Uwe Beffert

5.1k citations
42 papers · 3.9k indexed · h-index 30

Uwe Beffert

40 papers receiving 3.9k citations

Peers

Uwe Beffert
Comparison fields: 5 of 103
  • Developmental Neuroscience 994
  • Cellular and Molecular Neuroscience 1.3k
  • Neurology 511
  • Physiology 1.6k
  • Cell Biology 554
Replace Mohamed H. Farah with:
Mohamed H. Farah United States
Amy K.Y. Fu Hong Kong
Juana M. Pasquini Argentina
Sung Ok Yoon United States
Frank Gillardon Germany
MP Mattson United States
Carl W. Cotman United States
Marlen Knobloch Switzerland
Sebastián Pons Spain
Graham P. Wilkin United Kingdom
Uwe Beffert relative to Mohamed H. Farah United States Mohamed H. Farah's profile →
Citations per field
00.5×1.5×1.8×
Mohamed H. Farah · 1×
Citations per year

Countries citing papers authored by Uwe Beffert

Since Specialization
Citations

This map shows the geographic impact of Uwe Beffert'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 Uwe Beffert with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Uwe Beffert more than expected).

Fields of papers citing papers by Uwe Beffert

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Uwe Beffert. 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 Uwe Beffert. The network helps show where Uwe Beffert may publish in the future.

Co-authorship network

The 25 scholars most cited alongside Uwe Beffert, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Uwe Beffert Line = papers co-authored together Uwe Beffert links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20241
2 20230
3 20215
4 20199
5 200669
6 200692
7 2005368
8 200487
9 200414
10 2003171
11 200273
12 2002252
13 200149
14 2000153
15 199952
16 1999111
17 199964
18 199833
19 1998154
20 19951

About Uwe Beffert

Uwe Beffert is a scholar working on Developmental Neuroscience, Physiology, Neurology, Cellular and Molecular Neuroscience and Aging, having authored 42 papers that have together received 3.9k indexed citations. Recurring topics across this work include Alzheimer's disease research and treatments (21 papers), Neurogenesis and neuroplasticity mechanisms (11 papers), Nuclear Receptors and Signaling (6 papers), Neuroscience and Neuropharmacology Research (5 papers), Neuroinflammation and Neurodegeneration Mechanisms (5 papers), Cellular transport and secretion (4 papers), Cholinesterase and Neurodegenerative Diseases (4 papers) and Microtubule and mitosis dynamics (4 papers). The work is most often cited by research in Developmental Neuroscience (994 citations), Cellular and Molecular Neuroscience (1.3k citations), Neurology (511 citations), Physiology (1.6k citations) and Cell Biology (554 citations). Uwe Beffert has collaborated with scholars based in United States, Canada and Germany. Frequent co-authors include Joachim Herz, Judes Poirier, Edwin J. Weeber, J. David Sweatt, Gerardo Morfini, Scott T. Brady, Joachim Herz, Chris Jones, Eckart Förster and Jean Davignon. Their work appears in journals such as Journal of Neuroscience, Journal of Biological Chemistry, Neuron, Neurobiology of Disease and PLoS Genetics.

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.

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