Csaba Dávid

1.0k citations
15 papers · 718 · h-index 10

Impact in

Papers in

Csaba Dávid

15 papers receiving 709 citations

Peers

Csaba Dávid
Comparison fields: 5 of 70
  • Cellular and Molecular Neuroscience 472
  • Cognitive Neuroscience 403
  • Developmental Neuroscience 71
  • Neurology 82
  • Endocrine and Autonomic Systems 50
Replace Lucı́a Prensa with:
Lucı́a Prensa Spain
Gergely G. Szabo United States
Trang T. Lam United States
César Porrero Spain
Jiandong Yu China
Kousuke Taki Japan
Segundo Jose Guzman Austria
Madoka Narushima Japan
Varun Sreenivasan United States
Mark T. Harnett United States
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Citations per field
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Citations per year

Countries citing papers authored by Csaba Dávid

Since Specialization
Citations

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

Fields of papers citing papers by Csaba Dávid

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

15 of 15 papers shown
#Work
1 2009197
2 2017146
3 200797
4 201860
5 201344
6 201444
7 201037
8 201031
9 201926
10 202522
11
[Ultrastructure of unmyelinated nerve fibers fixed with the Champy-Maillet reagent].
19685
12 20245
13 19962
14
Ontogeny of the dendritic, and follicle-associated epithelial cells in the bursa of Fabricius of guinea fowl (Numida meleagris).
20011
15
[Remarks on the histogenesis of medullary carcinoma with amyloid stroma of the thyroid. Apropos of 5 cases with ultrastructural study of 2 cases].
19711

About Csaba Dávid

Csaba Dávid is a scholar working on Cellular and Molecular Neuroscience, Cognitive Neuroscience, Developmental Neuroscience, Neurology and Endocrine and Autonomic Systems, having authored 15 papers that have together received 718 indexed citations. Recurring topics across this work include Neuroscience and Neuropharmacology Research (7 papers), Neural dynamics and brain function (4 papers), Sleep and Wakefulness Research (3 papers), Photoreceptor and optogenetics research (3 papers), Neurogenesis and neuroplasticity mechanisms (2 papers), Neuroinflammation and Neurodegeneration Mechanisms (2 papers), Animal Genetics and Reproduction (1 paper) and Veterinary Oncology Research (1 paper). The work is most often cited by research in Cellular and Molecular Neuroscience (472 citations), Cognitive Neuroscience (403 citations), Developmental Neuroscience (71 citations), Neurology (82 citations) and Endocrine and Autonomic Systems (50 citations). Csaba Dávid has collaborated with scholars based in Hungary, Germany and United States. Frequent co-authors include Jochen F. Staiger, Axel Schleicher, Werner Zuschratter, Jean Rossier, Thierry Gallopin, Anastassios Karagiannis, Demian Battaglia, H Geoffroy, Elizabeth M. C. Hillman and Bruno Cauli. Their work appears in journals such as Journal of Neuroscience, Nature Neuroscience, European Journal of Neuroscience, Neuroscience and Acta Neuropathologica.

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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