Terri L. Gilbert
- Molecular Biology top 10%
- Cellular and Molecular Neuroscience top 10%
- Surgery
- Genetics
- Cognitive Neuroscience top 10%
- Co-authors
- Michael HawrylyczSusan M. SunkinTim DolbeareLydia NgChris LauChinh DangCarol L. ThompsonPatrick J. O’Hara
- Topics
- Receptor Mechanisms and Signaling (3 papers)Neuropeptides and Animal Physiology (3 papers)S100 Proteins and Annexins (3 papers)
- Journals
- Proceedings of the National Academy of SciencesNucleic Acids ResearchJournal of Biological Chemistry
- Partner nations
- United StatesPolandFrance
In The Last Decade
Terri L. Gilbert
20 papers receiving 1.3k citations
Hit Papers
Peers
Comparison fields: 5 of 125
- Molecular Biology 767
- Cellular and Molecular Neuroscience 167
- Surgery 150
- Genetics 150
- Cognitive Neuroscience 118
Countries citing papers authored by Terri L. Gilbert
This map shows the geographic impact of Terri L. Gilbert'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 Terri L. Gilbert with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Terri L. Gilbert more than expected).
Fields of papers citing papers by Terri L. Gilbert
This network shows the impact of papers produced by Terri L. Gilbert. 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 Terri L. Gilbert. The network helps show where Terri L. Gilbert may publish in the future.
Co-authorship network of co-authors of Terri L. Gilbert
This figure shows the co-authorship network connecting the top 25 collaborators of Terri L. Gilbert. A scholar is included among the top collaborators of Terri L. Gilbert 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 Terri L. Gilbert. Terri L. Gilbert is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | The Allen Brain Atlas as a Resource for Teaching Undergraduate Neuroscience. | 13 |
| 2 | 15 | |
| 3 | Allen Brain Atlas: an integrated spatio-temporal portal for exploring the central nervous systembreakdown → | 497 |
| 4 | 58 | |
| 5 | 16 | |
| 6 | 52 | |
| 7 | 5 | |
| 8 | 38 | |
| 9 | 1 | |
| 10 | 24 | |
| 11 | 153 | |
| 12 | 110 | |
| 13 | 1 | |
| 14 | 5 | |
| 15 | 12 | |
| 16 | 137 | |
| 17 | 75 | |
| 18 | 35 | |
| 19 | 2 | |
| 20 | 69 |
About Terri L. Gilbert
Terri L. Gilbert is a scholar working on Molecular Biology, Molecular Medicine and Immunology and Allergy, having authored 21 papers that have together received 1.3k indexed citations. Recurring topics across this work include Receptor Mechanisms and Signaling (3 papers), Neuropeptides and Animal Physiology (3 papers) and S100 Proteins and Annexins (3 papers). The work is most often cited by research in Molecular Biology (767 citations), Cellular and Molecular Neuroscience (167 citations) and Biophysics (51 citations). Terri L. Gilbert has collaborated with scholars based in United States, Poland and France. Frequent co-authors include Michael Hawrylycz, Susan M. Sunkin, Tim Dolbeare, Lydia Ng, Chris Lau, Chinh Dang, Carol L. Thompson, Patrick J. O’Hara, Francis James Grant and Joseph R. Day. Their work appears in journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and Journal of Biological Chemistry.
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.