Jennifer M. Johnston
- Molecular Biology top 10%
- Cellular and Molecular Neuroscience top 5%
- Clinical Psychology top 5%
- Radiology, Nuclear Medicine and Imaging top 10%
- Oncology
- Co-authors
- Marta FilizolaDavide ProvasiCorey StricklandMark A. McCoyGiovanna ScapinXiaoyu YangPaul ReichertRamesh S. Kashi
- Topics
- Receptor Mechanisms and Signaling (12 papers)Lipid Membrane Structure and Behavior (9 papers)Neuropeptides and Animal Physiology (9 papers)
- Partner nations
- United StatesUnited KingdomMexico
In The Last Decade
Jennifer M. Johnston
28 papers receiving 1.3k citations
Peers
Comparison fields: 5 of 131
- Molecular Biology 731
- Cellular and Molecular Neuroscience 276
- Clinical Psychology 274
- Radiology, Nuclear Medicine and Imaging 169
- Oncology 114
Countries citing papers authored by Jennifer M. Johnston
This map shows the geographic impact of Jennifer M. 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 M. 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 M. Johnston more than expected).
Fields of papers citing papers by Jennifer M. Johnston
This network shows the impact of papers produced by Jennifer M. 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 M. Johnston. The network helps show where Jennifer M. Johnston may publish in the future.
Co-authorship network of co-authors of Jennifer M. Johnston
This figure shows the co-authorship network connecting the top 25 collaborators of Jennifer M. Johnston. A scholar is included among the top collaborators of Jennifer M. 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 M. Johnston. Jennifer M. 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 | 10 | |
| 2 | 16 | |
| 3 | 17 | |
| 4 | 11 | |
| 5 | 139 | |
| 6 | 49 | |
| 7 | 54 | |
| 8 | 27 | |
| 9 | 4 | |
| 10 | 20 | |
| 11 | 32 | |
| 12 | 91 | |
| 13 | 16 | |
| 14 | 1 | |
| 15 | 85 | |
| 16 | 63 | |
| 17 | 73 | |
| 18 | 64 | |
| 19 | 18 | |
| 20 | 15 |
About Jennifer M. Johnston
Jennifer M. Johnston is a scholar working on Cellular and Molecular Neuroscience, Biological Psychiatry and Clinical Psychology, having authored 28 papers that have together received 1.3k indexed citations. Recurring topics across this work include Receptor Mechanisms and Signaling (12 papers), Lipid Membrane Structure and Behavior (9 papers) and Neuropeptides and Animal Physiology (9 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (276 citations), Biological Psychiatry (34 citations) and Clinical Psychology (274 citations). Jennifer M. Johnston has collaborated with scholars based in United States, United Kingdom and Mexico. Frequent co-authors include Marta Filizola, Davide Provasi, Corey Strickland, Mark A. McCoy, Giovanna Scapin, Xiaoyu Yang, Paul Reichert, Ramesh S. Kashi, W.W. Prosise and Hao Wang. Their work appears in journals such as Nature Communications, PLoS ONE and Biochemistry.
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.