Priyanka Narayan

2.4k total citations · 2 hit papers
35 papers, 1.4k citations indexed

About

Priyanka Narayan is a scholar working on Molecular Biology, Physiology and Oncology. According to data from OpenAlex, Priyanka Narayan has authored 35 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Molecular Biology, 14 papers in Physiology and 8 papers in Oncology. Recurrent topics in Priyanka Narayan's work include Alzheimer's disease research and treatments (13 papers), BRCA gene mutations in cancer (4 papers) and Computational Drug Discovery Methods (4 papers). Priyanka Narayan is often cited by papers focused on Alzheimer's disease research and treatments (13 papers), BRCA gene mutations in cancer (4 papers) and Computational Drug Discovery Methods (4 papers). Priyanka Narayan collaborates with scholars based in United States, United Kingdom and Australia. Priyanka Narayan's co-authors include David Klenerman, Christopher M. Dobson, Mark R. Wilson, Susan Lindquist, Sarah Meehan, Kristina A. Ganzinger, Linda Yang, Peter St George‐Hyslop, Zachary M. March and Richard W. Clarke and has published in prestigious journals such as Cell, Proceedings of the National Academy of Sciences and Journal of the American Chemical Society.

In The Last Decade

Priyanka Narayan

34 papers receiving 1.4k citations

Hit Papers

APOE4 disrupts intracellular lipid homeostasis in human i... 2021 2026 2022 2024 2021 2023 50 100 150

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Priyanka Narayan United States 17 744 691 206 169 166 35 1.4k
Lisa M. Jungbauer United States 12 852 1.1× 580 0.8× 230 1.1× 233 1.4× 84 0.5× 18 1.3k
Kristin R. Wildsmith United States 19 842 1.1× 623 0.9× 276 1.3× 188 1.1× 96 0.6× 42 1.6k
Erik C. B. Johnson United States 21 554 0.7× 1.3k 1.8× 150 0.7× 147 0.9× 161 1.0× 43 1.9k
Chuanzhou Li China 16 724 1.0× 738 1.1× 270 1.3× 261 1.5× 64 0.4× 31 1.6k
Lisa Marie Munter Germany 19 974 1.3× 775 1.1× 119 0.6× 197 1.2× 156 0.9× 42 1.6k
Cristina D’Arrigo Italy 19 510 0.7× 652 0.9× 151 0.7× 104 0.6× 112 0.7× 42 1.1k
Bertrand P. Tseng United States 12 826 1.1× 603 0.9× 137 0.7× 225 1.3× 63 0.4× 15 1.3k
Kenneth W. Adams United States 10 875 1.2× 537 0.8× 237 1.2× 350 2.1× 67 0.4× 14 1.3k
Elizabeth Brigham United States 14 1.1k 1.4× 652 0.9× 351 1.7× 240 1.4× 131 0.8× 22 1.6k

Countries citing papers authored by Priyanka Narayan

Since Specialization
Citations

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

Fields of papers citing papers by Priyanka Narayan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Priyanka Narayan

