Gabriele Grenningloh
- Molecular Biology top 2%
- Cellular and Molecular Neuroscience top 0.5%
- Cell Biology top 0.5%
- Developmental Neuroscience top 1%
- Physiology top 10%
- Co-authors
- Heinrich BetzCorey S. GoodmanE. Jay RehmKonrad BeyreutherBertram SchmittStefan CatsicasGilbert Di PaoloEvelyne Ruchti
- Topics
- Microtubule and mitosis dynamics (21 papers)Cellular Mechanics and Interactions (15 papers)Receptor Mechanisms and Signaling (12 papers)
- Partner nations
- SwitzerlandUnited StatesGermany
In The Last Decade
Gabriele Grenningloh
56 papers receiving 5.3k citations
Hit Papers
Peers
Comparison fields: 5 of 119
- Molecular Biology 3.5k
- Cellular and Molecular Neuroscience 3.2k
- Cell Biology 1.4k
- Developmental Neuroscience 430
- Physiology 351
Countries citing papers authored by Gabriele Grenningloh
This map shows the geographic impact of Gabriele Grenningloh'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 Gabriele Grenningloh with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Gabriele Grenningloh more than expected).
Fields of papers citing papers by Gabriele Grenningloh
This network shows the impact of papers produced by Gabriele Grenningloh. 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 Gabriele Grenningloh. The network helps show where Gabriele Grenningloh may publish in the future.
Co-authorship network of co-authors of Gabriele Grenningloh
This figure shows the co-authorship network connecting the top 25 collaborators of Gabriele Grenningloh. A scholar is included among the top collaborators of Gabriele Grenningloh 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 Gabriele Grenningloh. Gabriele Grenningloh is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | Modulation of astrocytic glucose metabolism by the antidiabetic drug metformin | 3 |
| 2 | Role of glycogen-derived lactate in synaptic plasticity and memory | 1 |
| 3 | 72 | |
| 4 | 40 | |
| 5 | 7 | |
| 6 | 29 | |
| 7 | 14 | |
| 8 | 11 | |
| 9 | 52 | |
| 10 | 60 | |
| 11 | 136 | |
| 12 | 50 | |
| 13 | 27 | |
| 14 | 258 | |
| 15 | 42 | |
| 16 | 265 | |
| 17 | 32 | |
| 18 | 105 | |
| 19 | 7 | |
| 20 | 141 |
About Gabriele Grenningloh
Gabriele Grenningloh is a scholar working on Developmental Neuroscience, Cell Biology and Cellular and Molecular Neuroscience, having authored 57 papers that have together received 5.4k indexed citations. Recurring topics across this work include Microtubule and mitosis dynamics (21 papers), Cellular Mechanics and Interactions (15 papers) and Receptor Mechanisms and Signaling (12 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (3.2k citations), Developmental Neuroscience (430 citations) and Cell Biology (1.4k citations). Gabriele Grenningloh has collaborated with scholars based in Switzerland, United States and Germany. Frequent co-authors include Heinrich Betz, Corey S. Goodman, E. Jay Rehm, Konrad Beyreuther, Bertram Schmitt, Stefan Catsicas, Gilbert Di Paolo, Evelyne Ruchti, Peter R. Schofield and Volker Schmieden. Their work appears in journals such as Nature, Cell and Proceedings of the National Academy of Sciences.
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.