G. Ulrich
- Molecular Biology
- Neurology top 5%
- Cellular and Molecular Neuroscience top 10%
- Cardiology and Cardiovascular Medicine top 10%
- Physiology
- Co-authors
- J Ciesielski-TreskaDominique AunisSylvette Chasserot‐GolazMichael BäderLaurent TaupenotHeinz‐Peter SchultheißUwe KühlMartin Morad
- Topics
- Neuroinflammation and Neurodegeneration Mechanisms (6 papers)Alzheimer's disease research and treatments (5 papers)Adenosine and Purinergic Signaling (5 papers)
- Journals
- Journal of Biological ChemistryThe Journal of Experimental MedicineAnnals of the New York Academy of Sciences
- Partner nations
- FranceGermanyUnited States
In The Last Decade
G. Ulrich
27 papers receiving 761 citations
Peers
Comparison fields: 5 of 72
- Molecular Biology 324
- Neurology 235
- Cellular and Molecular Neuroscience 193
- Cardiology and Cardiovascular Medicine 163
- Physiology 146
Countries citing papers authored by G. Ulrich
This map shows the geographic impact of G. Ulrich'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 G. Ulrich with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites G. Ulrich more than expected).
Fields of papers citing papers by G. Ulrich
This network shows the impact of papers produced by G. Ulrich. 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 G. Ulrich. The network helps show where G. Ulrich may publish in the future.
Co-authorship network of co-authors of G. Ulrich
This figure shows the co-authorship network connecting the top 25 collaborators of G. Ulrich. A scholar is included among the top collaborators of G. Ulrich 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 G. Ulrich. G. Ulrich is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 31 | |
| 2 | 13 | |
| 3 | 67 | |
| 4 | 87 | |
| 5 | 86 | |
| 6 | Immunocytochemical localization of protein kinases Yes and Src in amoeboid microglia in culture: association of Yes kinase with vimentin intermediate filaments. | 27 |
| 7 | 62 | |
| 8 | 3 | |
| 9 | 41 | |
| 10 | Mechanism of action of Clostridium difficile toxin B: role of external medium and cytoskeletal organization in intoxicated cells. | 27 |
| 11 | 87 | |
| 12 | 16 | |
| 13 | 36 | |
| 14 | 5 | |
| 15 | 22 | |
| 16 | 31 | |
| 17 | 17 | |
| 18 | 10 | |
| 19 | 4 | |
| 20 | 2 |
About G. Ulrich
G. Ulrich is a scholar working on Physiology, Neurology and Biophysics, having authored 27 papers that have together received 777 indexed citations. Recurring topics across this work include Neuroinflammation and Neurodegeneration Mechanisms (6 papers), Alzheimer's disease research and treatments (5 papers) and Adenosine and Purinergic Signaling (5 papers). The work is most often cited by research in Neurology (235 citations), Developmental Neuroscience (45 citations) and Cellular and Molecular Neuroscience (193 citations). G. Ulrich has collaborated with scholars based in France, Germany and United States. Frequent co-authors include J Ciesielski-Treska, Dominique Aunis, Sylvette Chasserot‐Golaz, Michael Bäder, Laurent Taupenot, Heinz‐Peter Schultheiß, Uwe Kühl, Martin Morad, Jean Zwiller and M F Bader. Their work appears in journals such as Journal of Biological Chemistry, The Journal of Experimental Medicine and Annals of the New York 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.