Daniela Durand

30 papers receiving 991 citations

Peers

Daniela Durand
Comparison fields: 5 of 105
  • Endocrine and Autonomic Systems 233
  • Neurology 263
  • Biological Psychiatry 70
  • Cellular and Molecular Neuroscience 309
  • Developmental Neuroscience 59
Replace Lila Carniglia with:
Lila Carniglia Argentina
Faridis Serrano United States
Phillip E. Kunkler United States
Sudarshana Purkayastha United States
Célia A. Aveleira Portugal
Banthit Chetsawang Thailand
Sandra D. Santos Portugal
Kayoko Fujishita Japan
Helen M. Melo Brazil
Hudson Sousa Buck Brazil
Daniela Durand relative to Lila Carniglia Argentina Lila Carniglia's profile →
Citations per field
00.5×1.5×1.8×
Lila Carniglia · 1×
Citations per year

Countries citing papers authored by Daniela Durand

Since Specialization
Citations

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

Fields of papers citing papers by Daniela Durand

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 30 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2017194
2 200782
3 202178
4 201162
5 200855
6 201850
7 201345
8 200844
9 201537
10 201235
11 202233
12 201332
13 201332
14 201730
15 202026
16 201123
17 201621
18 200918
19 200516
20 201914

About Daniela Durand

Daniela Durand is a scholar working on Cellular and Molecular Neuroscience, Endocrine and Autonomic Systems, Neurology, Nutrition and Dietetics and Molecular Biology, having authored 30 papers that have together received 996 indexed citations. Recurring topics across this work include Neuroscience and Neuropharmacology Research (11 papers), Regulation of Appetite and Obesity (11 papers), Neuroinflammation and Neurodegeneration Mechanisms (11 papers), Biochemical Analysis and Sensing Techniques (8 papers), Alzheimer's disease research and treatments (5 papers), melanin and skin pigmentation (5 papers), Adipokines, Inflammation, and Metabolic Diseases (4 papers) and Receptor Mechanisms and Signaling (4 papers). The work is most often cited by research in Endocrine and Autonomic Systems (233 citations), Neurology (263 citations), Biological Psychiatry (70 citations), Cellular and Molecular Neuroscience (309 citations) and Developmental Neuroscience (59 citations). Daniela Durand has collaborated with scholars based in Argentina, United States and Spain. Frequent co-authors include Mercedes Lasaga, Carla Caruso, Lila Carniglia, Julieta Saba, Teresa Scimonelli, Delia Ramírez, Juan Turati, Adriana Seilicovich, Rodolfo A. Rey and Helgi B. Schiöth. Their work appears in journals such as Neuropharmacology, PLoS ONE, Journal of Neurochemistry, Molecular and Cellular Endocrinology and Journal of Neuroimmunology.

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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