76	8	568
Sara E. Dodson United States	7	507 1.5×	344 1.1×	155 1.0×	177 1.9×	21 0.3×	8	700
Heidi J Clarris Australia	10	443 1.3×	341 1.1×	126 0.8×	231 2.5×	110 1.4×	13	719
Ryousuke Fujita Japan	11	314 1.0×	526 1.8×	107 0.7×	218 2.4×	31 0.4×	13	806
Raffaella Capobianco Italy	12	330 1.0×	336 1.1×	25 0.2×	86 0.9×	46 0.6×	18	574
Alice Lu United States	6	218 0.7×	290 1.0×	118 0.7×	84 0.9×	8 0.1×	9	445
Oleg Dyachok Sweden	13	71 0.2×	561 1.9×	96 0.6×	131 1.4×	44 0.6×	19	893
Caterina Peggion Italy	15	178 0.5×	543 1.8×	73 0.5×	91 1.0×	12 0.2×	34	735
Natalie Landman United States	7	146 0.4×	276 0.9×	96 0.6×	162 1.8×	13 0.2×	13	501
Dora M. Kovacs United States	8	362 1.1×	357 1.2×	102 0.6×	288 3.1×	8 0.1×	9	685
Marie Violet France	5	481 1.5×	335 1.1×	76 0.5×	207 2.3×	6 0.1×	5	676

Countries citing papers authored by Il‐Sang Yoon

Since Specialization

Citations

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

Fields of papers citing papers by Il‐Sang Yoon

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Il‐Sang Yoon

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

All Works

Sort: Min cites: Since: Top N: Style:

8 of 8 papers shown

Lakshmana, Madepalli K., et al.. (2009). Novel Role of RanBP9 in BACE1 Processing of Amyloid Precursor Protein and Amyloid β Peptide Generation. Journal of Biological Chemistry. 284(18). 11863–11872. 74 indexed citations

Lakshmana, Madepalli K., Eunice Chen, Il‐Sang Yoon, & David E. Kang. (2008). C‐terminal 37 residues of LRP promote the amyloidogenic processing of APP independent of FE65. Journal of Cellular and Molecular Medicine. 12(6b). 2665–2674. 16 indexed citations

Repetto, Emanuela, Il‐Sang Yoon, Hui Zheng, & David E. Kang. (2007). Presenilin 1 Regulates Epidermal Growth Factor Receptor Turnover and Signaling in the Endosomal-Lysosomal Pathway. Journal of Biological Chemistry. 282(43). 31504–31516. 69 indexed citations

Yoon, Il‐Sang, Eunice Chen, Tracy Busse, et al.. (2007). Low‐density lipoprotein receptor‐related protein promotes amyloid precursor protein trafficking to lipid rafts in the endocytic pathway. The FASEB Journal. 21(11). 2742–2752. 65 indexed citations

Xu, Chun, Fabìo Macciardi, Peter P. Li, et al.. (2005). Association of the putative susceptibility gene, transient receptor potential protein melastatin type 2, with bipolar disorder. American Journal of Medical Genetics Part B Neuropsychiatric Genetics. 141B(1). 36–43. 73 indexed citations

Yoon, Il‐Sang, Claus U. Pietrzik, David E. Kang, & Edward H. Koo. (2005). Sequences from the Low Density Lipoprotein Receptor-related Protein (LRP) Cytoplasmic Domain Enhance Amyloid β Protein Production via the β-Secretase Pathway without Altering Amyloid Precursor Protein/LRP Nuclear Signaling. Journal of Biological Chemistry. 280(20). 20140–20147. 30 indexed citations

Pietrzik, Claus U., Il‐Sang Yoon, Sébastian Jaeger, et al.. (2004). FE65 Constitutes the Functional Link between the Low-Density Lipoprotein Receptor-Related Protein and the Amyloid Precursor Protein. Journal of Neuroscience. 24(17). 4259–4265. 184 indexed citations

Yoon, Il‐Sang, Peter P. Li, K. W. Michael Siu, et al.. (2001). Altered TRPC7 gene expression in bipolar-I disorder. Biological Psychiatry. 50(8). 620–626. 57 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.

Explore authors with similar magnitude of impact