U Mach
Impact in
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- Neuroscience and Neuropharmacology Research
- Neurotransmitter Receptor Influence on Behavior
- Nerve injury and regeneration
- Neuropeptides and Animal Physiology
- Neurology top 5%
- Parkinson's Disease Mechanisms and Treatments
- Neurological disorders and treatments
Papers in
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- Neuropeptides and Animal Physiology 2
- Neurotransmitter Receptor Influence on Behavior 2
- Neuroscience and Neuropharmacology Research 2
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- Receptor Mechanisms and Signaling 2
- Co-authors
- Holger Stark (4 shared papers)Sandrine Ferry (3 shared papers)Pierre Sokoloff (3 shared papers)Christian E. Gross (2 shared papers)Erwan Bézard (2 shared papers)Thomas Boraud (1 shared paper)Ludovic Leriche (1 shared paper)Camille G. Wermuth (1 shared paper)
- Journals
- Nature Medicine (1 paper)Bioorganic & Medicinal Chemistry (1 paper)Parkinsonism & Related Disorders (1 paper)ChemBioChem (1 paper)ChemMedChem (1 paper)
- Partner nations
- GermanyFranceUnited States
In The Last Decade
U Mach
7 papers receiving 554 citations
Peers
Comparison fields: 5 of 56
- Cellular and Molecular Neuroscience 348
- Neurology 268
- Organic Chemistry 85
- Molecular Biology 187
- Cognitive Neuroscience 52
Countries citing papers authored by U Mach
This map shows the geographic impact of U Mach'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 U Mach with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites U Mach more than expected).
Fields of papers citing papers by U Mach
This network shows the impact of papers produced by U Mach. 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 U Mach. The network helps show where U Mach may publish in the future.
Co-authors
The 22 scholars most cited alongside U Mach, 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 | 2003 | 328 | |
| 2 | 2005 | 105 | |
| 3 | 2004 | 83 | |
| 4 | 2006 | 25 | |
| 5 | 2007 | 17 | |
| 6 | 2006 | 1 | |
| 7 | [Pregnancy and labor in patients with idiopathic thrombocytopenia-- analysis of 12 cases]. | 1991 | 1 |
About U Mach
U Mach is a scholar working on Cellular and Molecular Neuroscience, Molecular Biology, Organic Chemistry, Pharmacology and Neurology, having authored 7 papers that have together received 560 indexed citations. Recurring topics across this work include Cholinesterase and Neurodegenerative Diseases (2 papers), Receptor Mechanisms and Signaling (2 papers), Parkinson's Disease Mechanisms and Treatments (2 papers), Neuropeptides and Animal Physiology (2 papers), Neurotransmitter Receptor Influence on Behavior (2 papers), Neuroscience and Neuropharmacology Research (2 papers), Chemical synthesis and alkaloids (2 papers) and Synthesis and biological activity (1 paper). The work is most often cited by research in Cellular and Molecular Neuroscience (348 citations), Neurology (268 citations), Organic Chemistry (85 citations), Molecular Biology (187 citations) and Cognitive Neuroscience (52 citations). U Mach has collaborated with scholars based in Germany, France and United States. Frequent co-authors include Holger Stark, Sandrine Ferry, Pierre Sokoloff, Christian E. Gross, Erwan Bézard, Thomas Boraud, Ludovic Leriche, Camille G. Wermuth, Jean‐Charles Schwartz and Sylvie Perachon. Their work appears in journals such as Nature Medicine, Bioorganic & Medicinal Chemistry, Parkinsonism & Related Disorders, ChemBioChem and ChemMedChem.
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.