Daniela Mayer

823 citations
23 papers · 630 · h-index 10

Impact in

  • Education top 5%
    • Science Education and Pedagogy
    • Early Childhood Education and Development
    • Cancer-related molecular mechanisms research

Papers in

    • Early Childhood Education and Development 10
    • Science Education and Pedagogy 7
    • Attachment and Relationship Dynamics 2

Daniela Mayer

21 papers receiving 593 citations

Peers

Daniela Mayer
Comparison fields: 5 of 63
  • Education 251
  • Cancer Research 58
  • Genetics 107
  • Developmental and Educational Psychology 41
  • Aging 4
Replace Shih‐Yuan Huang with:
Shih‐Yuan Huang Taiwan
Sally G. Pasion United States
Ying Du China
James E. J. Bedard United States
Joanne Hunt United States
Cole Walsh United States
Shannon K. Stefl United States
Yanli Lin United States
Amy T. Hark United States
Jacob D. Kagey United States
Daniela Mayer relative to Shih‐Yuan Huang Taiwan Shih‐Yuan Huang's profile →
Citations per field
00.5×2×3×3.6×
Shih‐Yuan Huang · 1×
Citations per year

Countries citing papers authored by Daniela Mayer

Since Specialization
Citations

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

Fields of papers citing papers by Daniela Mayer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Daniela Mayer, 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 Daniela Mayer Line = papers co-authored together Daniela Mayer links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 23 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2013113
2 2017112
3 201494
4 201894
5 201382
6 201629
7 201924
8 201119
9 201411
10 201810
11 20158
12 20106
13 20175
14 20175
15 20134
16 20083
17 20153
18 20183
19 20192
20 20151

About Daniela Mayer

Daniela Mayer is a scholar working on Education, Social Psychology, Genetics, Language and Linguistics and Experimental and Cognitive Psychology, having authored 23 papers that have together received 630 indexed citations. Recurring topics across this work include Early Childhood Education and Development (10 papers), Science Education and Pedagogy (7 papers), Pluripotent Stem Cells Research (2 papers), Genetic Syndromes and Imprinting (2 papers), Attachment and Relationship Dynamics (2 papers), Linguistic Education and Pedagogy (1 paper), Dementia and Cognitive Impairment Research (1 paper) and Psychoanalysis and Psychopathology Research (1 paper). The work is most often cited by research in Education (251 citations), Cancer Research (58 citations), Genetics (107 citations), Developmental and Educational Psychology (41 citations) and Aging (4 citations). Daniela Mayer has collaborated with scholars based in Germany, Austria and Switzerland. Frequent co-authors include Beate Sodian, Knut Schwippert, Susanne Koerber, Christopher Osterhaus, Florian M. Pauler, Denise P. Barlow, Katarzyna E. Warczok, Alexey Stukalov, Christoph P. Dotter and Quanah James Hudson. Their work appears in journals such as Child Development, Learning and Instruction, Cell stem cell, The EMBO Journal and Development.

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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