Kevin G. Bath
- Cellular and Molecular Neuroscience top 0.5%
- Behavioral Neuroscience top 0.1%
- Cognitive Neuroscience top 1%
- Developmental Neuroscience top 0.2%
- Social Psychology top 1%
- Co-authors
- Francis S. LeeDeqiang JingBruce S. McEwenBarbara L. HempsteadSiobhan S. PattwellMoses V. ChaoGabriela Manzano-NievesZhe-Yu Chen
- Topics
- Stress Responses and Cortisol (30 papers)Nerve injury and regeneration (22 papers)Neuroendocrine regulation and behavior (21 papers)
- Partner nations
- United StatesFranceChina
In The Last Decade
Kevin G. Bath
68 papers receiving 6.7k citations
Hit Papers
Peers
Comparison fields: 5 of 136
- Cellular and Molecular Neuroscience 2.8k
- Behavioral Neuroscience 2.1k
- Cognitive Neuroscience 1.7k
- Developmental Neuroscience 1.4k
- Social Psychology 1.3k
Countries citing papers authored by Kevin G. Bath
This map shows the geographic impact of Kevin G. Bath'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 Kevin G. Bath with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kevin G. Bath more than expected).
Fields of papers citing papers by Kevin G. Bath
This network shows the impact of papers produced by Kevin G. Bath. 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 Kevin G. Bath. The network helps show where Kevin G. Bath may publish in the future.
Co-authorship network of co-authors of Kevin G. Bath
This figure shows the co-authorship network connecting the top 25 collaborators of Kevin G. Bath. A scholar is included among the top collaborators of Kevin G. Bath 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 Kevin G. Bath. Kevin G. Bath is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 6 | |
| 3 | 4 | |
| 4 | 9 | |
| 5 | 16 | |
| 6 | 32 | |
| 7 | 57 | |
| 8 | 56 | |
| 9 | 203 | |
| 10 | 25 | |
| 11 | 196 | |
| 12 | 463 | |
| 13 | 111 | |
| 14 | 123 | |
| 15 | 117 | |
| 16 | 92 | |
| 17 | 132 | |
| 18 | Genetic Variant BDNF (Val66Met) Polymorphism Alters Anxiety-Related Behaviorbreakdown → | 1087 |
| 19 | 14 | |
| 20 | 17 |
About Kevin G. Bath
Kevin G. Bath is a scholar working on Behavioral Neuroscience, Developmental Neuroscience and Cellular and Molecular Neuroscience, having authored 69 papers that have together received 6.8k indexed citations. Recurring topics across this work include Stress Responses and Cortisol (30 papers), Nerve injury and regeneration (22 papers) and Neuroendocrine regulation and behavior (21 papers). The work is most often cited by research in Behavioral Neuroscience (2.1k citations), Developmental Neuroscience (1.4k citations) and Biological Psychiatry (746 citations). Kevin G. Bath has collaborated with scholars based in United States, France and China. Frequent co-authors include Francis S. Lee, Deqiang Jing, Bruce S. McEwen, Barbara L. Hempstead, Siobhan S. Pattwell, Moses V. Chao, Gabriela Manzano-Nieves, Zhe-Yu Chen, Ipe Ninan and Chia-Jen Siao. Their work appears in journals such as Science, Cell and Proceedings of the National Academy of Sciences.
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.