Jessica M. Posimo

1.2k total citations · 1 hit paper
21 papers, 829 citations indexed

About

Jessica M. Posimo is a scholar working on Molecular Biology, Physiology and Cell Biology. According to data from OpenAlex, Jessica M. Posimo has authored 21 papers receiving a total of 829 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Molecular Biology, 10 papers in Physiology and 9 papers in Cell Biology. Recurrent topics in Jessica M. Posimo's work include Endoplasmic Reticulum Stress and Disease (6 papers), Alzheimer's disease research and treatments (5 papers) and Biochemical effects in animals (5 papers). Jessica M. Posimo is often cited by papers focused on Endoplasmic Reticulum Stress and Disease (6 papers), Alzheimer's disease research and treatments (5 papers) and Biochemical effects in animals (5 papers). Jessica M. Posimo collaborates with scholars based in United States. Jessica M. Posimo's co-authors include Donita C. Brady, Tiffany Tsang, A. Andrea Gudiel, David M. Feldser, Michelle Cicchini, Rehana K. Leak, Amanda M. Gleixner, Christopher J. Chang, Julianne M. Davis and Sumin Lee and has published in prestigious journals such as Proceedings of the National Academy of Sciences, PLoS ONE and Nature Cell Biology.

In The Last Decade

Jessica M. Posimo

20 papers receiving 822 citations

Hit Papers

Copper is an essential re... 2020 2026 2022 2024 2020 50 100 150 200 250

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jessica M. Posimo United States 15 367 260 179 156 106 21 829
Kazunori Yamanaka Japan 17 469 1.3× 79 0.3× 170 0.9× 91 0.6× 113 1.1× 45 1.0k
Yassine El Hiani Canada 23 742 2.0× 128 0.5× 134 0.7× 333 2.1× 99 0.9× 45 1.2k
Ioav Cabantchik Israel 12 413 1.1× 150 0.6× 71 0.4× 191 1.2× 91 0.9× 18 841
Pauline Chabosseau United Kingdom 20 550 1.5× 409 1.6× 93 0.5× 42 0.3× 100 0.9× 32 1.2k
Daywin Patel Canada 17 577 1.6× 80 0.3× 394 2.2× 152 1.0× 62 0.6× 42 1.2k
Shu‐Hui Zhang China 17 474 1.3× 46 0.2× 119 0.7× 96 0.6× 99 0.9× 42 1.1k
Joshua D. Schoenfeld United States 9 210 0.6× 120 0.5× 49 0.3× 68 0.4× 173 1.6× 20 538
Sjenet E. van Emst‐de Vries Netherlands 20 1.1k 2.9× 86 0.3× 99 0.6× 250 1.6× 95 0.9× 40 1.4k
Yang V. Li United States 17 320 0.9× 449 1.7× 108 0.6× 21 0.1× 121 1.1× 31 1.0k
Yuki Sakakura Japan 8 449 1.2× 48 0.2× 96 0.5× 183 1.2× 81 0.8× 10 888

Countries citing papers authored by Jessica M. Posimo

Since Specialization
Citations

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

Fields of papers citing papers by Jessica M. Posimo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jessica M. Posimo. 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 Jessica M. Posimo. The network helps show where Jessica M. Posimo may publish in the future.

