Tija C. Jacob
- Cellular and Molecular Neuroscience top 1%
- Molecular Biology top 10%
- Cognitive Neuroscience top 5%
- Aging top 0.5%
- Cell Biology top 5%
- Co-authors
- Stephen J. MossRachel JurdJoshua M. KaplanMenelas N. PangalosRichard S. SalibaJayanta MukherjeeJean‐Marc FritschyVerena Tretter
- Topics
- Neuroscience and Neuropharmacology Research (21 papers)Photoreceptor and optogenetics research (7 papers)Lipid Membrane Structure and Behavior (7 papers)
- Journals
- Proceedings of the National Academy of SciencesNature CommunicationsJournal of Neuroscience
- Partner nations
- United StatesUnited KingdomItaly
In The Last Decade
Tija C. Jacob
27 papers receiving 2.1k citations
Hit Papers
Peers
Comparison fields: 5 of 97
- Cellular and Molecular Neuroscience 1.4k
- Molecular Biology 992
- Cognitive Neuroscience 341
- Aging 321
- Cell Biology 255
Countries citing papers authored by Tija C. Jacob
This map shows the geographic impact of Tija C. Jacob'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 Tija C. Jacob with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tija C. Jacob more than expected).
Fields of papers citing papers by Tija C. Jacob
This network shows the impact of papers produced by Tija C. Jacob. 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 Tija C. Jacob. The network helps show where Tija C. Jacob may publish in the future.
Co-authorship network of co-authors of Tija C. Jacob
This figure shows the co-authorship network connecting the top 25 collaborators of Tija C. Jacob. A scholar is included among the top collaborators of Tija C. Jacob 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 Tija C. Jacob. Tija C. Jacob is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 7 | |
| 3 | 1 | |
| 4 | 2 | |
| 5 | 34 | |
| 6 | 5 | |
| 7 | 26 | |
| 8 | 87 | |
| 9 | 29 | |
| 10 | 20 | |
| 11 | 48 | |
| 12 | 39 | |
| 13 | 4 | |
| 14 | 150 | |
| 15 | 35 | |
| 16 | 211 | |
| 17 | GABAA receptor trafficking and its role in the dynamic modulation of neuronal inhibitionbreakdown → | 512 |
| 18 | 106 | |
| 19 | 209 | |
| 20 | 117 |
About Tija C. Jacob
Tija C. Jacob is a scholar working on Aging, Cellular and Molecular Neuroscience and Neurology, having authored 27 papers that have together received 2.1k indexed citations. Recurring topics across this work include Neuroscience and Neuropharmacology Research (21 papers), Photoreceptor and optogenetics research (7 papers) and Lipid Membrane Structure and Behavior (7 papers). The work is most often cited by research in Aging (321 citations), Cellular and Molecular Neuroscience (1.4k citations) and Endocrine and Autonomic Systems (226 citations). Tija C. Jacob has collaborated with scholars based in United States, United Kingdom and Italy. Frequent co-authors include Stephen J. Moss, Rachel Jurd, Joshua M. Kaplan, Menelas N. Pangalos, Richard S. Saliba, Jayanta Mukherjee, Jean‐Marc Fritschy, Verena Tretter, Guido Michels and Peter S. Kim. Their work appears in journals such as Proceedings of the National Academy of Sciences, Nature Communications 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.