Jennifer C. Naylor
- Behavioral Neuroscience top 1%
- Cellular and Molecular Neuroscience top 5%
- Clinical Psychology top 5%
- Social Psychology top 5%
- Pharmacology top 5%
- Co-authors
- Jason D. KiltsJennifer L. StraussRobert M. HamerChristine E. MarxHenry R. WagnerJeffrey A. LiebermanSusan KotowskiKermit G. Davis
- Topics
- Stress Responses and Cortisol (15 papers)Posttraumatic Stress Disorder Research (13 papers)Neuroscience and Neuropharmacology Research (9 papers)
- Journals
- SHILAP Revista de lepidopterologíaThe Journal of Clinical Endocrinology & MetabolismBiological Psychiatry
- Partner nations
- United StatesAustraliaDenmark
In The Last Decade
Jennifer C. Naylor
44 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 115
- Behavioral Neuroscience 331
- Cellular and Molecular Neuroscience 275
- Clinical Psychology 249
- Social Psychology 217
- Pharmacology 191
Countries citing papers authored by Jennifer C. Naylor
This map shows the geographic impact of Jennifer C. Naylor'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 C. Naylor with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jennifer C. Naylor more than expected).
Fields of papers citing papers by Jennifer C. Naylor
This network shows the impact of papers produced by Jennifer C. Naylor. 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 C. Naylor. The network helps show where Jennifer C. Naylor may publish in the future.
Co-authorship network of co-authors of Jennifer C. Naylor
This figure shows the co-authorship network connecting the top 25 collaborators of Jennifer C. Naylor. A scholar is included among the top collaborators of Jennifer C. Naylor 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 C. Naylor. Jennifer C. Naylor is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 3 | |
| 2 | 1 | |
| 3 | 1 | |
| 4 | 1 | |
| 5 | 1 | |
| 6 | 8 | |
| 7 | 101 | |
| 8 | 6 | |
| 9 | 2 | |
| 10 | 23 | |
| 11 | 31 | |
| 12 | 45 | |
| 13 | 14 | |
| 14 | 27 | |
| 15 | 5 | |
| 16 | 16 | |
| 17 | 11 | |
| 18 | 14 | |
| 19 | 160 | |
| 20 | 5 |
About Jennifer C. Naylor
Jennifer C. Naylor is a scholar working on Behavioral Neuroscience, Developmental Neuroscience and Biological Psychiatry, having authored 44 papers that have together received 1.2k indexed citations. Recurring topics across this work include Stress Responses and Cortisol (15 papers), Posttraumatic Stress Disorder Research (13 papers) and Neuroscience and Neuropharmacology Research (9 papers). The work is most often cited by research in Behavioral Neuroscience (331 citations), Biological Psychiatry (135 citations) and Developmental Neuroscience (86 citations). Jennifer C. Naylor has collaborated with scholars based in United States, Australia and Denmark. Frequent co-authors include Jason D. Kilts, Jennifer L. Strauss, Robert M. Hamer, Christine E. Marx, Henry R. Wagner, Jeffrey A. Lieberman, Susan Kotowski, Kermit G. Davis, T.J. Gerding and D. Daniel. Their work appears in journals such as SHILAP Revista de lepidopterología, The Journal of Clinical Endocrinology & Metabolism and Biological Psychiatry.
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.