Jennifer Johnston
- Molecular Biology top 2%
- Cell Biology top 0.5%
- Epidemiology top 2%
- Neurology top 1%
- Physiology top 2%
- Co-authors
- Ron R. KopitoCristina L. WardBrigit E. RileyAtsushi IwataMark E. GurneyMalcolm KadodwalaNikolaj GadegaardSharon M. Kelly
- Topics
- Ubiquitin and proteasome pathways (7 papers)Bipolar Disorder and Treatment (6 papers)Suicide and Self-Harm Studies (4 papers)
- Cited by
- AgingCell BiologyNeurology
- Journals
- Proceedings of the National Academy of SciencesJournal of Biological ChemistryNature Communications
- Partner nations
- United StatesUnited KingdomAustralia
In The Last Decade
Jennifer Johnston
41 papers receiving 5.7k citations
Hit Papers
Peers
Comparison fields: 5 of 143
- Molecular Biology 2.7k
- Cell Biology 1.2k
- Epidemiology 1.0k
- Neurology 988
- Physiology 840
Countries citing papers authored by Jennifer Johnston
This map shows the geographic impact of Jennifer Johnston'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 Jennifer Johnston with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jennifer Johnston more than expected).
Fields of papers citing papers by Jennifer Johnston
This network shows the impact of papers produced by Jennifer Johnston. 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 Jennifer Johnston. The network helps show where Jennifer Johnston may publish in the future.
Co-authorship network of co-authors of Jennifer Johnston
This figure shows the co-authorship network connecting the top 25 collaborators of Jennifer Johnston. A scholar is included among the top collaborators of Jennifer Johnston 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 Jennifer Johnston. Jennifer Johnston is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 1 | |
| 3 | 28 | |
| 4 | 45 | |
| 5 | 62 | |
| 6 | 65 | |
| 7 | 83 | |
| 8 | 35 | |
| 9 | 5 | |
| 10 | 42 | |
| 11 | 20 | |
| 12 | 15 | |
| 13 | 100 | |
| 14 | HDAC6 and Microtubules Are Required for Autophagic Degradation of Aggregated Huntingtinbreakdown → | 587 |
| 15 | 21 | |
| 16 | 58 | |
| 17 | 170 | |
| 18 | 41 | |
| 19 | 101 | |
| 20 | 15 |
About Jennifer Johnston
Jennifer Johnston is a scholar working on Aging, Geriatrics and Gerontology and Cell Biology, having authored 41 papers that have together received 5.8k indexed citations. Recurring topics across this work include Ubiquitin and proteasome pathways (7 papers), Bipolar Disorder and Treatment (6 papers) and Suicide and Self-Harm Studies (4 papers). The work is most often cited by research in Aging (164 citations), Cell Biology (1.2k citations) and Neurology (988 citations). Jennifer Johnston has collaborated with scholars based in United States, United Kingdom and Australia. Frequent co-authors include Ron R. Kopito, Cristina L. Ward, Brigit E. Riley, Atsushi Iwata, Mark E. Gurney, Malcolm Kadodwala, Nikolaj Gadegaard, Sharon M. Kelly, Adrian J. Lapthorn and R. V. Mikhaylovskiy. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Nature Communications.
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.