Katherine Graubard
- Cellular and Molecular Neuroscience top 2%
- Cognitive Neuroscience top 5%
- Ecology top 10%
- Molecular Biology
- Ecology, Evolution, Behavior and Systematics top 10%
- Co-authors
- Daniel K. HartlineJonathan A. RaperNathaniel L. ScholzJames W. TrumanDavid H. BaldwinWilliam N. RossAndrew E. ChristieJohn N. Barrett
- Topics
- Neurobiology and Insect Physiology Research (21 papers)Neural dynamics and brain function (10 papers)Physiological and biochemical adaptations (7 papers)
- Partner nations
- United StatesNetherlandsGermany
In The Last Decade
Katherine Graubard
27 papers receiving 1.0k citations
Peers
Comparison fields: 5 of 79
- Cellular and Molecular Neuroscience 877
- Cognitive Neuroscience 330
- Ecology 266
- Molecular Biology 249
- Ecology, Evolution, Behavior and Systematics 90
Countries citing papers authored by Katherine Graubard
This map shows the geographic impact of Katherine Graubard'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 Katherine Graubard with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Katherine Graubard more than expected).
Fields of papers citing papers by Katherine Graubard
This network shows the impact of papers produced by Katherine Graubard. 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 Katherine Graubard. The network helps show where Katherine Graubard may publish in the future.
Co-authorship network of co-authors of Katherine Graubard
This figure shows the co-authorship network connecting the top 25 collaborators of Katherine Graubard. A scholar is included among the top collaborators of Katherine Graubard 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 Katherine Graubard. Katherine Graubard is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 25 | |
| 2 | 11 | |
| 3 | 37 | |
| 4 | 45 | |
| 5 | 44 | |
| 6 | 85 | |
| 7 | 16 | |
| 8 | 38 | |
| 9 | 32 | |
| 10 | 38 | |
| 11 | 3 | |
| 12 | 41 | |
| 13 | 42 | |
| 14 | 17 | |
| 15 | 51 | |
| 16 | 28 | |
| 17 | 88 | |
| 18 | 53 | |
| 19 | 8 | |
| 20 | 49 |
About Katherine Graubard
Katherine Graubard is a scholar working on Cellular and Molecular Neuroscience, Cognitive Neuroscience and Ecology, having authored 29 papers that have together received 1.1k indexed citations. Recurring topics across this work include Neurobiology and Insect Physiology Research (21 papers), Neural dynamics and brain function (10 papers) and Physiological and biochemical adaptations (7 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (877 citations), Cognitive Neuroscience (330 citations) and Ecology (266 citations). Katherine Graubard has collaborated with scholars based in United States, Netherlands and Germany. Frequent co-authors include Daniel K. Hartline, Jonathan A. Raper, Nathaniel L. Scholz, James W. Truman, David H. Baldwin, William N. Ross, Andrew E. Christie, John N. Barrett, Ernest S. Chang and Michael J. Mustari. Their work appears in journals such as Science, Proceedings of the National Academy of Sciences and Journal of Neuroscience.
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.