Danielle David

507 citations
16 papers · 414 · h-index 8

Impact in

Papers in

Danielle David

16 papers receiving 400 citations

Peers

Danielle David
Comparison fields: 5 of 65
  • Parasitology 107
  • Developmental and Educational Psychology 171
  • Statistics and Probability 87
  • Cognitive Neuroscience 169
  • Endocrinology 22
Replace Ahmet Uçar with:
Ahmet Uçar Türkiye
John Bretland Farmer United States
Gwen F. Myers United States
Jennifer K. Bell United States
R. Don Tustin Australia
Leah Scott United Kingdom
Caitlin Taylor United States
Laura Fontanari Italy
Gábor Lengyel Hungary
Danielle David relative to Ahmet Uçar Türkiye Ahmet Uçar's profile →
Citations per field
00.5×2×4×6×8.9×
Ahmet Uçar · 1×
Citations per year

Countries citing papers authored by Danielle David

Since Specialization
Citations

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

Fields of papers citing papers by Danielle David

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

16 of 16 papers shown
#Work
1
Phonological and visual processing deficits can dissociate in developmental dyslexia: Evidence from two case studies
2003152
2 199861
3 200151
4 199841
5 200140
6 200113
7 197911
8 19978
9 19917
10 20087
11 19756
12 19715
13 19724
14 19823
15 19953
16
[Experimental study of the gastric organogenesis of the Rabbit foetus : Normal development. Experimental localization of the presumptive area. Development of the cultured and grafted stomach].
19712

About Danielle David

Danielle David is a scholar working on Parasitology, Animal Science and Zoology, Cognitive Neuroscience, Developmental and Educational Psychology and Insect Science, having authored 16 papers that have together received 414 indexed citations. Recurring topics across this work include Parasitic Infections and Diagnostics (3 papers), Neurobiology of Language and Bilingualism (3 papers), Genomics and Phylogenetic Studies (2 papers), Language Development and Disorders (2 papers), Insect and Pesticide Research (2 papers), Animal Nutrition and Physiology (2 papers), Microbial Community Ecology and Physiology (2 papers) and Protist diversity and phylogeny (2 papers). The work is most often cited by research in Parasitology (107 citations), Developmental and Educational Psychology (171 citations), Statistics and Probability (87 citations), Cognitive Neuroscience (169 citations) and Endocrinology (22 citations). Danielle David has collaborated with scholars based in France, United Kingdom and Canada. Frequent co-authors include J Pellat, Bernard Ans, Sylviane Valdois, Serge Carbonnel, Marie‐Line Bosse, Michel Zorman, Christian P. Vivarès, Frédéric Delbac, Annik Charnallet and Guy Méténier. Their work appears in journals such as Development Genes and Evolution, Bulletin of Environmental Contamination and Toxicology, Brain and Language, Epileptic Disorders and Molecular Microbiology.

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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