Priyanka Narayan
Impact in
- Physiology top 2%
- Alzheimer's disease research and treatments
- Neurology top 5%
- Neuroinflammation and Neurodegeneration Mechanisms
Papers in
-
- Congenital heart defects research 3
- S100 Proteins and Annexins 3
- Physiology 14
- Alzheimer's disease research and treatments 13
- Co-authors
- David Klenerman (10 shared papers)Christopher M. Dobson (7 shared papers)Susan Lindquist (5 shared papers)Mark R. Wilson (5 shared papers)Sarah Meehan (4 shared papers)Kristina A. Ganzinger (5 shared papers)Linda Yang (2 shared papers)Zachary M. March (1 shared paper)
- Journals
- Gynecologic Oncology (3 papers)Scientific Reports (3 papers)Cell Reports (2 papers)Biochemistry (2 papers)Biophysical Journal (2 papers)
- Partner nations
- United StatesUnited KingdomAustralia
In The Last Decade
Priyanka Narayan
34 papers receiving 1.4k citations
Priyanka Narayan's Hit Papers
Peers
Comparison fields: 5 of 90
- Physiology 708
- Neurology 195
- Biological Psychiatry 49
- Aging 19
- Molecular Biology 666
Countries citing papers authored by Priyanka Narayan
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
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-authors
The 25 scholars most cited alongside Priyanka Narayan, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 35 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2011 | 234 | |
| 2 | APOE4 disrupts intracellular lipid homeostasis in human iPSC-derived glia Hit paper breakdown → | 2021 | 214 |
| 3 | 2014 | 143 | |
| 4 | Apolipoprotein E in lipid metabolism and neurodegenerative disease Hit paper breakdown → | 2023 | 129 |
| 5 | 2015 | 91 | |
| 6 | 2014 | 81 | |
| 7 | 2013 | 74 | |
| 8 | 2012 | 71 | |
| 9 | 2020 | 57 | |
| 10 | 2016 | 56 | |
| 11 | 2014 | 42 | |
| 12 | 2018 | 42 | |
| 13 | 2014 | 36 | |
| 14 | 2021 | 31 | |
| 15 | 2016 | 24 | |
| 16 | 2023 | 22 | |
| 17 | 2023 | 21 | |
| 18 | 2008 | 14 | |
| 19 | 2021 | 12 | |
| 20 | 2022 | 7 |
About Priyanka Narayan
Priyanka Narayan is a scholar working on Molecular Biology, Physiology, Oncology, Genetics and Computational Theory and Mathematics, having authored 35 papers that have together received 1.4k indexed citations. Recurring topics across this work include Alzheimer's disease research and treatments (13 papers), BRCA gene mutations in cancer (4 papers), Computational Drug Discovery Methods (4 papers), Clusterin in disease pathology (4 papers), Congenital heart defects research (3 papers), S100 Proteins and Annexins (3 papers), Breast Cancer Treatment Studies (2 papers) and Cholesterol and Lipid Metabolism (2 papers). The work is most often cited by research in Physiology (708 citations), Neurology (195 citations), Biological Psychiatry (49 citations), Aging (19 citations) and Molecular Biology (666 citations). Priyanka Narayan has collaborated with scholars based in United States, United Kingdom and Australia. Frequent co-authors include David Klenerman, Christopher M. Dobson, Susan Lindquist, Mark R. Wilson, Sarah Meehan, Kristina A. Ganzinger, Linda Yang, Zachary M. March, Peter St George‐Hyslop and Benedetta Bolognesi. Their work appears in journals such as Gynecologic Oncology, Scientific Reports, Cell Reports, Biochemistry and Biophysical Journal.
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.