Natasha T. Snider
- Molecular Biology top 10%
- Pharmacology top 2%
- Cell Biology top 5%
- Cellular and Molecular Neuroscience top 10%
- Pathology and Forensic Medicine top 10%
- Co-authors
- M. Bishr OmaryPaul F. HollenbergH. DavsonLaszlo Z. BitoKarel P. AlcedoЕ. LevinMarvin MurrayRachel A. Battaglia
- Topics
- Skin and Cellular Biology Research (11 papers)Alcohol Consumption and Health Effects (10 papers)Cannabis and Cannabinoid Research (9 papers)
- Cited by
- PhysiologyPharmacologyCell Biology
- Journals
- Journal of Biological ChemistryNature Reviews Molecular Cell BiologyThe Journal of Cell Biology
- Partner nations
- United StatesJapanGermany
In The Last Decade
Natasha T. Snider
49 papers receiving 2.0k citations
Hit Papers
Peers
Comparison fields: 5 of 113
- Molecular Biology 825
- Pharmacology 475
- Cell Biology 455
- Cellular and Molecular Neuroscience 228
- Pathology and Forensic Medicine 214
Countries citing papers authored by Natasha T. Snider
This map shows the geographic impact of Natasha T. Snider'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 Natasha T. Snider with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Natasha T. Snider more than expected).
Fields of papers citing papers by Natasha T. Snider
This network shows the impact of papers produced by Natasha T. Snider. 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 Natasha T. Snider. The network helps show where Natasha T. Snider may publish in the future.
Co-authorship network of co-authors of Natasha T. Snider
This figure shows the co-authorship network connecting the top 25 collaborators of Natasha T. Snider. A scholar is included among the top collaborators of Natasha T. Snider 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 Natasha T. Snider. Natasha T. Snider is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 6 | |
| 2 | 6 | |
| 3 | 14 | |
| 4 | 50 | |
| 5 | 20 | |
| 6 | 44 | |
| 7 | Post-translational modifications of intermediate filament proteins: mechanisms and functionsbreakdown → | 388 |
| 8 | 20 | |
| 9 | 20 | |
| 10 | 44 | |
| 11 | 82 | |
| 12 | 95 | |
| 13 | 61 | |
| 14 | 26 | |
| 15 | 13 | |
| 16 | Oxidation of the Endogenous Cannabinoid Arachidonoyl Ethanolamide (Anandamide) by Cytochrome P450 Enzymes | 1 |
| 17 | 73 | |
| 18 | 79 | |
| 19 | 87 | |
| 20 | 143 |
About Natasha T. Snider
Natasha T. Snider is a scholar working on Physiology, Aging and Cell Biology, having authored 50 papers that have together received 2.1k indexed citations. Recurring topics across this work include Skin and Cellular Biology Research (11 papers), Alcohol Consumption and Health Effects (10 papers) and Cannabis and Cannabinoid Research (9 papers). The work is most often cited by research in Physiology (154 citations), Pharmacology (475 citations) and Cell Biology (455 citations). Natasha T. Snider has collaborated with scholars based in United States, Japan and Germany. Frequent co-authors include M. Bishr Omary, Paul F. Hollenberg, H. Davson, Laszlo Z. Bito, Karel P. Alcedo, Е. Levin, Marvin Murray, Rachel A. Battaglia, Cheryl E. Rockwell and John P. Vanden Heuvel. Their work appears in journals such as Journal of Biological Chemistry, Nature Reviews Molecular Cell Biology and The Journal of Cell Biology.
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.