Sandra J. Kuhlman
- Cellular and Molecular Neuroscience top 0.5%
- Cognitive Neuroscience top 1%
- Endocrine and Autonomic Systems top 1%
- Molecular Biology
- Physiology top 10%
- Co-authors
- Z. Josh HuangDouglas G. McMahonBidisha ChattopadhyayaGraziella Di CristoJorge E. QuinteroGraham KnottElaine TringJoshua T. Trachtenberg
- Topics
- Neural dynamics and brain function (16 papers)Photoreceptor and optogenetics research (13 papers)Neuroscience and Neuropharmacology Research (13 papers)
- Journals
- NatureScienceNature Communications
- Partner nations
- United StatesSwitzerlandAustralia
In The Last Decade
Sandra J. Kuhlman
33 papers receiving 2.7k citations
Peers
Comparison fields: 5 of 106
- Cellular and Molecular Neuroscience 2.0k
- Cognitive Neuroscience 1.3k
- Endocrine and Autonomic Systems 752
- Molecular Biology 613
- Physiology 220
Countries citing papers authored by Sandra J. Kuhlman
This map shows the geographic impact of Sandra J. Kuhlman'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 Sandra J. Kuhlman with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sandra J. Kuhlman more than expected).
Fields of papers citing papers by Sandra J. Kuhlman
This network shows the impact of papers produced by Sandra J. Kuhlman. 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 Sandra J. Kuhlman. The network helps show where Sandra J. Kuhlman may publish in the future.
Co-authorship network of co-authors of Sandra J. Kuhlman
This figure shows the co-authorship network connecting the top 25 collaborators of Sandra J. Kuhlman. A scholar is included among the top collaborators of Sandra J. Kuhlman 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 Sandra J. Kuhlman. Sandra J. Kuhlman is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 4 | |
| 2 | 1 | |
| 3 | 8 | |
| 4 | 3 | |
| 5 | 9 | |
| 6 | 22 | |
| 7 | 31 | |
| 8 | 6 | |
| 9 | 303 | |
| 10 | 83 | |
| 11 | 38 | |
| 12 | 179 | |
| 13 | 5 | |
| 14 | 254 | |
| 15 | 19 | |
| 16 | 87 | |
| 17 | 50 | |
| 18 | 116 | |
| 19 | 115 | |
| 20 | 29 |
About Sandra J. Kuhlman
Sandra J. Kuhlman is a scholar working on Cellular and Molecular Neuroscience, Endocrine and Autonomic Systems and Cognitive Neuroscience, having authored 33 papers that have together received 2.7k indexed citations. Recurring topics across this work include Neural dynamics and brain function (16 papers), Photoreceptor and optogenetics research (13 papers) and Neuroscience and Neuropharmacology Research (13 papers). The work is most often cited by research in Endocrine and Autonomic Systems (752 citations), Cellular and Molecular Neuroscience (2.0k citations) and Cognitive Neuroscience (1.3k citations). Sandra J. Kuhlman has collaborated with scholars based in United States, Switzerland and Australia. Frequent co-authors include Z. Josh Huang, Douglas G. McMahon, Bidisha Chattopadhyaya, Graziella Di Cristo, Jorge E. Quintero, Graham Knott, Elaine Tring, Joshua T. Trachtenberg, Hiroyuki Higashiyama and Egbert Welker. Their work appears in journals such as Nature, Science and Nature Communications.
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.