Jennifer Kaufling
- Cellular and Molecular Neuroscience top 2%
- Cognitive Neuroscience top 5%
- Molecular Biology
- Endocrine and Autonomic Systems top 5%
- Physiology
- Co-authors
- Michel BarrotPierre VeinanteMarie‐José Freund‐MercierSophie Anne PawlowskiGary Aston‐JonesFrançois GeorgesMaría José Sánchez-CatalánSteven P. Wilson
- Topics
- Neurotransmitter Receptor Influence on Behavior (13 papers)Neuroscience and Neuropharmacology Research (9 papers)Receptor Mechanisms and Signaling (5 papers)
- Partner nations
- FranceUnited StatesSwitzerland
In The Last Decade
Jennifer Kaufling
15 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 65
- Cellular and Molecular Neuroscience 841
- Cognitive Neuroscience 423
- Molecular Biology 357
- Endocrine and Autonomic Systems 142
- Physiology 124
Countries citing papers authored by Jennifer Kaufling
This map shows the geographic impact of Jennifer Kaufling'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 Kaufling with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jennifer Kaufling more than expected).
Fields of papers citing papers by Jennifer Kaufling
This network shows the impact of papers produced by Jennifer Kaufling. 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 Kaufling. The network helps show where Jennifer Kaufling may publish in the future.
Co-authorship network of co-authors of Jennifer Kaufling
This figure shows the co-authorship network connecting the top 25 collaborators of Jennifer Kaufling. A scholar is included among the top collaborators of Jennifer Kaufling 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 Kaufling. Jennifer Kaufling is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 45 | |
| 2 | 40 | |
| 3 | 16 | |
| 4 | 33 | |
| 5 | 1 | |
| 6 | 70 | |
| 7 | 260 | |
| 8 | 26 | |
| 9 | 89 | |
| 10 | 89 | |
| 11 | 33 | |
| 12 | 23 | |
| 13 | 49 | |
| 14 | 56 | |
| 15 | 262 |
About Jennifer Kaufling
Jennifer Kaufling is a scholar working on Cellular and Molecular Neuroscience, Endocrine and Autonomic Systems and Toxicology, having authored 15 papers that have together received 1.1k indexed citations. Recurring topics across this work include Neurotransmitter Receptor Influence on Behavior (13 papers), Neuroscience and Neuropharmacology Research (9 papers) and Receptor Mechanisms and Signaling (5 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (841 citations), Behavioral Neuroscience (94 citations) and Cognitive Neuroscience (423 citations). Jennifer Kaufling has collaborated with scholars based in France, United States and Switzerland. Frequent co-authors include Michel Barrot, Pierre Veinante, Marie‐José Freund‐Mercier, Sophie Anne Pawlowski, Gary Aston‐Jones, François Georges, María José Sánchez-Catalán, Steven P. Wilson, Karl Deisseroth and John J. Woodward. Their work appears in journals such as Journal of Neuroscience, Nature Neuroscience and The Journal of Comparative Neurology.
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.