Sam A. Golden
- Cellular and Molecular Neuroscience top 0.5%
- Behavioral Neuroscience top 0.2%
- Biological Psychiatry top 0.2%
- Social Psychology top 1%
- Molecular Biology top 10%
- Co-authors
- Scott J. RussoHerbert E. CovingtonOlivier BertonYavin ShahamDaniel J. ChristoffelSunila G NairMitra HeshmatiGustavo Turecki
- Topics
- Neurotransmitter Receptor Influence on Behavior (20 papers)Neuroendocrine regulation and behavior (14 papers)Stress Responses and Cortisol (13 papers)
- Partner nations
- United StatesCanadaJapan
In The Last Decade
Sam A. Golden
53 papers receiving 4.5k citations
Hit Papers
Peers
Comparison fields: 5 of 127
- Cellular and Molecular Neuroscience 1.9k
- Behavioral Neuroscience 1.6k
- Biological Psychiatry 1.1k
- Social Psychology 1.1k
- Molecular Biology 1.1k
Countries citing papers authored by Sam A. Golden
This map shows the geographic impact of Sam A. Golden'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 Sam A. Golden with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sam A. Golden more than expected).
Fields of papers citing papers by Sam A. Golden
This network shows the impact of papers produced by Sam A. Golden. 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 Sam A. Golden. The network helps show where Sam A. Golden may publish in the future.
Co-authorship network of co-authors of Sam A. Golden
This figure shows the co-authorship network connecting the top 25 collaborators of Sam A. Golden. A scholar is included among the top collaborators of Sam A. Golden 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 Sam A. Golden. Sam A. Golden is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | Simple Behavioral Analysis (SimBA) as a platform for explainable machine learning in behavioral neurosciencebreakdown → | 62 |
| 2 | 4 | |
| 3 | 6 | |
| 4 | 1 | |
| 5 | 13 | |
| 6 | 19 | |
| 7 | 50 | |
| 8 | 242 | |
| 9 | 64 | |
| 10 | 248 | |
| 11 | 53 | |
| 12 | 17 | |
| 13 | 165 | |
| 14 | 80 | |
| 15 | 258 | |
| 16 | 101 | |
| 17 | 215 | |
| 18 | 6 | |
| 19 | 115 | |
| 20 | 21 |
About Sam A. Golden
Sam A. Golden is a scholar working on Behavioral Neuroscience, Biological Psychiatry and Cellular and Molecular Neuroscience, having authored 53 papers that have together received 4.5k indexed citations. Recurring topics across this work include Neurotransmitter Receptor Influence on Behavior (20 papers), Neuroendocrine regulation and behavior (14 papers) and Stress Responses and Cortisol (13 papers). The work is most often cited by research in Biological Psychiatry (1.1k citations), Behavioral Neuroscience (1.6k citations) and Cellular and Molecular Neuroscience (1.9k citations). Sam A. Golden has collaborated with scholars based in United States, Canada and Japan. Frequent co-authors include Scott J. Russo, Herbert E. Covington, Olivier Berton, Yavin Shaham, Daniel J. Christoffel, Sunila G Nair, Mitra Heshmati, Gustavo Turecki, Conor Heins and Marco Vènniro. Their work appears in journals such as Nature, Proceedings of the National Academy of Sciences and Nature Medicine.
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.