Co-authorship network of co-authors of Jessica M. Posimo

This figure shows the co-authorship network connecting the top 25 collaborators of Jessica M. Posimo. A scholar is included among the top collaborators of Jessica M. Posimo 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 Jessica M. Posimo. Jessica M. Posimo 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.
Tsang, Tiffany, et al.. (2022). BRAFV600E-Driven Lung Adenocarcinoma Requires Copper to Sustain Autophagic Signaling and Processing. Molecular Cancer Research. 20(7). 1096–1107. 24 indexed citations
2.
Kim, Bang‐Jin, Jessica M. Posimo, Tiffany Tsang, et al.. (2022). Loss of p19Arf promotes fibroblast survival during leucine deprivation. Biology Open. 11(2).
3.
Bhatia, Tarun N., Dhivyaa Rajasundaram, Sylvie Sauvaigo, et al.. (2022). α-synucleinopathy exerts sex-dimorphic effects on the multipurpose DNA repair/redox protein APE1 in mice and humans. Progress in Neurobiology. 216. 102307–102307. 9 indexed citations
4.
Kim, Ye‐Jin, Tiffany Tsang, Grace R. Anderson, Jessica M. Posimo, & Donita C. Brady. (2020). Inhibition of BCL2 Family Members Increases the Efficacy of Copper Chelation in BRAFV600E-Driven Melanoma. Cancer Research. 80(7). 1387–1400. 38 indexed citations
5.
Tsang, Tiffany, Jessica M. Posimo, A. Andrea Gudiel, et al.. (2020). Copper is an essential regulator of the autophagic kinases ULK1/2 to drive lung adenocarcinoma. Nature Cell Biology. 22(4). 412–424. 268 indexed citations breakdown →
6.
Rasool, Reyaz ur, Ramakrishnan Natesan, Qu Deng, et al.. (2019). CDK7 Inhibition Suppresses Castration-Resistant Prostate Cancer through MED1 Inactivation. Cancer Discovery. 9(11). 1538–1555. 86 indexed citations
7.
Chung, Clive Yik‐Sham, Jessica M. Posimo, Sumin Lee, et al.. (2019). Activity-based ratiometric FRET probe reveals oncogene-driven changes in labile copper pools induced by altered glutathione metabolism. Proceedings of the National Academy of Sciences. 116(37). 18285–18294. 122 indexed citations
8.
Kim, Ye‐Jin, et al.. (2019). Copper chaperone ATOX1 is required for MAPK signaling and growth in BRAF mutation-positive melanoma. Metallomics. 11(8). 1430–1440. 50 indexed citations
9.
Posimo, Jessica M., et al.. (2016). Synergistic stress exacerbation in hippocampal neurons: Evidence favoring the dual‐hit hypothesis of neurodegeneration. Hippocampus. 26(8). 980–994. 20 indexed citations
10.
Posimo, Jessica M., et al.. (2015). Heat shock protein defenses in the neocortex and allocortex of the telencephalon. Neurobiology of Aging. 36(5). 1924–1937. 12 indexed citations
11.
Gleixner, Amanda M., et al.. (2015). Heat shock protein responses to aging and proteotoxicity in the olfactory bulb. Journal of Neurochemistry. 133(6). 780–794. 16 indexed citations
12.
Gleixner, Amanda M., Jessica M. Posimo, Deepti Pant, Matthew Henderson, & Rehana K. Leak. (2015). Astrocytes Surviving Severe Stress Can Still Protect Neighboring Neurons from Proteotoxic Injury. Molecular Neurobiology. 53(7). 4939–4960. 16 indexed citations
13.
Gleixner, Amanda M., et al.. (2014). Impact of aging on heat shock protein expression in the substantia nigra and striatum of the female rat. Cell and Tissue Research. 357(1). 43–54. 26 indexed citations
14.
Posimo, Jessica M., et al.. (2014). Viability Assays for Cells in Culture. Journal of Visualized Experiments. e50645–e50645. 32 indexed citations
15.
Posimo, Jessica M., et al.. (2013). N-Acetyl cysteine prevents synergistic, severe toxicity from two hits of oxidative stress. Neuroscience Letters. 560. 71–76. 23 indexed citations
16.
Gleixner, Amanda M., et al.. (2013). N-Acetyl cysteine blunts proteotoxicity in a heat shock protein-dependent manner. Neuroscience. 255. 19–32. 14 indexed citations
17.
Posimo, Jessica M., et al.. (2013). Astrocyte plasticity revealed by adaptations to severe proteotoxic stress. Cell and Tissue Research. 352(3). 427–443. 19 indexed citations
18.
Posimo, Jessica M., et al.. (2013). Neocortex and Allocortex Respond Differentially to Cellular Stress In Vitro and Aging In Vivo. PLoS ONE. 8(3). e58596–e58596. 27 indexed citations
19.
Posimo, Jessica M., et al.. (2013). Correction: Neocortex and Allocortex Respond Differentially to Cellular Stress In Vitro and Aging In Vivo. PLoS ONE. 8(10). 3 indexed citations
20.
Posimo, Jessica M., et al.. (2012). Rescue from a two hit, high-throughput model of neurodegeneration with N-acetyl cysteine. Neurochemistry International. 61(3). 356–368. 21 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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