Daniela Talhada

428 citations
21 papers · 316 · h-index 11

Impact in

Papers in

Daniela Talhada

20 papers receiving 314 citations

Peers

Daniela Talhada
Comparison fields: 5 of 73
  • Endocrine and Autonomic Systems 65
  • Neurology 68
  • Developmental Neuroscience 34
  • Cellular and Molecular Neuroscience 94
  • Biological Psychiatry 12
Replace Jonathan D. Teo with:
Jonathan D. Teo Australia
C. López-López Spain
Audrey Rousseaud France
Joaquín Pardo Argentina
Christelle Devader France
Xiao Ren United States
Kerry Rennie Canada
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Citations per field
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Citations per year

Countries citing papers authored by Daniela Talhada

Since Specialization
Citations

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

Fields of papers citing papers by Daniela Talhada

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 21 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201957
2 201838
3 201734
4 201833
5 201930
6 202023
7 201820
8 201515
9 202111
10 201310
11 201910
12 20239
13 20197
14 20205
15 20134
16 20214
17
The effects of whole green tea infusion on mouse urinary bladder chemical carcinogenesis.
20142
18 20152
19 20231
20 20231

About Daniela Talhada

Daniela Talhada is a scholar working on Cellular and Molecular Neuroscience, Neurology, Molecular Biology, Developmental Neuroscience and Cognitive Neuroscience, having authored 21 papers that have together received 316 indexed citations. Recurring topics across this work include Neuroinflammation and Neurodegeneration Mechanisms (5 papers), Neuroscience and Neuropharmacology Research (5 papers), Neurogenesis and neuroplasticity mechanisms (3 papers), Retinal Development and Disorders (2 papers), Circadian rhythm and melatonin (2 papers), Neural dynamics and brain function (2 papers), Neuroblastoma Research and Treatments (1 paper) and Thyroid Disorders and Treatments (1 paper). The work is most often cited by research in Endocrine and Autonomic Systems (65 citations), Neurology (68 citations), Developmental Neuroscience (34 citations), Cellular and Molecular Neuroscience (94 citations) and Biological Psychiatry (12 citations). Daniela Talhada has collaborated with scholars based in Portugal, Sweden and Germany. Frequent co-authors include Karsten Ruscher, Cecília R.A. Santos, Isabel Gonçalves, Telma Quintela, Tadeusz Wieloch, Ana Catarina Duarte, Monika Rabenstein, Ana R. Costa, Tânia Albuquerque and Liliana Bernardino. Their work appears in journals such as International Journal of Molecular Sciences, PLoS ONE, Journal of Pineal Research, Acta Neuropathologica Communications and Brain.

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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