Sarah Cohen

5.0k total citations · 3 hit papers
48 papers, 3.4k citations indexed

About

Sarah Cohen is a scholar working on Molecular Biology, Cell Biology and Biochemistry. According to data from OpenAlex, Sarah Cohen has authored 48 papers receiving a total of 3.4k indexed citations (citations by other indexed papers that have themselves been cited), including 31 papers in Molecular Biology, 12 papers in Cell Biology and 12 papers in Biochemistry. Recurrent topics in Sarah Cohen's work include Lipid metabolism and biosynthesis (12 papers), Mitochondrial Function and Pathology (10 papers) and Virus-based gene therapy research (9 papers). Sarah Cohen is often cited by papers focused on Lipid metabolism and biosynthesis (12 papers), Mitochondrial Function and Pathology (10 papers) and Virus-based gene therapy research (9 papers). Sarah Cohen collaborates with scholars based in United States, Canada and France. Sarah Cohen's co-authors include Jennifer Lippincott‐Schwartz, Angelika S. Rambold, Alex M. Valm, Harry T. Haigler, Nelly Panté, Justin Melunis, Uri Hershberg, Wesley R. Legant, Andrew R. Cohen and Eric Betzig and has published in prestigious journals such as Nature, Science and Proceedings of the National Academy of Sciences.

In The Last Decade

Sarah Cohen

45 papers receiving 3.3k citations

Hit Papers

Applying syste... 1979 2026 1994 2010 2017 2015 1979 250 500 750

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Sarah Cohen United States 23 2.0k 792 704 477 440 48 3.4k
Carles Rentero Spain 34 2.5k 1.2× 345 0.4× 791 1.1× 449 0.9× 290 0.7× 71 3.6k
Nica Borgese Italy 41 3.2k 1.5× 262 0.3× 1.8k 2.6× 479 1.0× 390 0.9× 91 4.7k
Marta Bosch Spain 26 2.2k 1.1× 741 0.9× 830 1.2× 471 1.0× 352 0.8× 45 3.5k
Sew‐Yeu Peak‐Chew United Kingdom 34 4.3k 2.1× 358 0.5× 1.1k 1.6× 569 1.2× 150 0.3× 67 5.3k
Kathryn E. Howell United States 30 3.3k 1.6× 219 0.3× 2.2k 3.1× 421 0.9× 196 0.4× 52 4.7k
Matilda Katan United Kingdom 45 4.0k 2.0× 158 0.2× 1.5k 2.1× 467 1.0× 372 0.8× 102 5.8k
Sally Martin Australia 41 3.5k 1.7× 1.4k 1.8× 2.6k 3.6× 1.1k 2.3× 468 1.1× 69 5.5k
Anna Asplund Sweden 32 3.7k 1.8× 119 0.2× 346 0.5× 343 0.7× 500 1.1× 71 5.3k
Miho Iijima United States 38 4.5k 2.2× 178 0.2× 2.0k 2.9× 733 1.5× 888 2.0× 87 6.2k

Countries citing papers authored by Sarah Cohen

Since Specialization
Citations

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

Fields of papers citing papers by Sarah Cohen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sarah Cohen

