Maria Kukley

2.3k citations
34 papers · 1.9k indexed · h-index 21
Topics
Neuroscience and Neuropharmacology Research (27 papers)Neurogenesis and neuroplasticity mechanisms (14 papers)Neuroinflammation and Neurodegeneration Mechanisms (12 papers)

In The Last Decade

Maria Kukley

34 papers receiving 1.8k citations

Peers

Maria Kukley
Comparison fields: 5 of 85
  • Cellular and Molecular Neuroscience 1.1k
  • Developmental Neuroscience 774
  • Molecular Biology 604
  • Neurology 531
  • Physiology 236
Replace Ronald Jabs with:
Ronald Jabs Germany
Philippe Anglade France
Sergei Kirischuk Germany
Kristen B. Casper United States
Matteo Bergami Germany
Micaela Zonta Italy
Alfonso Araque United States
Esther Pérez‐Navarro Spain
Pascale Chavis France
Kerstin Hüttmann Germany
Maria Kukley relative to Ronald Jabs Germany Ronald Jabs's profile →
Citations per field
00.5×1.5×
Ronald Jabs · 1×
Citations per year

Countries citing papers authored by Maria Kukley

Since Specialization
Citations

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

Fields of papers citing papers by Maria Kukley

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Maria Kukley

This figure shows the co-authorship network connecting the top 25 collaborators of Maria Kukley. A scholar is included among the top collaborators of Maria Kukley 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 Maria Kukley. Maria Kukley is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 1
2 18
3 20
4 31
5 6
6 10
7 7
8 34
9 136
10 18
11 84
12 382
13 7
14 26
15 97
16 45
17 132
18 40
19 41
20 44

About Maria Kukley

Maria Kukley is a scholar working on Developmental Neuroscience, Cellular and Molecular Neuroscience and Neurology, having authored 34 papers that have together received 1.9k indexed citations. Recurring topics across this work include Neuroscience and Neuropharmacology Research (27 papers), Neurogenesis and neuroplasticity mechanisms (14 papers) and Neuroinflammation and Neurodegeneration Mechanisms (12 papers). The work is most often cited by research in Developmental Neuroscience (774 citations), Neurology (531 citations) and Cellular and Molecular Neuroscience (1.1k citations). Maria Kukley has collaborated with scholars based in Germany, Spain and United States. Frequent co-authors include Dirk Dietrich, Estibaliz Capetillo‐Zarate, Heinz Beck, Akiko Nishiyama, Christian Steinhäuser, Ronald Jabs, Julian A. Barden, А. А. Болдырев, Anahit Hovhannisyan and Toni Schneider. Their work appears in journals such as Neuron, Journal of Neuroscience and Nature 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.

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