Uta B. Schambra
- Cellular and Molecular Neuroscience top 1%
- Molecular Biology top 5%
- Developmental Neuroscience top 1%
- Cognitive Neuroscience top 5%
- Physiology top 10%
- Co-authors
- Jean M. LauderZheng ChenNathaniel HeintzMary E. HattenMartin L. DoughtyAlexandra L. JoynerGabrielle G. LeblancShiaoching Gong
- Topics
- Neuroscience and Neuropharmacology Research (5 papers)Receptor Mechanisms and Signaling (5 papers)Birth, Development, and Health (4 papers)
- Cited by
- Developmental NeuroscienceCellular and Molecular NeuroscienceEndocrine and Autonomic Systems
- Partner nations
- United StatesFinland
In The Last Decade
Uta B. Schambra
20 papers receiving 3.3k citations
Hit Papers
Peers
Comparison fields: 5 of 117
- Cellular and Molecular Neuroscience 1.6k
- Molecular Biology 1.5k
- Developmental Neuroscience 425
- Cognitive Neuroscience 423
- Physiology 264
Countries citing papers authored by Uta B. Schambra
This map shows the geographic impact of Uta B. Schambra'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 Uta B. Schambra with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Uta B. Schambra more than expected).
Fields of papers citing papers by Uta B. Schambra
This network shows the impact of papers produced by Uta B. Schambra. 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 Uta B. Schambra. The network helps show where Uta B. Schambra may publish in the future.
Co-authorship network of co-authors of Uta B. Schambra
This figure shows the co-authorship network connecting the top 25 collaborators of Uta B. Schambra. A scholar is included among the top collaborators of Uta B. Schambra 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 Uta B. Schambra. Uta B. Schambra 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 | 12 | |
| 3 | 21 | |
| 4 | 57 | |
| 5 | 29 | |
| 6 | A gene expression atlas of the central nervous system based on bacterial artificial chromosomesbreakdown → | 1642 |
| 7 | 204 | |
| 8 | 203 | |
| 9 | 7 | |
| 10 | 160 | |
| 11 | 373 | |
| 12 | 191 | |
| 13 | 13 | |
| 14 | 56 | |
| 15 | 29 | |
| 16 | 24 | |
| 17 | Atlas of the prenatal mouse brain | 127 |
| 18 | 47 | |
| 19 | 64 | |
| 20 | 86 |
About Uta B. Schambra
Uta B. Schambra is a scholar working on Cellular and Molecular Neuroscience, Developmental Neuroscience and Pediatrics, Perinatology and Child Health, having authored 20 papers that have together received 3.4k indexed citations. Recurring topics across this work include Neuroscience and Neuropharmacology Research (5 papers), Receptor Mechanisms and Signaling (5 papers) and Birth, Development, and Health (4 papers). The work is most often cited by research in Developmental Neuroscience (425 citations), Cellular and Molecular Neuroscience (1.6k citations) and Endocrine and Autonomic Systems (251 citations). Uta B. Schambra has collaborated with scholars based in United States and Finland. Frequent co-authors include Jean M. Lauder, Zheng Chen, Nathaniel Heintz, Mary E. Hatten, Martin L. Doughty, Alexandra L. Joyner, Gabrielle G. Leblanc, Shiaoching Gong, Norma J. Nowak and Robert T. Fremeau. Their work appears in journals such as Nature, The Journal of Comparative Neurology and Environmental Health Perspectives.
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.