Sonia S. Jung

1.2k total citations
21 papers, 1.1k citations indexed

About

Sonia S. Jung is a scholar working on Physiology, Molecular Biology and Oncology. According to data from OpenAlex, Sonia S. Jung has authored 21 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Physiology, 10 papers in Molecular Biology and 6 papers in Oncology. Recurrent topics in Sonia S. Jung's work include Alzheimer's disease research and treatments (14 papers), Intracerebral and Subarachnoid Hemorrhage Research (4 papers) and Amyloidosis: Diagnosis, Treatment, Outcomes (4 papers). Sonia S. Jung is often cited by papers focused on Alzheimer's disease research and treatments (14 papers), Intracerebral and Subarachnoid Hemorrhage Research (4 papers) and Amyloidosis: Diagnosis, Treatment, Outcomes (4 papers). Sonia S. Jung collaborates with scholars based in United States, Canada and Italy. Sonia S. Jung's co-authors include William E. Van Nostrand, Neil R. Cashman, Efrat Levy, Weibing Zhang, Ralph A. Nixon, Agnieszka Staniszewski, Li‐Chin Yao, Weiqian Mi, Stephen D. Schmidt and Mauro Fà and has published in prestigious journals such as Journal of Biological Chemistry, Journal of Clinical Investigation and Nature Genetics.

In The Last Decade

Sonia S. Jung

21 papers receiving 1.0k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Sonia S. Jung United States 12 627 364 159 148 137 21 1.1k
Shiro Sugihara Japan 18 738 1.2× 437 1.2× 177 1.1× 136 0.9× 158 1.2× 44 1.2k
Larry Peterson United States 6 385 0.6× 166 0.5× 278 1.7× 91 0.6× 73 0.5× 6 893
Kenzo Terashita Japan 19 557 0.9× 546 1.5× 339 2.1× 82 0.6× 152 1.1× 25 1.2k
Masahide Fujita Japan 18 272 0.4× 347 1.0× 101 0.6× 222 1.5× 69 0.5× 63 949
Lisa Smithson United States 14 553 0.9× 553 1.5× 147 0.9× 86 0.6× 173 1.3× 16 1.4k
Robert De Decker Belgium 17 498 0.8× 359 1.0× 213 1.3× 74 0.5× 110 0.8× 28 1.1k
Joseph M. Martinez United States 17 226 0.4× 299 0.8× 147 0.9× 55 0.4× 61 0.4× 26 909
Zhiming Suo United States 18 696 1.1× 464 1.3× 283 1.8× 45 0.3× 116 0.8× 23 1.5k
Karen M. Mann United States 8 486 0.8× 596 1.6× 136 0.9× 306 2.1× 92 0.7× 16 1.1k
Elisabeth Berber United States 7 832 1.3× 1.1k 3.1× 96 0.6× 353 2.4× 44 0.3× 8 2.6k

Countries citing papers authored by Sonia S. Jung

Since Specialization
Citations

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

Fields of papers citing papers by Sonia S. Jung

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Sonia S. Jung. 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 Sonia S. Jung. The network helps show where Sonia S. Jung may publish in the future.