This figure shows the co-authorship network connecting the top 25 collaborators of Priyanka Narayan. A scholar is included among the top collaborators of Priyanka Narayan 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 Priyanka Narayan. Priyanka Narayan 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.
Johnson, Kory R., Adrian Lita, Alexandra Beilina, et al.. (2025). Triglyceride metabolism controls inflammation and microglial phenotypes associated with APOE4. Cell Reports. 44(7). 115961–115961. 3 indexed citations
2.
Chen, Xiaowei, Anthony S. Don, Maria Fedorova, et al.. (2025). Time for lipid cell biology. Nature Cell Biology. 27(2). 169–174. 1 indexed citations
3.
Narayan, Priyanka, et al.. (2025). Monoclonal Antibodies for Pediatric Viral Disease Prevention and Treatment. PEDIATRICS. 155(5).
4.
Screven, Laurel A., Caroline B. Pantazis, Dan Vitale, et al.. (2024). Harnessing diversity to study Alzheimer’s disease: A new iPSC resource from the NIH CARD and ADNI. Neuron. 112(5). 694–697. 1 indexed citations
5.
Narayan, Priyanka, et al.. (2024). Spinal neural tube formation and tail development in human embryos. eLife. 12. 2 indexed citations
6.
Narayan, Priyanka, Zhigang Zhang, Boris Mueller, et al.. (2023). Metaplastic carcinoma of the breast: matched cohort analysis of recurrence and survival. Breast Cancer Research and Treatment. 199(2). 355–361. 5 indexed citations
7.
Yang, Linda, et al.. (2023). Apolipoprotein E in lipid metabolism and neurodegenerative disease. Trends in Endocrinology and Metabolism. 34(8). 430–445. 98 indexed citations breakdown →
8.
Narayan, Priyanka, Muhammad Danyal Ahsan, Emily Webster, et al.. (2023). Partner and localizer of BRCA2 (PALB2) pathogenic variants and ovarian cancer: A systematic review and meta-analysis.. Gynecologic Oncology. 177. 72–85. 4 indexed citations
9.
Reilly, Luke, E. C. Lara, Daniel M. Ramos, et al.. (2023). A fully automated FAIMS-DIA mass spectrometry-based proteomic pipeline. Cell Reports Methods. 3(10). 100593–100593. 19 indexed citations
10.
Ahsan, Muhammad Danyal, Emily Webster, Jenny Lin, et al.. (2023). Do people with hereditary cancer syndromes inform their at-risk relatives? A systematic review and meta-analysis. SHILAP Revista de lepidopterología. 2. 100138–100138. 19 indexed citations
11.
Rubinstein, Maria M., Priyanka Narayan, Qin Zhou, et al.. (2021). Bevacizumab in advanced endometrial cancer. Gynecologic Oncology. 161(3). 720–726. 12 indexed citations
12.
Sienski, Grzegorz, Priyanka Narayan, Julia Maeve Bonner, et al.. (2021). APOE4 disrupts intracellular lipid homeostasis in human iPSC-derived glia. Science Translational Medicine. 13(583). 197 indexed citations breakdown →
13.
Narayan, Priyanka, Jessica Flynn, Zhigang Zhang, et al.. (2021). Perineural invasion as a risk factor for locoregional recurrence of invasive breast cancer. Scientific Reports. 11(1). 12781–12781. 28 indexed citations
14.
Kayatekin, Can, Giorgio Gaglia, Jason Flannick, et al.. (2018). Translocon Declogger Ste24 Protects against IAPP Oligomer-Induced Proteotoxicity. Cell. 173(1). 62–73.e9. 41 indexed citations
15.
Whitcomb, Daniel J., Philip Regan, Thomas M. Piers, et al.. (2015). Intracellular oligomeric amyloid-beta rapidly regulates GluA1 subunit of AMPA receptor in the hippocampus. Scientific Reports. 5(1). 10934–10934. 90 indexed citations
16.
Narayan, Priyanka, Sepehr Ehsani, & Susan Lindquist. (2014). Combating neurodegenerative disease with chemical probes and model systems. Nature Chemical Biology. 10(11). 911–920. 36 indexed citations
17.
Ganzinger, Kristina A., Priyanka Narayan, Seema Qamar, et al.. (2014). Single‐Molecule Imaging Reveals that Small Amyloid‐β1–42 Oligomers Interact with the Cellular Prion Protein (PrPC). ChemBioChem. 15(17). 2515–2521. 42 indexed citations
18.
Narayan, Priyanka, et al.. (2013). Single Molecule Fluorescence Studies of Amyloid Beta 1-42 Aggregation. Biophysical Journal. 104(2). 359a–360a. 1 indexed citations
19.
Narayan, Priyanka, Kristina A. Ganzinger, James McColl, et al.. (2012). Investigating the Interaction Between Characterized Amyloid-Beta Oligomers and the Prion Protein Receptor in Live Cells. Biophysical Journal. 102(3). 243a–243a. 3 indexed citations
20.
Narayan, Priyanka, Ángel Orte, Richard W. Clarke, et al.. (2011). The extracellular chaperone clusterin sequesters oligomeric forms of the amyloid-β1−40 peptide. Nature Structural & Molecular Biology. 19(1). 79–83. 233 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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