Csaba Dávid

994 citations
14 papers · 646 · h-index 9

Impact in

Papers in

Csaba Dávid

14 papers receiving 641 citations

Peers

Csaba Dávid
Comparison fields: 5 of 67
  • Cellular and Molecular Neuroscience 462
  • Cognitive Neuroscience 383
  • Developmental Neuroscience 65
  • Neurology 75
  • Endocrine and Autonomic Systems 52
Replace Lucı́a Prensa with:
Lucı́a Prensa Spain
Trang T. Lam United States
Gergely Szabó United States
César Porrero Spain
Mark T. Harnett United States
Christina McClure United Kingdom
Madoka Narushima Japan
Varun Sreenivasan United States
Mikko Oijala United States
Segundo J. Guzman Austria
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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

14 of 14 papers shown
#Work
1 2009186
2 2017135
3 200794
4 201855
5 201342
6 201441
7 201033
8 201028
9 201922
10
[Ultrastructure of unmyelinated nerve fibers fixed with the Champy-Maillet reagent].
19685
11 19962
12 20241
13
[Remarks on the histogenesis of medullary carcinoma with amyloid stroma of the thyroid. Apropos of 5 cases with ultrastructural study of 2 cases].
19711
14
Ontogeny of the dendritic, and follicle-associated epithelial cells in the bursa of Fabricius of guinea fowl (Numida meleagris).
20011

About Csaba Dávid

Csaba Dávid is a scholar working on Cellular and Molecular Neuroscience, Cognitive Neuroscience, Developmental Neuroscience, Surgery and Small Animals, having authored 14 papers that have together received 646 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), Animal Genetics and Reproduction (1 paper), Advanced Neuroimaging Techniques and Applications (1 paper) and Alzheimer's disease research and treatments (1 paper). The work is most often cited by research in Cellular and Molecular Neuroscience (462 citations), Cognitive Neuroscience (383 citations), Developmental Neuroscience (65 citations), Neurology (75 citations) and Endocrine and Autonomic Systems (52 citations). Csaba Dávid has collaborated with scholars based in Hungary, Germany and United States. Frequent co-authors include Jochen F. Staiger, Werner Zuschratter, Axel Schleicher, Jean Rossier, Thierry Gallopin, Demian Battaglia, Bruno Cauli, Elizabeth M. C. Hillman, Anastassios Karagiannis and H Geoffroy. Their work appears in journals such as Journal of Neuroscience, Veterinary Pathology, Neuroscience, Cell Reports 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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