Tara Gaertner
Impact in
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- Neuroscience and Neuropharmacology Research
Papers in
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- Protein Kinase Regulation and GTPase Signaling 3
- Protein Structure and Dynamics 3
- Signaling Pathways in Disease 2
- Ion channel regulation and function 2
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- Neuroscience and Neuropharmacology Research 2
- Neurobiology and Insect Physiology Research 2
- Co-authors
- M. Neal Waxham (6 shared papers)John A. Putkey (4 shared papers)Yu Tian Wang (2 shared papers)Quinn Kleerekoper (2 shared papers)Wei Xu (1 shared paper)Tak Pan Wong (1 shared paper)Nadège Chéry (1 shared paper)Michel Baudry (1 shared paper)
- Journals
- Journal of Biological Chemistry (4 papers)Biochemistry (1 paper)Neuron (1 paper)Biochimica et Biophysica Acta (BBA) - Biomembranes (1 paper)Neuropharmacology (1 paper)
- Partner nations
- United StatesCanadaSwitzerland
In The Last Decade
Tara Gaertner
8 papers receiving 546 citations
Peers
Comparison fields: 5 of 69
- Cellular and Molecular Neuroscience 279
- Developmental Neuroscience 27
- Cell Biology 106
- Molecular Biology 393
- Neurology 42
Countries citing papers authored by Tara Gaertner
This map shows the geographic impact of Tara Gaertner'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 Tara Gaertner with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tara Gaertner more than expected).
Fields of papers citing papers by Tara Gaertner
This network shows the impact of papers produced by Tara Gaertner. 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 Tara Gaertner. The network helps show where Tara Gaertner may publish in the future.
Co-authors
The 25 scholars most cited alongside Tara Gaertner, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2004 | 144 | |
| 2 | 2007 | 141 | |
| 3 | 2003 | 87 | |
| 4 | 2004 | 79 | |
| 5 | 2008 | 40 | |
| 6 | 2007 | 29 | |
| 7 | 2009 | 26 | |
| 8 | 2001 | 8 | |
| 9 | A novel mechanism for regulation of calmodulin signaling by RC3 | 2004 | 2 |
| 10 | 2004 | 1 |
About Tara Gaertner
Tara Gaertner is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience, Computational Theory and Mathematics, Cell Biology and Surgery, having authored 10 papers that have together received 557 indexed citations. Recurring topics across this work include Protein Kinase Regulation and GTPase Signaling (3 papers), Protein Structure and Dynamics (3 papers), Signaling Pathways in Disease (2 papers), Ion channel regulation and function (2 papers), Computational Drug Discovery Methods (2 papers), Neuroscience and Neuropharmacology Research (2 papers), Neurobiology and Insect Physiology Research (2 papers) and Cardiac electrophysiology and arrhythmias (1 paper). The work is most often cited by research in Cellular and Molecular Neuroscience (279 citations), Developmental Neuroscience (27 citations), Cell Biology (106 citations), Molecular Biology (393 citations) and Neurology (42 citations). Tara Gaertner has collaborated with scholars based in United States, Canada and Switzerland. Frequent co-authors include M. Neal Waxham, John A. Putkey, Yu Tian Wang, Quinn Kleerekoper, Wei Xu, Tak Pan Wong, Nadège Chéry, Michel Baudry, John M. Koomen and Dan Wang. Their work appears in journals such as Journal of Biological Chemistry, Biochemistry, Neuron, Biochimica et Biophysica Acta (BBA) - Biomembranes and Neuropharmacology.
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.