Daniela Popa

4.0k citations
45 papers · 2.9k · h-index 24

Impact in

Papers in

Daniela Popa

43 papers receiving 2.8k citations

Peers

Daniela Popa
Comparison fields: 5 of 109
  • Behavioral Neuroscience 431
  • Cellular and Molecular Neuroscience 1.5k
  • Cognitive Neuroscience 1.5k
  • Biological Psychiatry 134
  • Endocrine and Autonomic Systems 299
Replace Norberto Cysne Coimbra with:
Norberto Cysne Coimbra Brazil
Étienne Coutureau France
Ryan T. LaLumiere United States
Joshua P. Johansen Japan
Sheree F. Logue United States
Jonathan P. Fadok United States
Anita C. Hansson Germany
F. Woodward Hopf United States
Sevil Duvarci United States
Maria A. de Souza Silva Germany
Daniela Popa relative to Norberto Cysne Coimbra Brazil Norberto Cysne Coimbra's profile →
Citations per field
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Norberto Cysne Coimbra · 1×
Citations per year

Countries citing papers authored by Daniela Popa

Since Specialization
Citations

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

Fields of papers citing papers by Daniela Popa

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 45 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2008373
2 2010257
3 2003200
4 2014179
5 2010156
6 2011155
7 2008148
8 2009146
9 2011144
10 2005124
11 2009103
12 200491
13 201390
14 201388
15 200688
16 202076
17 200952
18 202038
19 200537
20 202235

About Daniela Popa

Daniela Popa is a scholar working on Cellular and Molecular Neuroscience, Cognitive Neuroscience, Neurology, Molecular Biology and Neurology, having authored 45 papers that have together received 2.9k indexed citations. Recurring topics across this work include Neuroscience and Neuropharmacology Research (19 papers), Sleep and Wakefulness Research (9 papers), Memory and Neural Mechanisms (9 papers), Vestibular and auditory disorders (7 papers), Neural dynamics and brain function (7 papers), Receptor Mechanisms and Signaling (6 papers), Neurological disorders and treatments (6 papers) and Neurotransmitter Receptor Influence on Behavior (6 papers). The work is most often cited by research in Behavioral Neuroscience (431 citations), Cellular and Molecular Neuroscience (1.5k citations), Cognitive Neuroscience (1.5k citations), Biological Psychiatry (134 citations) and Endocrine and Autonomic Systems (299 citations). Daniela Popa has collaborated with scholars based in France, United States and Romania. Frequent co-authors include Denis Paré, Clément Léna, Sevil Duvarci, Andrei T. Popescu, Joëlle Adrien, Ekaterina Likhtik, John Apergis‐Schoute, M. Hamon, C Alexandre and Nicolas Guyon. Their work appears in journals such as Journal of Neuroscience, Nature Communications, Proceedings of the National Academy of Sciences, Nature Neuroscience and The Journal of Cell Biology.

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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