Nathan J. Marchant
- Cellular and Molecular Neuroscience top 0.5%
- Cognitive Neuroscience top 1%
- Molecular Biology top 10%
- Social Psychology top 2%
- Endocrine and Autonomic Systems top 2%
- Co-authors
- Yavin ShahamJennifer M. BossertErin J. CampbellGavan P. McNallyDonna J. CaluXuan LiKonstantin KaganovskyE. Zayra Millan
- Topics
- Neurotransmitter Receptor Influence on Behavior (24 papers)Memory and Neural Mechanisms (23 papers)Neuroscience and Neuropharmacology Research (15 papers)
- Partner nations
- United StatesAustraliaNetherlands
In The Last Decade
Nathan J. Marchant
40 papers receiving 2.7k citations
Peers
Comparison fields: 5 of 90
- Cellular and Molecular Neuroscience 2.1k
- Cognitive Neuroscience 1.4k
- Molecular Biology 736
- Social Psychology 461
- Endocrine and Autonomic Systems 335
Countries citing papers authored by Nathan J. Marchant
This map shows the geographic impact of Nathan J. Marchant'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 Nathan J. Marchant with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nathan J. Marchant more than expected).
Fields of papers citing papers by Nathan J. Marchant
This network shows the impact of papers produced by Nathan J. Marchant. 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 Nathan J. Marchant. The network helps show where Nathan J. Marchant may publish in the future.
Co-authorship network of co-authors of Nathan J. Marchant
This figure shows the co-authorship network connecting the top 25 collaborators of Nathan J. Marchant. A scholar is included among the top collaborators of Nathan J. Marchant 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 Nathan J. Marchant. Nathan J. Marchant 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 | 1 | |
| 3 | 18 | |
| 4 | 3 | |
| 5 | 55 | |
| 6 | 54 | |
| 7 | 17 | |
| 8 | 44 | |
| 9 | 90 | |
| 10 | 90 | |
| 11 | 30 | |
| 12 | 51 | |
| 13 | 69 | |
| 14 | 103 | |
| 15 | 60 | |
| 16 | 18 | |
| 17 | 106 | |
| 18 | 96 | |
| 19 | 92 | |
| 20 | 105 |
About Nathan J. Marchant
Nathan J. Marchant is a scholar working on Cellular and Molecular Neuroscience, Cognitive Neuroscience and Endocrine and Autonomic Systems, having authored 41 papers that have together received 2.7k indexed citations. Recurring topics across this work include Neurotransmitter Receptor Influence on Behavior (24 papers), Memory and Neural Mechanisms (23 papers) and Neuroscience and Neuropharmacology Research (15 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (2.1k citations), Behavioral Neuroscience (282 citations) and Cognitive Neuroscience (1.4k citations). Nathan J. Marchant has collaborated with scholars based in United States, Australia and Netherlands. Frequent co-authors include Yavin Shaham, Jennifer M. Bossert, Erin J. Campbell, Gavan P. McNally, Donna J. Calu, Xuan Li, Konstantin Kaganovsky, E. Zayra Millan, Marisela Morales and Daniele Caprioli. Their work appears in journals such as Neuron, Journal of 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.