This figure shows the co-authorship network connecting the top 25 collaborators of Sarah Cohen. A scholar is included among the top collaborators of Sarah Cohen 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 Sarah Cohen. Sarah Cohen 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.
Bhowmik, D., et al.. (2026). Organelle communication networks rewire to support lipid metabolism during neuronal differentiation. bioRxiv (Cold Spring Harbor Laboratory).
2.
Rhoads, Shannon N., R. Yarlagadda, Michael Ye, et al.. (2025). Neurons and astrocytes have distinct organelle signatures and responses to stress. Cell Reports. 44(9). 116280–116280. 2 indexed citations
3.
Lee, Sangderk, Nicholas A. Devanney, Sarah Cohen, et al.. (2025). APOE4 reshapes the lipid droplet proteome and modulates microglial inflammatory responses. Neurobiology of Disease. 212. 106983–106983. 3 indexed citations
4.
Pellegrino, Kyle, Yijia Wu, Ivana Yoseli Quiroga, et al.. (2025). ALS-associated TDP-43 aggregates drive innate and adaptive immune cell activation. iScience. 28(6). 112648–112648. 1 indexed citations
5.
Nirschl, Jeffrey, et al.. (2024). Orientation-invariant autoencoders learn robust representations for shape profiling of cells and organelles. Nature Communications. 15(1). 1022–1022. 9 indexed citations
6.
Cohen, Sarah, et al.. (2024). Imaging interorganelle contacts at a glance. Journal of Cell Science. 137(20). 3 indexed citations
7.
Cohen, Sarah, et al.. (2024). Contact-FP: A Dimerization-Dependent Fluorescent Protein Toolkit for Visualizing Membrane Contact Site Dynamics. SHILAP Revista de lepidopterología. 7. 9 indexed citations
8.
Veldtman, Gruschen, Sarah Cohen, Liming Guo, et al.. (2024). Fontan circulation and systemic disease – a retrospective cohort analysis over 35 years of follow-up. American Heart Journal. 279. 40–49. 1 indexed citations
9.
Edwards, W. Daniel, Todd M. Greco, Natalie K. Barker, et al.. (2023). Quantitative proteomic profiling identifies global protein network dynamics in murine embryonic heart development. Developmental Cell. 58(12). 1087–1105.e4. 8 indexed citations
10.
Edwards, W. Daniel, Michael V. Airola, Laura E. Herring, et al.. (2023). PLIN5 interacts with FATP4 at membrane contact sites to promote lipid droplet-to-mitochondria fatty acid transport. Developmental Cell. 58(14). 1250–1265.e6. 67 indexed citations
11.
White, Kristen, Natalie K. Barker, Sarah Cohen, et al.. (2023). Tandem detergent-extraction and immunoprecipitation of proteinopathy: Scalable enrichment of ALS-associated TDP-43 aggregates. iScience. 26(5). 106645–106645. 4 indexed citations
12.
Joshi, Amit, et al.. (2021). Multiple C2 domain–containing transmembrane proteins promote lipid droplet biogenesis and growth at specialized endoplasmic reticulum subdomains. Molecular Biology of the Cell. 32(12). 1147–1157. 25 indexed citations
13.
Arribat, Yoan, et al.. (2020). Spastin mutations impair coordination between lipid droplet dispersion and reticulum. PLoS Genetics. 16(4). e1008665–e1008665. 26 indexed citations
14.
Cohen, Sarah, et al.. (2020). Scimitar syndrome with bicuspid aortic valve. A case report of cross-sectional non- invasive imaging allowing a complete anatomical and functional assessment. Annales de Cardiologie et d Angéiologie. 69(5). 317–322. 1 indexed citations
15.
Liu, Jianfei, Tao Liu, Aman George, et al.. (2019). Longitudinal adaptive optics fluorescence microscopy reveals cellular mosaicism in patients. JCI Insight. 4(6). 22 indexed citations
16.
Joshi, Amit & Sarah Cohen. (2019). Lipid Droplet and Peroxisome Biogenesis: Do They Go Hand-in-Hand?. Frontiers in Cell and Developmental Biology. 7. 92–92. 25 indexed citations
17.
Stefan, Christopher J., William S. Trimble, Sergio Grinstein, et al.. (2017). Membrane dynamics and organelle biogenesis—lipid pipelines and vesicular carriers. BMC Biology. 15(1). 102–102. 65 indexed citations
18.
Escudié, Jean-Baptiste, Anne‐Sophie Jannot, Éric Zapletal, et al.. (2015). Reviewing 741 patients records in two hours with FASTVISU.. PubMed. 2015. 553–9. 11 indexed citations
19.
Cohen, Sarah, et al.. (2012). Effect of Viral Infection on the Nuclear Envelope and Nuclear Pore Complex. International review of cell and molecular biology. 299. 117–159. 25 indexed citations
20.
Cohen, Sarah, et al.. (2010). How viruses access the nucleus. Biochimica et Biophysica Acta (BBA) - Molecular Cell Research. 1813(9). 1634–1645. 111 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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