Co-authorship network of co-authors of Sonia S. Jung

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

All Works

20 of 20 papers shown
1.
Huang, Fei, Shinichiro Wachi, Hao Liu, Sonia S. Jung, & Avery August. (2015). IL-32B is the predominant isoform expressed under inflammatory conditions in vitro and in COPD. 1(1). 4 indexed citations
2.
Gauthier, Sébastien A., Susmita Sahoo, Sonia S. Jung, & Efrat Levy. (2012). Murine Cerebrovascular Cells as a Cell Culture Model for Cerebral Amyloid Angiopathy: Isolation of Smooth Muscle and Endothelial Cells from Mouse Brain. Methods in molecular biology. 849. 261–274. 18 indexed citations
3.
Jung, Sonia S. & Heath Guay. (2011). Role of IL-21 in Systemic Lupus Erythematosus. Journal of Clinical & Cellular Immunology. 2 indexed citations
4.
Boland, Barry, et al.. (2010). Macroautophagy Is Not Directly Involved in the Metabolism of Amyloid Precursor Protein. Journal of Biological Chemistry. 285(48). 37415–37426. 75 indexed citations
5.
Puzzo, Daniela, Lucia Privitera, Mauro Fà, et al.. (2010). Endogenous amyloid‐β is necessary for hippocampal synaptic plasticity and memory. Annals of Neurology. 69(5). 819–830. 245 indexed citations
6.
Teplyakov, A., Galina Obmolova, Gabriela Canziani, et al.. (2010). His‐tag binding by antibody C706 mimics β‐amyloid recognition. Journal of Molecular Recognition. 24(4). 570–575. 5 indexed citations
7.
Bałuk, Peter, Li‐Chin Yao, Jennifer Feng, et al.. (2009). TNF-α drives remodeling of blood vessels and lymphatics in sustained airway inflammation in mice. Journal of Clinical Investigation. 119(10). 2954–64. 168 indexed citations
8.
Mi, Weiqian, Sonia S. Jung, Wai Haung Yu, et al.. (2009). Complexes of Amyloid-β and Cystatin C in the Human Central Nervous System. Journal of Alzheimer s Disease. 18(2). 273–280. 29 indexed citations
9.
Mi, Weiqian, Monika Pawlik, Magdalena Sastre, et al.. (2007). Cystatin C inhibits amyloid-β deposition in Alzheimer's disease mouse models. Nature Genetics. 39(12). 1440–1442. 166 indexed citations
10.
11.
Jung, Sonia S. & Efrat Levy. (2004). P2-135 Murine cerebrovascular cells as a cell culture model for cerebral amyloid angiopathy. Neurobiology of Aging. 25. S263–S263. 1 indexed citations
12.
Jung, Sonia S., Weibing Zhang, & William E. Van Nostrand. (2003). Pathogenic Aβ induces the expression and activation of matrix metalloproteinase‐2 in human cerebrovascular smooth muscle cells. Journal of Neurochemistry. 85(5). 1208–1215. 60 indexed citations
13.
Jung, Sonia S. & William E. Van Nostrand. (2002). A?? does not induce oxidative stress in human cerebrovascular smooth muscle cells. Neuroreport. 13(10). 1309–1312. 10 indexed citations
14.
Jung, Sonia S. & Neil R. Cashman. (1999). Processing of the betaamyloid precursor protein in ex vivo human brain cells. Neuroreport. 10(18). 3875–3879. 8 indexed citations
15.
Jung, Sonia S., Serge Gauthier, & Neil R. Cashman. (1999). β-Amyloid precursor protein is detectable on monocytes and is increased in Alzheimer’s disease. Neurobiology of Aging. 20(3). 249–257. 30 indexed citations
16.
Stüve, Olaf, Sophie Chabot, Sonia S. Jung, Gary J. Williams, & V. Wee Yong. (1997). Chemokine-enhanced migration of human peripheral blood mononuclear cells is antagonized by interferon beta-1b through an effect on matrix metalloproteinase-9. Journal of Neuroimmunology. 80(1-2). 38–46. 92 indexed citations
17.
Jung, Sonia S., et al.. (1997). Lymphocyte content of amyloid precursor protein is increased in Down's syndrome and aging. Neurobiology of Aging. 18(1). 97–103. 25 indexed citations
18.
Jung, Sonia S., Joséphine Nalbantoglu, & Neil R. Cashman. (1996). Alzheimer's beta‐amyloid precursor protein is expressed on the surface of immediately ex vivo brain cells: A flow cytometric study. Journal of Neuroscience Research. 46(3). 336–348. 1 indexed citations
19.
Chan, Sic L., et al.. (1996). Ubiquitin and Alzheimerʼs amyloid ß precursor protein colocalize to endosomes-lysosomes in cultured human cells. Neuroreport. 8(1). 385–389. 10 indexed citations
20.
Jung, Sonia S., Joséphine Nalbantoglu, & Neil R. Cashman. (1996). Alzheimer's beta-amyloid precursor protein is expressed on the surface of immediately ex vivo brain cells: A flow cytometric study. Journal of Neuroscience Research. 46(3). 336–348. 37 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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