Daniel S. Zahm
- Cellular and Molecular Neuroscience top 0.05%
- Cognitive Neuroscience top 0.5%
- Molecular Biology top 2%
- Neurology top 0.5%
- Endocrine and Autonomic Systems top 0.5%
- Co-authors
- Lennart HeimerJudith S. BrogStefanie GeislerPeter W. KalivasAriel Y. DeutchChristopher WohltmannL. ChurchillRüdiger W. Veh
- Topics
- Neuroscience and Neuropharmacology Research (56 papers)Neurotransmitter Receptor Influence on Behavior (56 papers)Memory and Neural Mechanisms (28 papers)
- Partner nations
- United StatesSpainUnited Kingdom
In The Last Decade
Daniel S. Zahm
108 papers receiving 10.4k citations
Hit Papers
Peers
Comparison fields: 5 of 120
- Cellular and Molecular Neuroscience 8.3k
- Cognitive Neuroscience 3.8k
- Molecular Biology 3.4k
- Neurology 1.3k
- Endocrine and Autonomic Systems 1.1k
Countries citing papers authored by Daniel S. Zahm
This map shows the geographic impact of Daniel S. Zahm'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 Daniel S. Zahm with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel S. Zahm more than expected).
Fields of papers citing papers by Daniel S. Zahm
This network shows the impact of papers produced by Daniel S. Zahm. 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 Daniel S. Zahm. The network helps show where Daniel S. Zahm may publish in the future.
Co-authorship network of co-authors of Daniel S. Zahm
This figure shows the co-authorship network connecting the top 25 collaborators of Daniel S. Zahm. A scholar is included among the top collaborators of Daniel S. Zahm 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 Daniel S. Zahm. Daniel S. Zahm is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 16 | |
| 2 | 11 | |
| 3 | 25 | |
| 4 | 40 | |
| 5 | 66 | |
| 6 | 50 | |
| 7 | 61 | |
| 8 | 44 | |
| 9 | 57 | |
| 10 | Neurons of origin of the neurotensinergic plexus enmeshing the ventral tegmental area and substantia nigra pars compacta in rat Retrograde labeling and in situ hybridization combined | 3 |
| 11 | 92 | |
| 12 | 120 | |
| 13 | 27 | |
| 14 | 14 | |
| 15 | 131 | |
| 16 | 8 | |
| 17 | 27 | |
| 18 | 182 | |
| 19 | 180 | |
| 20 | 51 |
About Daniel S. Zahm
Daniel S. Zahm is a scholar working on Cellular and Molecular Neuroscience, Developmental Neuroscience and Cognitive Neuroscience, having authored 108 papers that have together received 10.6k indexed citations. Recurring topics across this work include Neuroscience and Neuropharmacology Research (56 papers), Neurotransmitter Receptor Influence on Behavior (56 papers) and Memory and Neural Mechanisms (28 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (8.3k citations), Cognitive Neuroscience (3.8k citations) and Endocrine and Autonomic Systems (1.1k citations). Daniel S. Zahm has collaborated with scholars based in United States, Spain and United Kingdom. Frequent co-authors include Lennart Heimer, Judith S. Brog, Stefanie Geisler, Peter W. Kalivas, Ariel Y. Deutch, Christopher Wohltmann, L. Churchill, Rüdiger W. Veh, Christian Derst and George F. Alheid. Their work appears in journals such as Journal of Biological Chemistry, 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.