Jennifer A. Evans
- Endocrine and Autonomic Systems top 0.5%
- Physiology top 5%
- Cellular and Molecular Neuroscience top 5%
- Cognitive Neuroscience top 5%
- Experimental and Cognitive Psychology top 10%
- Co-authors
- Alec J. DavidsonMichael R. GormanJeffrey A. ElliottOscar Castañón‐CervantesTanya LeiseAbdelhalim AzziMichael MenakerGene D. Block
- Topics
- Circadian rhythm and melatonin (41 papers)Photoreceptor and optogenetics research (14 papers)Dietary Effects on Health (10 papers)
- Partner nations
- United StatesAustraliaArgentina
In The Last Decade
Jennifer A. Evans
44 papers receiving 1.4k citations
Peers
Comparison fields: 5 of 98
- Endocrine and Autonomic Systems 1.1k
- Physiology 500
- Cellular and Molecular Neuroscience 441
- Cognitive Neuroscience 277
- Experimental and Cognitive Psychology 138
Countries citing papers authored by Jennifer A. Evans
This map shows the geographic impact of Jennifer A. Evans'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 A. Evans with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jennifer A. Evans more than expected).
Fields of papers citing papers by Jennifer A. Evans
This network shows the impact of papers produced by Jennifer A. Evans. 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 A. Evans. The network helps show where Jennifer A. Evans may publish in the future.
Co-authorship network of co-authors of Jennifer A. Evans
This figure shows the co-authorship network connecting the top 25 collaborators of Jennifer A. Evans. A scholar is included among the top collaborators of Jennifer A. Evans 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 A. Evans. Jennifer A. Evans is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 11 | |
| 3 | 6 | |
| 4 | 4 | |
| 5 | 37 | |
| 6 | 19 | |
| 7 | 9 | |
| 8 | 25 | |
| 9 | 53 | |
| 10 | 14 | |
| 11 | 65 | |
| 12 | 51 | |
| 13 | 116 | |
| 14 | 15 | |
| 15 | 12 | |
| 16 | 9 | |
| 17 | 11 | |
| 18 | 33 | |
| 19 | 9 | |
| 20 | 53 |
About Jennifer A. Evans
Jennifer A. Evans is a scholar working on Endocrine and Autonomic Systems, Aging and Cellular and Molecular Neuroscience, having authored 46 papers that have together received 1.4k indexed citations. Recurring topics across this work include Circadian rhythm and melatonin (41 papers), Photoreceptor and optogenetics research (14 papers) and Dietary Effects on Health (10 papers). The work is most often cited by research in Endocrine and Autonomic Systems (1.1k citations), Aging (125 citations) and Cellular and Molecular Neuroscience (441 citations). Jennifer A. Evans has collaborated with scholars based in United States, Australia and Argentina. Frequent co-authors include Alec J. Davidson, Michael R. Gorman, Jeffrey A. Elliott, Oscar Castañón‐Cervantes, Tanya Leise, Abdelhalim Azzi, Michael Menaker, Gene D. Block, Michael T. Sellix and DiJon Hill. Their work appears in journals such as Proceedings of the National Academy of Sciences, Nature Communications and Neuron.
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.